Senior data scientist jobs in Portland, ME

Ready to help us transform healthcare? Bring your true colors to blue. What We Need The senior data scientist will lead high value workstreams within Actuarial and Analytics Solutions (AAS) department and be intimately involved all phases of development, from ideation to design to build and deployment. This work includes a variety of modeling and analytics to support medical economics, payment integrity, and various other areas of finance. Additionally, they will be responsible for implementing advanced program measurements leveraging statistical analysis and developing/executing on predictive modeling use cases. Finally, they will provide mentorship to junior data scientists and analysts. Our ideal candidate is a subject matter expert in cutting edge data science techniques; experience with healthcare data, and especially claims, is a major plus. We are looking for someone to work closely with other Business Owners, Product Managers, Data Scientists, and Software Engineers to understand problems and co-own solutions. Candidates should have a track record of effectively collaborating with experts and non-experts alike. * This role is eligible for our FLEX persona. Your Day-to-Day * Lead the research, design, and implementation of data science solutions to support current/future business needs * Anticipate and provide strategies/solutions to complex data problems or trends * Evaluate and design new approaches and methodologies to solve business problems or improve efficiency * Utilize statistical techniques to execute on advanced measurements of messy/noisy data * Produce meaningful observations and recommendations through synthesizing data from internal and external sources * Drive the design, building, and launching of new data models and data pipelines * Manage the delivery of high impact dashboards and data visualizations * Maintain knowledge on current and emerging developments/trends; assesses the impact and collaborates with management to incorporate new trends and development in current and future solutions * Coordinate with other departmental leaders to ensure consistency and transparency in data trends, themes and findings, particularly across the areas of medical economics, trend measurement, pricing, financial planning and informatics. * Effectively communicate customized views of analysis and financial impacts to senior leadership * This document is not an exhaustive list of all responsibilities, skills, duties, requirements, or working conditions associated with the job. Employees may be required to perform other job-related duties. What You Bring: * Deep and broad understanding of health care delivery system and health plan operations, including knowledge of Medical Economics, Trend Management, Pricing, Forecasting, Provider Payment Methodologies, and industry benchmarks. * Experience with machine learning algorithms, statistical techniques, data interpretation methodologies, and deploying Predictive Models in a variety of applications * Proven ability to effectively communicate with all levels of the organization. * Comfort managing multiple competing priorities * Strong customer focus and ability to work effectively in matrix environment. * Creative problem solver - able to assess problems, develop creative solutions and see solutions to completion. * Ability to think strategically, ensure execution and influence others * Proven ability to produce value in high performance environment. * Familiarity of software for data analysis and modeling; specifically: Python, SQL, Tableau, statistical software (R, SAS etc) * Proficiency working with modern data & analytics technologies and solutions on cloud platform (Snowflake preferred) * Familiarity with working in an Agile Environment and partnering closely with IT Education/Relevant Experience: * Minimum of five years of health care experience in analysis, design, development and delivery of data solutions * Direct experience with claims data a major plus * BA/BS required; MS, MPH, PhD in relevant field considered in lieu of work experience. It is our mission at Blue Cross Blue Shield of Massachusetts to foster a culture that enables associates to do their best work while living happy and healthy lives. That's why we offer you a variety of ways to support your best physical, emotional, financial, and social well-being. For more information on our benefit offerings, visit ********************************************** Minimum Education Requirements: High school degree or equivalent required unless otherwise noted above Location Boston Time Type Full time Salary Range: $155,070.00 - $189,530.00 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.

NO AGENCIES - PLEASE!! The Senior Data Scientist is involved in conducting clinical studies, integrating, and interpreting massive datasets from both clinical/healthcare records as well as multi-omics data, and is instrumental in the analysis of scientific findings. The Senior Data Scientist candidate possesses an extensive background in data analysis, including the analysis of large datasets, coding skills using diverse toolsets, successful management experience in a dynamic team environment, and is highly goal-oriented. ESSENTIAL DUTIES AND RESPONSIBILITIES: Analysis of healthcare and high-throughput molecular/omic data (genomic, gene expression, lipidomic, metabolomic, proteomics data sets), and participation in assisting clinical data interpretation and generating content for clinical study reports Interaction with internal and external collaborators to understand, design, and develop analytical solutions for complex data packages including, but not limited to, quality assessment of data as well as utilization of several statistical packages to assess translational utility Design and development of data analysis protocols to support the company's drug discovery pipeline and facilitate precision medicine strategies for clinical development Interpretation and understanding of analytic results from a biology perspective, and presentation of scientific findings internally and externally to a diverse audience Research and implementation of innovative methods for data integration Preparation and submission of scientific manuscripts for review and publication as well as support intellectual property filings Other duties, as assigned. REQUIREMENTS: Requires a Ph.D. in Bioinformatics, Statistics, Applied Math, Computer Sciences, or related field with 7+ years of experience Proficiency in R/Bioconductor, Linux, and major “Big Data” technologies Experience in Scala, C, Python, and MySQL is a plus but not required Proven ability to successfully integrate, mentor, and communicate in a dynamic team environment toward defined goals and timelines Proven ability to independently find creative and practical solutions to complex problems Proven experience in applying Data Science methodologies to extract, process, and transform structured and unstructured datasets Proven ability to deliver outputs in a comprehensive format that highlights major trends, avoids misinterpretations, and values the conclusions Proven ability to demonstrate attention to detail and record-keeping Ability to efficiently work on multiple projects in parallel Excellent communication and interpersonal skills Must be able to work in a team-oriented environment

