271 Data Scientists jobs in Boston

Title:

Big Data Systems Engineer (Remote)

Belong, Connect, Grow, with KBR!

KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country's most critical role - protecting our national security.

KBR is seeking a Big Data Systems Engineer to join our team. The successful candidate will be part of the KBR team supporting the Test Resource Management Center's (TRMC) Big Data (BD) and Knowledge Management (KM) Team deploying BD and KM systems for DoD testing Ranges and various acquisition programs.

Responsibilities:

• The Big Data Systems Engineer will work on the deployment and integration of a highly visible data analytic project called Cloud Hybrid Edge-to-Enterprise Evaluation Test & Analysis Suite (CHEETAS) at multiple DoD ranges and labs.

• As a Big Data Systems Engineer, you will be a critical part of our technical team responsible for deploying CHEETAS within customer environments. You will be the frontline interface that customers will have when first experiencing CHEETAS within their DoD Range and lab environments.

• This position will require you to work closely with system administrators and software developers to communicate, document and ultimately resolve deployment issues as they arise.

• You will deploy CHEETAS within disparate DoD testing Ranges and acquisition programs environments (on different non-standard hardware stacks and integrated into different existing ecosystems) sometimes located within DoD vaults with no outside internet connectivity.

• Work on the deployment and integration of a highly visible data analytic project called Cloud Hybrid Edge-to-Enterprise Evaluation Test & Analysis Suite (CHEETAS) at multiple DoD ranges and labs

• Deploy CHEETAS within customer environments

• Work closely with system administrators and software developers to communicate, document and ultimately resolve deployment issues as they arise

• Deploy CHEETAS within disparate DoD testing Ranges and acquisition programs environments (on different non-standard hardware stacks and integrated into different existing ecosystems) sometimes located within DoD vaults with no outside internet connectivity

Work Environment:

• Location: Remote - The candidate can either work in one of KBR's facilities or work from home, with a stable internet connection.

• Travel Requirements: This position is anticipated to require travel of 25% with surges possible up to 50% to support end users located at various DoD Ranges and Labs across the US (including Alaska and Hawaii).

• Working Hours: Standard

Basic Qualifications/Knowledge:

• Must have an active TS/SCI Security Clearance to be considered for this position.

• This position requires a bachelor's degree in a STEM Computer Science, Data Science, Statistics or related, technical field, and 10 years of DoD experience. Entry level Big Data Engineers will NOT be considered due to the breadth of knowledge necessary to be successful in the position.

• Previous experience must include three (3) years of hands-on experience in the integration with and configuration of: SQL Server Big Data Cluster, CentOS, Ubuntu, RedHat, Windows Server, VMWare, etc.)

• Previous experience must include five (5) years of hands-on experience in big data environments.

• Must be adept at deploying and configuring Big Data and Knowledge Management tools in an enterprise environment.

• Must have extensive technical expertise in the configuration and troubleshooting of big data ecosystems.

• Must have excellent written and verbal communication skills and be comfortable assisting customers with installation and configuration of their big data infrastructure.

• Must have strong troubleshooting skills and the ability to become a CHEETAS deployment subject matter expert.

• Must be comfortable working with a wide range of stakeholders and functional teams at various levels of experience.

• Excellent interpersonal skills, oral and written communication skills, and strong personal motivation are necessary to succeed within this position.

• Experience with installation, configuration, integration with and usage of the following tools and technologies: NFS, SMB, S3, SQL Server, Windows Server, Windows 10/11, Linux (CentOS, Ubuntu, RedHat).

• Must be prepared to learn new business processes or CHEETAS application nuances every Agile sprint release (roughly every 6 weeks) prior to deploying to customer sites.

• Ability to problem solve, debug, and troubleshoot while under pressure and time constraints is required.

• Ability to communicate effectively about technical topics to both experts and non-experts at both the management and technical level is required.

• Ability to work independently and provide appropriate recommendations for optimal design, analysis, and development.

• Excellent verbal communications skills are required, as the Integration Engineer will be in frequent contact with the project technical lead, be taking direction from various government leads, and will frequently be interacting with end users to gather requirements and implement solutions while away from other team members.

• Excellent testing, debugging and problem-solving skills are required to be successful in this position.

