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<h3>Job Description</h3>
Job DescriptionAt BETA Technologies, we apply our intellectual curiosity, passion for aviation, and commitment to sustainability toward a shared mission of revolutionizing electric aviation. Regardless of the position one holds, each team member brings their talent and desire to positively impact the environment and lives of others in a refreshing, vibrant, and inclusive culture. We are looking for a Flight Data Analytics Engineer to join our growing team. The person in this position will play a pivotal role in enhancing and expanding BETA's existing flight data capabilities by building upon established transformations, evolving our dashboard ecosystem, and ensuring continued reliable data delivery from aircraft systems to end-user dashboards. The ideal candidate enjoys turning complex technical data into actionable insights, possesses a strong understanding of analytical workflows, and is adept at collaborating with diverse stakeholders from aircraft systems engineers to commercial teams. They must be self-directed and comfortable bridging the gap between highly technical aviation systems and the varied analytical needs of flight test, engineering, and commercial teams.&nbsp;How you will contribute to revolutionizing electric aviation:
<ul>
<li>Design and maintain data transformations using Python and SQL to convert raw aircraft systems data into analysis-ready datasets, ensuring accuracy and consistency across the data pipeline</li>
<li>Define performant data models to power dashboards and reporting, maintaining their coherence and evolution over time</li>
<li>Build and maintain interactive dashboards and data exploration tools to support flight test teams, aircraft systems engineers, and other stakeholders</li>
<li>Collaborate with aircraft systems engineering teams to understand data schema changes, system interface updates, and evolving data requirements to ensure transformations remain current and accurate</li>
<li>Effectively communicate with both technical and non-technical stakeholders, translating complex data concepts into understandable insights and recommendations</li>
<li>Monitor data quality and integrity throughout the pipeline from aircraft systems to end-user consumption, implementing validation checks and error detection mechanisms</li>
<li>Maintain and optimize data processing workflows running on AWS infrastructure, troubleshooting issues and ensuring reliable data delivery</li>
<li>Maintain documentation of code, algorithms, and data definitions, ensuring clarity for other team members and stakeholders</li>
<li>Work with data and subject matter experts to strive for greater self-serve functionality in our data systems</li>
<li>As necessary, facilitate ad-hoc analysis requests using tools like Jupyter notebooks and direct SQL queries</li>
<li>Actively contribute to a collaborative team environment, fostering open communication, mutual respect, and a unified vision to achieve shared goals and drive business value</li>
<li>Participate in collaborative code and work reviews, providing constructive feedback to teammates and incorporating feedback to continuously improve data solutions and maintain team standards</li>
</ul>
Minimum Qualifications:
<ul>
<li>Bachelor's degree in Engineering, Computer Science, Data Science, or related technical field</li>
<li>3+ years of experience in data analysis, business intelligence, or analytics engineering roles</li>
<li>Strong proficiency in Python for data manipulation, analysis, and pipeline development</li>
<li>Advanced SQL skills and experience with relational databases, as well as familiarity with columnar (e.g., RedShift) and non-relational (e.g. DynamoDB) databases</li>
<li>Experience with cloud platforms (preferably AWS) and containerized applications</li>
<li>Proficiency with data visualization tools and dashboard development</li>
<li>Strong analytical and problem-solving skills with attention to detail and data accuracy</li>
<li>Excellent communication skills with ability to work effectively with both technical and business stakeholders</li>
<li> Experience working with time-series data and large datasets</li>
<li>Understanding of data pipeline concepts and ETL/ELT processes</li>
<li>Aptitude for rapidly learning and integrating with APIs</li>
<li>Understanding of DevOps practices including CI/CD, version control (Git), and infrastructure as code</li>
<li>Strong project management and organizational skills</li>
<li>Exceptional troubleshooting skills with the ability to spot issues before they become problems</li>
<li>Experience supporting and working with cross-functional teams in a dynamic environment</li>
</ul>
Above and Beyond Qualifications:
<ul>
<li>Aerospace, aviation, or flight test experience with understanding of aircraft systems and operations</li>
<li>Experience with AWS services including ECS, Fargate, S3, Athena, and related data services</li>
<li>Familiarity with workflow orchestration tools such as Apache Airflow</li>
<li>Experience with modern data lakehouse architectures (Iceberg, Delta Lake, etc.) and query engines like Trino</li>
<li>Grafana expertise including advanced dashboard development, alerting, and plugin usage</li>
<li>dbt (Data Build Tool) experience for analytics engineering workflows</li>
<li>Experience with Jupyter notebooks and Python data science libraries (pandas, numpy, matplotlib, etc.)</li>
<li>Knowledge of data modeling techniques and dimensional modeling concepts</li>
<li>Experience with real-time or streaming data processing</li>
<li>Background in systems engineering or instrumentation with understanding of sensor data and measurement systems</li>
<li>Familiarity with aviation regulations and standards (DO-178, DO-254, DO-330 etc.) as they relate to data systems</li>
</ul>
The wage listed here reflects our best faith estimate for this role. We pay competitively and base compensation on a variety of factors including skills, experience, industry background, and the evolving needs of the role. We remain committed to fair and equitable pay and we're happy to discuss during the interview process.Build electric airplanes with us! We encourage all driven candidates to apply, even if they do not meet every listed qualification. We are an equal opportunity employer. Employment decisions are based on merit, competence and qualifications and will not be influenced in any manner on race, color, religion, age, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, disability, veteran or military status, genetic information, pregnancy, or any other protected characteristic under federal, state, or local law. BETA complies with all applicable federal, state and local non-discrimination laws and does not tolerate discrimination of any kind in our workplace. Employment offers are contingent upon the successful completion of a background check. BETA Technologies participates in E-Verify.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Flight Data Analytics Engineer \u007C Digital Infrastructure

