Post job

Senior data scientist jobs in White Plains, NY

- 100 jobs
All
Senior Data Scientist
Data Engineer
Biostatistician
Data Scientist
Data Modeler
  • Senior Marketing Data Scientist

    Indeed 4.4company rating

    Senior data scientist job in Stamford, CT

    **Our Mission** As the world's number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers. (*Comscore, Total Visits, March 2025) **Day to Day** At Indeed, our mission is to _Help People Get Jobs_ . We are seeking a visionary Senior Marketing Data Scientist to define and drive our data science endeavors for Indeed's Marketing organization.The Marketing Data Science and Business Intelligence (MDSBI) organization partners with Marketing and collaborates across the SMB, Job Seeker, Brand, Enterprise, and Global Marketing teams. Your role will entail shaping and executing Indeed's AI strategy for Marketing measurement and driving optimal allocation and returns on our Marketing spend. You will guide our organization in pursuing the strategy and, through innovation, make a meaningful impact on the lives of millions of people who use Indeed every day. As AI technology, Marketing and job markets evolve rapidly, your role will be essential in shaping the future of acquisition for both job seekers and employers. **Responsibilities** + Build and improve all components of our Marketing measurement framework including Marketing Mix models, Multi-Touch attribution and Incrementality testing. + Mentor and grow other data scientists, data engineers and Machine Learning Engineers across teams. + Communicates how campaigns, campaign measurement and business outcomes can be transformed with Machine Learning (ML) and AI across the broad organization + Partner with cross-functional teams to implement data-driven solutions that enhance user and marketer experiences + Foster external partnerships, stay updated with industry trends, and ensure our data practices remain at the forefront of technological advancements **Skills/Competencies** + Bachelor's Degree in Computer Science, Mathematics, Statistics + 7+ years of experience in data science, analytics, Machine Learning or a related field + Prior success in deploying impactful Machine Learning solutions to large-scale production systems, while engaging across teams + A deep understanding of machine learning, statistical modelling, and predictive analytics. + Deep understanding of the complexities and tradeoffs of leveraging/deploying ML/AI at scale and experience using LLMs + Proven ability to translate complex data findings into actionable business strategies and experience in collaborating with marketing or product teams to drive business growth + Experience communicating and influencing marketing, technical, and business direction across all levels of a large organization + Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.) **Salary Range Transparency** US Remote 154,000 - 224,000 USD per year Austin Metro Area 154,000 - 224,000 USD per year NYC Metro Area 171,000 - 247,000 USD per year Seattle Metro Area 164,000 - 239,000 USD per year San Francisco Bay Area 180,000 - 260,000 USD per year **Salary Range Disclaimer** The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. **Benefits - Health, Work/Life Harmony, & Wellbeing** We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company's 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at **************************************** **Equal Opportunities and Accommodations Statement** Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We're proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds. Indeed provides reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please visit ********************************************** If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview. For more information about our commitment to equal opportunity/affirmative action, please visit our Careers page (******************************** **Inclusion & Belonging** Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we're committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity. We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment. Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome. **Indeed's Employee Recruiting Privacy Policy** Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site's user and privacy policy found at **************************** , we also want to make you aware of our recruitment specific privacy policy found at ****************************/indeed-jobs . **Agency Disclaimer** Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening. **Reference ID:** **46205** **The deadline to apply to this position is [12/5/2025]. Job postings may be extended at the hiring team's discretion based on applicant volume.** 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. Reference ID: 46205
    $102k-131k yearly est. 49d ago
  • Senior Data Scientist - Experimental Design

    Spartan Technologies

    Senior data scientist job in West New York, NJ

    We seek a Senior Data Scientist (Experimental Design) to join our client's Data Science Lab in a Hybrid role (2 days a week in Office). This is a Direct Hire opportunity. Hybrid Office locations: New York, Holmdel, Stamford, Bethlehem, Pittsfield Your Job As a Senior Data Scientist, you will be responsible for developing advanced data science solutions leveraging machine learning and artificial intelligence to drive enterprise-wide innovation. You will collaborate with senior executives on high-impact, high-visibility projects to deliver AI/ML solutions and create value from our data and analytic products. Your responsibilities will include developing test and learn capabilities, designing and executing experiments, creating statistical and AI/ML models, and conducting A/B testing. The Work Develop Enterprise Test and Learn Capabilities Investigating the current state of the art of experimentation practices and causal inferencing/ML techniques to identify opportunities for upscaling the methodology best practices Develop and execute advanced data-driven experiments to optimize various aspects of client's business Create test hypothesis, experiment design including KPI selection, and collect and analyze data Develop statistical and AI/ML models to analyze experimental data and derive actionable insights Apply statistical methods to assess the reliability and significance of experimental results Conduct A/B testing, multivariate tests, and other experimental methodologies to optimize customer experience, product features, marketing campaigns, and other business objectives Organize and manage data to extract insights that can be further incorporated into solution/model • Support use case development that includes initial data exploration, project/sample design, reception and processing of data, performing analysis and modeling to creation of final report/presentation Data wrangling/data matching/ETL to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasets Utilize advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needs Identify source data and data quality checks both in model/solution development and in production Package model/solution and deployment in cooperation with Data Engineers and MLOps Develop Deep Learning/Large Language Model/Generative AI capabilities Map and mine unstructured data such as insurance contracts, medical records, sale notes, and customer servicing logs AI/ML solutions include but not limited to enhancing underwriting risk assessment, claims auto adjudication, and customer servicing Contribute to the overall Data Science organization Collaborate with cross-functional teams of other Data Science, Data Engineering, Business groups Contribute to standardization of Data Science tools, processes, and best practices Qualifications Combination of education in Statistics, Computer Science, Engineering, Applied mathematics or related field AND professional experience in Data Science or Data Analysis equaling either: PhD with 2+ years professional experience Master's degree with 4+ years professional experience 3+ years of hands-on ML modeling/development experience Strong theoretical foundations in probability & statistics, and causal inferencing techniques Proven expertise in setting up hypotheses to assess consumer behavior, in designing, implementing and deploying tests Strong programming skills in Python including PyTorch and/or Tensorflow Solid background in algorithms and a range of ML models Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level Excellent analytical and problem-solving abilities with superb attention to detail Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success Nice to Have Experience in the insurance industry Experience with big data technologies such as Hadoop, Spark, and/or cloud computing Knowledge of Agile development methodology Experience with data visualization tools such as Tableau, QlikView, and/or D3.js #DataScience #MachineLearning #ExperimentalDesign #AI #Python #PyTorch #Tensorflow #Algorithms #MLModeling #DataEngineering #DataWrangling #ETL #DataMatching #DeepLearning #LargeLanguageModel #GenerativeAI #InsuranceIndustry #BigData #Hadoop #Spark #CloudComputing #Agile #DataVisualization #Tableau #QlikView #D3js
    $90k-125k yearly est. 60d+ ago
  • Data Scientist

