Data Scientist Jobs in Milford, NH

Full Job Description: Senior Data Scientist Watkins is looking for skilled Senior Data Scientists to join our innovative team. In this role, you will support a federal agency by leading complex technology implementation and data analytics projects. You will also mentor team members while applying advanced data science techniques to optimize our data processes. A solid understanding of federal grant-making policies and procedures is essential for this position. Key Responsibilities: Lead data science projects, providing mentorship and guidance to team members. Employ pattern-recognition techniques on large structured, semi-structured, and unstructured data sets to automate and optimize data wrangling processes, including extraction, transformation, and cleaning of data from diverse sources. Demonstrate expertise in data modeling, data mining, data cleansing, and segmentation techniques. Develop and execute complex SQL queries for data manipulation and analysis in database environments. Utilize programming languages and applications (e.g., Python, R, SAS, Tableau, AWS) for data manipulation and statistical analysis. Design and implement data models and management tools to support comprehensive end-to-end solutions. Work with both small and big data environments, understanding the trade-offs associated with different algorithms. Conduct thorough analyses, identify issues, assess risks, and facilitate effective decision-making processes. Prepare data and develop management tools and databases that support integrated solutions. Stay updated on emerging business and technical concepts relevant to data science. Qualifications: Option 1: Minimum of seven (7) years of experience in data science, focusing on complex technology projects and data analytics, with a Master's degree in Computer Science, Information Technology, or a related field. A working knowledge of federal grant-making policies and procedures is required. Option 2: Minimum of ten (10) years of experience in data science, focusing on complex technology projects and data analytics, with a Bachelor's degree in Computer Science, Information Technology, or a related field. A strong understanding of federal grant-making policies and procedures is essential. Skills: Expertise in data mining, data cleansing, and segmentation techniques. Proficient in both small and big data environments. Strong problem-solving and analytical capabilities. Excellent written, verbal, and listening communication skills. Detail-oriented with strong logical thinking abilities. Ability to work independently and effectively lead teams. Capacity to work with minimal supervision. Additional Information: This position is hybrid, requiring both onsite and telework. We encourage local candidates to apply. If you are passionate about data science and committed to enhancing public sector operations, we invite you to become a part of our team at Watkins. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Job Type: Full-time Pay: $135,000.00 - $155,000.00 per year Benefits: 401(k) Dental insurance Employee assistance program Flexible spending account Health insurance Life insurance Paid time off Professional development assistance Vision insurance Schedule: Monday to Friday Work Location: Hybrid remote in Gaithersburg, MD 20878

Onsite Role (Hybrid eligible) Towards Integrated workflows & Data collection • Work hands-on with R&B Scientists & technicians in specific sites to upgrade current data operations and practices to build impactful ways of working. • Work hands-on with R&B users to build automated data workflows where not available (new technologies) and trouble shoot workflows that are flawed or inefficient. • In association with data continuum and digital team ensure proper functioning of data collection process, integration, software and Internet applications. • Design, develop, and modify data infrastructure and templates to help scientist accelerate the processes of data analysis and reporting. • Organize appropriate data collection and raw data processing methods at various users/experimental read outs across R&B teams leading to harmonized data management and utilization. • Resolve data ingestion issues for benchling including legacy and current data. Deploy simplification and or data automation tools 1. Towards Data management & Continuum • Create and implement digital tracking, inventory management, and automated QC dashboard within Benchling. • Support R&B scientists to organize and ingest unstructured data. • Collaborate with Data Science to maintain data management plans for all critical data related to test articles at R&B - Dashboards, meta data etc. • Ensure scientists at R&B have visibility and access to dashboards and meta data • Assess system performance and make recommendations and updates for hardware, software, and data storage improvements. Knowledge & Skills : • Hands on basic IT environment and script programming for automated tools in data acquisition, integration, cleaning, and data management. • Experience of programing with C#, C++ or Python, SQL. • Thorough understanding of management and data administration duties such as collection, analysis, and distribution • In-depth understanding of modern database and information technologies and ability to organize large volumes of data • Ability to develop tools to interface with electronic lab notebook Benchling. • Ability to develop, evaluate, and implement workflows for technology, optimize and standardized existing techniques and workflows with respect to experimental HT mRNA generation process workflow including DNA & IVT-RNA production, and in vitro/in vivo screening is desired • Working knowledge of nucleic acids DNA/RNA analytical performance assessment tools: PCR, Cloning/plasmid generation and design, Quality control on DNA/RNA (capillary electrophoresis, UV quantification, Sanger sequencing, NGS...) is desired. • Past experience with Data mining, data base, functional analysis, machine learning algorithm, dashboarding and data visualization is desirable. • Function in highly collaborative, cross functional team (EU/US) emphasize with networking. • Open to work and to share information across different groups, as well as identify key needs.

We are seeking a Data Scientist to drive innovation in time series forecasting and anomaly detection. This role will be part of a team working on cutting-edge machine learning models and cloud-based solutions to enhance predictive capabilities across the organization. Key Responsibilities: Develop and deploy advanced forecasting models to predict trends, identify anomalies, and optimize decision-making. Design and implement AI/ML algorithms, managing the full lifecycle from data preparation to production deployment. Leverage cloud technologies such as AWS, Snowflake, and Databricks to scale machine learning solutions efficiently. Mentor and guide team members, providing technical expertise and support to drive best practices in AI/ML development. Collaborate with cross-functional teams, including data engineers and business stakeholders, to align AI/ML initiatives with company goals.