<h3>Job Description</h3>
Job Description
We are seeking a highly skilled and experienced Data Scientist to join our dynamic team. As a Data Scientist in our organization, you will play a crucial role in developing machine learning algorithms, building data pipelines, and driving insights and predictive suggestions on products purchased. You will work with large amounts of data, handle data preprocessing tasks, and effectively communicate complex systems and algorithms to stakeholders.
Who we are:
Buyers Edge Platform stands at the forefront of revolutionizing the food service industry through technology, purchasing power and partnerships. We are dedicated to empowering stakeholders across the entire food service ecosystem (operators, distributors, manufacturers) with efficiency and unprecedented visibility. With a diverse portfolio of over a dozen brands, our mission is clear: to reduce costs, streamline the foodservice supply chain, and propel the industry from manual to automated.   
Today, we are one of the largest players in food service, with over 200K operator locations across North America and over $50 billion of aggregated spend volume. Our commitment to food service excellence is proven in four distinct areas of value: Digital Procurement Network, Fresh Solutions, Supply Chain Management, and Software. Buyers Edge Platform is not just a provider – we are a strategic partner on the journey towards a more efficient, connected, and automated future for the foodservice industry. 
This position is fully remote. We are unable to offer work sponsorship for this role.
Your impact:
<ol>
<li>Machine Learning Algorithm Development and Predictive Modeling: Utilize your expertise in machine learning to develop algorithms that analyze and interpret large datasets. Design and implement models that provide valuable insights, predictive suggestions, and accurate forecasting on consumer behavior, product preferences, and market trends.</li>
<li>Data Pipeline Development and Data Handling: Design, implement, and maintain data pipelines to extract, transform, and load data from various sources. Process and manipulate large amounts of data efficiently, ensuring data integrity, quality, and availability. Implement data preprocessing techniques as part of the data pipeline to prepare datasets for analysis and modeling.</li>
<li>Data Analysis and Exploration: Conduct thorough data analysis and exploration to identify patterns, trends, and anomalies within large datasets. Utilize statistical techniques and visualization tools to uncover meaningful insights and drive data-driven decision-making.</li>
<li>Independent Problem Solving: Work independently on complex systems and algorithms, demonstrating strong problem-solving skills and the ability to handle challenges effectively. Take ownership of projects and drive them to successful completion, meeting both technical and business objectives.</li>
<li>Communication and Stakeholder Engagement: Effectively communicate complex technical concepts and the results of your analyses to stakeholders. Articulate the intricacies of systems, algorithms, and insights in a clear and concise manner, enabling stakeholders to make informed decisions.</li>
<li>Collaboration and Teamwork: Collaborate with cross-functional teams, including data engineers, business analysts, and domain experts, to gather requirements, understand business objectives, and align data science initiatives with organizational goals.</li>
</ol>
About you:
<ol>
<li>Educational Background: A bachelor's or master's degree in computer science, statistics, mathematics, or a related field.</li>
<li>Technical Skills: Proficiency in programming languages such as Python. Strong knowledge of machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li>
<li>Data Handling and Pipeline Development: Experience working with large datasets and developing data pipelines for data extraction, transformation, and loading. Proficiency in pandas for efficient data handling and manipulation.</li>
<li>Analytical Thinking: Strong analytical and problem-solving skills with the ability to think creatively and propose innovative solutions. Attention to detail and a passion for working with complex datasets.</li>
<li>Communication Skills: Excellent written and verbal communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders. Experience presenting findings and insights to stakeholders at various levels of the organization.</li>
<li>Independence and Collaboration: Demonstrated ability to work independently on complex systems and algorithms. Strong teamwork and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.</li>
</ol>
Not sure you meet every qualification? Studies show that diverse applicants often hesitate to apply unless they check every box. At Buyers Edge Platform, we value authenticity and inclusion—if you're excited about the role, we encourage you to apply. You might be exactly who we're looking for!
What's in this for you: 
<ul>
<li>Great benefits from day one. We offer medical, dental, vision, FSA, company-paid life insurance, and more—plus a 401(k) with company match.</li>
<li>Grow with us. Enjoy strong training, development, and competitive pay.</li>
<li>Work-life balance. Our flexible PTO policy lets you take time when you need it—no accrual required.</li>
</ul>
We welcome all.
We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances.