• Experience designing, building, integrating with and maintaining both new and existing big data systems and solutions.

• Ability to speak and present findings in front of large groups.

• Ability to document and repeat procedures.

• This position is anticipated to require travel of 25% with surges possible up to 50% to support end users located at various DoD Ranges and Labs across the United States.

Preferred Qualifications:

• Experience working in government/defense labs and their computing restrictions.

• Experience working with major DoD acquisition programs.

• Knowledge of the Test and Training Enabling Architecture (TENA), the Joint Mission Environment Testing Capability (JMETC) and distributed testing and training.

• Experience with working in distributed team environment.

• Ability to teach and mentor engineers with a variety of skill levels and backgrounds.

• Knowledge of DoD cybersecurity policies.

Basic Compensation:

$142,400 - $80,000 (For the Denver, CO Area only)

148,900 - 200,000 (For the Los Angeles, CA Area Only)

148,900 - 200,00 (For the Washington, DC Area Only)

The offered rate will be based on the selected candidate's working location, knowledge, skills, abilities and/or experience, clearance level, contract affordability and in consideration of internal parity.

Additional Compensation:

KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels, per internal policy or contractual designation. Additional compensation may be in the form of a sign on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance.

Ready to Make a Difference? If you're excited about making a significant impact in the field of space defense and working on projects that matter, we encourage you to apply and join our team at KBR. Let's shape the future together. Come join the ITEA award winning TRMC BDKM team and be a part of the team responsible for revolutionizing how data analysis is performed across the entire Department of Defense!

Belong, Connect and Grow at KBRAt KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together.

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

Title: IBM Data Stage (Big Data Edition)

Location: Marlborough, MA

Duration: Full Time

Salary: $Market

Requirements

Key skills required for the job are:

IBM Data Stage Big Data Edition-L3 (Mandatory)
Data Stage Admin-L3
IBM Info sphere CDC-L3
As a Lead Administrator, you should be able to act as a Single point of contact for the technical tower in front of the customer management. Ensure proper communication and quick resolution as a crisis manager. Responsible for Vendor Management and people management. Drives day to day operations and work plan allocation/management. Conduct periodic reviews with teams. Weekly and monthly status reports to higher management. Participate in business meetings with various stake holders. Take corrective actions based on the customer satisfaction surveys. Drive service improvement programs. Ensure adherence to quality / security standards defined for the engagement Perform Trend analysis, identify top few incidents and work with respective teams/individual to minimize the incidents. Effort estimation/reviews on need basis for new projects.

Minimum work experience:5 - 8 Years

Benefits

Note: If interested please send your updated resume to and include your rate requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us.

We deliver our customers peace of mind every day by helping them protect what they value most. Our passion for placing the customer at the center of everything we do is driving a transformational shift at the firm. Operating as a tech startup within a Fortune 100 company, we are leading a digital disruption that will redefine how people experience the insurance industry.
#LI-DB1

Job Summary:

Responsible for the implementation of technology by developing clear, comprehensive and integrated system, technical and/or product recommendations which support the customer's business plans and long term strategy. Reviews and provides input to architectural designs to ensure consistency, maintainability and flexibility. Analyzes highly complex system and technical issues to implement features and enhancements in an iterative way that align with strategic technical direction. Plans and leads execution of architecture migrations. Leads product delivery releases of strategic impact. Provides leadership in reviewing the velocity of the team, presenting continuous improvement opportunities for improved product/team performance.

Job responsibilities:

• Acts as the lead solution engineer or technical lead responsible for the implementation of approved technologies that align with technical architecture, customer's business plans and long term strategy.
• Makes recommendations to improve process efficiency and effectiveness.
• Consults on major architectural designs to ensure consistency, security, maintainability and flexibility with respect to overall system, technical and product architectures within a domain or portfolio.
• Participates during incident management events and provides consultative recommendations on viable resolutions.
• Contributes toward forecasts of business and IT trends to define the technical direction within a portfolio, project or Market.
• Guides the development of system, technical and product standards based on business plan and vision. In coordination with Architecture, researches and makes innovative recommendations around new technologies.
• Responsible for prototyping complex, cross platform business solutions to validate newer technologies.
• Participates in the evaluation and selection of hardware and software product standards.
• Plans and manages execution of architecture migrations.
• Maintains collaborative and strategic partnerships between customers, vendors, business partners, and IT.
• Delivers artifacts, technical alternative documents and architectural designs that meet business and product features.
• Oversees design reviews and frameworks.
• Contributes to decisions that impact profitability and operational effectiveness.
• Mentors staff to develop software systems development capabilities.
• Facilitates cross-team/train learnings, communication and alignment.
• Performs related duties as assigned or requested.