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 Senior 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. * Build 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. * 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. * 2+ 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. Preferred Qualifications: * 4 or more years of work experience as a data scientist in a commercial setting (pharma preferred) with a Master's degree, or * 1+ 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. * 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. Location: Seaport MA Pay range for this position: $111,100-166,700 Our ranges are derived from several sources, and largely reliant on relevant industry market data. Should we decide to make an offer, we will consider several factors, including but not limited to your location, skills, experience, career level, and other job-related factors. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; paid time off; and paid holidays; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses. 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 Scientist will play a pivotal role in providing programming, advanced statistical, and machine learning expertise to our Clinical Data Science team. This position is instrumental in supporting research initiatives focused on digital biomarkers and predictive model development within our innovative technology platform. The selected candidate will collaborate extensively with our dynamic team to fulfill analysis requirements as per our clients' needs. Responsibilities include leading data science projects related to digital biomarker discovery and patient behavior prediction. This encompasses exploratory data analysis, statistical analysis, development of inference models, creation of data visualizations, and ensuring data quality. Essential Functions/Responsibilities: - Develop and implement high-quality code for digital biomarker analysis and inference models as application programming interfaces. - Conduct exploratory data analysis, statistical testing, and develop inference models to measure and validate novel digital biomarkers related to disease and behavior. - Create machine learning and statistical models to predict patient behavior, utilizing complex, high-dimensional data. - Engage in the assessment and implementation of computational and predictive analytics strategies to tackle research questions. - Play a key role in defining the experimental design and research scope, including data requirements, methodology, analysis, and validation strategies. - Independently manage experimental plans, analyze results, and report findings to leadership. - Produce data visualizations for a variety of data types, including complex digital biomarker data and model performance metrics. - Establish data quality metrics and conduct thorough data quality assessments. - Work closely with the applications research team to translate digital biomarkers and models into practical product applications. - Design and oversee continuous validation processes for systems incorporating digital biomarkers and predictive models. - Mentor junior staff and supervise student interns. - Communicate results to a broad audience, including clinical professionals, technical experts, and non-specialists. - Oversee client project portfolios, ensuring clear and effective communication across multiple initiatives. - Contribute to scientific publications, author abstracts, and present findings at professional gatherings. Required Education & Training: - Masters degree, PhD, or equivalent in data science, machine learning, statistics, mathematics, informatics, or a related field. - At least 3 years of experience in complex data science, applied statistics, or machine learning projects. - Proficiency in Python for model development, including experience building Python libraries. - Familiarity with cloud computing environments such as Amazon Web Services (AWS) or Google Cloud Platform (GCP). - Skilled in developing and validating machine learning models with standard algorithms (e.g., random forest, logistic regression, support vector machines). - Experience with statistical analysis and machine learning libraries (e.g., ScikitLearn, R). - Knowledge of statistical analysis methods. - Proficiency in ETL processes and SQL for data transformation. - Excellent communication skills, capable of explaining technical concepts to non-technical audiences. - Experience in scientific and technical writing. - A strong passion for science, research, and innovation in a team-based setting. Preferred Qualifications: - Experience with deep learning libraries such as PyTorch or TensorFlow is highly desirable.

Sun Life U.S. is one of the largest providers of employee and government benefits, helping approximately 50 million Americans access the care and coverage they need. Through employers, industry partners and government programs, Sun Life U.S. offers a portfolio of benefits and services, including dental, vision, disability, absence management, life, supplemental health, medical stop-loss insurance, and healthcare navigation. We have more than 6,400 employees and associates in our partner dental practices and operate nationwide. Visit our website to discover how Sun Life is making life brighter for our customers, partners and communities. Job Description: Sun Life embraces a hybrid work model that balances in-office collaboration with the flexibility of virtual work. Internal candidates are not required to relocate near an office. The opportunity: The Senior Data Scientist provides advanced analytics support within the Business Analytics function that applies the power of data with machine learning to enhance risk-based decisions across the Health and Risk Solutions business. This team is expected to work closely with the other functional teams, in particular the Pricing, Underwriting, and Clinical teams. This position reports to the Director, Data Science within the Health and Risk Solutions business. Responsibilities include developing and monitoring predictive models to support our pricing, underwriting and clinical review processes, as well as supporting the implementation of these models. Additional responsibilities may include applying machine learning techniques to streamline and automate aspects of these processes and bring in industry standard best practice on developing and maintaining MLOPS. How you will contribute: Apply advanced data science techniques to solve business problems across a broad range of data analysis functions including predictive analysis, data modeling, visualization and data profiling. Apply expertise with data wrangling, feature engineering, model training and model evaluation. Ability to identify the right algorithms and statistical techniques for a specific project as well as the best features for a model. Align with best practices for data mining and modeling as set up by the team Partners with key subject matter experts across various functional teams within the Health & Risk Solution business to help develop predictive modeling and analytic solutions based on understanding of business needs and opportunities. Develop and maintain high-quality, robust predictive models using advanced analytic techniques Extract and analyze internal and external data sources to help answer key business problems related to risk assessment. What you will bring with you: Ability to work with a diverse range of people 4-5 years of experience in developing and implementing data science techniques BS/MS/PhD in a statistical, mathematical, or technical field (e.g., data science, computer science, actuarial science) Experience with actuarial/pricing, underwriting or related concepts utilized in the health insurance field preferred. Experience with pricing/underwriting advanced analytics application within property & casualty insurance sector is welcomed. Business knowledge of insurance sector preferred. Strong communication skills, with an ability to explain technical concepts to a non-technical audience. Attention to details and accuracy and clarity in communicating results and insights Proactive ownership of problem solving with team members and subject matter experts Experience with a broad range of statistical programming languages, applications and data environments (e.g., R, Python, SQL, Tableau) Strong knowledge of data science including conditioning, modeling, integration and visualization Strong knowledge of the fundamental statistical and AI underpinnings of data science Commitment to data compliance, model governance and security protocols Strong business acumen to understand why and how the work we do will impact our business stakeholders Salary: $97,400-$146,100 At our company, we are committed to pay transparency and equity. The salary range for this role is competitive nationwide, and we strive to ensure that compensation is fair and equitable. Your actual base salary will be determined based on your unique skills, qualifications, experience, education, and geographic location. In addition to your base salary, this position is eligible for a discretionary annual incentive award based on your individual performance as well as the overall performance of the business. We are dedicated to creating a work environment where everyone is rewarded for their contributions. Not ready to apply yet but want to stay in touch? Join our talent community to stay connected until the time is right for you! We are committed to fostering an inclusive environment where all employees feel they belong, are supported and empowered to thrive. We are dedicated to building teams with varied experiences, backgrounds, perspectives and ideas that benefit our colleagues, clients, and the communities where we operate. We encourage applications from qualified individuals from all backgrounds. Life is brighter when you work at Sun Life At Sun Life, we prioritize your well-being with comprehensive benefits, including generous vacation and sick time, market-leading paid family, parental and adoption leave, medical coverage, company paid life and AD&D insurance, disability programs and a partially paid sabbatical program. Plan for your future with our 401(k) employer match, stock purchase options and an employer-funded retirement account. Enjoy a flexible, inclusive and collaborative work environment that supports career growth. We're proud to be recognized in our communities as a top employer. Proudly Great Place to Work Certified in Canada and the U.S., we've also been recognized as a "Top 10" employer by the Boston Globe's "Top Places to Work" for two years in a row. Visit our website to learn more about our benefits and recognition within our communities. We will make reasonable accommodations to the known physical or mental limitations of otherwise-qualified individuals with disabilities or special disabled veterans, unless the accommodation would impose an undue hardship on the operation of our business. Please email ************************* to request an accommodation. For applicants residing in California, please read our employee California Privacy Policy and Notice. We do not require or administer lie detector tests as a condition of employment or continued employment. Sun Life will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including applicable fair chance ordinances. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Category: Advanced Analytics Posting End Date: 11/01/2026