Data Scientist

<h3>Job Description</h3>
Job Description
Mission Summary
At Motional, data plays a critical role in fueling our ML-centered autonomous driving vehicle. Our robo-taxi fleet collects petabytes of data on the road every day – the Data Mining team is mining &amp; filtering the massive influx of fleet data by developing billion-scale data workflows and state-of-the-art mining algorithms. Through our Continuous Learning Framework we continuously improve the on-road performance of ML products for perception, prediction &amp; planning with every mile driven.
We mine for model errors, anomalies, rare objects &amp; long-tail driving scenarios across millions of driving hours – these are used for laser-focused ML model training and continuous edge case validation. We are looking for an engineer to spearhead new mining strategies &amp; workflows and help deliver high-quality data that improve our core ML products. 
Read more about Continuous Learning and Data Mining at Motional:
<ul>
<li>Continuous Learning Framework</li>
<li>Scenario Mining</li>
</ul>
What You'll Do:
<ul>
<li>Own large-scale mining workflows that surface rare objects, model errors &amp; long-tail events.</li>
<li>Build high-quality datasets to improve ML products through training &amp; edge case validation.</li>
<li>Contribute to data processing pipelines that fuel our in-house billion-scale image search engine.</li>
<li>Provide statistical depth on model performance &amp; generalization through rigorous error analysis across complex driving scenarios.</li>
</ul>
What We're Looking For:
<ul>
<li>BS in computer science or similar discipline.</li>
<li>5+ years of experience architecting and shipping high-performance &amp; large-scale distributed systems.</li>
<li>Experience with core AWS services (S3, RDS, EMR, EKS, OpenSearch etc.).</li>
<li>Experience with writing complex yet efficient SQL queries for data analysis purposes.</li>
<li>Experience with common DBMS (PostgreSQL, MySQL, MongoDB etc.).</li>
<li>Experience with data warehousing and parquet data manipulation (e.g. Athena, Redshift, BigQuery).</li>
<li>Experience with Spark, Beam, Kafka, Hadoop or other data processing tools.</li>
<li>Fluency in Python and experience on production-quality software development.</li>
<li>Solid software engineering principles (software design patterns, configuration management, source control, build processes, code reviews, testing methodologies, app containerization, continuous integration etc.).</li>
</ul>
Preferred, but not required:
<ul>
<li>MS/PhD in computer science, machine learning, statistics or computer vision.</li>
<li>Experience with at least one of the following ML techniques/models: Few-shot Learning, Metric Learning, Information Retrieval, Recommender Systems, Contrastive Learning, Semi-supervised Learning, Object Detection / Segmentation / Prediction.</li>
<li>Experience with data visualization tools (Redash, Looker, PowerBI, Tableau etc.).</li>
<li>Experience with PyTorch or other deep learning frameworks.</li>
<li>Experience with A/B testing methodologies and metrics tracking systems.</li>
<li>Experience with machine learning in the autonomous driving domain.</li>
<li>Familiarity with autonomous driving sensors (cameras, lidar, radar, localization sensors etc.). </li>
</ul>
This position can support remote work within the United States.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. 
Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Salary Range$155,300—$207,000 USD
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. 
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit <a href="http://www.Motional.com" target="_blank">www.Motional.com</a> and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Senior Software Engineer, Data & Machine Learning Infrastructure