• Bachelor's or Master's degree in technical or business discipline or equivalent experience; technical Master's degree preferred.
• Minimum of 10 years related experience.
• In-depth knowledge of IT concepts, strategies and methodologies.
• In-depth knowledge of diverse and emerging technologies and new architectural concepts and principles.
• Knowledgeable in software engineering languages and tools; proficient in new and emerging technologies.
• In-depth understanding of layered solutions and designs; in-depth understanding of shared software concepts and product features, as well as security minded.
• In-depth knowledge of business operations, objectives and strategies; in-depth understanding of global business and technology trends and the financial services industry.
• Highly developed negotiation, consensus building & influencing skills, facilitation and the adaptability to respond to change quickly.
• Highly developed oral and written communication skills; strong presentation skills.
• Ability to effectively collaborate with all levels of the organization.

• Big data technologies - Hadoop, HDFS, Map Reduce, Sqoop, Flume, Oozie, Hive, Pig.
• Relational databases - SQL Server, Oracle, Teradata
• AWS (EC2, S3, Lambda, RDS/Dynamo, etc.
• Programming experience in at least 1 of the following: Java, Python, Scala, Spark
• Experience working in an agile environment (Scrum, Kanban, XP, etc.)

• Workplace Flexibility
• Wellness Perks
• Collaborative workspaces
• Sit/stand desks
• Career development, programs and classes
• Diversity & Inclusion programs
• Philanthropic giving and volunteer opportunities
• Commuter Benefits
• Adoption Assistance
• College Savings Plan
• Education reimbursement
• Annual Hackathon

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of experience in data science and machine learning, with a focus on developing and deploying models in production environments.
• Proven experience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras) and libraries (e.g., scikit-learn, pandas, numpy).
• Proficiency in Python or R programming.
• Strong understanding of statistical modeling, experimental design, and data mining techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Excellent problem-solving and critical-thinking skills.
• Strong communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
• Experience with data visualization tools is a plus.

• Develop, train, and deploy machine learning models for various business applications.
• Conduct exploratory data analysis to identify trends and patterns.
• Clean, preprocess, and transform large datasets for modeling.
• Evaluate and optimize model performance using appropriate metrics.
• Collaborate with software engineers to integrate ML models into production environments.
• Communicate findings and recommendations to stakeholders through visualizations and reports.
• Stay current with state-of-the-art machine learning techniques and technologies.
• Mentor junior data scientists and contribute to team knowledge sharing.
• Identify opportunities for leveraging data science and ML to drive business value.
• Design and implement A/B tests and experiments to validate model effectiveness.

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of experience in data science, with a focus on machine learning.
• Proficiency in Python or R, including relevant data science libraries (e.g., scikit-learn, pandas, NumPy).
• Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Strong understanding of statistical modeling and machine learning algorithms.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and data visualization skills.
• Ability to work independently and as part of a collaborative team.
• Experience with cloud platforms (AWS, Azure, GCP) for ML is beneficial.

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Oak Street Health, part of the CVS Health umbrella, is a rapidly growing company of primary care centers for adults on Medicare in medically-underserved communities where there is little to no quality healthcare. Oak Street's care is based on an entirely new model that is based on value for its patients, not on volume of services. The company is accountable for its patients' health, spending more than twice as long with its patients and taking on the risks and costs of their care. For more information, visit .

Role Description

CVS Health is looking for a machine learning engineer to support our extensive production modeling efforts. Oak Street Health has built world-class risk stratification tools to empower optimal clinical outcomes and you will have the opportunity to contribute to its continued growth through writing production-quality code. You will design, develop, test and expand Oak Street Health's internal tools that enable our Data Science teams to build, deploy and monitor models more effectively and efficiently. You will leverage both your programming and problem-solving skills to improve our model building and hosting pipelines.

