Data engineer jobs in Melrose, MA

Role: Join AI Studio in Boston as a core engineer transforming how AI powers construction management. Partnering with Product Managers, Site AI Engineers, and Data Engineers, you'll solve pain points, redesign workflows, and deploy AI agents that cut down reporting, accelerate RFIs, simplify lookahead planning, progress updates, materials tracking, and more. You'll focus on building secure, scalable, and high-performance AI agents using modern technologies, including AWS Bedrock and Databricks - shaping the backbone of clients' “Construction Site of the Future.” The AI Engineer (AI Studio) builds the foundation that enables jobsite AI to scale. You'll focus on technical excellence, platform reliability, and scalable agent frameworks, enabling field teams to transform how construction projects are executed. Responsibilities: AI Product Engineering & Deployment: Translate product requirements and user stories into production-grade AI solutions using AWS Bedrock, Lambda, ECS/EKS, and Databricks. Implement RAG pipelines with Delta tables, Unity Catalog, and Vector Search. Design and deploy multi-model agents that dynamically select between LLMs (Claude, GPT, Llama, Titan, etc.) based on task context, cost, and latency. Implement multi-agent orchestration frameworks enabling collaboration among specialized agents (e.g., data retriever, planner, summarizer, and action executor) for complex construction workflows. Own full lifecycle delivery - design, development, testing, deployment, monitoring, and maintenance. Full-Stack & Backend Development: Build APIs, backend services, and agentic workflows using Python, FastAPI, LangChain, and AWS SDKs. Create reusable connectors and orchestration layers for multi-model agents (Claude, GPT, Llama, etc.). Develop front-end integrations for Teams and web SPAs via REST or GraphQL endpoints. Data Engineering & Integration: Partner with Data Engineering to design robust ETL/ELT pipelines from enterprise systems to the Databricks Lakehouse. Ensure efficient data access, caching, and vectorization for low-latency AI response. Build tools to monitor and improve data quality, latency, and observability. DevOps & Platform Automation: Use Terraform, AWS CDK, and GitHub Actions to automate infrastructure and deployments. Implement LLMOps: cost monitoring, latency optimization, usage analytics, and model versioning. Enforce security, governance, and access standards in line with enterprise policies. Collaboration & Communication: Work closely with product managers, site AI engineers, and data scientists to iterate rapidly in Agile sprints. Communicate technical progress clearly to non-technical stakeholders; contribute to internal AI playbooks and templates. Qualifications: 4-6 years of professional software development experience on AWS, with 2+ years focused on AI/ML engineering (LLMs, RAG, Bedrock, or similar). Strong coding proficiency in Python (LangChain, FastAPI, boto3) and solid experience with SQL, Databricks, and vector databases. Experience designing and deploying production systems using AWS Lambda, ECS/EKS, API Gateway, Step Functions, S3, CloudFront, and KMS. Strong foundation in CI/CD, IaC (Terraform/CDK), and GitHub Actions Experience training, retraining and performing transfer learning on ML models desirable. Bachelor's in Computer Science, Engineering, Physics, or a related field; Master's preferred. Prior hands-on work in construction or heavy process industries (manufacturing, oil & gas, chemicals) is a significant plus. Excellent collaboration and communication skills - able to work cross-functionally but not dependent on business-side facilitation. Integration & ETL skills: Foundational understanding of ETL/ELT design, Airflow or Databricks Workflows, and REST/GraphQL API development; proven collaboration with Data Engineering on source-to-lake and lake-to-agent pipelines.

Open Role: Onboarding Immediately for REAL is a modern platform focused on simplifying the leasing experience for tenants and landlords. Tenants can browse listings, take 3D tours, and complete the application process seamlessly on their phones. Landlords benefit from centralized management of the leasing cycle, from tours to rent collection, all in one platform. Role Description This is a full-time on-site Robotics Engineer role located in Danvers, MA. The Robotics Software Engineer will be responsible for tasks such as developing robotics systems, implementing process automation, and collaborating with the software development team to enhance technology solutions. Qualifications: Experience with Structure from Motion (SfM) and camera pose estimation Strong experience with 3D Gaussian Splatting and surface reconstruction Proficiency in Python and C++ Hands-on experience designing and implementing computer vision algorithms (segmentation, object detection, classification, tracking) Familiarity with deep learning models and their deployment Solid understanding of multi-view geometry Proficiency in OpenCV, and either PyTorch or TensorFlow Experience working with 3D point clouds, mesh generation, and libraries such as Open3D, Trimesh, or PCL Familiarity with 3D reconstruction pipelines (e.g., COLMAP, NerfStudio, Photogrammetry tools) Strong knowledge of coordinate frames, and camera calibration Preferred Qualifications: Master's degree in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related field Experience with ROS/ROS 2 concepts Familiarity with robot localization using SLAM and multi-sensor fusion Experience working with multi-modal sensors: GPS, LiDAR, stereo/depth cameras, IMUs Proficient in path planning algorithms (both global and local) Experience developing robotic software stacks for controls, motion planning, sensor integration, and simulation.

SES AI Corp. (NYSE: SES) is dedicated to accelerating the world's energy transition through groundbreaking material discovery and advanced battery management. We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and high-power-density Li-Metal and Li-ion batteries are unique; they are the first in the world to utilize electrolyte materials discovered by AI. This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage, robotics, and drones. To learn more about us, please visit: ********** What We Offer: * A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company. * The opportunity to contribute directly to a meaningful scientific project-accelerating the global energy transition-with a clear and broad public impact. * Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology. * Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering. * Access to state-of-the-art facilities and proprietary technologies are used to discover and deploy AI-enhanced battery solutions. What we Need: The SES AI Prometheus team is seeking an exceptional Data & Evaluation Applied AI Scientist to serve as the domain expert ensuring that SES AI's complex battery-domain knowledge is correctly represented and validated within advanced AI systems, including LLM pipelines and multi-agent workflows. This role is vital for bridging the gap between raw battery materials knowledge and structured, AI-trainable data. As the Data & Model Quality Manager, you will focus on the integrity, structure, and fidelity of the knowledge embedded within our AI systems. Essential Duties and Responsibilities: * Data Curation & Validation * Translate deep Battery Materials Knowledge and next-generation battery concepts into correctly structured, high-quality, AI-trainable data. * Lead processes for rigorous data validation, cleaning, and annotation to ensure consistency and correctness across all datasets. * Oversee the creation and management of benchmark datasets and design domain-specific multimodal evaluations to test model accuracy. * AI System Quality & Correctness * Partner closely with AI architecture and engineering teams to ensure the correctness, reliability, and scientific reasoning quality of models, including LLM creation and multi-agent orchestration. * Implement techniques, including those inspired by reinforcement learning (RLHF), to tune and validate model behavior against established scientific principles. * Ensure that resulting models accurately understand molecular chemistry, materials data, and complex scientific reasoning in the battery domain. * Strategy & Collaboration * Drive the application of Battery Informatics principles across all data pipelines and modeling effots. Education and/or Experience: * Education: Ph.D. in Chemical Engineering with a focus on Lithium battery systems, Materials Science, or a closely related computational/domain field. * Domain Expertise: Deep expertise in battery materials, particularly knowledge required to convert complex, real-world data into AI-trainable formats. * Data Quality & Validation: Proven experience in data validation, annotation, and benchmark creation for complex scientific or engineering datasets. * AI Exposure: Experience working with advanced AI systems, including familiarity with LLM pipelines and the principles of multi-agent orchestration. * Applicable Background: Experience in roles such as Applied Scientist in Molecular/Materials AI or similar specialist roles focused on AI system quality in a scientific domain. Preferred Qualifications: * Advanced AI Techniques: Experience with specialized techniques used for model tuning and alignment, such as Reinforcement Learning from Human Feedback (RLHF). * Industry Precedent: Previous experience in specialized environments like battery focus labs, materials data science groups, or AI4Science teams with a focus on agent pipeline building and model tuning (e.g., drawing from precedents like DeepMind or Fair Labs). * Evaluation Design: Direct experience designing and executing domain-specific multimodal evaluations for complex AI models. * Computational Focus: Experience as a Computational battery AI specialist.