<h3>Job Description</h3>
Job DescriptionWho we are Zus is a shared health data platform designed to accelerate healthcare data interoperability by providing easy-to-use patient data via API, embedded components, and direct EHR integrations. Founded in 2021 by Jonathan Bush, co-founder and former CEO of athenahealth, Zus partners with HIEs and other data networks to aggregate patient clinical history and then translates that history into user-friendly information at the point of care. Zus's mission is to catalyze healthcare's greatest inventors by maximizing the value of patient insights - so that they can build up, not around. We are seeking an engineer to join our Data Acquisition (DA) team. Engineers at Zus have the opportunity to collaborate with our founding product and engineering leaders to bring our vision to the nation’s healthcare entrepreneurs. This team is responsible for collecting health data from a broad range of internal and external sources and making that data useful for users of the Zus platform.&nbsp; The engineer joining this team will help build tools that interact with external health data networks to collect information about our patients and load it into the Zus data stores at high volume, as well as services used by customers and internal stakeholders to request that data.&nbsp; The ideal candidate will be excited to take on the challenge of unifying diverse health care data sources to bring a clear picture of patient needs to our customers in ways that the developers of said data sources never thought or cared about. You will work on data pipelines that operate on large scale data using a variety of AWS services (Step Functions, Lambda, DynamoDB, S3, etc).&nbsp; You will also work on RESTful services that are used both internally and externally.&nbsp; Go is our language of choice, although we also have some components written in NodeJS. The team is responsible for deploying, maintaining, and operating its pipelines and services. Our Zus engineering teams are all US-based, and we hire only in the US.&nbsp; In Data Acquisition, we work across a collection of US timezones and also collaborate with our development partners in Central European Time.&nbsp; Zus supports both remote work and hybrid work in the Boston area with an office near South Station, and our teams are a mix of both styles of work.&nbsp; We actively work to make sure all voices are heard and information is shared regardless of your work location. This role begins with a mentorship in Zus engineering best practices, processes and team culture.&nbsp; Folks joining Zus engineering in this role are required to plan on at least 3 months of 50% attendance in the Boston office to get up to speed.You are a good fit because you...
<ul>
<li>Are scrappy and you move fast</li>
<li>Have experience with operationally stable and cost efficient data pipelines</li>
<li>Enjoy owning your work and seeing it deploy safely in production</li>
<li>Have experience building backend software in any language (we use mostly Go with a bit of Node)</li>
<li>Have some experience with working with and deploying software to a cloud environment (ie, GCP, AWS, Azure)</li>
<li>Are excited to ~ finally! ~ enable a true digital revolution in healthcare</li>
<li>Thrive amid the changing landscape of a growing and evolving startup</li>
<li>Enjoy collaboration and solving unique problems</li>
<li>Are in the Boston metro and excited to collaborate in person on a hybrid schedule at least 50% of the time</li>
</ul>
It would be awesome if you were… (any of the following is a great bonus!)
<ul>
<li>Have some experience with at least one of the following: deployment technologies (Github actions, CodeDeploy, CircleCI),&nbsp; cloud providers (AWS, Azure, GCP)), or Infrastructure as Code (Terraform, CloudFormation, Chef)</li>
<li>Experienced in building services and APIs used by third-party developers</li>
<li>Have supported customers operationally via escalations and/or incidents in a production environment.&nbsp;&nbsp;</li>
<li>Knowledgeable about application security</li>
<li>Experienced in working with healthcare data and APIs</li>
<li>Familiar with the FHIR and/or TEFCA standards</li>
</ul>
We will offer you… • Competitive compensation that reflects the value you bring to the team a combination of cash and equity• Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO• Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it) Please Note: Research shows that candidates from underrepresented backgrounds often don’t apply unless they meet 100% of the job criteria. While we have worked to consolidate the minimum qualifications for each role, we aren’t looking for someone who checks each box on a page; we’re looking for active learners and people who care about disrupting the current healthcare system with their unique experiences. We do not conduct interviews by text nor will we send you a job offer unless you've interviewed with multiple people, including the Director of People &amp; Talent, over video interviews. Job scams do exist so please be careful with your personal information. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Software Engineer, Data Acquisition Team