About Us We are tackling one of the largest problems in healthcare. In autoimmune conditions, a common clinical practice includes trial-and-error approaches to determine the right therapy for a patient. At Scipher Medicine, we are developing an innovative portfolio of personalized medicine solutions in complex diseases. Scipher's platform identifies and guides physicians towards a more targeted approach to determine the best treatment for their patients, based on their patient's own fundamental disease biology. We have a growing pipeline of products that are currently being developed and the potential to predict which therapies patients will respond to, ensuring optimal treatment is prescribed from day one. This includes PrismRA, a precision medicine test that helps guide healthcare providers' treatment decisions in patients with rheumatoid arthritis. Pipeline indications span the autoimmune and immune-mediated diseases space. Learn more about Scipher at ********************************* Overview The Principal/Senior Data Scientist will lead technical efforts to develop AI/machine learning based pipelines and apply state-of-the-art computational and statistical methods to deliver testable hypotheses and biological insights in Personalized Medicine. What will I do? Lead the development of AI and machine learning based models to offering tools for precision diagnostics, drug discovery, and personalized medicine, by analyzing complex biological multi-omics data and predicting treatment outcomes Contribute to the development of companies' platform and biomarker discovery in collaboration with the research team Build cloud computing infrastructure to facilitate high throughput hypothesis testing in collaboration with other R&D scientists Summarize and communicate results to project teams, provide intellectual input, and contribute to decision-making. Present the company's scientific results internally and at leading industry conferences. Contribute to high-quality documents and scientific publications Deliver each project within agreed upon timelines Maintain knowledge in latest scientific and technology advancements in the field of Systems Biology and Machine Learning Minimum Education and Qualifications PhD in Computer Science, Mathematics science, Machine Learning, Data Science, Statistics, Bioinformatics or relevant fields 5 plus years of experience in machine learning, computational biology, bioinformatics, systems biology Experience in common statistical and machine learning methods Skilled in implementing machine learning and statistical analysis to high dimension data. Proficiency in coding (R and python are preferable) Familiar with bioinformatics and hands on experience analyzing genomic data, gene expression patterns, and understand genetic networks Experienced in network science approaches and multi-omics data computing is a plus Ability to establish and maintain effective working relationships with coworkers, managers, and clients Strong communication skills, both written and verbal Passion in advancing frontiers of personalized medicine in complex diseases Scipher is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religions, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status or any other characteristic protected by law.

The Expertise and Skills You Bring · Bachelor's or Masters in Computer Science, Computer Engineering, Software Engineering, or equivalent is required. · 8+ years of experience in the domain of data engineering · Deep expertise in Oracle PL/SQL (complex queries, stored procedures, performance tuning, and materialized views) · Recent experience using ETL tools (Informatica preferred) · Demonstrable experience testing PL/SQL stored procedures, ETL jobs, and other data transformations. · Experience writing database change management (CI/CD) using Liquibase or similar tools. · Experience using Python as part of ETL or data analysis is very helpful · Experience with Agile software development processes and practices like code review, automated testing, and CI/CD Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals. Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit ******************* to learn more. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

Title: Data Engineer Lead Reports to: VP of Data Analytics Job Type: Remote or hybrid (We're built to work from anywhere) (we do not offer C2C or C2H positions) Status: Full-Time About At Prendio-BioProcure, we are dedicated to helping scientists and biotech researchers develop novel therapies and cure diseases as quickly and cost-effectively as possible. Our software enables scientists to find, select, order, and obtain the products and services they need to support their research, highly efficiently and at lower cost. Our services allow biotech companies to leverage best-in-class procurement and accounts payable teams in a turn-key fashion, benefiting from decades of experience and expertise. As a result, biotechs can focus on science and improve their opportunity to bring therapies to market. We are building a company of driven team players who are intellectually curious, eager to learn and pursue growth, and have the stamina to make an impact in our fast-paced environment. We value high-performance teams that are built around the following competencies: Innovative: We believe that rethinking the status quo is imperative and that new ideas can and should come from everyone on the team. Collaborative: Every interaction, whether with a client or a colleague, should be impactful, and respectful and leave them excited to deal with you again. Execution-Oriented and Accountable: The kind of change that is necessary will not come without breaking a few eggs, so we have the courage to be adventurous and try new things, but we also admit when something is not working, own it and do it better the next time. Job Summary Prendio is seeking a dynamic and highly skilled Data Engineer Lead to become the technical owner of our data platform. In this pivotal role, you will manage the infrastructure and tools that power our data-driven decision-making, ensuring exceptional access, uptime, and performance. If you thrive in a fast-paced, high-performance culture and excel in navigating complex challenges with adaptability, resilience, and a passion for learning, this role is designed for you. Prendio's high-growth environment rewards those who are eager to push boundaries and embrace innovation. While the expectations are high, the opportunities for impact and professional growth are unparalleled for the right candidate. Role & Responsibilities Develop data integrations and robust data pipelines to support BI reporting, advanced analytics, and AI/ML initiatives. Design and document data models, data flows, and data architectures that are scalable and future-proof. Mentor and guide junior data engineers, fostering a culture of collaboration, innovation, and continuous learning. Partner with product managers, software engineers, data scientists, and analysts to scope and implement technical solutions that address complex business challenges. Requirements and skills Proven expertise in developing and managing data warehouses and related technologies; experience with Snowflake is a significant plus. Hands-on experience in designing and maintaining ETL/ELT pipelines and data integrations. Proficiency in Pythonand SQL, with a strong foundation in data engineering best practices. Experience with dbt(a plus) and operating within an AWS environment (preferred). A demonstrated track record of delivering complex analytical use cases that drive business value. Familiarity with AI/ML use cases is advantageous. Exceptional adaptability, problem Benefits: Blue Cross Blue Shield Health Insurance - 100% of employee premiums paid BCBS Dental insurance - 100% of employee premiums paid VSP Vision Coverage Flexible Spending Account Healthcare Health savings account with employer contribution 401K/Roth 401k Paid holidays Paid vacation/Unlimited PTO Other benefits, including a complimentary subscription to the Calm app, pet insurance, legal assistance and more Website - ******************** Advancement within BioProcure/Prendio is based on manager discretion and other company considerations. This job description does NOT constitute an employment agreement between the employer and employee and is subject to change by the employer as the organizational needs and requirements of the job change.