    Mindlance 4.6company rating

    Senior data scientist job in Franklin Lakes, NJ

    Bachelors or Master's degree with specialization in Computer Science, Information Systems, Mathematics, Statistics or other quantitative disciplines Excellent ability to query large datasets using SQL queries and working with databases Excellent in programming languages such as Java, Python, etc. Experience in data extraction and processing, using MapReduce, Pig, Hive, etc. Proficient programming skills using SAS and/or R Knowledge of building and applying machine learning or predictive modeling Strong problem solving skills Exceptional ability to communicate and present findings clearly to both technical and non-technical audiences Excellent interpersonal and collaboration skills Additional Information Thanks & Regards, Praveen K. Paila ************
    $77k-107k yearly est. 22h ago
  • Data Scientist - Early Career (USA)

    Trexquant Investment 4.0company rating

    Senior data scientist job in Stamford, CT

    Job Description Trexquant actively trades multiple asset classes, including global equities, futures, corporate bonds, options, and foreign exchange. Data is at the core of everything we do and we are looking for individuals who are passionate about working with data and are curious about how it is transformed into robust and profitable predictive models. As a data scientist, you will specialize in one of these asset classes, becoming the go-to expert for all data-related matters within that domain. This is a unique opportunity to lead the data efforts for a specific asset class and make a direct impact on the firm's trading strategies. Responsibilities Collaborate closely with strategy and machine learning teams to identify predictive signals and help develop models using relevant data variables. Evaluate and explore new datasets recommended by researchers and partners. Develop deep familiarity with datasets in your asset class by engaging with data vendors and attending data conferences. Stay up to date with advancements in data science and machine learning techniques relevant to quantitative investing. Requirements Bachelor's, Master's, or Ph.D. in Mathematics, Statistics, Computer Science, or a related STEM field. Experience in data science, with a focus on quantitative analysis and model development. Strong quantitative and analytical skills, with a deep understanding of statistical modeling and data-driven problem solving. Proficient in Python, with experience using relevant libraries for data analysis, machine learning, and numerical computing. Benefits Competitive salary plus bonus based on individual and company performance. Collaborative, casual, and friendly work environment. PPO Health, dental and vision insurance premiums fully covered for you and your. dependents. Pre-tax commuter benefits. Weekly company meals. Trexquant is an Equal Opportunity Employer
    $79k-115k yearly est. 28d ago
  • Data Scientist - Artificial Intelligence

    IBM 4.7company rating

    Senior data scientist job in Paramus, NJ

    **Introduction** A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. **Your role and responsibilities** As an Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: * Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects * Writing programs to cleanse and integrate data in an efficient and reusable manner * Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors * Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. * Evaluating modelling results and communicating the results to technical and non-technical audiences. * This Job can be Performed from anywhere in the US. **Required technical and professional expertise** * Strong fundamentals in Mathematics and Computer Science (algorithms) * You're proficient at least one of the statistical programming language such as R, Python, Scala or SAS, SPSS, Matlab. * You have a basic understanding of experience with predictive/prescriptive modeling skills * You have strong technical and analytical abilities, a knack for driving impact and growth, and some experience with programming/scripting in a language such as Java or Python. * You're great at solving problems by looking at things differently, debugging, troubleshooting, and designing & implementing solutions to complex technical issues. This Job can be Performed from anywhere in the US. **Preferred technical and professional experience** * You thrive on teamwork and have excellent verbal and written communication skills. * You have an interest in, understanding of, or experience with Design Thinking and Agile Development Methodologies * You have a basic understanding of Cloud (AWS, Azure, etc) IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
    $79k-107k yearly est. 1d ago
  • Biostatistician