Please, review and apply for this position through the QCI system following the link below (Copy and Paste): http://bit.ly/1EE8v7z *You can apply through Indeed using mobile devices with this link. Job Description Our established consumer products company is looking for a Senior Data Scientist (Machine Learning & Classification)to add to their growing Research & Advanced Development team. You will work on feature concepts that arecustomer-facing. Responsibilities of the Senior Data Scientist (Machine Learning & Classification): Responsible for the algorithms that underlie the experiences created. Willingness to write code to explore problems and understanddata, and your ability to implement solutions from scratch. Implement and test initial versions of a handful of (already imagined) feature concepts. Demonstrate end-to-end proof of concept of at least one customer-facing feature. The ideal candidate will have experience with APIs, DSP, and Machine Learning Requirements for the Senior Data Scientist (Machine Learning & Classification): Deep expertise in the fundamentals and practical application of Machine Learning MS or Ph.D in computer science or related field Demonstrated ability to work effectively in a cross-functional team Strong coding ability (language and tool agnostic) but your algorithms must be able to run at scale. Experience creating customer-facing feature concepts. Additional Information All your information will be kept confidential according to EEO guidelines. Please, review and apply for this position through the QCI system following the link below (Copy and Paste): http://bit.ly/1EE8v7z *You can apply through Indeed using mobile devices with this link.

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.

National Capitol Contracting is seeking Data Scientists of Junior, Senior and SME level to support an upcoming contract with the Naval Sea Systems Command (NAVSEA) and the Shipboard Maintenance Performance Group (SMPG) and help bring cutting edge data analytics to the Navy Fleet Shipyards. Key Areas of Responsibility * Assist in the stand-up (both technical and functional) of the Data Analytics Lab located at NAVSEA Naval Shipyards, recommend software/hardware analytics and data management toolsets, and recommend functional responsibilities for the other SMDAL staff members. * Assist in the development of data procedures and policies, govern data assets, and improve the quality and access to data across the organization. * Analyze and streamline the processes and technology for using data to manage ship maintenance operations, and draw valuable insights from data through data science and business intelligence. * Assist in the implementation of industry best practices, selection of enabling tools and technologies, driving innovation, and contributing to new service offerings for our ship maintenance stakeholders. * Assist in the development of policies and procedures to ensure corporate data systems information protection, data governance, data quality, and data life cycle management. Government Security Clearance Requirement * Government security clearance requirements may vary amongst positions, however, a minimum of a Top Secret clearance with SCI eligibility and willingness to undergo a CI and/or FS polygraph is required. Minimum Requirements * Requirements may vary per job level and location, however, the candidate should possess the following at the time of application: * Bachelors degree in Computer Science, Data Science, Computational Science, or related field. * Experience building and leading data management and analytics projects and initiatives for Federal clients. * Ability to concisely and convincingly communicate (both verbally and written) with both technical and non-technical stakeholders. * Experience using data for descriptive, diagnostic, predictive, and prescriptive analytics. * Knowledge of big data technology infrastructure and environments. * Proficient in a broad range of data tools and technologies (e.g., Oracle, SQL, SAP IQ, etc.), visualization/analytics tools (e.g., Tableau, Qlik, MicroStrategy, SAP Business Objects, etc.), as well as machine languages (e.g., Python, R/RStudio, Java, C#, SQL, etc.) * Experience in developing machine learning models. * Results-driven, creative, and analytical. * Strong leadership and ability to work within cross-functional groups. Preferred Qualifications * Masters of Science Degree in Computer Science, Data Science, Computational Science or related field. Special Position Requirements Environment/Physical Demands: Office Setting, sitting for long periods of time, and utilizing computer/screens for long periods of time. This is a full-time position. NCC offers a competitive compensation packages: salary is commensurate with experience. Benefits include medical, dental, flexible spending, three weeks accrued Paid Time Off (PTO), paid federal holidays, and 401(k) with company match. NCC is an Equal Opportunity Employer (Minority/Female/Disabled/Veteran).