______________________________________________ONLY W2 ________________________________________________ Data Engineer - ONLY W2 Long Term Project Client: Direct The Expertise and Skills You Bring Bachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required with 5+ years of experience. Advanced SQL/PLSQL knowledge. 2+ years of Python development. Experience with Unix scripting and scheduling tools. Good experience in working with AWS or similar Cloud Technologies. Strong data modeling skills doing either Dimensional or Data Vault models. Proven data analysis skills. Experience working with snowflake database is a plus. Hands-on experience on SQL query optimization and tuning to improve performance is desirable. Hands-on experience with ETL tool like Informatica is a desirable Working experience with some or all the following: AWS, Containerization, associated build, and deployment CI/CD pipelines. Experience with DevOps, Continuous Integration and Continuous Delivery (Jenkins, Stash, Concourse, Artifactory). Experience in Agile methodologies (Kanban and SCRUM) is a plus. Proven track record to handle ambiguity and work in fast paced environment. Good interpersonal skills to work with multiple teams in the organization.

W2 Only role. Data Engineer (Must have Databricks) Need Mid level (3-5Yrs) Key Skill: Strong Databricks, AWS, Apache Spark, SQL, Scala/Python, Hadoop Skill Sets Required Good decision-making and problem solving skills Solid understanding of Databricks fundamentals/architecture and have hands on experience in setting up Databricks cluster, working in Databricks modules (Data Engineering and SQL warehouse). Solid Knowledge on medallion architecture, DLT and unity catalog within Databricks. Experience in migrating data from on-prem Hadoop to Databricks/AWS Understanding of core AWS services, uses, and AWS architecture best practices Hands-on experience in different domains, like database architecture, business intelligence, machine learning, advanced analytics, big data, etc. Solid knowledge on Airflow Solid knowledge on CI/CD pipeline in AWS technologies Application migration of RDBMS, java/python applications, model code, Opensearch etc. Solid programming background on scala and/or python with Spark Experience with Docker and Kubernetes is a plus

Key Responsibilities: Design and implement robust computational and statistical methods to analyze large scale proteomics and metabolomics datasets. Develop automated data processing pipelines in collaboration with our cloud infrastructure team. Establish tools for the analysis, visualization, and reporting data in collaboration with scientists and other stakeholders. Collaborate closely with our chemoproteomics, synthetic biology, and metabolomics teams to identify and build enabling solutions. Integrate in-house datasets with public resources (GNPS, BioPlex, DepMap, etc.) to better understand disease biology and drive drug discovery programs. Qualifications: Ph.D. with 1+ years or M.S. with 3+ years of relevant data science and software development experience High level of proficiency in programming languages such as Python and/or R. Experience working with biological and mass spectrometry data types including chemoproteomics, proteomics, metabolomics, and natural product structures Experience applying statistical and machine learning methods Extremely collaborative, innovative, and driven to add value to diverse projects

What Working at Hexaware Offers: Hexaware is a dynamic and innovative IT organization committed to delivering cutting-edge solutions to our clients worldwide. We pride ourselves on fostering a collaborative and inclusive work environment where every team member is valued and empowered to succeed. Hexaware provides access to a vast array of tools that enhance, revolutionize, and advance professional profiles. We complete the circle with excellent growth opportunities, chances to collaborate with high-profile customers, opportunities to work alongside brilliant minds, and the perfect work-life balance. With an ever-expanding portfolio of capabilities, we delve deep into and identify the source of our motivation. Although technology is at the core of our solutions, it is the people and their passion that fuel Hexaware's commitment to creating smiles. “At Hexaware, we encourage individuals to challenge themselves to achieve their full potential and propel growth. We trust and empower them to disrupt the status quo and innovate for a better future. We promote an open and inspiring culture that fosters learning and brings talented, passionate, and caring people together. We are always interested in, and want to support, both the professional and personal aspects of our employees. We offer a wide array of programs to help expand skills and supercharge careers. We help discover passion, the driving force that makes one smile, innovate, create, and make a difference every day. The Hexaware Advantage: Your Workplace Benefits Excellent health benefits with low-cost employee premiums. A wide range of voluntary benefits such as legal, identity theft, and critical care coverage. Unlimited training and upskilling opportunities through Udemy and Hexavarsity. Role - Blockchain Data Engineer (AWS, Ethereum) Location: Boston Job Mode - Hybrid Note : We are seeking a Blockchain Data Engineer with expertise in Ethereum and AWS to design and develop scalable blockchain data solutions. Key Responsibilities & Requirements: • Develop data pipelines to process and analyze Ethereum blockchain data (on-chain & off-chain). • Work with Ethereum node APIs, smart contracts, and transaction data for real-time and batch processing. • Leverage AWS services (S3, Glue, Redshift, DynamoDB, Lambda) to build scalable infrastructure. • Optimize data storage, indexing, and retrieval for blockchain analytics. • Proficiency in SQL, Python, Spark, and Kafka for data engineering. • Strong understanding of Web3, DeFi protocols, and smart contract interactions. • Implement event-driven architectures for blockchain data • Ensure data security, governance, and compliance best practices. • Experience with decentralized applications (dApps) and Layer 2 solutions is a plus. • Passion for blockchain technology and solving complex data challenges. Benefits offered by Hexaware: Competitive Salary Job Description: Company Pension Scheme Comprehensive Health Insurance Flexible Work Hours and Hybrid Work Options Paid annual holidays + public holidays. Professional Development and Training Opportunities Employee Assistance Program (EAP) Diversity, Equity, and Inclusion Initiatives Company Events and Team-Building Activities Equal Opportunities Employer: Hexaware Technologies is an equal opportunity employer. We are dedicated to providing a work environment free from discrimination and harassment. All employment decisions at Hexaware are based on business needs, job requirements, and individual qualifications. We do not discriminate based on race including colour, nationality, ethnic or national origin, religion or belief, sex, age, disability, marital status, sexual orientation, parental status, gender reassignment, or any other status protected by law. We encourage candidates of all backgrounds to apply.