    Artech Information System 4.8company rating

    Senior data scientist job in Woodcliff Lake, NJ

    LanceSoft is a nationally certified Minority Business Enterprise (MBE) that has established itself as a pioneer in providing highly scalable, cost-effective workforce solutions to a diverse set of customers across various industries in the United States. Headquartered in Virginia, LanceSoft currently operates out of several locations in the US and Canada. Summary: Title: Manager, Biostatistician Location: Woodcliff Lake, NJ Duration: 12 months Job Description: Work with the clinical study team on study design, development and/or review of clinical study protocols. Contribute to clinical trial design, protocol concept sheet and protocol development Participate study related activities and provide statistical support such as reviewing Case Report Form (CRF) and guidance, validating randomization scheme and developing Study Quality Surveillance Plan (SQS), reviewing Independent Radiology Review Committee Charter and data transfer plan, etc. Develop and/or review statistical documents and deliverables for clinical trials including Statistical Analysis Plan (SAP) for individual studies and integrated summaries of drug efficacy and safety, Table, Listing and Graph (TLG) shells, statistical validation plan, Data Set Specification (Rule Book), Data Monitoring Committee Charter and interim analysis plan, Clinical Study Report (CSR) and others Work with clinical data managers on design/review of case report form, data transfer specification, edit check specification, and participation in user acceptance testing (UAT); generate/review data tables/listings and coordinate data review meetings during the course of the study to ensure data quality. Oversee programming activities, perform quality assurance checks on internally or externally produced SAS tables, listings, and figures, and ensure the quality of deliverables. Perform post-hoc statistical analyses as needed. May work on submission teams as a statistician and/or a programmer. Generate and QC outputs for publications; review publication (abstract/manuscripts) to ensure accuracy, quality and soundness of statistical methodologies Will serve as lead Statistician on complex trials and across multiple studies. Project work including participating in the development of Clinical Development Plans (CDPs) and the protocol development process, developing and implementing Statistical Analysis Plans (SAPs), supervising CROs and interfacing with co-promoters, attending IPT meetings, consulting with clinical or regulatory affairs groups on strategic issues related to compound development, study designs, analysis, resource needs and future plans. Managing non-project work including infrastructure development initiatives and involvement in committees working to develop SOPs and SWPs to improve quality, efficiency and timeliness of work processes. Facilitate teams to identify issues related to biostatistics and propose solutions; manage day-to-day biostatistics operations and help to develop resource allocation to execute biostatistics initiatives as needed. QUALIFICATIONS: Must have a MS in Biostatistics/Statistics with at least 5 years of experience or a PhD in Biostatistics/ Statistics with at least 4 years of experience in the pharmaceutical, CRO or biotech industry. Strong SAS programming skills. Oncology experience is required. Ability to effectively work on multiple projects Good organization, time management and attention to detail skills needed to work in a stressful environment under tight deadlines while maintaining focus on details and quality. Applies good judgment and leads problem solving within the team Familiar with oncology clinical trial Phase I-III design and survival analysis, submission experience will be plus. Additional Information Regards, Anuj Mehta ************
    $76k-104k yearly est. 22h ago
  • OFSAA data modeler

    Tectammina

    Senior data scientist job in Norwalk, CT

    At least 3-7 years of relevant experience in OFSAA for Banking Industry Strong Functional knowledge on Financial Risk management, MRM, Liquidity risk, Basel regulation Exposure to at least one risk management product in BFS space Ability to effectively liaise with multiple stakeholders both from business and IT. Ability to analyze, define and document requirements related to data, workflow, risk process, interfaces with other systems Ability to test the system thoroughly and ensure complete compliance with expected requirements. Ability to manage change request and perform impact analysis on the existing requirement. Ability to ensure software quality before release into production Strong requirement collection, analysis and documentation skills Exposure to use of requirement management tools Strong knowledge on Data governance, data quality, Data Profiling & Data analysis related to Regulatory Reporting OFSAA Implementation experience for regulatory reporting like Model risk management, Liquidity Risk, Basel etc. OFSAA Data Model overview Knowledge of technical tool stack: Informatica, Exadata, OBIEE etc. Good exposure to Data level testing, Data validation, Quality & SIT Working knowledge of BI applications Desirable Skill Set : ETL/Informatica Qualifications Bachelor or higher Additional Information Job Status: Permanent Share the Profiles to ***************************** Contact: ************ Keep the subject line with Job Title and Location
    $79k-110k yearly est. Easy Apply 22h ago
  • Biostatistician

    Nymc

    Senior data scientist job in Valhalla, NY

    The biostatistician will support clinical epidemiology and biomedical research for the Campus Collaborative Research Core (CCRC) program and the Biostatistics Core at New York Medical College for both the college and Touro University. The biostatistician will design studies, collect, and analyze data from medical experiments, interpret the results of the analyses, and collaborate in writing articles to disseminate research findings. They use the quantitative tools of mathematics, statistics, and computing in their day-to-day work. Responsibilities Work with SHSP Faculty to plan direction and support for incoming projects. Contribute to planning, data assessment, data analysis, and interpretation of studies supported by Campus Collaborative Research and the Biostatistics Core. Guide study design, sample size calculation, randomization procedures, and data analysis methods, perform statistical analyses, and interpret results for researchers. Generate figures and statistical tables for conference presentations and journal publications. Ensure adherence to statistical standards and best practices in research methodologies. Assist in writing and reviewing statistical sections of research proposals, manuscripts, and grant applications. Assist in the Myocarditis study, generating descriptive and analytical data, performing statistical analysis, and interpreting results for researchers Qualifications Education: M.S. in Statistics, M.P.H. in Epidemiology or another quantitative field. Technical/Computer skills: Demonstrated expertise in statistical methodologies, study design, and data analysis. Proficiency in a statistical software package, such as R, SAS, or STATA. Microsoft Office Suite - Word, Excel, PowerPoint, Outlook Prior experience: Minimum of two years of related professional experience Other Skills: Excellent communication and interpersonal skills, with the ability to effectively convey complex statistical concepts to diverse audiences. Strong organizational skills and the ability to manage multiple projects simultaneously. Commitment to fostering a collaborative and inclusive learning environment. Minimum Salary USD $96,000.00/Yr. Maximum Salary USD $120,000.00/Yr.
    $96k-120k yearly Auto-Apply 60d+ ago
  • Biostatistician