<h3>Job Description</h3>
Job Description
Senior Causal AI Scientist, Research and Development 
Company Overview
Aitia is the leader in the development and application of Causal AI and Digital Twins to discover the next generation of breakthrough drugs in neurodegenerative disorders, oncology, and immunology. By leveraging the convergence of multi-omic patient data, high-performance computing, and causal learning and AI, Aitia is revealing the hidden biological mechanisms of disease to create Digital Twins. Gemini Digital Twins are being used today to discover novel therapies and accelerate R&amp;D in Alzheimer’s Disease, Parkinson’s Disease, Huntington’s&nbsp;Disease, multiple myeloma, prostate cancer, and pancreatic cancer, with several more in development. 
Position Summary
The Senior Scientist will join a dynamic Research and Development team to develop and continue scaling Aitia’s powerful Causal AI and simulation platform and apply the platform to develop Gemini Digital Twins for the discovery of novel causal human drug targets and biomarkers and the simulation of drug candidates and clinical trials.&nbsp; The candidate will work closely with the Engineering Team on implementation of AI algorithms and with the Precision Medicine Team to develop Gemini Digital Twins. &nbsp;&nbsp;The candidate will develop and implement AI tools for automating priors, for integrating multi-omic data into Aitia’s Digital Twins and for AI to automate extraction of features and novel biology.&nbsp; 
They will communicate scientific findings to partners and collaborators and contribute to presentations at scientific conferences and publications.
Principal Duties and Responsibilities:
<ul>
<li>Drive the effort to automate the building of Gemini Digital Twins by incorporating deep learning AI and LLMs into data and prior knowledge pipelines </li>
<li>Drive the effort to automate through deep learning AI and LLMs the extraction of novel biology from the Gemini Digital Twins</li>
<li>Contribute to cross-team efforts to build&nbsp;in silico&nbsp;patient causal AI models and research into novel model applications for neurodegenerative disorders and oncology therapeutic discovery and development</li>
<li>Contribute to novel neurodegeneration and cancer genomics knowledge generation through deep data mining from public/proprietary multimodal datasets.</li>
<li>Communicate technical results clearly and concisely to collaborations, discuss how to incorporate information into their processes, and achieve high impact with biopharmaceutical partners</li>
</ul>
Job qualifications:
<ul>
<li>Advanced degree in quantitative science or Life Science</li>
<li>Experience working with advanced ML techniques, probability theory, Bayesian analysis, or causal inference methods preferred</li>
<li>Solid understanding of statistical analysis principles and expert user of the statistical data analysis tools, such as Python R/Bioconductor or Python.&nbsp;&nbsp;</li>
<li>Experience working with toolsets for automating AI and machine learning workflows. </li>
<li>Experience working with AI stacks such as Torch</li>
<li>Experience working with&nbsp;multi-omics data, single cell data, and high-throughput screening data&nbsp;</li>
<li>Must be a team player and willing to help and ask for help;&nbsp;excellent written and verbal communication skills;&nbsp;excellent interpersonal skills with a proven record of interacting with bench scientists effectively.</li>
</ul>
Company Culture
Our philosophy at Aitia is simple:&nbsp;we cannot transform drug discovery and development with anything less than an all-star team.&nbsp;We are seeking smart, driven people who are experts in their field, have a track record of success, and a passion for creating change.&nbsp;We believe that strong teams supercharge the performance of individuals, create a fun and dynamic workplace,&nbsp;and provide first-class&nbsp;results for our clients and the people they serve. We are passionate about our work and believe in the ability of our technology to change the world. Our core values of integrity, collaboration, value, diversity, and game-changing initiatives guide our behaviors with each other and our clients. Aitia offers competitive salaries, stock options, unlimited vacation, health, dental and vision insurance, life insurance, long-term disability, 401(k), parental leave, tuition reimbursement, professional development, subsidized parking/MBTA pass, tasty food, volunteering opportunities, social gatherings, and more.&nbsp;
Equal Employment Opportunity
Aitia provides equal employment opportunities to all employees and applicants for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity or expression, age, veteran status, disability, pregnancy or conditions related to pregnancy, or genetics. In addition to federal law requirements, Aitia complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
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Senior Causal AI Scientist, Research and Development