Who We Are FTI Consulting is the leading global expert firm for organizations facing crisis and transformation. We work with many of the world's top multinational corporations, law firms, banks and private equity firms on their most important issues to deliver impact that makes a difference. From resolving disputes, navigating crises, managing risk and optimizing performance, our teams respond rapidly to dynamic and complex situations. At FTI Consulting, you'll work side-by side with leaders who have shaped history, helping solve the biggest challenges making headlines today. From day one, you'll be an integral part of a focused team where you can make a real impact. You'll be surrounded by an open, collaborative culture that embraces diversity, recognition, professional development and, most importantly, you. Are you ready to make your impact? About The Role Data Scientists on FTI's AI Build Team should have a pragmatic approach to problem-solving and be capable of developing end-to-end solutions that clients can rely on in production. They should be capable of challenging their own work and finding a balance between perfection and practicality. As a Senior Consultant on FTI's AI Build Team, you will provide guidance, leadership, and mentorship to junior members of the team, while simultaneously contributing to workstreams on larger projects. You will showcase your expertise across a number of technical areas including programming, AI/ML and best practices. What You'll Do * Data Management * Develop and oversee comprehensive ETL processes * Ideate and maintain functional relational databases * Structure and perform quality control procedures for data ingestion, querying, and usages * Data Analysis * Perform exploratory data analysis and render key insights through evidenced results * Execute data quality assessments * Illustrate material understandings through coherent data visualizations * Manage concurrent investigations into required datasets * Execute and tune statistical analyses * Modeling * Conduct necessary research for proof-of-concept model selection * Identify viable model features and apply appropriate normalizations * Appropriately log model parameters and metrics for comparison * Diligently optimize current processes and pipelines * Perform quality control and debugging assistance for junior data scientists * Actively work on MLOps design and implementation * Bring completed models to production * Communication * Frequently partner with internal and external stakeholders * Lead meetings with internal and external non-technical stakeholders to deliver insights * Outline objectives and track progress of junior data scientists How You'll Grow This is an excellent opportunity for a person with proven analytical experience to join a growing, dynamic team, and work on a variety of projects in a wide range of industries. Senior Consultants will have opportunities to collaborate laterally and vertically, internally, and externally, as well as lead and design projects through developing various approaches to complex issues. What You Will Need to Succeed Basic Qualifications * Bachelor's degree in Math, Physics, Computer Science, Statistics, or related field of study * 3+ years of post-graduate professional experience or Master's degree in Math Physics, ComputScience, Statistics, or related field of study with 2+ years of post-graduate professional experience * Ability to travel to clients and FTI office(s) * Technical Platform Requirements * Experience in the following computing language: Python * Experience in any of the following query languages: T/SQL, PL/SQL, and PL/pg SQL * Experience in the following version control language: Git * Experience in any of the following database platforms: Postgres, Databricks, Apache Spark, MSSQL, and Oracle * Experience in any of the following AI/ML frameworks: Huggingface, Torch, Tensforflow, Scikit-Learn, and Spacy * Knowledge of MLOps related technologies for model lifecycle management * Knowledge of at least one development environment management framework: Docker, UV, Poetry * Technical Concept Requirements * Experience in any of the following AI/ML topics: Natural Language Processing (NLP), Forecasting, Clustering, Recommendation Engines, Network Analysis (Graph Theory), and Regressions * Experience in any of the following AI/ML concepts: Cross Validation, Ensemble Methods, Over/Under Fitting, Accuracy/Precision/Recall * Experience in any of the following computer science concepts: Object Oriented Programming, Hashing, Space Complexity, and Parallel Processing (Multiprocessing) * Non-Technical Requirements * Experience in managing and ideating a proof-of-concept while leading the proceeding phases; Development, Testing, Deployment, and Maintenance * Experience in mentoring junior resources Preferred Qualifications * Technical Platform Requirements * Experience in any of the following on-demand cloud computer platforms: AWS, GCP, and Azure * Experience in GenAI related tools for workflow orchestration such as: LlamaIndex, LangChain, MCP, RAG * Experience in any of the following additional platforms related to MLOps: MLFlow, GitLab CI * Exposure to serving models: FastAPI, Flask #LI-TL1 Total Wellbeing Our goal is to support the wellbeing of you and your families-physically, emotionally, and financially. We offer comprehensive benefits such as the following: * Competitive total compensation, including bonus earning potential * Full package of benefits plans, including medical, dental, and vision coverage along with life and disability insurance * Generous paid time off and holidays * Company matched 401(k) retirement savings plan * Potential for flexible work arrangements * Generous paid parental leave with available planning tools, virtual expert coaching services and flex return support. * Family care benefits, including back-up child/elder care * Employee wellness platform * Employee recognition programs * Paid time off for volunteering in your community * Corporate matching for charitable donations most important to you * Make an impact in our communities through company sponsored pro bono work * Professional development and certification programs * Free in-office snacks and drinks * Free smartphone and cellular plan (if applicable) * FTI Perks & Discounts at retailers and businesses * Upscale offices close to public transportation About FTI Consulting FTI Consulting, Inc. is the leading global expert firm for organizations facing crisis and transformation, with more than 7,900 employees located in 32 countries and territories. Our broad and diverse bench of award-winning experts advise their clients when they are facing their most significant opportunities and challenges. The Company generated $3.7 billion in revenues during fiscal year 2024. In certain jurisdictions, FTI Consulting's services are provided through distinct legal entities that are separately capitalized and independently managed. FTI Consulting is publicly traded on the New York Stock Exchange. For more information, visit ********************* and connect with us on Instagram and LinkedIn. FTI Consulting is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. Compensation Disclosure: Actual compensation is determined based on a wide array of relevant factors including market considerations, business needs, and an individual's location, skills, level of experience, and qualifications. Additional Information * Job Family/Level: Op Level 2 - Senior Consultant * Citizenship Status Accepted: Not Applicable * Exempt or Non-Exempt?: Exempt Compensation * Minimum Pay: 69000 * Maximum Pay: 166000

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.