Work Your Magic with us! Start your next chapter and join EMD Serono. Ready to explore, break barriers, and discover more? We know you've got big plans - so do we! Our colleagues across the globe love innovating with science and technology to enrich people's lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us. United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe. This role does not offer sponsorship for work authorization. External applicants must be eligible to work in the US. Your Role: At EMD Serono, data drives everything we do to bring innovative medicines to patients faster. As a Lead Data Scientist, you will shape commercial and medical strategies by analyzing complex datasets and applying advanced analytics and machine learning to generate actionable insights that optimize decisions, uncover opportunities, and improve patient outcomes. Key Responsibilities * Collaborate Across Teams: Partner with Commercial, Medical, and IT teams to identify high-impact problems and deliver analytics solutions aligned with business goals. * Lead Advanced Analytics: Design, validate, and interpret supervised (regression, classification) and unsupervised models (clustering, dimensionality reduction) to drive decision-making and identify new opportunities. * Causal Inference Expertise: Apply causal inference to experimental and observational data to optimize strategy and resource allocation. * Scalable AI/ML Solutions: Build scalable AI/ML pipelines for large, high-dimensional datasets. * Mentorship and Leadership: Mentor junior data scientists and foster a culture of excellence. * Healthcare Expertise: Leverage deep knowledge of US healthcare and pharma commercial landscapes, including claims, EMR data, to deliver impactful solutions. * Communication and Influence: Translate complex analytical findings into clear, actionable business recommendations for diverse stakeholders. Who You Are Minimum Qualifications: * Master's degree in Statistics, Data Science, Mathematics, Physics, Econometrics, Operations Research, a related quantitative field, or equivalent work experience. * 4+ years of experience as a data scientist in a commercial setting (pharma preferred). * Strong expertise in supervised/unsupervised learning, causal inference, hypothesis testing, scalable ML pipelines, and feature engineering. * Proficiency in Python (pandas, scikit-learn), SQL, Git, Linux, AWS; experience with large healthcare datasets (claims data a plus) and parquet files. * Experience deploying Python-based machine learning models in production using containers and/or shell scripting. * Solid business acumen and ability to prioritize high-impact problems aligned with strategic objectives. * Strong communication skills with the ability to translate analytical findings into actionable recommendations. * Proven ability to collaborate effectively across Commercial, Medical, and IT teams. * Experienced in mentoring and guiding junior data scientists in advanced techniques and best practices. Preferred Qualifications: * 6 or more years of work experience as a data scientist in a commercial setting (pharma preferred) with a Master's degree, or * 4+ years with a PhD degree. * Prior experience with marketing mix models (especially in pharma). * US healthcare and pharma commercial expertise strongly preferred. * Demonstrated ability to leverage gen AI tools and techniques for extracting features from text in a commercial context. Location: On-site Seaport MA Pay range for this position: $126,800 - 191,700. The offer range represents the anticipated low and high end of the base pay compensation for this position. The actual compensation offered will be determined by factors such as location, level of experience, education, skills, and other job-related factors. Position may be eligible for sales or performance-based bonuses. Benefits offered by the Company include health insurance, paid time off (PTO), retirement contributions, and other perquisites. For more information click here. What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress! Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!