Responsibilities

• Design, develop, and implement machine learning pipelines in collaboration with Data Science teams.

• Maintain and enhance best practices through code development and testing, ML model validation, and automation of tests and deployments.

• Collaborate with Data Science, Product, Engineering, and Business partners to deploy effective and efficient state-of-the-art machine learning models that address OSH operational needs.

• Support the full MLOps lifecycle, including external data integration, data validation, model scaling, and prediction monitoring.

• Leverage or build cloud-based architectures, technologies, and/or platforms to deliver ML models at scale.

• Utilize continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.

• Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and ML practices adhere to Responsible and Explainable AI guidelines.

• Independently pursue and implement solutions to complex problems.

What we're looking for

We're looking for motivated, entrepreneurial individuals with:

• Basic Qualifications

• 1+ years of experience building, scaling, and optimizing machine learning systems.

• 1+ years of experience programming with one or more modern languages, such as Python, C++, Java, etc.

• 1+ years of experience with common ML libraries (i.e. Scikit-learn, XGBoost, NumPy, Keras, PyTorch, etc.) and ML algorithms (i.e. clustering, decision trees, boosting, etc.)

• A degree in Computer Science, Mathematics, Statistics, or another quantitative discipline OR 3+ years of direct experience.

• Strong background in the foundations of machine learning and model serving.

• Proficiency with Python and ML frameworks such as Scikit-learn, PyTorch, Dask, Spark, or TensorFlow.

• Track record of building ETL or ML model-serving pipelines.

• Ability to scale a data scientist's code into production-ready packages integrated into core OSH services.

• Strong communication and interpersonal skills with the ability to deliver complex topics to all familiarity levels.

• US work authorization.

• Growth mindset and willingness to learn.

• Someone who embodies being "Oaky".

• Preferred Qualifications

• Experience working with clinical or medical data.

• 1+ years of experience developing analytical pipelines against Cloud Data Warehouses such as BigQuery, Snowflake or Redshift using Python, SQL or PySpark.

• Experience packaging Python code into distributable & deployable packages.

• Experience with at least one major cloud platform (Azure, GCP, AWS)

• Experience with Databricks.

• Hands-on experience with NLP or generative-AI techniques

What does being "Oaky" look like?

• Radiating positive energy

• Assuming good intentions

• Creating an unmatched patient experience

• Driving clinical excellence

• Taking ownership and delivering results

• Being scrappy

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$64,890.00 - $173,040.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan .

• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit

We anticipate the application window for this opening will close on: 09/12/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

Job Description Job Description Salary: Oxipital AI is on a mission to revolutionize the manufacturing industry with its cutting-edge AI-enabled machine vision solutions. These solutions drive greater resilience, operational efficiency, and sustainability in the most complex and critical manufacturing processes. As a fast-growing company striving to make a difference every day, we are seeking a Machine Learning Engineerto help build and maintain our cutting-edge machine learning pipeline and the critical tools and infrastructure that support it. This role entails a particular focus on deep neural network architectures, model training, and inference-time optimization. You will work on a variety of customer-focused projects throughout the product development life cycle, from initial proofs of concept through robust production-ready implementations. Youll work in a small group of machine learning scientists collaborating with the core side software group, and others in our cross-functional team. The ideal candidate will have 2-4 years of professional experience designing and implementing high-performance software products in a fast-paced production environment. We are looking for hands-on work experience in several of the following areas: vision-based deep learning, neural network architecture design, edge deployment, traditional computer vision, 3D graphics and simulation, robotics, MLOps, and full-stack development. Primary Responsibilities: Expand the capabilities of our machine learning model architectures with new capabilities and performance-improving features. Optimize the efficiency of our machine learning models at training and inference time. Design, develop, and maintain tools and infrastructure for training, deploying, and evaluating vision-based machine learning models. Research cutting-edge machine learning techniques in the literature and propose methods to integrate them into our stack. Contribute to a robust and scalable product pipeline. Requirements: Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, or related technical field; graduate degree preferred. 2 years of professional software development experience. Experience with deep neural networks for computer vision applications. Strong proficiency in Python, particularly with libraries like PyTorch, NumPy, or OpenCV. Experience with software development and deployment in a Linux environment. The ability to design, prototype, and evaluate new features in our machine learning models. Experience with researching, implementing, and improving upon cutting-edge machine learning technology from academia. A solid foundation of software development best practices such as issue tracking, static code checking, and automated testing preferred. Experience with full-stack software development preferred. Experience with cloud infrastructure, CI/CD pipelines, and frameworks like AWS EC2 preferred. Strong mathematical and analytical skills. Excellent written and verbal communication skills. Ability to work both independently and collaboratively on a cross-functional team. Strong attention to detail.