<h3>Job Description</h3>
Job Description
Senior Data Scientist
Onsite/ possible Hybrid 3 days onsite – Westborough, MA
 
Company Overview
LG Energy Solution Vertech, Inc. (LGES Vertech) is a full-service energy storage system supplier and integrator. Using our core strengths of expert service to our customers, unparalleled safety, and excellence in manufacturing, we bring standardized, fully integrated energy storage systems to a rapidly growing worldwide market. Our systems address our customers' needs to reduce capital equipment and installation costs while enhancing system-level performance and reliability using automated monitoring systems and analytics across the battery, power conditioning, and auxiliary systems. Our AEROS® energy operating system is the engine of innovation to provide advanced control functions, allowing our customers to maximize the value of their energy storage assets. Our service capabilities include advanced monitoring and analytics, scheduled maintenance, augmentation, and auxiliary system upgrades. The combination of excellence in battery technology and production, coupled with nearly two decades of energy storage integration, makes LGES Vertech a supplier and integrator in the power and energy markets.

LGES Vertech empowers and expects its team members to assume responsibility and make good decisions while maintaining a team environment that fosters collaboration and innovation. Our diverse and growing team enjoys competitive salaries, generous benefits, and flexible working hours. 

For more information about LGESVT, please visit <a href="http://www.lgensol-vt.com" target="_blank">www.lgensol-vt.com</a>. 
 
Position Overview LGES-Vertech is seeking a highly motivated Senior Data Scientist to join our AI &amp; Data Science team. This role will be the key driver in the research, design, and deployment of our Advanced Energy Optimization core engine for power market and its associated software solution, built for battery energy storage systems (BESS). You will act as a subject matter expert, applying advanced AI/ML, optimization, statistical techniques to maximize the commercial value of BESS assets.
 
This is a high-impact, hands-on role for a technically deep and creative problem-solver. You will directly influence how data science enhances the commercial value, availability, and performance of our BESS fleet by building and deploying an end-to-end intelligent trading system.
 
Key Responsibilities
<ul>
<li>Drive the end-to-end development of the energy optimization engine, integrating with trading algorithms, from initial R&amp;D and algorithm prototyping to production deployment.</li>
<li>Utilize a deep understanding of operations research and optimization principles to create algorithms that determine the most profitable optimization strategies for BESS assets, considering physical constraints and market rules.</li>
<li>Design, build, and deploy predictive models for forecasting energy market fundamentals and risk assessment, critical for the optimal BESS trading strategies.</li>
<li>Work closely with cross-functional teams, including product, energy market analysts, engineering, and DevOps, to define requirements, integrate models into production pipelines, and deliver scalable, cloud-integrated data products. </li>
<li>Stay abreast of cutting-edge AI/ML and optimization research, applying new techniques like reinforcement learning and deep learning to enhance energy trading model performance.</li>
<li>Lead the transition of AI/ML models from research to production, ensuring robust, scalable, and efficient software development practices, including modular code, query optimization, and documentation.</li>
<li>Leverage expertise in handling large-scale, noisy time-series data to analyze market trends, evaluate model performance, and derive actionable insights.</li>
<li>Serve as a technical resource and mentor for junior team members, contributing to the strategic technical roadmap for the AI/Data Science team.</li>
</ul>
 