About the Opportunity This is a full-time, one-year term appointment with the possibility of renewal. The Senior Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University's Experiential AI Institute, will lead the development and delivery of AI solutions across diverse industries. The role involves building end-to-end AI pipelines-from business problem scoping to deployment and monitoring of production-grade models-with a focus on both Generative AI and Deep Learning. The ideal candidate holds a Ph.D. in Deep Learning or Generative AI and brings a strong combination of academic and industry experience. They will possess deep, hands-on expertise in modern AI architectures including convolutional neural networks, transformers, and diffusion models. The role also requires significant experience in classical machine learning methods such as decision trees, gradient boosting machines, and both shallow and deep learning networks. A demonstrated ability to interface with clients to gather requirements, communicate insights, and lead solution design are essential. A successful candidate will also demonstrate mentoring experience and a strong track record of translating complex business needs into scalable AI solutions. Experience in the consulting industry is preferred. 2. Education & Experience Ph.D. (strongly preferred) or Master's degree in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field, with a focus on Deep Learning or Generative AI. Minimum of 5 years of industry experience in designing, developing, and deploying AI/ML solutions across sectors, including hands-on model building. Demonstrated academic and industrial contributions in Generative AI and Deep Learning, including practical deployment of models using modern architectures such as convolutional neural networks, transformers, and diffusion models. Proven experience building AI solutions using classical ML algorithms such as decision trees, gradient boosting machines, and shallow neural networks. Demonstrated client-facing experience, including engagement scoping, expectation management, and delivery leadership. Strong ability to translate complex technical findings into business insights for both technical and non-technical audiences. Track record of cross-functional collaboration and stakeholder engagement. Experience in commercializing AI technologies, including data-driven tools and platforms. 3. Knowledge, Skills, and Abilities Technical and Analytical Expertise Advanced understanding of statistical methods, regression, hypothesis testing, and experimental design. Deep expertise in predictive modeling, classical ML algorithms (e.g., decision trees, gradient boosting), large language models (LLMs), generative AI, MLOps, and AutoML using frameworks like PyTorch, TensorFlow, HuggingFace, and LangChain. Demonstrated experience with modern AI model architectures including convolutional neural networks, transformers, and diffusion models. Demonstrated experience deploying ML systems into production environments, with a focus on performance, robustness, and scalability. Domain expertise in NLP, computer vision, or speech processing. Proficient in Python for software and ML pipeline development. Experience with SQL, NoSQL, and cloud platforms (AWS, Azure, GCP). Familiar with distributed data systems (e.g., Apache Spark) and workflow orchestration tools (e.g., Airflow, Prefect). Solid background in software development, including Linux, Git, and OOP languages such as Python, Java, or C++. Project and Delivery Management Strong grasp of Agile/Scrum development practices. Proven industry experience in requirements gathering and scoping solutions. The ability to convert high-level business problems into actionable project plans and deliverables. Client and Stakeholder Engagement Excellent interpersonal and communication skills to work directly with clients. Proven ability to develop custom AI strategies aligned with client goals. 4. Preferred Experience Hands-on experience with distributed data processing (e.g., Apache Spark, Hadoop). Track record of building and scaling ML pipelines for both structured and unstructured data. Proven record of technical leadership in architecture and delivery of robust and scalable AI systems. At least 3 years of MLOps experience, including deployment and monitoring of AI models. Proven experience scaling GenAI models (e.g., LLMs, diffusion models) in production settings. Familiarity with containerization (Docker) and orchestration tools (Kubernetes). Preferred experience with MLOps tools and frameworks such as MLFlow, Airflow, Prefect, and related model monitoring and lifecycle management platforms. Demonstrated experience collaborating with clients to deliver tailored AI solutions that solve high-value problems. 5. Values & Abilities Leadership and Mentorship Commitment to mentoring junior staff, fostering a culture of technical excellence and growth. Ethical and Responsible AI Advocacy: Adheres to principles of ethical AI, ensuring transparency, fairness, and accountability in all solutions. Collaboration and Communication: Strong communicator capable of bridging the gap between technical and non-technical audiences. Team-oriented, open to feedback, and committed to inclusive, cross-disciplinary collaboration. Continuous Learning and Technical Curiosity Passion for continuous improvement and staying up to date on cutting-edge AI research and tools. Execution Excellence: Demonstrated ability to manage multiple priorities under tight deadlines while maintaining high quality. Proactive and solutions-driven with strong ownership of project outcomes. Position Type Research Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit ************************************* for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. Compensation Grade/Pay Type: 113S Expected Hiring Range: $112,180.00 - $162,662.50 With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