    Lancesoft 4.5company rating

    Senior data scientist job in Woodcliff Lake, NJ

    Work closely with clinicians, programmers, and publication managers to generate and QC outputs for publications; review publication (abstract/manuscripts) to ensure accuracy, quality and soundness of statistical methodologies; coordinate internal resource utilization for publication and generate activities metrics for management review. • Work with the clinical study team on study design, development and/or review of clinical study protocols. • Develop and/or review statistical analysis plans, including Table/listing/figure shells, and final study report for clinical studies; perform post-hoc statistical analyses as needed. • Work with the project statistician and clinical data managers on design/review of case report form, data transfer specification, edit check specification, and participation in user acceptance testing (UAT); generate/review data tables/listings and coordinate data review meetings during the course of the study to ensure data quality. • Oversee CRO programming activities, perform quality assurance checks on internally or externally produced SAS tables, listings, and figures, ensure the quality of CRO deliverables. • May work with the Health Outcome team on the design/analysis/validation of projects. • May work on submission teams as a statistician and/or a programmer. Qualifications QUALIFICATIONS NEEDED: • Must have a MS in Biostatistics/Statistics with at least 5 years of experience or a PhD in Biostatistics/ Statistics with at least 3 years of experience in the pharmaceutical, CRO or biotech industry. • Strong SAS programming skills. • Oncology experience is required (min 1 year) • Good technical writing skills. • Good communication skills (verbal and written). • Strong teamwork ability/commitment and individual initiative. • Strong organizational skills with ability to effectively manage multiple projects. Additional Information • Must have a MS in Biostatistics/Statistics with at least 5 years of experience or a PhD in Biostatistics/ Statistics with at least 3 years of experience in the pharmaceutical, CRO or biotech industry.
    $78k-99k yearly est. 22h ago
  • Data Modeler - Long term contract

    Pyramid It

    Senior data scientist job in Somers, NY

    Pyramid is a leading Information Technology Consulting services company headquartered in metropolitan Atlanta, GA with prime emphasis on the following service offerings: • Staff Augmentation • Lifecycle IT solutions o Application Development & Support o Outsourced Testing • Mobile Development and Test Automation The company was incorporated in the State of Georgia in 1996 and has grown to over 2500 Information Technology consultants serving clients across the United States and around the globe. In addition to Atlanta, Pyramid has offices worldwide including Charlotte, NC; Chicago, IL; Dallas, TX; Richmond, VA; San Francisco, CA and Somerset, NJ in the United States, London in the United Kingdom, Singapore, and three offices in India (New Delhi, Hyderabad and Chandigargh). Pyramid has been ranked by Staffing Industry Analysts as one of the largest diversity staffing firms specializing in IT and among the fastest growing U.S. staffing firm overall. In addition, Pyramid is a previous winner of the National Minority Supplier Development Council's Supplier of the Year and has won numerous Supplier of the Year awards from the Georgia Minority Supplier Development Council. see less Specialties IT Staff Augmentation, Application Management Services, Enterprise Project Solutions, Mobile Development, Mobile Test Automation, Product and Engineering Services, Enterprise Mobility, Test Automation, QA - Manual and Automated Testing, QA Strategy Website ************************ Industry Information Technology and Services Type Privately Held Company Size 1001-5000 employees Founded 1996 Job Description Location - Somers, NY / Plano, TX Data Modeler Role supports data modeling needs for MDM/BPM Workflow project development, under the guidance of the MDM & Data Design team leads. Primary Responsibilities include: • Convert preliminary logical data model to 3rd normal form physical model • Perform data modeling for new relational database; collaborate with team lead/senior designer to create data solutions for business and systems requirements. • Adhere to, and enforce, data standards and best practices. • Attend requirements gathering meetings with team lead, senior designer, application teams, Database Administrators (DBAs), and/or business partners to understand business needs. Create Functional & Technical Documentation for all database structures. • Support application teams with data identification and analysis. • Convert logical data model to physical model and database in development environment; transition to DBAs for test and production environments. • Create and maintain Metadata, including table/column definitions. • Prepare, maintain and publish documentation, including business transformation logic (Source-to-Target Mappings), data models and data dictionary reports. Additional Information All your information will be kept confidential according to EEO guidelines.
    $81k-113k yearly est. 22h ago
  • Data Engineer - Python Programmer