Job Requirements
Required Qualifications:
<ul>
<li>Master’s degree in Computer Science, Data Science, Electrical Engineering, Operations Research, or a related quantitative discipline.</li>
<li>6+ years of experience in data science or applied ML, with at least 3 years industry experience.</li>
<li>Strong Python development skills, including production-grade software practices and modular codebases.</li>
<li>Deep understanding of machine learning (supervised and unsupervised), deep learning, and statistical modeling.</li>
<li>Expertise in time series modeling, forecasting, and anomaly detection.</li>
<li>Hands-on experience working with large-scale, imperfect datasets and tools such as Polars, Pandas, NumPy, scikit-learn, SQL.</li>
<li>Experience with deep learning frameworks like TensorFlow, PyTorch.</li>
<li>Familiarity with cloud platforms: AWS, Azure, GCP, Databricks, or Snowflake.</li>
<li>Comfortable in Linux environments and with version control systems like Git.</li>
<li>Proficiency in using Jira for Agile project management.</li>
<li>Excellent written and verbal communication skills and ability to collaborate across diverse global teams.</li>
<li>Must be legally authorized to work in the U.S. without employer sponsorship.</li>
</ul>
 
Preferred:
<ul>
<li>Ph.D. in Computer Science, Data Science, Electrical Engineering, Operations Research, or a related quantitative discipline.</li>
<li>Familiarity with BESS topology and energy storage systems.</li>
<li>Experience with forecasting and optimization in wholesale electricity markets.</li>
<li>Familiarity with MLOps tools for model deployment, monitoring, and lifecycle management.</li>
<li>Familiarity with CI/CD pipelines and integrating ML models into DevOps workflows.</li>
<li>Ability to mentor junior team members and contribute to technical roadmap discussions.</li>
</ul>

Senior Data Scientist

<h3>Job Description</h3>
Job Description
Our client is seeking a seasoned Staff Software Engineer to design and deliver high-performance software for a variety of semiconductor products. 
In this role, you will solve complex technical challenges, and collaborate across teams within the company from concept, development, test through release. 
You will work with customers to interpret and develop software solutions for their needs. You will drive the project from conception, thru development, test, delivery and implementation. You will be part of an innovation team, solving technical challenges, process improvement and provide unique solutions. Requirements
Ideal candidates have 5+ years of experience, strong C++/C#/.NET skills, solid OS and algorithm knowledge, and a background in hardware/software systems, preferably in the semiconductor industry. 
Requires a BS/MS CE EE or other Technical Degree. 
 Our client offers an excellent benefit package including some relocation assistance. 
 This position is hybrid, which includes being onsite and is not eligible for sponsorship. 
 BenefitsFull benefit package.

C++/C# Software Engineer

<h3>Job Description</h3>
Job Description
Overview
Circet USA is the leading provider of Network Services in North America, and we're looking for talented professionals to join our team. We specialize in engineering and construction services delivering comprehensive solutions across Inside Plant, Outside Plant, and Wireless networks to meet the evolving infrastructure needs of our customers.
With nearly 50 years of industry experience, we work with major telecom service providers, MSOs, cloud service providers, and utilities. At Circet USA, you'll have the opportunity to make an impact by helping to create customized solutions that address our clients' unique challenges. If you’re passionate about innovation and thrive in a dynamic environment, we’d love to hear from you.