The Senior Data Engineer, Data Platforms is a pivotal role on our Data Team - with broad responsibility. You're not just managing data; you're pioneering the very platforms that underpin our data and analytics engineering pursuits across the company's extensive landscape. You will own state-of-the-art big data platforms that power the Global Partners data stack -- with your work standing as the backbone supporting all data-centric innovations.You are fluent with platforms like AWS, Snowflake, Dagster, and dbt at your fingertips, and deploying via tools such as Kubernetes, Docker, and Terraform being second nature, you are primed to spearhead our pursuit of data excellence. Your vast experience, extending from data storage best practices to continuously assessing and integrating new technologies, ensures that Global Partners stays ahead of the curve. You are a problem solver and an automation enthusiast who will be responsible for deploying robust solution for data engineering and data platform management.At the heart of it all, you're not just an engineer; you see the art in orchestrating data. As you engage with teams, provide strategic guidance, and champion the consistent adoption of best practices, you're also shaping the future of data analytics. If you're ignited by the prospect of being at the helm of technological evolution, where every decision melds strategy with data - Join us. Global Partners offers a collaborative team and an environment where we actively invest to create a culture of data driven excellence. At Global Partners, business starts with people. Since 1933, we've believed in taking care of our customers, our guests, our communities, and each other-and that belief continues to guide us. The Global Spirit is how we work to fuel that long term commitment to success. As a Fortune 500 company with 90+ years of experience, we're proud to fuel communities-responsibly and sustainably. We show up every day with grit, passion, and purpose-anticipating needs, building lasting relationships, and creating shared value. : * Architect and implement scalable, cloud-native data platforms that serve as the foundation for all data engineering initiatives across the organization, utilizing technologies such as AWS, GCP, or Azure, Python, Docker, Kubernetes * · Automate deployment (CI/CD) pipelines for data infrastructure and applications, leveraging tools like Jenkins, GitLab CI,GitHub Actions to ensure rapid, reliable deployments. * · Implement Infrastructure as Code (IaC) practices using tools such as Terraform or CloudFormation to manage and version control cloud resources. * · Develop and maintain robust data orchestration workflows using modern tools like Apache Airflow, Dagster, or Prefect, ensuring efficient data processing and transformation. * · Develop automated solutions and self-service platforms to enable efficient onboarding of developers to efficiently set up, configure, and monitor their data environments. * · Optimize data storage and processing systems, including data lakes and data warehouses (e.g., Snowflake, BigQuery, Redshift), to ensure cost-effectiveness and performance at scale. * · Implement observability and monitoring solutions for data pipelines and infrastructure using tools like Prometheus, Grafana, or DataDog to ensure system reliability and performance. * · Lead the adoption of DataOps practices, fostering collaboration between data engineering, data science, and operations teams to streamline the entire data lifecycle. Additional Job Description: * · Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience in Data Engineering, DataOps, MLOps, Software Engineering with a minimum of 5 years' experience or 7 years' experience, in lieu of an applicable degree. * · Strong proficiency in designing and implementing scalable, cloud-native (containerized) data platforms using Infrastructure as Code (e.g., Terraform, Docker, Kubernetes). * · Advanced programming skills in Python focusing on data-intensive applications. Strong SQL proficiency and experience with cloud data warehouses (e.g., Snowflake, BigQuery) required * · Proven track record in designing and implementing CI/CD pipelines for data infrastructure and applications, using tools like Jenkins, GitLab CI, or GitHub Actions * · In-depth knowledge of big data technologies (e.g., Apache Spark, Kafka) and data orchestration tools (e.g., Apache Airflow, Dagster). Experience with data transformation frameworks like dbt and ETL/ELT processes in cloud environments * · Strong background in data security, governance, and metadata management. Experience implementing IAM/RBAC policies, encryption, and data access controls in cloud environments. * · Proficiency in implementing monitoring, logging, and alerting solutions for data infrastructure (e.g., Prometheus, Grafana, ELK stack). Familiarity with serverless architectures is a plus. * · Ability to design and develop automated tools and self-service platforms enabling efficient data environment setup and management for data scientists and analyst. * · Experience in optimizing data storage and processing systems for cost-effectiveness and performance at scale. Familiarity with MLOps and integrating ML models into production. * · Exceptional team player with strong communication skills, ability to work with cross-functional teams, and a willingness to mentor and share knowledge. * · Proficiency in modern Agile development methodologies, coupled with excellent problem-solving abilities and a metrics-first mindset * Bachelor's Degree Pay Range: $136,200.00 - $204,200.00 The pay range for this position is outlined above. The final amount offered at the start of employment is determined based on factors including, but not limited to, experience level, knowledge, skills, abilities and geographic location, and the Company reserves the right to modify base salary at any time, including for reasons related to individual performance, Company or individual department/team performance and market factors. Our Commitments to You * Coins! We offer competitive salaries and opportunities for growth. We have an amazing Talent Development Team who create trainings for growth and job development. * Health & Wellness - Medical, Dental, Visions and Life Insurance. Along with additional wellness support. * The Road Ahead - We offer 401k and a match component! * Professional Development - We provide tuition reimbursement; this benefit is offered after 6 months of service. What to Expect From the Hiring Process (old GPS of the Interview Process) We value passion and potential. Please apply if you're qualified and interested-we'd love to hear from you. A member of our Talent Acquisition team will review your application and may connect you with the hiring manager if your experience is a strong match. Interviews are conducted virtually and in person, depending on the role. We'll provide more details about next steps if selected to move forward. Global Partners LP is an equal opportunity employer. We foster a company culture where ideas from all people help us grow, move and thrive. We embrace the diversity of all applicants and do not discriminate against race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other basis prohibited by federal, state or local law. If you have a disability and need an accommodation to apply, please contact our recruiting department at ************ or 781-7GP-WORK. * Disclaimer: At Global Partners, we don't use lie detector tests for any employment decisions. We follow all the rules and regulations, so we need to let you know: In Massachusetts, it's illegal to require or administer a lie detector test as a condition of employment of continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Locations: Boston | Chicago | Pittsburgh | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. Our Data Scientists are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. What You'll Bring We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: * Comfortable in a client-facing role with the ambition to lead teams * Likes to distill complex results or processes into simple, clear visualizations * Explain sophisticated data science concepts in an understandable manner * Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) * Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data * Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients * Have strong project management skills Please note: any degree programs (including part-time) must be completed before starting at BCG. TECHNOLOGIES: Programming Languages: Python Additional info You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites. FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. The first-year base compensation for this role is: Data Scientist I: $110,000 USD Data Scientist II: $145,000 USD Data Scientist III: $160,000 USD At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. * That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: * Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children * Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs * Dental coverage, including up to $5,000 in orthodontia benefits * Vision insurance with coverage for both glasses and contact lenses annually * Reimbursement for gym memberships and other fitness activities * Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan * Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement * Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) * Paid sick time on an as needed basis * Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Ready to help us transform healthcare? Bring your true colors to blue. About the Role The Financial and Evaluation Measurement team is seeking a Data Scientist with strong technical expertise and a background in a quantitative discipline. In this role, you'll work with large, complex healthcare datasets to project and evaluate the financial impact of policy changes, clinical programs, and third-party solutions. You'll design analytical models and compelling visualizations that inform key business decisions, helping shape strategies to lower costs and improve the quality of care for our members. This role is eligible for our Flex Persona. For candidates local to our Boston, MA and Hingham MA offices. Your Day to Day * Analyze large, complex datasets from a robust Enterprise Data Warehouse to identify drivers of healthcare cost trends, market pressures, and profitability. * Design and execute advanced statistical models and predictive analytics to inform financial projections and evaluate cost/benefit of business initiatives. * Create clear, compelling data visualizations and communicate actionable recommendations that reduce healthcare costs and improve member outcomes. * Lead cross-functional analytic projects from design through implementation, ensuring consistent representation of financial performance across the organization. * Partner closely with teams including Payment Integrity, Health and Medical Management, Provider Contracting, and others, to ensure alignment between analytics and business strategy. We're Looking For * Bachelor's degree in Mathematics, Statistics, Data Science, Economics, Healthcare Analytics, or related field required. Master's degree preferred. * 5+ years of professional experience in data science, healthcare analytics, or a related field. * Proficiency in SQL, Python and/or R for data extraction, manipulation, and modeling. * Experience with data visualization tools (e.g., Tableau, Power BI). * Familiarity with SAS is a plus but not required. * Strong analytical and problem-solving skills with attention to detail. * Excellent communication skills-able to distill complex analyses into clear, actionable insights for non-technical audiences. * Proven ability to manage multiple projects and meet deadlines in a fast-paced environment. * Collaborative mindset and adaptability to shifting business priorities. What You Bring * Passion for using data to improve healthcare quality and affordability. * A creative, solution-oriented approach to complex business problems. * Ability to influence decision-making through clear data-driven insights and strong stakeholder partnerships. * A team-first perspective with a proven record of driving projects to completion and measurable impact. What You'll Gain You will design and validate analytic frameworks, uncover emerging drivers of healthcare cost and utilization, and deliver insights that shape strategy in pricing, product development, financial planning, and forecasting. The Business & Account Analytics team executes innovative analytics to inform corporate strategy in critical areas including competitiveness, affordability, profitability, provider payment reform and health care policy. As an Analyst on the Business & Account Analytics team, you will work with a rich dataset and a robust well-established Enterprise Data Warehouse to identify emerging drivers of health care trend and cost, market pressures, and profitability. #LI-Hybrid Minimum Education Requirements: High school degree or equivalent required unless otherwise noted above Location Boston Time Type Full time Salary Range: $114,414.00 - $142,120.00 The job posting range is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, performance, shift, travel requirements, sales or revenue-based metrics, and business or organizational needs and affordability. This job is also eligible for variable pay. We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), and a suite of well-being benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. WHY Blue Cross Blue Shield of MA? We understand that the confidence gap and imposter syndrome can prevent amazing candidates coming our way, so please don't hesitate to apply. We'd love to hear from you. You might be just what we need for this role or possibly another one at Blue Cross Blue Shield of MA. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be brilliant. We encourage you to bring us your true colors, , your perspectives, and your experiences. It's in our differences that we will remain relentless in our pursuit to transform healthcare for ALL. As an employer, we are committed to investing in your development and providing the necessary resources to enable your success. Learn how we are dedicated to creating an inclusive and rewarding workplace that promotes excellence and provides opportunities for employees to forge their unique career path by visiting our Company Culture page. If this sounds like something you'd like to be a part of, we'd love to hear from you. You can also join our Talent Community to stay "in the know" on all things Blue. At Blue Cross Blue Shield of Massachusetts, we believe in wellness and that work/life balance is a key part of associate wellbeing. For more information on how we work and support that work/life balance visit our "How We Work" Page.