Oxipital AI is on a mission to revolutionize the manufacturing industry with its cutting-edge AI-enabled machine vision solutions. These solutions drive greater resilience, operational efficiency, and sustainability in the most complex and critical manufacturing processes. As a fast-growing company striving to make a difference every day, we are seeking a Machine Learning Engineer to help build and maintain our cutting-edge machine learning pipeline and the critical tools and infrastructure that support it. This role entails a particular focus on deep neural network architectures, model training, and inference-time optimization. You will work on a variety of customer-focused projects throughout the product development life cycle, from initial proofs of concept through robust production-ready implementations. You'll work in a small group of machine learning scientists collaborating with the core side software group, and others in our cross-functional team.

The ideal candidate will have 2-4 years of professional experience designing and implementing high-performance software products in a fast-paced production environment. We are looking for hands-on work experience in several of the following areas: vision-based deep learning, neural network architecture design, edge deployment, traditional computer vision, 3D graphics and simulation, robotics, MLOps, and full-stack development.

Primary Responsibilities:

• Expand the capabilities of our machine learning model architectures with new capabilities and performance-improving features.
• Optimize the efficiency of our machine learning models at training and inference time.
• Design, develop, and maintain tools and infrastructure for training, deploying, and evaluating vision-based machine learning models.
• Research cutting-edge machine learning techniques in the literature and propose methods to integrate them into our stack.
• Contribute to a robust and scalable product pipeline.

• Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, or related technical field; graduate degree preferred.
• 2 years of professional software development experience.
• Experience with deep neural networks for computer vision applications.
• Strong proficiency in Python, particularly with libraries like PyTorch, NumPy, or OpenCV.
• Experience with software development and deployment in a Linux environment.
• The ability to design, prototype, and evaluate new features in our machine learning models.
• Experience with researching, implementing, and improving upon cutting-edge machine learning technology from academia.
• A solid foundation of software development best practices such as issue tracking, static code checking, and automated testing preferred.
• Experience with full-stack software development preferred.
• Experience with cloud infrastructure, CI/CD pipelines, and frameworks like AWS EC2 preferred.
• Strong mathematical and analytical skills.
• Excellent written and verbal communication skills.
• Ability to work both independently and collaboratively on a cross-functional team.
• Strong attention to detail.

• AI Agent Development
  • Design and build intelligent agent systems for data integration, literature mining, and scientific reasoning
  • Create automated workflows that connect diverse biological resources and support discovery decisions
  • Develop scalable AI solutions that enhance research productivity and scientific insights
• Machine Learning & Data Science
  • Apply statistical methods to evaluate and prepare complex biological datasets (single-cell or bulk RNA-seq, phenotypic data, etc.) for ML applications
  • Build, train, and optimize models for high-dimensional biological data
• Scientific Collaboration
  • Partner with biology, chemistry, and technology teams to translate research questions into ML solutions
  • Communicate technical concepts clearly to diverse scientific audiences
  • Contribute to roadmap planning and strategic technical decisions

• PhD in Computer Science, Computational Biology, or related field, OR Master's degree with 3+ years of relevant industry experience
• Strong programming skills in Python with experience in ML frameworks
• Experience with high-dimensional biological data analysis (bulk/single-cell RNA-seq, etc.)
• Proven track record in deep learning model development and deployment
• Strong mathematical foundation in statistics and machine learning
• Excellent communication skills and ability to work in interdisciplinary teams

• Experience with large language models (LLMs)
• Experience with MLOps tools and practices
• Experience designing and implementing multi-agent systems and reasoning frameworks

• Push Boundaries: We create a legacy with breakthrough science in service of patients.
• Inject Energy: We build strengths from different perspectives and tell it like it is
• Own it: We transcend our job descriptions and relentlessly follow through on our commitments.
• Go all out: We work quickly and with conviction.