    A.M. Best 4.4company rating

    Senior data scientist job in Waldwick, NJ

    * Flexible and hybrid work arrangements * Paid time off/Paid company holidays * Medical plan options/prescription drug plan * Dental plan/vision plan options * Flexible spending and health savings accounts * 401(k) retirement savings plan with a Roth savings option and company matching contributions * Educational assistance program Overview The Data Engineer is responsible for designing, building, and optimizing scalable data solutions to support a wide range of business needs. This role requires a strong ability to work both independently and collaboratively in a fast-paced, agile environment. The ideal candidate will engage with cross-functional teams to gather data requirements, propose enhancements to existing data pipelines and structures, and ensure the reliability and efficiency of data processes. Responsibilities * Focus on continued build out/improvement of the current data stores (Oracle, CEPH, and possibly MongoDB) including data access and persistence• Requirement of prior knowledge/experience with database concepts such as SQL tuning, indexes, views, stored procedures, etc• Proficient in fundamental algorithms and data structures. Server-side Python processes utilizing concurrency patterns with asyncio, mutli-processing, and threading. Also, comfortable working with Numpy, Pandas, Python collections, etc • Must handle API development using REST. Strong working knowledge of FastAPI, with a primary focus on mastering the REST protocol. Experience with gRPC and socket-based communication is a valuable plus• Mastery of typical software development life cycle and deployment processes. Experience with GIT, MS Azure DevOps, Artifactory, etc. Must be comfortable building CI/CD pipelines• Experienced in developing applications and managing systems on Red Hat Enterprise Linux (RHEL) environments Qualifications * Associate's Degree preferred with 5 to 7 years demonstrated server-side development proficiency• Bachelor's Degree preferred with 3 to 5 years demonstrated server-side development proficiency Skills * Programming Languages: Python (NumPy, Pandas, Oracle PL/SQL). Other non-interpreted languages like Java, C++, Rust, etc. are a plus. Must be proficient in the intermediate-advanced level of the language (concurrency, memory management, etc.) • Design patterns: typical GOF patterns (Factory, Facade, Singleton, etc.) • Data structures: maps, lists, arrays, etc • SCM: solid Git proficiency, MS Azure DevOps (CI/CD) • SQL: proficiency with Oracle indexes, SQL tuning, views, stored procedures, and functions • OS: majority of the development is on Redhat Linux but should be comfortable with Windows. Some Unix shell scripting may be needed from time to time • API development: must have proficiency with HTTP REST with gRPC / sockets as a plus • Comfortable working iteratively in a dynamic, flexible environment • Strong self-management skills and with a focus on timely completion of tasks • Ability to converse with technical and non-technical groups
    $99k-138k yearly est. Auto-Apply 23d ago
  • Sr Data Engineer (Risk . Finance)

    Ravin It Solutions

    Senior data scientist job in Weehawken, NJ

    Job Description Senior Data Engineer (Risk / Financial Domain) Interview - 1 Round Video + 1 F2F at client location Overall 14+ years of experience and recent 2 projects in Banking with Credit Risk, Capital Market, experience is Must. Technical Skills: Mandatory (Strong) Python, SQL server and relational database concepts, Azure Databricks, Snowflake, Scheduler (Autosys/Control-M), ETL, CI/CD We are seeking a highly skilled and experienced IT developer to join our dynamic Credit Risk Capital IT team within Credit Risk Technology Group. As a Senior IT Developer, you will play a crucial role in designing, implementing, and maintaining the application and infrastructure for Credit Risk Capital applications following regulations like SACCR, CEM etc. Responsibilities: Understand technical specifications Business requirements discussion with business analyst and business users Python/SQL Server/Snowflake/Databricks application development and system design Develop and maintain data models and schemas to support data integration and analysis. Implement data quality and validation checks to ensure accuracy and consistency of data. Execution of UT and SIT with business analysts to ensure of high-quality testing Support for UAT with business users Production support and maintenance of application platform General: Around 15 years IT industry experience Strong communication skills Agile methodology and SDLC processes Design and Architecture experience Experience working in global delivery model (onshore/offshore/nearshore) Strong problem-solving and analytical skills Self-starter, collaborative team player and works with minimal guidance
    $82k-112k yearly est. 16d ago
  • Lead Data Engineer

    Keter Environmental Services LLC 4.0company rating

    Senior data scientist job in Stamford, CT

    About Us Over the past 25 years, Waste Harmonics Keter has been at the forefront of the waste and recycling industry, delivering innovative, data-driven solutions. We help companies right-size their waste operations and get out of the waste business with industry-leading expertise, state-of-the-art waste technologies, and industry-leading customer service. Visit Waste Harmonics Keter for more information. Role Purpose The Data Engineer designs, builds, and optimizes scalable, reusable, and performance-oriented data infrastructure that supports enterprise-wide reporting and analytics needs. The role aligns with modern data platform architecture and engineering best practices to ensure long-term maintainability, flexibility, and data trust. Key Responsibilities Design, build, and maintain data pipelines to support reporting, analytics, and business intelligence. Develop and optimize scalable ETL/ELT processes using modern frameworks (e.g., dbt, Azure Data Factory, Fabric). Implement data models that support reporting and analytics needs (e.g., star schema, slowly changing dimensions). Ensure data quality, lineage, and observability for reliable business use. Collaborate with cross-functional teams to deliver integrated data solutions across the enterprise. Troubleshoot and optimize pipeline performance and SQL queries. Deliver documentation for technical workflows, transformations, and logic. Support governance by applying security, access control, and compliance standards in cloud environments. Core Competencies & Behaviors Technical Excellence: Strong understanding of data architecture, modelling, and transformation flows. Problem Solving: Able to troubleshoot complex performance issues and propose efficient solutions. Collaboration: Works effectively with analysts, engineers, and business teams to deliver end-to-end solutions. Continuous Improvement: Applies CI/CD, version control, and best practices to improve workflow efficiency. Detail Orientation: Ensures data accuracy, completeness, and consistency across systems. Adaptability: Thrives in a modern, cloud-based data environment and adapts to evolving technologies. Experience & Knowledge Experience building and maintaining cloud-based data pipelines (e.g., Azure, Snowflake, Fabric). Hands-on use of orchestration tools and ETL/ELT frameworks (dbt, ADF). Strong knowledge of data modelling principles and data architecture concepts. Experience with CI/CD pipelines, version control (e.g., Git), and modern data stack practices. Familiarity with monitoring and observability tools for pipelines. Understanding of security and access controls in cloud data platforms. Qualifications Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience). Proficiency in SQL and modern data stack tools (dbt, Snowflake, Azure Data Factory, Fabric). Strong technical documentation and communication skills. Waste Harmonics Keter Comprehensive Benefits Package Competitive Compensation Annual Bonus Plan at Every Level Continuous Learning and Development Opportunities 401(k) Retirement Savings with Company Match; Immediate Vesting Medical & Dental Insurance Vision Insurance (Company Paid) Life Insurance (Company Paid) Short-term & Long-term Disability (Company paid) Employee Assistance Program Flexible Spending Accounts/Health Savings Accounts Paid Time Off (PTO), Including birthday off, community volunteer hours and a Friday off in the summer 7 Paid Holidays At Waste Harmonics Keter , we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome candidates from all backgrounds to apply.
    $96k-137k yearly est. Auto-Apply 60d+ ago
  • Lead Data Engineer