At Manulife, data scientists collaborate with engineers, IT, and experts to build analytical models and data architectures for solving business problems within a modern MLOps framework! The Data Scientist is accountable for delivering business value with data by focusing on key corporate objectives, including portfolio optimization, expense efficiency, growth acceleration, digital customer leadership, fraud detection, and high-performance of the team. The Data Scientist is responsible for crafting, building, and deploying business interpretable and performant analytics solutions and applications. Collaborates with data and ML engineers to build scalable self-service tools for the analytics team. The Data Scientist leverages and shares their deep knowledge of, and experience with, a wide variety of data analytics practices and methods. The Data Scientist helps others to improve their knowledge and understanding of the use of data and technology. Position Responsibilities: Bridging between data assets, technology, and business expertise * Collaborate shoulder-to-shoulder with business experts. * Understand the business, the associated processes, systems & data environment. * Research, explore, and experiment with data driven business ideas. * Research & leverage published material to gain a comprehensive understanding of data science practices and methods. Crafting and building business interpretable and performant analytics solutions * Develop and implement data analytics enabled solutions to improve and re-imagine business process, to generate insights, and support strategy development. * Work on problems of diverse scope and complexity requiring the in-depth analysis of data. * Quickly develop enough business insight to connect data sources across multiple diverse and complex systems. * Generate relevant, actionable insights based on iterative data analysis, translating data-driven output into business language, and making appropriate recommendations to business partners. * Work closely with business teams and data science engineers to collaboratively build and deliver rich data content for analysis. * Deploy rich data and analytics content in business applications. * Understand how the analysis of data impacts a broader business strategy, including the core drivers of business value. * Prepare cases on the benefits of the analytics work. Elevate data and analytics skills in the business * Help business partners better understand the use of data, drawing on a detailed understanding of data analytics and predictive modeling. * Identify and guide natural data champions to improve the profitable use of data. * Learn salient business concepts from data champions and enable them to creatively use data assets. Required Qualifications: * Masters or equivalent experience in a quantitative field (Computer Science, Mathematics, Physics, Machine Learning, AI, Statistics, or related field) * Knowledge and expertise with SQL with Oracle, MySQL, and Relational Databases * Skilled with Python or similar languages * 2+ years of experience working in data science in a consumer product company collaborating with Machine Learning Scientists, Data Scientists, Research Scientists, Applied Scientists, or similar roles. Can relax this requirement for PhD or equivalent experience. Preferred Qualifications: * Experience in a quantitative field (such as Computer Science, Mathematics, Physics, Machine Learning, Bioinformatics AI, Statistics, engineering, or equivalent) * Practical experience in several of the following areas: machine learning, NLP, statistics, experimental design, deep learning, recommendation systems * Knowledge and experience in network and graph based analytics techniques including graph databases * Functional knowledge of Azure Cloud Platform such as Azure ML and Data Factory * Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives * Outstanding verbal and written communication skills, ability to convey detailed mathematical concepts and considerations to non-experts * Passionate about working in a diverse group and contributing to an inclusive culture When you join our team: * We'll empower you to learn and grow the career you want. * We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words. * As part of our global team, we'll support you in shaping the future you want to see. #LI-Hybrid About Manulife and John Hancock Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit ************************************************* Manulife is an Equal Opportunity Employer At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact ************************. Referenced Salary Location Toronto, Ontario Working Arrangement Hybrid Salary range is expected to be between $90,920.00 CAD - $140,920.00 CAD. If you are applying for this role outside of the primary location, please contact ************************ for the salary range for your location. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact ************************ for more information about U.S.-specific paid time off provisions.

Site: Mass General Brigham Incorporated Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. Job Summary Summary Responsible for designing, developing, and maintaining the data architecture and infrastructure within an organization. This position plays a crucial role in managing large-scale data systems and ensuring the efficient flow, storage, and accessibility of data for various stakeholders, such as data analysts, data scientists, and business users. Essential Functions -Design, develop, and implement data pipelines and ETL/ELT code to support business requirements. -Work on cross-functional teams delivering enterprise solutions for internal and external clients. -Assume ownership for delivering code revisions and enhancements from design through development and production installation. -Maintain and optimize various components of the data pipeline architecture. -Become subject matter expert for internal and external data products Ensure design solutions can scale and meet technical standards and performance benchmarks. -Identify inefficient processes and develop recommendations and design solutions. -Lead code review sessions to validate technical solutions and facilitate knowledge sharing. Qualifications Education Bachelor's Degree Related Field of Study required Can this role accept experience in lieu of a degree? Yes Principal Responsibilities Works with cross-functional teams to understand functional product requirements and deliver on strategic data and analytics initiatives. Design, build, test and maintain architectures within the ‘Quality Data Hub' of our cloud-based enterprise data warehouse. Build ETL/ELT ingestions for OCMO related data and handle related monitoring and support duties. Accrues advanced knowledge of the OCMO product domains and can quickly apply development strategies to meet the stakeholder requirements for the data products. Define and implement the processes and tooling through which enterprise curated data models are built and maintained. Partners with solutions architects, analytics engineers, and data visualization developers to understand data extraction and transformation needs and builds a platform and related processes suited to them. Develop and enforce change management and versioning processes for code promotion. In collaboration with lead analytic staff, architect and enforce thorough quality assurance, testing and peer review procedures to ensure the accuracy, reliability, and validity of end products. Helps identify potential bottlenecks within the development lifecycle and propose high-level strategies to overcome them. Triage, troubleshoot and resolve data issues from end users and internal team members. Build and foster relationships with senior leadership/physicians and key program stakeholders to understand multifaceted business problems and develop analytical solutions to complex issues to satisfy reporting and analytical needs. Supports other team members with promotion to production, ensures a consistent process across the team; informs other data engineers and domain team leads of new changes to promotion process. Guide and train data engineers by familiarizing them with the data products they will use and providing them with relevant information about OCMO domains. Follows MGB Digital guidelines and standard practices to leverage existing tools and methods to efficiently develop modeling solutions, ensure that work is not duplicated, and is appropriately transitioned between teams. Uses the Mass General Brigham values to govern decisions, actions, and behaviors. These values guide how we get our work done: Patients, Affordability, Accountability & Service Commitment, Decisiveness, Innovation & Thoughtful Risk; and how we treat each other: Diversity & Inclusion, Integrity & Respect, Learning, Continuous Improvement & Personal Growth, Teamwork & Collaboration. Other duties and responsibilities as assigned. Knowledge, Skills and Abilities Prior experience working with healthcare data is strongly preferred. Prior experience working with dbt is strongly preferred. Ability to function effectively and independently in a fast-paced environment, organize and prioritize work independently, and meet tight deadlines. Ability to manage multiple projects simultaneously, set priorities, and collaborate with team members and others throughout the organization. Possess strong interpersonal skills to effectively communicate with cross functional teams including staff at all levels of the organization. Willing to contribute to and foster a team player culture where all are encouraged and willing to share information accurately. Able and motivated to mentor/train junior staff members. Knowledge of agile principles and experience working within an agile team is preferred. Practical problem-solving abilities, i.e. the ability to formulate hypotheses, test options and move forward in a fast-paced environment. Excellent interpersonal skills, including strong customer service orientation and the ability to translate complex technical concepts to non-technical audiences. Advanced SQL DML skills required, with comparable experience in writing data functions (e.g. TSQL procs, Snowflake UDFs, etc.). Experience Bachelor's or master's degree in computer science, informatics, statistics, or related field and an interest in healthcare and the use of technology to support clinical care. 5+ years' experience with data modelling, ETL/ELT development, or similar role working with complex SQL queries and data extraction/transformation. Experience with cloud data warehousing environments such as Microsoft Azure and Snowflake are a plus Experience with ETL/data modelling tools such as dbt, Informatica, and Ab Initio are a plus. Must possess a strong background in data warehousing projects. Must be able to identify, triage, and resolve or dispatch issues. Must possess strong data analysis skills and be able to perform data analysis using SQL, SAS, or similar query languages. Must possess strong oral and written communication skills. Must be capable of working independently with limited to no supervision. Must be willing to contribute to and foster a team player culture where all are encouraged and willing to share information accurately. Additional Job Details (if applicable) Working Model Requirements Hybrid with onsite work required in office, candidate must be flexible for weekly or monthly business needs M-F Eastern business hours required On remote workdays, employees must use a stable, secure, and compliant workstation in a quiet environment. Teams video is required and must be accessed using MGB-provided equipment. Remote Type Hybrid Work Location 399 Revolution Drive Scheduled Weekly Hours 40 Employee Type Regular Work Shift Day (United States of America) Pay Range $92,102.40 - $134,056.00/Annual Grade 7 At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package. EEO Statement: Mass General Brigham Incorporated is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at **************. Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership “looks like” by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