The Center for Immune Oncology (CIO) at the Dana Farber Cancer Institute (DFCI) seeks a highly motivated **Senior Scientist** to support advanced analytics and data integration efforts across imaging, spatial proteomics, and high-dimensional cytometry data. The successful candidate will play a key role in processing, analyzing, and modeling complex biomedical data - integrating spatial imaging, CyTOF, and clinical data - to enable discovery and translational research collaborations within the CIO. 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 physicians/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. + Perform **imaging and image analysis** for spatial proteomics and multiplexed imaging datasets. + Conduct **CyTOF and FCS data analysis** , including data preprocessing, normalization, clustering, and visualization. + Analyze **medical record data** , integrating structured and unstructured clinical information as appropriate. + Manage and wrangle **large, multimodal datasets** , including high-resolution images and patient-level data. + Support **database integration** , including interoperability and linkage with **REDCap** and other institutional data systems. + Provide **analytic and statistical support** for CIO projects - emphasizing development of custom models, analytical pipelines, and reproducible outputs for collaborative teams. + Develop and deliver **high-quality graphics and visualizations** to communicate findings effectively to both scientific and clinical collaborators. + Proficiency in **R** and/or **Python** , with experience in reproducible data analysis workflows. + Demonstrated ability in **data wrangling** , transformation, and integration of heterogeneous data sources. + Experience working in **computational immunology** . Human immuno-oncology research in an academic or industry setting analyzing clinical trial biomarkers is a plus. + Hands-on experience with **image analysis and processing** , particularly in biological or clinical imaging contexts. + Strong understanding of **statistical modeling** and computational methods for large datasets. + Experience working in **Unix/Linux cluster environments** , using **Git/GitHub** , and containerized workflows (e.g., Docker, Singularity). + Proficiency with reproducible research and reporting tools such as **Jupyter** , **R Markdown** , **Quarto** , and **Posit Connect** (or similar). + Strong communication and collaboration skills, including ability to document, present, and explain complex analyses to multidisciplinary teams. + Advanced degree (PhD) in **bioinformatics, computational biology, data science, biostatistics, or a related field** . 6+ years experience post education and 1+ year management responsibility. + Experience with **spatial omics** , **single-cell** data, or **multimodal integration in human disease contexts** . + A good working knowledge of molecular and disease biology, especially familiarity with immunology. + Familiarity with **medical informatics** , **clinical data standards** , or **REDCap API/database programming** . **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) $95,000 - $125,100 **Environment and Opportunities** The position offers opportunities to collaborate across a diverse set of projects within the Center for Immuno-Oncology (CIO), working closely with experts in computational biology, immunology, and clinical research. The Scientist II/Senior Scientist will sit within the Department of Data Science (DS) and be mentored by faculty directors from both CIO and DS. They will contribute within a small team to data-driven discovery, developing robust and scalable analytic tools for translational research. 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 equally committed to diversifying our faculty and staff. 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**

Data Science Senior Advisor Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What's more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. Join us to do the best work of your career and make a profound social impact as a Data Science Senior Advisor in our Data Science team in Hopkinton, Massachusetts or Round Rock, Texas. What you'll achieve As a Data Science Senior Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines. You will: * Solve business and customer issues utilizing AI/ML * Build prototypes and scalable AI/ML solutions that will be integrated into software products * Collaborate with software engineers, business stakeholders and product owners in an Agile environment * Have complete ownership of model outcomes and drive continuous improvement Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Essential Requirements * Proficient with writing sophisticated, clean, and object oriented Python code * Strong background in math, statistics, and machine Learning knowledge (deep learning, NLP, classification, forecasting, regression) with experience in ML model deployment * Ability to work with internal stakeholders to transfer business questions into data science problem statements * Ability to effectively communicate data science progress to non-technical internal stakeholders and ability to lead a team of data scientists * 5+ years of experience as a data scientist Desirable Requirements * Master's or PhD in a quantitative discipline. * Professional experience with LLM/Agentic technologies Compensation Dell is committed to fair and equitable compensation practices. The salary range for this position is $160,000 - $206,000. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at MyWellatDell.com Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.

SAS Coordinator Space and Assortment This full time entry-level role supports space and assortment departments, providing valuable exposure to the field of space planning. While the position may involve working with building software, it is not solely focused on its operation. Instead, it offers a well-rounded introduction to space planning processes and industry practices. This is a Hybrid opportunity working several days a week in office located in Scarborough ME 04074 Job Will Remain Open Until Filled Responsibilities The Company is one of North America's leading sales and marketing agencies specializing in outsourced sales, merchandising, category management, and marketing services to manufacturers, suppliers, and producers of food products and consumer packaged goods. The Company services a variety of trade channels including grocery, mass merchandise, specialty, convenience, drug, dollar, club, hardware, consumer electronics, and home centers. We bridge the gap between manufacturers and retailers, providing consumers access to the best products available in the marketplace today. Essential Job Duties and Responsibilities Providing support to Space and Assortment planning teams. Works will be independent but may require team or client interaction. Maintain and update data and information in assorted tools to ensure consistency and accuracy for the department. Supports work in Space and Assortment building software with supervision. Learns to understand Space and Assortment planning initiatives and how to search for innovative solutions to support customer goals. Learns basic client/customer strategies to help with supporting department. Supervisory Responsibilities Direct Reports This position does not have supervisory responsibilities for direct reports Indirect Reports This position does not have guidance or mentoring responsibilities for indirect reports Travel and/or Driving Requirements Travel is not an essential duty and function of this job. Driving is not an essential duty or function of this job. Minimum Qualifications The following are the minimum job-related qualifications which an individual needs in order to successfully perform the essential duties and responsibilities of the job Education Level: (Required): High School Diploma or GED or equivalent experience Field of Study/Area of Experience: - 1-2 years of experience in merchandising and planogram development skills Skills, Knowledge and Abilities Proficiency with Microsoft Word, Excel, PowerPoint, Access, Outlook, and web-browsers Any experience with merchandising or knowledge of planograms or floorplans is preferred but not required Organization and multitasking abilities would be beneficial Environmental & Physical Requirements Office / Sedentary Requirements Incumbent must be able to perform the essential functions of the job. Work is performed primarily in an office environment. Typically requires the ability to sit for extended periods of time (66%+ each day), ability to hear the telephone, ability to enter data on a computer and may also require the ability to lift up to 10 pounds. Additional Information Regarding The Company Job Duties and s Job duties include additional responsibilities as assigned by one's supervisor or other manager related to the position/department. This is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law. Any estimate, schedule, or guideline provided to associates in this job description or elsewhere in connection with their jobs is only intended to help describe job duties and for planning purposes. Regardless of any such estimate, schedule, or guideline, associates must always record all time worked for our company (which includes but is not limited to on-site work time in an assigned store, office, or other work location; required waiting time; administrative time; and work-related travel time). Important Information The above statements are intended to describe the general nature and level of work being performed by people assigned to this position. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of associates so classified. The Company is committed to providing equal opportunity in all employment practices without regard to age, race, color, national origin, sex, sexual orientation, religion, physical or mental disability, or any other category protected by law. As part of this commitment, the Company shall provide reasonable accommodations of known disabilities to enable an applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by law.