    Waste Harmonics LLC

    Senior data scientist job in Stamford, CT

    About Us Over the past 25 years, Waste Harmonics Keter has been at the forefront of the waste and recycling industry, delivering innovative, data-driven solutions. We help companies right-size their waste operations and get out of the waste business with industry-leading expertise, state-of-the-art waste technologies, and industry-leading customer service. Visit Waste Harmonics Keter for more information. Role Purpose The Data Engineer designs, builds, and optimizes scalable, reusable, and performance-oriented data infrastructure that supports enterprise-wide reporting and analytics needs. The role aligns with modern data platform architecture and engineering best practices to ensure long-term maintainability, flexibility, and data trust. Key Responsibilities Design, build, and maintain data pipelines to support reporting, analytics, and business intelligence. Develop and optimize scalable ETL/ELT processes using modern frameworks (e.g., dbt, Azure Data Factory, Fabric). Implement data models that support reporting and analytics needs (e.g., star schema, slowly changing dimensions). Ensure data quality, lineage, and observability for reliable business use. Collaborate with cross-functional teams to deliver integrated data solutions across the enterprise. Troubleshoot and optimize pipeline performance and SQL queries. Deliver documentation for technical workflows, transformations, and logic. Support governance by applying security, access control, and compliance standards in cloud environments. Core Competencies & Behaviors Technical Excellence: Strong understanding of data architecture, modelling, and transformation flows. Problem Solving: Able to troubleshoot complex performance issues and propose efficient solutions. Collaboration: Works effectively with analysts, engineers, and business teams to deliver end-to-end solutions. Continuous Improvement: Applies CI/CD, version control, and best practices to improve workflow efficiency. Detail Orientation: Ensures data accuracy, completeness, and consistency across systems. Adaptability: Thrives in a modern, cloud-based data environment and adapts to evolving technologies. Experience & Knowledge Experience building and maintaining cloud-based data pipelines (e.g., Azure, Snowflake, Fabric). Hands-on use of orchestration tools and ETL/ELT frameworks (dbt, ADF). Strong knowledge of data modelling principles and data architecture concepts. Experience with CI/CD pipelines, version control (e.g., Git), and modern data stack practices. Familiarity with monitoring and observability tools for pipelines. Understanding of security and access controls in cloud data platforms. Qualifications Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience). Proficiency in SQL and modern data stack tools (dbt, Snowflake, Azure Data Factory, Fabric). Strong technical documentation and communication skills. Waste Harmonics Keter Comprehensive Benefits Package Competitive Compensation Annual Bonus Plan at Every Level Continuous Learning and Development Opportunities 401(k) Retirement Savings with Company Match; Immediate Vesting Medical & Dental Insurance Vision Insurance (Company Paid) Life Insurance (Company Paid) Short-term & Long-term Disability (Company paid) Employee Assistance Program Flexible Spending Accounts/Health Savings Accounts Paid Time Off (PTO), Including birthday off, community volunteer hours and a Friday off in the summer 7 Paid Holidays At Waste Harmonics Keter , we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome candidates from all backgrounds to apply.
    $84k-114k yearly est. Auto-Apply 60d+ ago
  • Tech Lead, Data & Inference Engineer

    Catalyst Labs

    Senior data scientist job in Stamford, CT

    Our Client A fast moving and venture backed advertising technology startup based in San Francisco. They have raised twelve million dollars in funding and are transforming how business to business marketers reach their ideal customers. Their identity resolution technology blends business and consumer signals to convert static audience lists into high match and cross channel segments without the use of cookies. By transforming first party and third party data into precision targetable audiences across platforms such as Meta, Google and YouTube, they enable marketing teams to reach higher match rates, reduce wasted advertising spend and accelerate pipeline growth. With a strong understanding of how business buyers behave in channels that have traditionally been focused on business to consumer activity, they are redefining how business brands scale demand generation and account based efforts. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Location: San Francisco Work type: Full Time, Compensation: above market base + bonus + equity Roles & Responsibilities Lead the design, development and scaling of an end to end data platform from ingestion to insights, ensuring that data is fast, reliable and ready for business use. Build and maintain scalable batch and streaming pipelines, transforming diverse data sources and third party application programming interfaces into trusted and low latency systems. Take full ownership of reliability, cost and service level objectives. This includes achieving ninety nine point nine percent uptime, maintaining minutes level latency and optimizing cost per terabyte. Conduct root cause analysis and provide long lasting solutions. Operate inference pipelines that enhance and enrich data. This includes enrichment, scoring and quality assurance using large language models and retrieval augmented generation. Manage version control, caching and evaluation loops. Work across teams to deliver data as a product through the creation of clear data contracts, ownership models, lifecycle processes and usage based decision making. Guide architectural decisions across the data lake and the entire pipeline stack. Document lineage, trade offs and reversibility while making practical decisions on whether to build internally or buy externally. Scale integration with application programming interfaces and internal services while ensuring data consistency, high data quality and support for both real time and batch oriented use cases. Mentor engineers, review code and raise the overall technical standard across teams. Promote data driven best practices throughout the organization. Qualifications Bachelors or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics. Excellent written and verbal communication; proactive and collaborative mindset. Comfortable in hybrid or distributed environments with strong ownership and accountability. A founder-level bias for actionable to identify bottlenecks, automate workflows, and iterate rapidly based on measurable outcomes. Demonstrated ability to teach, mentor, and document technical decisions and schemas clearly. Core Experience 6 to 12 years of experience building and scaling production-grade data systems, with deep expertise in data architecture, modeling, and pipeline design. Expert SQL (query optimization on large datasets) and Python skills. Hands-on experience with distributed data technologies (Spark, Flink, Kafka) and modern orchestration tools (Airflow, Dagster, Prefect). Familiarity with dbt, DuckDB, and the modern data stack; experience with IaC, CI/CD, and observability. Exposure to Kubernetes and cloud infrastructure (AWS, GCP, or Azure). Bonus: Strong Node.js skills for faster onboarding and system integration. Previous experience at a high-growth startup (10 to 200 people) or early-stage environment with a strong product mindset.
    $84k-114k yearly est. 17d ago
  • Principal Data Engineer for AI Platform