Thorogood is an independent, specialized, data and analytics consulting firm that works with some of the biggest and best-known companies around the world. We have offices in London, Philadelphia, Boston, Singapore, São Paulo, and Bangalore, and we work as a global unit to service blue chip customers drawing from the consumer goods, pharmaceutical, insurance, and banking sectors, among others. Together, we compete on the basis of our specialism, our people, our independence, high quality, and our experience delivering assuredly for customers over several decades. We help our customers leverage the latest technologies to make timely, data-driven business decisions. Our multi-skilled teams understand the critical interplay of data engineering, data science, and data visualization. We work across these areas to create business-focused, end-to-end technology solutions robust enough to meet enterprise needs. We recognize the importance of environmental sustainability, both in how we work and in the solutions we build for our clients. Our services span strategy, implementation, advanced analytics services, user empowerment, and support. Additional information about us, our people, what we do, and some of perspectives can be found on our website here. About the Position Overview Our consultants are expected to have a strong interest in business. Understanding our clients' organizations and industries is key to identifying areas of opportunity for us to help. Similarly, consultants must have excellent listening, writing, and presenting skills, alongside the aptitude and motivation to master multiple data-focused technologies in a fast-moving field. This combination of business, people, and technical skills is essential. Our Brazil and US entities are managed together as one Thorogood Americas in support of development of our business not only in the region, but around the world. We work with our colleagues in the US, UK, India, Singapore, and Brazil to provide effective solutions for our clients situated across the globe. The global nature of our work exposes our consultants to a variety of experiences across industries and cultures. The ability to work collaboratively and effectively as part of a distributed team is therefore imperative for the position. Our most successful consultants develop a well-rounded set of skills in each of these areas of business, people, and technology. You'll do so via a number of opportunities: Comprehensive training: During your first months at Thorogood, experienced consultants will introduce you to the technologies we work with, the industries we serve, and the ways in which we develop our business. Crucially, we will share how we live our values. When you've finished, we'll plan to have you working on a client project immediately. Building your core technology skills: We're the kind of people who learn best by doing. You'll be working on a team locked onto business value for the customer to develop fast, effective, and high-quality technical solutions. Working with top clients: Thorogood works with some of the biggest and best-known companies in the world. You'll be a part of client interactions, sometimes leading them, to make sure we're keeping our projects on track and delivering value to our customers. Developing relationships: We consider ourselves trusted advisors for our clients. We earn this trust through listening carefully, sharing the expertise we have acquired, and helping to progress the objectives within their organizations. Shaping future projects: We are always listening to customers to understand their objectives and needs and working with our consultants to share proposals on how we can help. Working as part of a supportive project team: You'll be working from our offices, with occasional travel to client sites. Your project teams will comprise consultants across many levels of experience, working together daily to support one another along the way. Becoming an expert, yourself: Our subject matter experts are not necessarily the most tenured people at Thorogood. In the rapidly changing world of data and analytics, we look to all levels of experience to gain expertise in new technologies and analytical techniques. In addition to project work, Thorogood consultants run our company. We expect you to contribute here, as well: Helping to grow our business: Interact with current and prospective clients, listen to their needs, and drive business development activities and discussions. Together, we'll consider the business objectives in conjunction with the technical possibilities in order to understand the opportunities for their organizations. Delivering educationally focused marketing events: Prepare and present informational events for contacts at prospective and current clients. Fostering vendor partnerships: Help maintain and further our relationships with key vendor partners in the space including Microsoft, Databricks, Amazon Web Services, Google Cloud and others, whose offerings we implement for customers. Developing our consultancy: Contribute to recruiting, training, and managing our people. Additional Benefits We individually select each of our consultants very carefully through our comprehensive interview and assessment process. We place a great deal of value on consultants' growth and wellbeing. In addition to a challenging and rewarding career path, Thorogood offers the following benefits: Very competitive salary and compensation program Company-sponsored health, dental, and vision coverage 401(k) program with employer match Generous vacation allowance with incremental increases over time based on consultant tenure Incentive programs Opportunities for national and international travel Focus on work-life balance Location and Timing This position is based at our Back Bay office in Boston, MA. Our consultants are currently working in a flexible, hybrid work model. However, a level of in-person attendance at our office is required. The expected start date for this position is approximately between January 2026 or July 2026, depending on candidate start date availability. About You Qualified candidates must have Strong interest in business, people, and technology Strong academic record in a related discipline, including engineering, computer science, mathematics, statistics, business, management, or another business and quantitative-focused field Bachelor's degree with graduation between December 2025 and June 2026 Candidates must demonstrate effectiveness in Working individually and as part of project teams Maintaining responsibility and accountability for quality and work delivery Client focus and relationship management Time management and priority setting Data awareness and business interest Learning new technologies This is an entry-level position; no prior full-time employment experience is required. Please do highlight if you have studied or worked with Cloud BI & Analytics technology platforms, e.g. Databricks, Snowflake, Amazon Web Services, Microsoft Azure, or Google Cloud Platform SQL, Python, R, Scala, Spark, or any other programming or statistical programming languages and frameworks Applied mathematics, statistics, probability, machine learning, artificial intelligence, large language models, and/or generative artificial intelligence Data science, data engineering, data analysis, or data visualization technologies Managed structured, semi-structured, and unstructured data storage, transformation, or analysis Integrating data solutions into web applications Please note: Thorogood will ensure that every employee is authorized to work in the United States. If you are offered employment with the Company, we shall require proof of your authorization to work within the United States. Thorogood does not sponsor applicants for work visas. Applicants must be currently authorized to work within the United States on a full-time basis