Principal Data Engineer US-ME-Bath Type: Regular Full-Time Remaining Positions: 1 Salary Grade: F Shift: 1st We are seeking a skilled Data Engineer to join the Data Services team at Bath Iron Works. This role will help transform our data architecture and drive data-driven decision making across the company. In this role you will play an important part in the build-out of our data warehouse and associated data marts. You will also work with business stakeholders throughout the development process to ensure that the created data products align with the business need. The ideal candidate will have hands-on experience in relational databases like SQL Server and Oracle, strong Python skills for data processing and automation, and a foundation in SDLC best practices. You will play a key role in designing, building, and maintaining scalable and reliable data pipelines that support business intelligence and analytics. Responsibilities include, but are not limited to: * Design, develop, and maintain robust ETL/ELT pipelines using SSIS, Python, and SQL. * Extract data from various structured sources including SQL Server and Oracle. * Cleanse, transform, and load data into target systems (e.g. data lakes or warehouses). * Write optimized SQL queries, stored procedures, and functions in SQL Server and Oracle. * Perform data modeling, indexing, partitioning, and performance tuning. * Ensure high data quality, consistency, and integrity through validation routines and monitoring. * Follow best practices for data security, compliance, and documentation. * Collaborate with data analysts, architects, software engineers, and business stakeholders to understand data requirements. * Participate in code reviews, project planning, and technical discussions. Responsibilities * Bachelors degree in Computer Science, Information Systems, Engineering, or a related field. * 36 years of professional experience as a Data Engineer, Database Developer, or similar role. Qualifications Required Experience * Strong hands-on experience with SQL Server and Oracle. * Proficiency in T-SQL and PL/SQL. * Solid programming experience with Python * Experience writing scripts for data manipulation, automation, and orchestration. * Familiarity with ETL tools or frameworks (e.g., Azure Data Factory, SSIS, or custom Python pipelines). * Familiarity with version control tools like Git. Preferred Experience * Working knowledge of Azure data services, especially Azure Data Factory, Azure Storage, and Azure SQL. * Basic understanding of Azure networking, security, and resource management. * Understanding of CI/CD pipelines.

Senior Data Architect Duration: 6++ Months SKILLS / QUALIFICATIONS: 9 years of relevant data warehouse experience including at least 5 year experience in: Physical and dimensional data modeling, process modeling and data mart / warehouse design Oracle database concepts including performance optimization strategies Experience using Oracle Change Data Capture publish / subscribe functionality Experience using Oracle utilities to research and troubleshoot data issues Experience using SAP Data Services ETL tool suite Designing, developing and testing PL/SQL scripts for ETL development Strong business acumen, preferably with experience working in a consumer product goods retail environment and / or in a manufacturing environment ERP software experience, preferably with Oracle E-Business Suite Excellent written and communication skills MUST HAVE: Oracle Database, PL/SQL Cognos SAP Data Services ETL Tool Qualifications BS Degree Additional Information MUST HAVE: Oracle Database, PL/SQL Cognos SAP Data Services ETL Tool

We are seeking a skilled Data Engineer to join the Data Services team at Bath Iron Works. This role will help transform our data architecture and drive data-driven decision making across the company. In this role you will play an important part in the build-out of our data warehouse and associated data marts. You will also work with business stakeholders throughout the development process to ensure that the created data products align with the business need. The ideal candidate will have hands-on experience in relational databases like SQL Server and Oracle, strong Python skills for data processing and automation, and a foundation in SDLC best practices. You will play a key role in designing, building, and maintaining scalable and reliable data pipelines that support business intelligence and analytics. Responsibilities include, but are not limited to: * Design, develop, and maintain robust ETL/ELT pipelines using SSIS, Python, and SQL. * Extract data from various structured sources including SQL Server and Oracle. * Cleanse, transform, and load data into target systems (e.g. data lakes or warehouses). * Write optimized SQL queries, stored procedures, and functions in SQL Server and Oracle. * Perform data modeling, indexing, partitioning, and performance tuning. * Ensure high data quality, consistency, and integrity through validation routines and monitoring. * Follow best practices for data security, compliance, and documentation. * Collaborate with data analysts, architects, software engineers, and business stakeholders to understand data requirements. * Participate in code reviews, project planning, and technical discussions. Required/Preferred Education/Training * Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. * 3-6 years of professional experience as a Data Engineer, Database Developer, or similar role. Required/Preferred Experience Required Experience * Strong hands-on experience with SQL Server and Oracle. * Proficiency in T-SQL and PL/SQL. * Solid programming experience with Python * Experience writing scripts for data manipulation, automation, and orchestration. * Familiarity with ETL tools or frameworks (e.g., Azure Data Factory, SSIS, or custom Python pipelines). * Familiarity with version control tools like Git. Preferred Experience * Working knowledge of Azure data services, especially Azure Data Factory, Azure Storage, and Azure SQL. * Basic understanding of Azure networking, security, and resource management. * Understanding of CI/CD pipelines.