Circet USA’s benefits package includes the following:
<ul>
<li>Medical, Dental, and Vision insurance</li>
<li>Digital Health &amp; Wellness Support</li>
<li>Critical Illness, Accident, &amp; Hospital Insurance</li>
<li>Short-term &amp; Long-term disability </li>
<li>Group term &amp; Voluntary life insurance</li>
<li>Flexible Spending and Health Savings Accounts </li>
<li>Paid Time Off &amp; 401K</li>
<li>Company Discount Website</li>
</ul>
 
Responsibilities
A Drive Test Technician is responsible for executing mobile and stationary RF testing to validate wireless network performance. This role supports engineering teams by collecting field data to optimize coverage, capacity, and quality of service across 5G technologies. This position requires 100% travel.

This position will support the Northeast region which consists of the following states:
<ul>
<li>MN, VT, NE, MA, RI, CT, NY, NJ, PA, DE, MD, DC, VA</li>
</ul>

ESSENTIAL DUTIES &amp; RESPONSIBILITIES include the following. Other duties may be assigned:
 
<ul>
<li>Drive Testing: Operate drive test equipment (e.g., TEMS Pocket, X-CAL, QXDM) in vehicles or on foot to collect RF data across designated routes and clusters.</li>
<li>Perform a Speed Test</li>
<li>Data Collection &amp; Upload: Capture logs for RSRP, SINR, PCI, throughput, and scanner data. Upload results to centralized servers for post-processing and validation. </li>
<li>Properly follow the test files naming conventions.</li>
<li>Reporting: Communicate with Circet and client point of contacts throughout the process and to escalate issues as necessary.</li>
</ul>
 
Qualifications
<ul>
<li>
<ul>
<li>High school diploma or equivalent required; technical certifications preferred.</li>
<li>Familiarity with wireless technologies: LTE, VoLTE, CDMA, 5G, MIMO, Carrier Aggregation strongly preferred.</li>
<li>1–3 years of experience in RF testing or field technician roles desired.</li>
<li>Experience with DAS, small cells, or CRAN installations is beneficial.</li>
<li>Must have good computer skills.</li>
<li>Must have a valid U.S. driver’s license and clean driving record. </li>
<li>Willingness to travel and work flexible hours, including weekends.</li>
<li>Willingness and ability to work overtime</li>
</ul>
</li>
</ul>
Circet USA is an Equal Opportunity Employer - Veteran/Disabled. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. 

Pay Range in the United States: $20/hr - $26/hr based upon geography, skills, and experience. May also be eligible for performance incentive opportunity based on company and individual goals and performance.

Drive Test Technician - Northeast Region

<h3>Job Description</h3>
Job Description
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry is seeking a Senior Data Scientist to our sourcing team. The ideal candidate will have a passion for using machine learning tools and techniques to construct, optimize, and evaluate predictive models that predict the likelihood of different business outcomes. Additionally, this person will use their knowledge of probability and statistics to make defensible statistical inferences from data. 
Responsibilities:
<ul>
<li>Use data science and machine learning principles to develop effective predictive models</li>
<li>Write software to prepare, clean, and sample data for use in developing predictive models</li>
<li>Use cloud resources (e.g., Amazon Web Services) to prepare and process data</li>
<li>Query and extract data from databases (Snowflake)</li>
<li>Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy</li>
<li>Relentlessly iterate solutions within a fast-paced environment where ambiguity is the norm</li>
<li>Solve challenging, uncharted problems</li>
<li>Work in an environment that thrives on teamwork and continuous learning opportunities</li>
</ul>
Qualifications:
<ul>
<li>Bachelor's degree required; degree in applied math, computer science, natural sciences or engineering preferred</li>
<li>M.S. or Ph.D. in a related field highly desired</li>
<li>5+ years of experience with machine learning, statistical modeling, and optimization techniques</li>
<li>Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred)</li>
<li>Proficient in linear algebra and statistics</li>
<li>Familiar with scientific software principals, e.g. versioning systems, reproducibility</li>
<li>Experience in the manufacturing industry is desired</li>
<li>Must be a US Citizen or Green Card holder (ITAR)</li>
</ul>
The estimated base salary range for new hires into this role is $140,000-$182,000 annually (+ commission OR + annual bonus) depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.
#LI-Hybrid
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

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