Job Details Waltham, MA - Waltham, MA New York - New York, NY; Penn - East Norriton, PA; Princeton, NJ - Princeton, NJ; SF - San Francisco, CA $100000.00 - $105000.00 SalaryDescription We're looking for a talented, committed, and energetic individual to join our Analytics team as a Client Engagement Consultant to support our growing Data Strategy & Analytics (DSA) function. The Consultant is an integral member of project teams where he/she will work side-by-side with other consultants, data scientists, and statisticians. Consultants will have exposure to a wide variety of strategic business issues, as well as the opportunity to gain in-depth knowledge of the life sciences industry, ranging from small biotech's to large pharma. Further, Consultants in DSA will gain exposure to many of the leading patient- level data sources in the industry as well as innovated technology and AI tools. In this position, the Consultant is expected to multi-task across multiple projects and project types concurrently while maintaining a high degree of quality and accuracy. Consultants develop their skills through extensive formal and informal training, as well as receiving mentorship that encourages them to stretch their analytical, leadership, teamwork, and communication skills. Essential Functions Understand our client's business needs and creatively think through methodological solutions to answer key business questions by leveraging secondary data Work closely with other consultants, data scientists, and statisticians to develop and interpret business rules for study analysis Conduct secondary research using publicly available sources and healthcare databases (i.e. EvaluatePharma, RedBook, Cortellis, etc.) to aid in quality checking and to ensure RWE outputs are contextually reasonable given the clinical and market context Interpret, analyze, and synthesize research, and present findings to project teams and clients that leverage data to “tell a story” Create presentations and other outputs in collaboration with project teams for client deliverables Develop and refine presentation skills for both internal and external presentations Mentor junior staff on project work Gain methodological expertise by aiding in proposal development, as needed Complete other tasks as assigned Qualifications Position Requirements Education: Minimum of a Bachelor's degree in business, engineering, economics or life sciences disciplines at a top tier university. Work experience: 2+ years of experience in consulting or other relevant areas within the life sciences industry. Other Skills: Desire and ability to work in a dynamic, fast-paced environment Self-motivated, willing to take initiative, and appropriately independent Enthusiasm for working collaboratively in a team-based environment Ability to work on multiple projects concurrently Demonstrated quantitative and analytical skills Strong problem solving and logical thinking skill Excellent communication (written and verbal) and interpersonal skills Proficiency in Excel and PowerPoint About Us With almost 30 years of expertise, a best-in-the-business team and unrivaled access to data and analytics, Trinity Life Sciences is a modern partner to companies in the life sciences industry. Trinity combines strategy, insights and analytics to help life science executives with clinical and commercial decision-making. Ultimately, we know that every decision our clients make impacts a life, and when we help our clients achieve their goals, the world benefits. To learn more about how Trinity is elevating the industry and driving evidence to action, visit TrinityLifeSciences.com Trinity's Commitment to Diversity, Equity & Inclusion Trinity Life Sciences is an Equal Opportunity Employer that prohibits discrimination and harassment of any kind. Trinity is committed to the principles of diversity, equity, and inclusion and to providing employees with a work environment that is free of discrimination and harassment. All employment decisions at Trinity are based on business needs, job requirements and individual qualifications, without regard to race, color, religion, disability, ethnicity, gender identity or expression, family, parental, or veteran status, and/or any other status based on identity or that is protected by the laws or regulations in the locations where we operate. Trinity will not tolerate any form of discrimination or harassment and encourages applicants of all ages and identities. For more information about Trinity's commitment to diversity, equity, and inclusion, you can visit our website.

Who We Are: Since 1906, New Balance has empowered people through sport and craftsmanship to create positive change in communities around the world. We innovate fearlessly, guided by our core values and driven by the belief that conventions were meant to be challenged. We foster a culture in which every associate feels welcomed and respected, where leaders and creatives are inspired to shape the world of tomorrow by taking bold action today. JOB MISSION: The MADE Operations Data Scientist will enable a more data-driven, digitally native culture across the MADE in USA team by applying advanced analytics, statistical modeling, and data science techniques to solve operational challenges. This role supports cross-functional operations-spanning product development, engineering, planning, purchasing, and logistics-by delivering actionable insights, leading metric development, and building predictive models and alerting systems. The ideal candidate combines technical excellence in data science and data engineering with a deep understanding of footwear and apparel manufacturing, and the ability to translate complex data into clear, impactful business decisions. MAJOR ACCOUNTABILITIES: Develop and maintain Power BI dashboards and reporting systems that surface key operational metrics and drive visibility across the MADE organization. Build and deploy analytical models to forecast performance, identify bottlenecks, and optimize processes across product development, manufacturing, planning, and logistics. Design and maintain semantic data models that enable scalable, self-service analytics and support advanced querying and analysis. Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and opportunities for operational improvement. Collaborate with cross-functional stakeholders to frame business problems as data science questions and deliver actionable insights. Implement alerting and monitoring systems that proactively flag deviations in performance or quality metrics. Partner with IT and data engineering teams to ensure robust data pipelines and infrastructure that support modeling and reporting needs. Validate and improve data quality across systems such as ERP, MES, PLM, and other operational platforms. REQUIREMENTS FOR SUCCESS: Minimum 2 years of experience in a data analytics or data science role within a brand that manufactures apparel and/or footwear. Proficiency in Python and open-source data science tools (e.g., Pandas, NumPy, Scikit-learn, Jupyter). Strong experience with Power BI, including DAX, data modeling, and dashboard design. Familiarity with manufacturing, supply chain, or product development data and systems. Experience designing semantic layers and integrating data from multiple sources (e.g., ERP, MES, PLM). Regular Associate Benefits Our products are only as good as the people we hire, so we make sure to hire the best and treat them accordingly. New Balance offers a comprehensive traditional benefits package including three options for medical insurance as well as dental, vision, life insurance and 401K. We also proudly offer a slate of more nontraditional perks - opportunities like online learning and development courses, tuition reimbursement, $100 monthly student loan support and various mentorship programs - that encourage our associates to grow personally as they develop professionally. You'll also enjoy a yearly $1,000 lifestyle reimbursement, 4 weeks of vacations, 12 holidays and generous parental leave, because work-life balance is more than just a buzzword - it's part of our culture. Temporary associates are provided three options for medical insurance as well as dental and vision insurance and an associate discount. Part time associates are provided 401k, short term disability, a yearly $300 lifestyle reimbursement and an associate discount. Flexible Work Schedule For decades we have fostered a unique culture founded on our values with a particular focus on in-person teamwork and collaboration. Our North American hybrid model encourages rich in-person experiences, showcasing our commitment to teamwork and connection, while maintaining flexibility for associates. New Balance Associates currently work in office three days per week (Tuesday, Wednesday, and Thursday). Our offices are fully open, and amenities are available across our North American office locations. To continue our focus on hybrid work we have introduced “Work from Anywhere” (WFA) for four weeks per calendar year. This model will help us enhance our culture while continuing to maintain elements of flexibility. Equal Opportunity Employer New Balance provides equal opportunities for all current and prospective associates to ensure that employment, training, compensation, transfer, promotion and other terms, conditions and privileges of employment are provided without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, handicap, genetic information and/or status as an Armed Forces service medal veteran, recently separated veteran, qualified disabled veteran or other protected veteran, or any other protected status.