The Data Scientist is a pivotal role within our Data Science and Machine Learning team, driving the development of data-driven products and services. You will create and deploy efficient, scalable machine learning models while ensuring robust and optimized supporting infrastructure. Operate at the intersection of data science, machine learning, and MLOps - designing cloud-native platforms, automating model deployment pipelines, and creating monitoring and alerting tools. Your expertise in developing advanced models and maintaining production deployments will ensure reliable, high-performing machine learning solutions. This position is based in our Waltham, MA office. We offer a flexible work environment. This means working up to 2 days a week remotely and the rest of the time in the office. For over 90 years Global Partners LP has been delivering the energy our communities need to grow, move, and thrive. From Alltown Fresh, with its innovative chef-led creations and guest-focused retail experience, to our vast network of over 50 liquid energy terminals across the eastern seaboard and beyond, Global Partner's integrated network of businesses delivers value day-in and day-out to our guests and customers across the US. At Global Partners we embrace the future, investing in the energy transition with initiatives like GlobalGLO and supporting the communities in which we operate with our charitable work. We're excited for the next 90 years at Global Partners and what innovative new ideas we can bring to our guests and customers in the future. We're looking for passionate people with great ideas to contribute to our company's future. If you're motivated by what's next, Global Partners can provide you the opportunities to push your career to the next level. The Types of "Energy" You Bring * Excellent written and verbal communication skills * You are self-motivated and like to take initiative * You are a team player with a positive attitude * You have strong time management skills "Gauges" of Responsibility * Develop and deploy scalable machine learning models using statistical, machine learning, and deep learning methods, including advanced time series models, to extract insights into product features, user behavior, and business metrics. * Build and maintain cloud-native MLOps platforms, automating end-to-end pipelines for data ingestion, model training, deployment, and monitoring on platforms like AWS and Snowflake. * Collaborate with data engineers and cross-functional teams to design data pipelines, translate business needs into data science solutions, and present insights to shape product strategy. * Optimize models for performance, scalability, and reliability, ensuring data quality, integrity, and governance throughout the lifecycle, while fostering a data-driven culture and continuous learning environment. Fuel" for You * Coins! We offer competitive salaries and opportunities for growth. We mean it! We have an amazing Talent Development Team who create trainings for growth and job development. * Health + Wellness - Medical, Dental, Visions and Life Insurance. Along with additional wellness support. * The Road Ahead - We offer 401k and a match component! * Professional Development - We provide tuition reimbursement; this benefit is offered after 6 months of service. * Give Back! We believe in community support. We know everyone gives in their own way, that's why we offer paid volunteer time off to you to help an organization of your choice. The GPS of our Interview Process * First thing first, if you're interested in the role, please apply. * A talent acquisition team member will review your resume in partnership with the hiring manager. If your experience would lend to this opportunity a recruiter will contact, you. * We conduct in-person and virtual interviews. Qualifications * Bachelor's or master's degree in data science, Computer Science, Machine Learning, or a related field, with 3+ years of experience in developing and deploying machine learning models in production environments. * Proven track record of implementing end-to-end machine learning solutions, including data collection, preprocessing, model deployment, and monitoring, using Python, SQL, and libraries like Pandas, NumPy, TensorFlow, PyTorch, and Scikit-Learn. * Strong understanding of cloud platforms (e.g., AWS), including experience with services like S3, Lambda, SageMaker, and orchestration tools such as Kubernetes, Airflow, or Dagster. * Hands-on experience with MLOps practices, including containerization (Docker), CI/CD pipelines, infrastructure as code (IaC) tools like Terraform or AWS CDK, and building scalable feature stores and data pipelines. * Familiarity with time series forecasting methods, including statistical and deep learning models like ARIMA, LSTM, and Transformers. * Knowledge of natural language processing (NLP), Retrieval-Augmented Generation (RAG) systems, and generative AI models for building advanced AI solutions. * Strong analytical and problem-solving skills, with the ability to translate complex business challenges into data-driven solutions and effectively communicate findings to non-technical stakeholders. * Knowledge of data governance, security best practices, and regulatory compliance for machine learning workflows, with experience in data warehousing solutions like Snowflake. * A proactive, self-motivated attitude, with a passion for continuous learning, adaptability in a fast-paced environment, and a drive to stay updated with the latest trends in AI and MLOps. We value passion and potential. If you are enthusiastic about a position and think you can make a meaningful impact, we encourage you to apply even if you don't check every box. We embrace different perspectives, backgrounds and experiences. Global Partners LP is an equal opportunity employer. We foster a company culture where ideas from all people help us grow, move and thrive. We embrace the diversity of all applicants and do not discriminate against race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other basis prohibited by federal, state or local law. If you have a disability and need an accommodation to apply, please contact our recruiting department at ************. * Disclaimer: At Global Partners, we don't use lie detector tests for any employment decisions. We follow all the rules and regulations, so we need to let you know: In Massachusetts, it's illegal to require or administer a lie detector test as a condition of employment of continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Company: The mission of Well (********************* is to transform healthcare through our unique impact to our members' health and happiness. We do this through our differentiated consumer experience and world-class data and analytics engine that drive engagement and behavior change. Our product -- a consumer health engagement platform -- integrates concierge services, behavioral health, telemedicine, care management and wellness services to drive sustained engagement, lower costs and improve the health of members. In addition to our product, we know our team makes us unique. We're a highly diverse and engaged organization whose employees are passionate about the mission of the company and whose management is passionate about the employees. We promote an employee- and member-centric culture with generous benefits, which you can learn more about here: **************************** Position Title: Data Scientist (Health Outcomes) Reporting to: Vice President, Health Outcomes Location: Chapel Hill, NC; Newton, MA or Minneapolis, MN; New York, NY Compensation: $125,000 - $145,000 (Data Scientist 3 - Senior Data Scientist 1), depending on qualifications, plus bonus potential and benefits Position Summary: We're looking for a Data Scientist to join our Health Outcomes and Business Intelligence team. As a member of this team, you will be responsible for building and maintaining our data infrastructure for analyzing healthcare costs using administrative claims data. You will maintain industry standard healthcare analytics tools as well as develop innovative techniques for surfacing insights and opportunities. Key Responsibilities: * Develop infrastructure to continuously monitor trends and identify opportunities in healthcare costs via administrative claims data using machine learning, business intelligence tools, statistics and artificial intelligence * Apply classification systems (e.g. NYU non emergent algorithm) and tools to administrative claims data to leverage and scale existing data and generate insights * Synthesize qualitative and quantitative information from administrative claims data, in addition to a wide range of disparate data sources including product data, academic literature, clinical trial results, and market research * Collaborate with cross-functional teams to contribute to and meet business objectives * Take personal responsibility for keeping all Well systems and data, including sensitive member data, secure and safe, according to Well data and security policies and HIPAA guidelines Preferred Qualifications: * Work/industry experience in healthcare analytics, real world evidence, or related field developing infrastructure and leveraging administrative claims data to generate insights from complex healthcare data * Knowledge of administrative claims data (CPT codes, ICD-10 codes), healthcare costs, and healthcare field * Advanced SQL skills with experience standardizing queries and building data infrastructure involving large-scale relational datasets * Knowledge of software engineering best practices like version control, naming conventions, and continuous integration to the analytics code base * Experience with analytic tools/programming languages (R, Python, Stata) and working knowledge of statistics, causal inference, and machine learning * Ability to organize, prioritize, plan, and execute multiple work streams concurrently and across teams * Great communication and collaboration skills. Ability to communicate technical concepts to non-technical audiences. Additional Job Information Well is on a mission to redefine the healthcare experience. This is an opportunity to re-shape healthcare for America. We are developing solutions to improve the quality and affordability of healthcare. We welcome team members who are passionate about that mission. We embrace diversity and are committed to building an inclusive team. All qualified applicants will be eagerly considered for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Hire Top Experts from this Cloud Cloud Description Data scientists in the retail industry have been working on large volumes of complex, multi-dimensional data to understand consumer behavior. This TalentCloud requires experts to have extensive knowledge of working with large volumes of data and deploying advanced models to generate actionable insights. Required Skills * Extensive experience as a data scientist with a focus on the retail industry. * Experience working in web, product, customer, care, or other related analytics fields * Proficient in Python * Proficient in machine learning models such as neural networks, SVM, Naïve Bayes * Experience with Natural Language Processing (NLP) * Experience with computer vision * Proficient in storytelling and data visualizations (Tableau, Plotly, and Seaborn) * Hands-on experience writing data processing and data pipeline for unstructured data model development including gathering and building datasets to collect intents, cleaning noisy data, designing feedback loop on data needs * Proficient in unsupervised machine learning methods such as cluster analysis and anomaly detection * Proficient in SQL * Experience with active learning and reinforcement learning * Experience with Named Entity Recognition models * Experience with GCP, AWS, or Azure * Experience with Big Data platforms such as Spark (SparkML/PySpark) Preferred Skills * Graduate degree in computer science, statistics, or a related field. * Experience with NoSQL databases * Experience with BigQuery * Experience with Google Natural Language API and spa Cy * Experience with econometric models such as panel data models * Experience with R/ Scala * Experience with Containers * Experience with Django

WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. As a Data Scientist on our Women's Health team, you will develop algorithmic features and metrics that impact Women's health initiatives. By leveraging various data sources to combine WHOOP data with “gold standard” truth data, as well as drawing upon clinical theory and evidence, you will work with a team of data scientists to design, train, deploy, and maintain machine learning algorithms to provide insights to members on a wide range of topics. As part of our production data science team, you'll work with MLOps engineers to create and maintain robust services that host data science algorithms. RESPONSIBILITIES: Develop statistical and machine learning models to solve complex problems with data of varying structures Conduct research on specific health and physiological problems and integrate clinical research into the development of algorithms Productionize models and algorithms, monitor production service in the field Work with software engineers and MLOps engineers to stand up production backend applications in Python that pass data through inference pipelines. QUALIFICATIONS: Bachelor's Degree in Statistics, Data Science, Applied Mathematics, Artificial Intelligence, Computer Science, or a related field 1+ years of full-time professional experience in a related area 2+ years experience applying advanced machine learning and statistical techniques Strong python programming skills and substantial experience with scientific python packages A strong interest in improving health and well-being through wearable technology Preferred Qualification: Experience working with processed physiological time series data such as that from PPG, ECG, or EEG sensors Preferred Qualification: Experience deploying services and maintaining live code through logging and monitoring within a production environment Preferred Qualification: Knowledge of women's health and physiology, including reproductive health, menstrual cycles, and related biometrics Preferred Qualification: Knowledge of software development processes and the software lifecycle. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Our customers love our technology, but it's our caring employees that make Splunk stand out as an amazing career destination. No matter where in the world or what level of the organization, we approach our work with kindness. So bring your work experience, problem-solving skills and talent, of course, but also bring your joy, your passion and all the things that make you, you. Come help organizations be their best, while you reach new heights with a team that has your back. **Role Summary** We're seeking a Senior Product Data Scientist to join Splunk's PX Data Strategy team. In this strategic and hands-on role, you will spearhead advanced analytics initiatives and play a crucial part in refining our data and measurement strategy. With your expertise in forecasting, modeling, regression, and clickstream analysis, you will transform complex data sets into actionable insights that drive data-driven decisions, enhance product performance, and elevate customer experiences. **What You'll Get To Do** + Lead Advanced Analytics Initiatives: Conduct clickstream analysis, forecasting, and predictive modeling to gain insights into user behavior and optimize user journeys. Utilize inferential statistics, including regression analysis, to drive strategic improvements in product performance. + Develop and Optimize Feedback Mechanisms: Create and refine in-app feedback systems using exploratory analysis and A/B testing to enhance data quality and engagement across all user segments. + Integrate and Analyze Data: Combine telemetry data with user feedback metrics to provide a comprehensive view of product performance and user sentiment. Use inferential statistics to identify patterns and drive data-driven decision-making. + Drive Data-Driven Decision-Making: Leverage insights from telemetry and user feedback to inform product teams, facilitating strategic decisions that enhance user experience and align with business objectives. Apply statistical models to predict future trends and outcomes. + Collaborate and Engage with Stakeholders: Work with cross-functional teams to ensure alignment on measurement objectives and strategies. Use data-driven insights to guide product planning and execution, fostering a culture of collaboration and innovation. **Must-have Qualifications** + 8+ years of experience with a Bachelor's degree in Data Science, Statistics, Mathematics, or a related field, or equivalent applied experience. + Proven expertise in advanced analytics, including forecasting, modeling, regression analysis, and clickstream analysis, to extract actionable insights from complex data sets. + Strong skills in statistical analysis, data interpretation, and experimental design, with a particular focus on applying inferential statistics to solve business challenges. + Demonstrated ability to collaborate effectively with cross-functional teams, driving data-driven decisions that enhance product strategy and performance. + Experience in synthesizing telemetry data with qualitative and quantitative insights, enabling comprehensive analysis that informs strategic decision-making. + Proven track record in developing scalable data solutions across various product lines and user segments, ensuring data-driven strategies align with overarching business objectives. Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off, and much more! Learn more about our comprehensive benefits and well-being offering here. **Splunk is an Equal Opportunity Employer** Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Note: **Base Pay Range** SF Bay Area, Seattle Metro, and New York City Metro Area Base Pay Range: $159,200.00 - 218,900.00 per year California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts Base Pay Range: $143,280.00 - 197,010.00 per year All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area. Base Pay Range: $127,360.00 - 175,120.00 per year Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. **In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.** Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at ************************** .