    Mastercard 4.7company rating

    Senior data scientist job in Harrison, NY

    **Our Purpose** _Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._ **Title and Summary** Principal Data Engineer for AI Platform About Mastercard Mastercard is a global technology company in the payments industry, connecting billions of consumers, financial institutions, merchants, governments, and businesses worldwide. We are driving the future of commerce by enabling secure, simple, and smart transactions. Artificial Intelligence is at the core of our strategy to make Mastercard stronger and commerce safer, smarter and more personal. At Mastercard, we're building next-generation AI-powered platforms to drive innovation and impact. Role: - Drive modernization from legacy and on-prem systems to modern, cloud-native, and hybrid data platforms. - Architect and lead the development of a Multi-Agent ETL Platform for batch and event streaming, integrating AI agents to autonomously manage ETL tasks such as data discovery, schema mapping, and error resolution. - Define and implement data ingestion, transformation, and delivery pipelines using scalable frameworks (e.g., Apache Airflow, Nifi, dbt, Spark, Kafka, or Dagster). - Leverage LLMs, and agent frameworks (e.g., LangChain, CrewAI, AutoGen) to automate pipeline management and monitoring. - Ensure robust data governance, cataloging, versioning, and lineage tracking across the ETL platform. - Define project roadmaps, KPIs, and performance metrics for platform efficiency and data reliability. - Establish and enforce best practices in data quality, CI/CD for data pipelines, and observability. - Collaborate closely with cross-functional teams (Data Science, Analytics, and Application Development) to understand requirements and deliver efficient data ingestion and processing workflows. - Establish and enforce best practices, automation standards, and monitoring frameworks to ensure the platform's reliability, scalability, and security. - Build relationships and communicate effectively with internal and external stakeholders, including senior executives, to influence data-driven strategies and decisions. - Continuously engage and improve teams' performance by conducting recurring meetings, knowing your people, managing career development, and understanding who is at risk. - Oversee deployment, monitoring, and scaling of ETL and agent workloads across multi cloud environments. - Continuously improve platform performance, cost efficiency, and automation maturity. All About You: - Hands-on experience in data engineering, data platform strategy, or a related technical domain. - Proven experience leading global data engineering or platform engineering teams. - Proven experience in building and modernizing distributed data platforms using technologies such as Apache Spark, Kafka, Flink, NiFi, and Cloudera/Hadoop. - Strong experience with one or more of data pipeline tools (Nifi, Airflow, dbt, Spark, Kafka, Dagster, etc.) and distributed data processing at scale. - Experience building and managing AI-augmented or agent-driven systems will be a plus. - Proficiency in Python, SQL, and data ecosystems (Oracle, AWS Glue, Azure Data Factory, BigQuery, Snowflake, etc.). - Deep understanding of data modeling, metadata management, and data governance principles. - Proven success in leading technical teams and managing complex, cross-functional projects. - Passion for staying current in a fast-paced field with proven ability to lead innovation in a scaled organization. - Excellent communication skills, with the ability to tailor technical concepts to executive, operational, and technical audiences. - Expertise and ability to lead technical decision-making considering scalability, cost efficiency, stakeholder priorities, and time to market. - Proven track leading high-performing teams with experience leading and coaching director level reports and experienced individual contributors. - Advanced degree in Data Science, Computer Science, Information Technology, Business Administration, or a related field. Equivalent experience will also be considered. Why Join Us? At Mastercard, you'll help shape the future of AI in global commerce-solving complex challenges at scale, driving financial inclusion, and reinforcing the trust and security that define our brand. You'll work with world-class talent, cutting-edge technologies, and will make a lasting impact. \#AI1 Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. **Corporate Security Responsibility** All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: + Abide by Mastercard's security policies and practices; + Ensure the confidentiality and integrity of the information being accessed; + Report any suspected information security violation or breach, and + Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. **Pay Ranges** Arlington, Virginia: $170,000 - $273,000 USD Purchase, New York: $170,000 - $273,000 USD San Francisco, California: $178,000 - $284,000 USD
    $84k-114k yearly est. 15d ago
  • Biostatistician