Must Have Technical/Functional Skills * Hands-on experience with Alation or similar tools (e.g., Collibra, OvalEdge etc). * Strong understanding of metadata management, data lineage, and data quality principles. * Familiarity with cloud platforms (AWS, GCP, Azure) and modern data stacks. * Proficiency in Agile methodologies and tools (e.g., Jira, Confluence). Roles & Responsibilities We are seeking a strategic and technically adept Product Owner to lead initiatives involving the Alation Data Catalog. This role will be responsible for defining and executing the product vision, roadmap, and delivery of data catalog capabilities that enhance data discovery, governance, and literacy across the organization. Job Responsibilities: * Define and maintain the product roadmap for Alation-based data catalog initiatives. * Align catalog capabilities with enterprise data strategy and business goals. * Collaborate with data stewards, analysts, engineers, and business users to gather requirements and feedback. * Act as the primary liaison between business and technical teams. * Create and manage a prioritized product backlog. * Write clear user stories and acceptance criteria for catalog features and enhancements. * Drive adoption of metadata standards, data lineage, and stewardship practices using Alation. * Ensure catalog content is accurate, up-to-date, and aligned with governance policies. * Promote data literacy and catalog usage through training, documentation, and internal advocacy. * Define KPIs to measure catalog adoption and data quality improvements. * Work closely with data engineers and architects to integrate Alation with data sources (e.g., Snowflake, AWS, data pipelining using AWS Glue etc.). * Support automation of metadata ingestion and policy enforcement. * 6+ years of experience in data management, data governance, or product ownership. * Excellent communication and stakeholder management skills. * Identify cost effective opportunities for improvement and recommend solutions to meet customers and user requirements, where appropriate. * Engage with the Automation SME Lead, look for opportunities for team development in a manner consistent with company policy and procedures * Develop internal team processes to ensure the integrity and quality of the service provision is maintained. Where possible, look for and propose opportunities for improvement * Escalate and manage situations arising from customer issues to Manager. Preferred Qualifications: * Experience with SQL and data modeling. * Knowledge of data privacy regulations (e.g., GDPR, CCPA). * Added advantages with background in financial services, Asset Management, or regulated industries is a plus. Salary Range- $120,000-$135,000 a year #LI-SP3 #LI-VX1

The Department of Data Science at the Dana Farber Cancer Institute (DFCI) seeks candidates with a strong background in scientific programming. As part of the department's mission to collaborate with basic biologists and clinical researchers to better understand cancer and improve treatment, our department develops new statistical methods and data analysis pipelines. Substantial experience in two or more of: scientific computing; data technologies; user interfaces; containerization; or distributed computing will be required. Much of our work is based on R and related tools and technologies, and experience in package development and advanced computing in the R ecosystem will be essential. We want help extending and improving these, as well as organizing and managing our data, and training our students, postdoctoral faculty, and collaborators in best practices and new developments related to R. We are seeking a data scientist to help with these challenges. The successful candidate will have a unique opportunity to take a leadership role in an exceptional collaborative environment with experts in a wide range of areas, including clinical trials, cancer genetics, immunology, epigenetics, machine learning, Bayesian methods, and alignment algorithms. There is room for growth in this position as the career ladder includes leadership levels. We offer salaries that are competitive with the biotech industry. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. Responsibilities PRIMARY DUTIES AND RESPONSIBILITIES: * Meet and consult with scientists requiring data science support and design plans and solutions * Delivery of results for projects * Work as part of the broader team to identify longer-term solutions that will improve quality, * speed and efficacy of our current projects and programs * Evaluate and benchmark new libraries; prototype and pipeline development. * Deep data science skills, at the interface between computer science and statistics KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: * Excellent communication and effective problem-solving skills, track record in serving a variety of * Diverse customers and projects * Ability to work independently, prioritize, and manage people if needed, within an environment with ever changing priorities. * Natural language processing experience preferred * Shiny, Spyre, Flask, WebDev and prototyping experience preferred * JupyterHub, Sun Grid Engine, Google Cloud Platform, AWS experience preferred * Experienced in data science methodologies and techniques, e.g. hypothesis testing, classification, regression, clustering, feature allocation, deep learning, time-series analysis, network modeling, feature selection/engineering. * Significant scientific background with prior experience in clinical research Qualifications MINIMUM JOB QUALIFICATIONS: * PhD or equivalent experience with evidence of impact in data science applied to real life problems in a research setting ideally within a clinical research environment * 5 to 8 years of experience post PhD * Prior experience supervising at least 1 person preferred Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA) $133,700 - $138,000 At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff that offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. EEOC Poster

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Lead Data Science Engineer, Personalization, you will play a pivotal role in driving the strategic direction and technical execution of creating data-driven, predictive, and personalized customer experiences. You will lead initiatives and execute alongside a team of talented data scientists and engineers, leveraging your technical expertise and leadership skills to deliver impactful solutions. You'll work across the full stack of machine learning development, including model training, evaluation, deployment, and serving. What You'll Do * Lead initiatives related to Casino & Sportsbook Personalization and mentor a team of data scientists and engineers to achieve high-impact business goals. * Develop and implement advanced machine learning models and algorithms to solve complex business problems, leveraging techniques such as supervised learning, reinforcement learning, and generative AI. * Work with stakeholders to understand business and customer-facing problems and translate these into machine learning problems. * Collaborate with cross-functional teams to integrate data science solutions into production systems. * Drive the data strategy by identifying key data needs, ensuring data quality, and developing data infrastructure. * Communicate findings and recommendations to senior leadership to influence strategic decision-making. What You'll Bring * Master's degree or PhD in a relevant field such as Computer Science, Statistics, Mathematics, or Data Science is preferred. * At least 5 years of experience in machine learning and statistical modeling, with a proven track record of leading successful projects. * Proficiency in programming languages such as Python, and experience with data manipulation and visualization tools. * Experience with personalization algorithms and techniques, and a strong understanding of their application in content delivery. * Familiarity with user behavior analysis and its integration into content and product strategies. * Strong leadership skills with the ability to mentor and coach individual contributors. * Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders. Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 140,800.00 USD - 176,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Country: United States of America Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance: DoD Clearance: Secret At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. We are seeking a skilled Software Development Engineer II with a focus on developing complex systems in C/C++ and Java. The ideal candidate will have a passion for creating high-performance applications and will be involved in all stages of the software development lifecycle. You will work onsite in Tewksbury, Massachusetts as part of the Zumwalt Software Development Team. What You Will Do Design, develop, and maintain software applications using C/C++ and Java for complex systems and applications. Collaborate with cross-functional teams to define, design, and implement new features, ensuring system integration and scalability while utilizing new flows through the software factory. Troubleshoot, debug, and optimize existing code for performance and efficiency in complex environments. Write and maintain comprehensive documentation for software applications, including system architecture and design specifications. Design and develop tooling to deploy software to various lab and customer site environments. Develop automation pipelines to streamline the integration of upstream software releases and automate configuration management. Participate in code reviews and ensure adherence to coding standards and best practices. Stay current with industry trends and advancements in C/C++ and Java technologies, especially in relation to complex systems and continuous delivery. This position requires exclusive onsite presence. Qualifications You Must Have Typically requires a bachelor's in science, Technology, Engineering, or Mathematics (STEM) and a minimum of 2 years of prior relevant experience. Experience developing complex systems and applications using C/C++, Java or other object-oriented programming language. Experience in a Unix/Linux operating system. Active and transferrable U.S. government issued Secret security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Understanding of data structures, algorithms, and software design principles, particularly in high-concurrency and distributed systems. Experience in embedded systems, real-time systems, or large-scale applications. Experience with multithreading, memory management, and performance optimization in complex environments. Experience with Network Communication Protocols, Shell Scripting (tcsh, csh, bash), software development tools like Git/Clearcase, software debuggers, and using embedded RTOSs (e.g. VxWorks, Integrity). Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills. Proven experience in developing automation pipelines using industry tools such as Jenkins and Git. Experience in scripting languages such as Python or Bash Familiarity with software development methodologies (Agile, Scrum, etc.). What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligible - Relocation assistance available Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: ************************************************ LI-TR1 As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 66,000 USD - 130,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms

SES AI Corp. (NYSE: SES) is dedicated to accelerating the world's energy transition through groundbreaking material discovery and advanced battery management. We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and high-power-density Li-Metal and Li-ion batteries are unique; they are the first in the world to utilize electrolyte materials discovered by AI. This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage, robotics, and drones. To learn more about us, please visit: ********** What We Offer: A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company. The opportunity to contribute directly to a meaningful scientific project-accelerating the global energy transition-with a clear and broad public impact. Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology. Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering. Access to state-of-the-art facilities and proprietary technologies are used to discover and deploy AI-enhanced battery solutions. What we Need: The SES AI Prometheus team is seeking an exceptional Data & Evaluation Applied AI Scientist to serve as the domain expert ensuring that SES AI's complex battery-domain knowledge is correctly represented and validated within advanced AI systems, including LLM pipelines and multi-agent workflows. This role is vital for bridging the gap between raw battery materials knowledge and structured, AI-trainable data. As the Data & Model Quality Manager, you will focus on the integrity, structure, and fidelity of the knowledge embedded within our AI systems. Essential Duties and Responsibilities: Data Curation & Validation Translate deep Battery Materials Knowledge and next-generation battery concepts into correctly structured, high-quality, AI-trainable data. Lead processes for rigorous data validation, cleaning, and annotation to ensure consistency and correctness across all datasets. Oversee the creation and management of benchmark datasets and design domain-specific multimodal evaluations to test model accuracy. AI System Quality & Correctness Partner closely with AI architecture and engineering teams to ensure the correctness, reliability, and scientific reasoning quality of models, including LLM creation and multi-agent orchestration. Implement techniques, including those inspired by reinforcement learning (RLHF), to tune and validate model behavior against established scientific principles. Ensure that resulting models accurately understand molecular chemistry, materials data, and complex scientific reasoning in the battery domain. Strategy & Collaboration Drive the application of Battery Informatics principles across all data pipelines and modeling effots. Education and/or Experience: Education: Ph.D. in Chemical Engineering with a focus on Lithium battery systems, Materials Science, or a closely related computational/domain field. Domain Expertise: Deep expertise in battery materials, particularly knowledge required to convert complex, real-world data into AI-trainable formats. Data Quality & Validation: Proven experience in data validation, annotation, and benchmark creation for complex scientific or engineering datasets. AI Exposure: Experience working with advanced AI systems, including familiarity with LLM pipelines and the principles of multi-agent orchestration. Applicable Background: Experience in roles such as Applied Scientist in Molecular/Materials AI or similar specialist roles focused on AI system quality in a scientific domain. Preferred Qualifications: Advanced AI Techniques: Experience with specialized techniques used for model tuning and alignment, such as Reinforcement Learning from Human Feedback (RLHF). Industry Precedent: Previous experience in specialized environments like battery focus labs, materials data science groups, or AI4Science teams with a focus on agent pipeline building and model tuning (e.g., drawing from precedents like DeepMind or Fair Labs). Evaluation Design: Direct experience designing and executing domain-specific multimodal evaluations for complex AI models. Computational Focus: Experience as a Computational battery AI specialist.

The Department of Data Science at the Dana Farber Cancer Institute (DFCI) seeks candidates with a strong background in scientific programming. As part of the department's mission to collaborate with basic biologists and clinical researchers to better understand cancer and improve treatment, our department develops new statistical methods and data analysis pipelines. Substantial experience in two or more of: scientific computing; data technologies; user interfaces; containerization; or distributed computing will be required. Much of our work is based on R and related tools and technologies, and experience in package development and advanced computing in the R ecosystem will be essential. We want help extending and improving these, as well as organizing and managing our data, and training our students, postdoctoral faculty, and collaborators in best practices and new developments related to R. We are seeking a data scientist to help with these challenges. The successful candidate will have a unique opportunity to take a leadership role in an exceptional collaborative environment with experts in a wide range of areas, including clinical trials, cancer genetics, immunology, epigenetics, machine learning, Bayesian methods, and alignment algorithms. There is room for growth in this position as the career ladder includes leadership levels. We offer salaries that are competitive with the biotech industry. _Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases._ _We_ _strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals._ **PRIMARY DUTIES AND RESPONSIBILITIES:** + Meet and consult with scientists requiring data science support and design plans and solutions + Delivery of results for projects + Work as part of the broader team to identify longer-term solutions that will improve quality, + speed and efficacy of our current projects and programs + Evaluate and benchmark new libraries; prototype and pipeline development. + Deep data science skills, at the interface between computer science and statistics **KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:** + Excellent communication and effective problem-solving skills, track record in serving a variety of + Diverse customers and projects + Ability to work independently, prioritize, and manage people if needed, within an environment with ever changing priorities. + Natural language processing experience preferred + Shiny, Spyre, Flask, WebDev and prototyping experience preferred + JupyterHub, Sun Grid Engine, Google Cloud Platform, AWS experience preferred + Experienced in data science methodologies and techniques, e.g. hypothesis testing, classification, regression, clustering, feature allocation, deep learning, time-series analysis, network modeling, feature selection/engineering. + Significant scientific background with prior experience in clinical research **MINIMUM JOB QUALIFICATIONS:** + PhD or equivalent experience with evidence of impact in data science applied to real life problems in a research setting ideally within a clinical research environment + 5 to 8 years of experience post PhD + Prior experience supervising at least 1 person preferred **Pay Transparency Statement** The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA) $133,700 - $138,000 At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff that offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. **EEOC Poster**

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours About the Team The Fintech Data Science team builds intelligent systems that power DK's financial trust and risk decisioning ecosystem. Our mission is to deliver real-time, explainable, and automated risk decisions that protect our customers and safeguard the business from fraud and payment risk. You'll contribute to DK's first agentic AI system, built to help Risk Operations analysts act faster on alerts by summarizing behaviors, recommending next steps, and ultimately taking autonomous actions under human supervision. As an L10 Data Science Engineer, you'll help design and deliver scalable ML systems that turn cutting-edge research prototypes into robust, production-grade solutions used daily by our operations teams. What You'll Do Design, implement, and test AI agents that enable intelligent decisioning and automation. Build and maintain data pipelines and model services using Python and Databricks for both batch and real-time decisioning. Develop core components for data preprocessing, feature engineering, and model monitoring. Partner with senior engineers to design feedback loops that let systems continuously learn from analyst ratings and real-world outcomes. Write clean, well-documented, and testable Python code aligned with DK's engineering standards. Collaborate cross-functionally with Risk Operations, Product, and Engineering teams to understand workflows, improve usability, and ensure high system adoption. Enhance system reliability and performance by identifying bottlenecks, optimizing pipelines, and scaling key components. What You'll Bring Academic or internship experience in machine learning, data science, and/or software engineering. Strong proficiency in Python, with experience building ML and data pipelines. Proficiency in SQL and experience with complex data manipulation. Understanding of the model lifecycle, including validation, deployment, retraining, and monitoring. Familiarity with ML Ops tools such as MLflow, Airflow, or Databricks Workflows (a plus). Experience or exposure to Databricks, Spark, or other distributed data processing frameworks (a plus). Exposure to agentic or LLM-based systems (e.g., LangChain, OpenAI APIs, or vector databases); understanding of prompt design, evaluation, and safety mechanisms for LLMs is a plus. Eagerness to work in a fast-paced, experimental environment exploring next-generation agentic and generative AI applications. A growth mindset and strong ability to collaborate in a diverse, cross-functional team environment. Bachelor's degree in Computer Science, Data Science, Statistics, or a related field (Master's degree a plus). Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 104,000.00 USD - 130,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.