At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference. We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers. As a Full Stack Data Scientist and a key member of our AI CoE, you'll play a pivotal role in driving this transformation. You'll work closely with business stakeholders to understand their needs and translate them into actionable data-driven solutions. You will be responsible for building and maintaining robust machine learning models and GenAI solutions, designing intuitive user interfaces, and ensuring seamless integration with our existing systems. This role is looking for a highly skilled and versatile engineer who can bridge the gap between machine learning and front-end development. The ideal candidate will have a strong understanding of both areas and be able to apply their knowledge to build innovative and user-friendly applications. **Responsibilities** + Develop intuitive and user-friendly web applications using modern front-end frameworks (e.g., React, Angular, Vue.js) to showcase and interact with your ML/GenAI solutions. + Strong understanding of React components, state management, and lifecycle methods. + Ability to build complex and performant user interfaces. + Develop and deploy Machine Learning (ML) models: Design, train, and optimize machine learning models for a variety of applications like forecasting, classification and categorization systems, and churn prediction. + Develop, integrate and maintain Generative AI (GenAI) solutions: Explore and implement GenAI technologies, like large language models (LLMs), to enhance existing applications or create new GenAI-based solutions. This includes working with RAG technologies, embedding models, and crafting effective prompts for LLMs. Ensure the reliable and scalable deployment; and support and maintenance of GenAI models in production environments. + Construct robust APIs: Design and implement RESTful APIs to integrate your ML models or GenAI solutions with other applications and systems within the organization. + Build and maintain end-to-end ML pipelines: Design, develop, and maintain robust and scalable ML pipelines, encompassing data ingestion, feature engineering, model training, deployment, and monitoring. + Ensure scalability and performance: Design and implement solutions to ensure that your ML and GenAI applications are scalable, efficient, and performant, even with large volumes of data and usage. + Create compelling data visualizations: Develop interactive and insightful visualizations to communicate the results of your data analysis and ML/GenAI models to stakeholders + Collaborate with cross-functional teams: Work closely with principal and senior data scientists, data engineers, business analysts, and product and project managers to ensure successful delivery of projects. + Stay current on the latest trends in AI: Actively seek out and experiment on new ML and GenAI technologies and approaches to enhance your skillset, and the performance and efficiency of your ML/GenAI models. This includes active participation in internal events like AI CodeJam. **Qualifications** + Bachelor's degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred. + At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role preferred + Experience including HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.js, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL. + Experience with popular React libraries and tools (e.g., Redux, React Router, Styled Components). + Experience in DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD piplelines using Concourse + Knowledge of clinical domain and datasets. + Knowledge of REST, Apigee, Microservices preferred + Experience in Generative AI, RAG implementation, re-ranking, Large Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, Vector databases, Embedding models, Prompting techniques. + Experience with Machine Learning and related technologies such as Jupiter Notebooks, RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluation + Understanding of cloud data engineering and integration concepts including GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storage. + Strong mathematical and statistical skills. + 2+ years in the Healthcare industry and knowledge of clinical data preferred. + Delivery experience with Google Cloud Platform preferred. + Agile development skills and experience preferred. + Experience designing and developing machine learning and deep learning solutions and systems. + Experience using statistical analysis to determine data modeling approach, training machine learning tests and experiments. + Experience possessing deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged within the Commercial Technologies and/or Business landscape. + Experience mining and analyzing large structured and unstructured datasets. + Experience identifying the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions. + Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production + Experience in model training, model evaluation, model optimization, ML system architecture design, and scalable ML model deployment + Experience building large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam + Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks. + Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP) + Experience interacting with REST APIs and microservices + Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. **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 + Recommends new practices, processes, metrics, or models + Works on complex projects of large scope projects may have significant and long-term impact + Provides solutions which may set precedent + Collaborate with stakeholders for completion of new projects **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **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:** 1/26/2025 *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. \#LI-Remote \#LI-AP4 _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 (***************************************************************************************************************************