**Category:** Software Development/ Engineering **Alternate Location(s):** United States, New Hampshire, Portsmouth ** J0825-0493 **Employment Type:** Full Time U.S. - The best version of me (***************************** By playing this video you consent to Google/YouTube processing your data and using cookies -Learn more (xweb.asp?clid=21001&page=cookiespolicy#integrationofyoutube) . **Position Description:** We are seeking a motivated Data Engineer to support the modernization of our our clients' insurance agency and policy admin data platforms. This role offers the opportunity to work with cloud technologies (AWS or Azure), build scalable data pipelines, and integrate key systems such as Applied Epic, Ivans, EzLynx, AL3 data integration, Guidewire, and Salesforce FSC. In this role you will contribute to real-time analytics, predictive modeling, and customer insights, while collaborating with cross-functional teams to deliver high-impact data solutions This is a Full Time Employment opportunity, based in Indianapolis, IN. And Portsmouth, NH. **Your future duties and responsibilities:** - Participate in the transition from legacy systems to modern cloud-based data platforms (e.g., AWS, Azure). - Migrate key insurance data (policy) from Applied Epic and Guidewire into unified data warehouses/lakes for advanced analytics. - Architect Insurance Data Ecosystem - Design scalable data architectures that support future-state personal lines insurance workflows, omnichannel engagement, and predictive analytics. - Integrate Applied Epic, Guidewire, and Salesforce FSC data for 360° customer and policyholder insights. - Prepare structured datasets for actuarial modeling, underwriting automation, and customer segmentation using ML and AI tools. - Collaborate with data scientists to deploy models into production environments and monitor model performance over time. - Build real-time and event-driven data pipelines to support dynamic pricing, and customer notifications. - Leverage tools like Kafka, AWS Kinesis, or Pub/Sub for real-time processing across policyholder journeys. - Implement automated data cataloging, lineage tracking, and access controls aligned with NAIC, GDPR, and CCPA requirements. - Use metadata management and data observability tools to ensure future scalability, trust, and transparency. - Enable APIs and data layers to support partnerships and embedded insurance models. - Collaborate with third-party Insurtech platforms, MGAs, and distribution partners through secure data integrations. - Develop reusable, curated datasets and data marts that empower underwriters, and business analysts. - Create training content and documentation to promote self-service data usage across business units. - Integrate Salesforce FSC with internal insurance systems to deliver hyper-personalized customer communications and retention strategies. - Build data layers that power cross-sell/up-sell recommendations and lifecycle marketing based on claims or policy behavior. - Adopt agile methodologies for iterative data delivery and implement CI/CD pipelines for data deployments. - Participate in automation in testing, monitoring, and documentation of data products and pipelines. **Required qualifications to be successful in this role:** - 3-5 years of professional experience as a Data Engineer, preferably in the insurance or financial services industry. - Strong domain knowledge of Personal Lines Insurance (Auto, Homeowners, Renters, etc.), including policy lifecycle, Renewal, billing, and underwriting. - Hands-on experience working with Applied Epic and Guidewire (Policy Center, Billing Center, or Claim Center). - Familiarity with Salesforce Financial Services Cloud (FSC) or core Salesforce CRM data models (nice to have but preferred). - Understanding Insurance data structures, workflows, and APIs specific to insurance operations and customer engagement. - Proficient in SQL and one or more programming languages like Python, Scala, or Java for data transformation and scripting. - Experience building ETL/ELT pipelines using tools such as dbt, Talend, Informatica, or custom frameworks. - Working knowledge of cloud-based data platforms (e.g., AWS Glue/Redshift, Azure Data Factory/Synapse, GCP BigQuery). - Exposure to streaming and event-driven architecture (e.g., Kafka, Kinesis, Spark Streaming) is a plus. - Ability to design and implement insurance data models across policy, claims, customer, and finance domains. - Experience with dimensional modeling, normalization/denormalization, and building data marts for reporting/analytics. - Knowledge of data governance best practices including data quality, lineage, access control, and metadata management. - Familiarity with regulatory and compliance frameworks (e.g., GDPR, CCPA, HIPAA, NAIC standards). - Experience enabling BI tools such as Power BI, Tableau, or Looker by delivering clean, high-quality data sets. - Ability to collaborate with analytics and reporting teams to support KPIs and business insights. - Strong communication skills to collaborate with business stakeholders, product owners, and cross-functional IT teams. - Ability to work in agile development environments and participate in sprint planning, retrospectives, and stand-ups. \#LI-TSCH1 \#DICE Other Information: CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $62,900.00 - $121,100.00. CGI's benefits are offered to eligible professionals on their first day of employment to include: - Competitive compensation - Comprehensive insurance options - Matching contributions through the 401(k) plan and the share purchase plan - Paid time off for vacation, holidays, and sick time - Paid parental leave -Learning opportunities and tuition assistance - Wellness and Well-being programs **Skills:** + Data Engineering + ETL + Personal Lines Insurance + Service Cloud + SQL **What you can expect from us:** **Together, as owners, let's turn meaningful insights into action.** Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because... You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world. Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business. CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_****************** . You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. **Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.** We make it easy to translate military experience and skills! Clickhere (*************************** to be directed to our site that is dedicated to veterans and transitioning service members. All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances. CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI's legal duty to furnish information.