Why Sarepta? Why Now? The promise of genetic medicine has arrived, and Sarepta is at the forefront. We hold leadership positions in Duchenne muscular dystrophy (DMD) and limb-girdle muscular dystrophies (LGMDs), and we currently have more than 40 programs in various stages of development in gene therapy, RNA and gene editing. In 2023, we launched our fourth therapy and the first ever gene therapy to treat Duchenne. We're looking for people who see unlimited potential in themselves and who are motivated by an unwavering commitment to patients. What Sarepta Offers At Sarepta, we care deeply about all the people in our community and believe in the importance of supporting them in all aspects of their lives. We aspire to maintain a culture that acknowledges people bring their whole selves to work, and we will strive to help everyone in our community integrate their work and personal lives while maintaining productivity. We are committed to offering a range of benefits and work-life resources designed to support people in the following areas: Physical and Emotional Wellness Financial Wellness Support for Caregivers For a full list of our comprehensive benefits, see our website: ******************************* The Importance of the Role As a Research Data Scientist- I, you will play an important role in advancing Sarepta's mission to develop transformative genetic therapies. By utilizing advanced computational biology and AI/ML models, this position plays a direct role in discovering and developing innovative treatments for Duchenne muscular dystrophy (DMD), limb-girdle muscular dystrophies (LGMDs), and other genetic disorders. The successful candidate will be instrumental in incorporating data-driven insights into the drug development process, ultimately improving patient care and outcomes. The role of Research Data Scientist presents an exciting opportunity for individuals with a strong background in data science and machine learning who want to make a direct impact on patient care. In this hands-on position, the data scientist will research and develop advanced machine-learning models to tackle challenging biological questions related to drug discovery across various therapeutic modalities, including RNA therapies, gene replacement, and gene editing. As a data scientist, you will gain exposure to the entire drug development process and collaborate with both bench and computational scientists to create and implement computational solutions that support scientific projects. This is a fantastic opportunity to work at the forefront of precision genetic medicine, where your contributions could lead to the development of transformative therapies that may change patients' lives. The Opportunity to Make a Difference Develop and implement cutting-edge computational biology and AI/ML models to address challenging research questions that support various stages of drug discovery projects. Develop advanced deep learning models to leverage internal and external experimental data to derive novel insights and support scientific decision-making. Implement appropriate benchmarks to evaluate model performance, robustness, and scalability, and collaborate with scientists across the organization to validate model predictions. Collaborate with research scientists across the R&D organization, to identify key scientific problems and curate relevant datasets for developing novel computational, machine learning solutions. Evaluate and adopt both proprietary and open-source tools to enhance computational biology and machine learning workflows. Maintain and develop a well-documented codebase and documentation for ML/AI models and computational workflows. Perform additional related tasks as assigned. More about You PhD in Computational Biology, Machine Learning, Biomedical/Chemical Engineering, or a related field, along with 1-2 years of relevant experience, preferably in the biotech or pharmaceutical industry. A background in gene therapy and gene editing technologies is strongly preferred. Demonstrated expertise in conceiving and implementing machine learning and neural network models on biological datasets, with a solid understanding of feature selection, regularization techniques, model introspection, and interpretability. Proficiency in utilizing and adapting probabilistic learning or deep learning models, including Recurrent Neural Networks (RNNs), Graph Neural Networks (GNNs), Transformers, Natural Language Processing models, and Generative AI. In-depth knowledge of advanced computational and statistical methods, as well as algorithms, particularly in AI/ML applications on biological datasets. Advanced programming and scripting skills in languages such as Python, R, and SQL, with hands-on experience using modern deep learning frameworks such as PyTorch, Tensorflow, skikit-learn, or JAX. Experience in developing machine learning models for DNA/RNA/proteins, including language models, structure prediction, and design, is a plus. Experience working with large-scale computing and cloud infrastructures, database systems, and development tools in a production environment. Adept at programmatically interfacing databases through APIs, FTPs, or remote server connections. Ability to effectively communicate and collaborate with a multidisciplinary team, including chemists, biologists, geneticists, data scientists, and clinical scientists, to complete scientific projects. Strong team player with excellent communication skills and a commitment to continuous learning. What Now? We're always looking for solution-oriented, critical thinkers. So, if you're comfortable with ambiguity and candor, relish challenging yourself, and place kindness and integrity at the forefront of how you approach your peers and work, then we encourage you to apply. #LI-Remote#LI-PM1This position is remote. However, you will be expected to work on site at one of Sarepta's facilities in the United States and/or attend Company-sponsored in-person events from time to time.The targeted salary range for this position is $100,000 - $125,000 per year. Sarepta is making a good faith effort to be transparent and accurate around our hiring ranges. The salary offer is commensurate with Sarepta's compensation philosophy and considers factors including, but not limited to, education, training, experience, external market conditions, criticality of role, and internal equity.Candidates must be authorized to work in the U.S.Sarepta Therapeutics offers a competitive compensation and benefit package.Sarepta Therapeutics is an Equal Opportunity/Affirmative Action employer and participates in e-Verify.

Candidate Profile: Data modeling Experience- Erwin or Power Designer Data mapping / data taxonomy SQL knowledge Snowflake Nice to Have Data Governance- rules and conditions of what data can be accessed. Nice to Have: Collibra or Alation experience Need good soft skills- will be collaborating across many teams The Expertise and Skills You Bring Bachelor's or master's degree in computer/data science technical or related experience 8+ years of experience hands-on relational, dimensional, and/or analytic experience. Python knowledge is a plus Strong SQL knowledge and work experience with databases such as Oracle, PostgreSQL, Snowflake, Teradata Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required. Demonstrated, hands-on data modeling, ER diagram` and enterprise software design experience for OLTP (relational) and analytical systems Good knowledge of data modeling principles and standard methodologies including a good understanding of semantic data modeling concepts and multi-Fact model Ability to define data modelling standards and guidelines as well help teams adopt complex large-scale & global data driven implementations Strong experience in data modelling activities supporting history handling time series data warehousing & data transformations Ability to quickly grasp technological, business concepts, key domain and entities Strong verbal and written communication skills; experience communicating with engineers, architects and product management to explain technical and functional concepts Ability to assess the accuracy completeness and consistency of data models as well as maintaining relevant documentation Experience with Alation, Collibra to drive data cataloging and data lineage Strong understanding of data governance processes and metadata repositories Experience of working with Data Governance team to identify and capturing business and technical metadata associated with various data entities Experience and desire to work within a fast-paced environment with short release cycles and an iterative development methodology. Able to work on multiple projects/products simultaneously and comfortable working with minimal specifications. Excellent communication and documentation skills

WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. As a Data Scientist on our Women's Health team, you will develop algorithmic features and metrics that impact Women's health initiatives. By leveraging various data sources to combine WHOOP data with "gold standard" truth data, as well as drawing upon clinical theory and evidence, you will work with a team of data scientists to design, train, deploy, and maintain machine learning algorithms to provide insights to members on a wide range of topics. As part of our production data science team, you'll work with MLOps engineers to create and maintain robust services that host data science algorithms. RESPONSIBILITIES: * Develop statistical and machine learning models to solve complex problems with data of varying structures * Conduct research on specific health and physiological problems and integrate clinical research into the development of algorithms * Productionize models and algorithms, monitor production service in the field * Work with software engineers and MLOps engineers to stand up production backend applications in Python that pass data through inference pipelines. QUALIFICATIONS: * Bachelor's Degree in Statistics, Data Science, Applied Mathematics, Artificial Intelligence, Computer Science, or a related field * 1+ years of full-time professional experience in a related area * 2+ years experience applying advanced machine learning and statistical techniques * Strong python programming skills and substantial experience with scientific python packages * A strong interest in improving health and well-being through wearable technology * Preferred Qualification: Experience working with processed physiological time series data such as that from PPG, ECG, or EEG sensors * Preferred Qualification: Experience deploying services and maintaining live code through logging and monitoring within a production environment * Preferred Qualification: Knowledge of women's health and physiology, including reproductive health, menstrual cycles, and related biometrics * Preferred Qualification: Knowledge of software development processes and the software lifecycle. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.