    Artech Information System 4.8company rating

    Senior data scientist job in Woodcliff Lake, NJ

    Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. Job Description DIRECT HIRE: Median Salary $136,600 10%-16% Bonus The Senior Manager, Biostatistics - Neuroscience will be expected to work independently with minimal supervision, serving as study statistician for clinical studies. The study statistician will be accountable for supporting protocol development and study initiation, developing SAP, TLG shells, specification of variable derivation, SQS plan and DMC charter, providing statistical and validation support for analysis datasets, statistical TLGs, performing and validating statistical analysis, independently reviewing CSRs and performing data interpretation, supporting preparation of inputs for regulatory documents, drafting responses to health authorities including execution of new analysis required for responses, and managing CROs. The immediate need is to support Phase II and III studies within the Neurology Business Group. Scope and Responsibilities: - Sets objectives, delivers results and implements policies and operational targets that have a direct impact on the work unit or operational outcome. - Work may include policy changes or recommendations. - Individual contributor with specialized knowledge. - Has an easily discernible impact on the job area and expected results. - Typically no cost center budget management responsibility. Communication: - Presents concepts, facts, and reports to mid-level internal and external clients to advise of key trends and issues. - Contact with clients and external vendors and troubleshooting routine client inquiries. May represent the organization as a prime contact for technical matters of significant complexity. - Develops SAPs, TLG shells and specifications of variable derivation - Monitoring (Not Applicable for Phase I (Clinical Pharmacology) statistician) * Develops Study Quality Surveillance Plan and monitors study conduct to proactively address issues to ensure high quality study data * Develops the Data Monitoring Committee charter in collaboration with other functions and liaises with independent statisticians. Clinical Study Report * Provides statistical and validation support for analysis datasets, statistical tables, figures and listings * Performs and validates statistical analysis * Independently reviews CSRs and performs data interpretation. * Supports preparation of inputs for regulatory documents and helps to prepare for meetings with health authorities * Drafts responses to health authorities including execution of new analysis required for responses. * Enhances the capabilities of current resources (tools, systems, vendors, etc.), technologies, and processes for the team * May manage contractors and ensure that contractors, consultants and vendors complete assigned work according to agreed timelines. * Resolves expense issues and manages costs of work teams before issues arise * Manages team finances in compliance with financial standards and guidelines * Assists the review of 3rd party (contractors, consultants and vendors) work product and deliverables to recommend approval of payment of invoices or escalate issues when appropriate. * Manages individual contributors - Manages all employee-related activities throughout the year, including performance management and development - Identifies and communicates the skills, behaviors and experiences required to develop employees - Sets goals, reviews performance and provides feedback on a regular basis. * Assists or Leads training of junior staff III. Qualifications and Experience PhD strongly preferred, but combination of education and experience may be considered in lieu of PhD Experience in clinical development biostatistics methods and processes in industry setting required Functional Technical Competency in the following: Clinical Development Plan Creation Statistical Analysis Statistical Programming Regulatory Process for Biostatistics Business Knowledge Therapeutic Area Knowledge Regulatory Knowledge Project and Resource Management Compliance Core Experiences Experience in clinical development biostatistics methods and processes in industry setting required Additional Information Best Regards, Anuj Mehta ************
    $76k-104k yearly est. 22h ago
  • Biostatistician

    Lancesoft 4.5company rating

    Senior data scientist job in Woodcliff Lake, NJ

    Work closely with clinicians, programmers, and publication managers to generate and QC outputs for publications; review publication (abstract/manuscripts) to ensure accuracy, quality and soundness of statistical methodologies; coordinate internal resource utilization for publication and generate activities metrics for management review. • Work with the clinical study team on study design, development and/or review of clinical study protocols. • Develop and/or review statistical analysis plans, including Table/listing/figure shells, and final study report for clinical studies; perform post-hoc statistical analyses as needed. • Work with the project statistician and clinical data managers on design/review of case report form, data transfer specification, edit check specification, and participation in user acceptance testing (UAT); generate/review data tables/listings and coordinate data review meetings during the course of the study to ensure data quality. • Oversee CRO programming activities, perform quality assurance checks on internally or externally produced SAS tables, listings, and figures, ensure the quality of CRO deliverables. • May work with the Health Outcome team on the design/analysis/validation of projects. • May work on submission teams as a statistician and/or a programmer. Qualifications QUALIFICATIONS NEEDED: • Must have a MS in Biostatistics/Statistics with at least 5 years of experience or a PhD in Biostatistics/ Statistics with at least 3 years of experience in the pharmaceutical, CRO or biotech industry. • Strong SAS programming skills. • Oncology experience is required (min 1 year) • Good technical writing skills. • Good communication skills (verbal and written). • Strong teamwork ability/commitment and individual initiative. • Strong organizational skills with ability to effectively manage multiple projects. Additional Information • Must have a MS in Biostatistics/Statistics with at least 5 years of experience or a PhD in Biostatistics/ Statistics with at least 3 years of experience in the pharmaceutical, CRO or biotech industry.
    $78k-99k yearly est. 60d+ ago
  • Data Platform Engineer (USA)

    Trexquant Investment 4.0company rating

    Senior data scientist job in Stamford, CT

    Job Description Trexquant is a growing systematic fund at the forefront of quantitative finance, with a core team of highly accomplished researchers and engineers. To keep pace with our expanding global trading operations, we are seeking a highly motivated and technically rigorous Data Platform Engineer to help modernize our foundational data infrastructure. As a Data Platform Engineer, you will be at the center of building the systems that ensure the quality, reliability, and discoverability of mission-critical data. Your work will directly impact the data operators and downstream consumers by creating robust tools, monitoring, and workflows that ensure accuracy, validity, and timeliness of data across the firm. Responsibilities Architect and maintain core components of the Data Platform with a strong focus on reliability and scalability. Build and maintain tools to manage data feeds, monitor validity, and ensure data timeliness. Design and implement event-based data orchestration pipelines. Evaluate and integrate data quality and observability tools via POCs and MVPs. Stand up a data catalog system to improve data discoverability and lineage tracking. Collaborate closely with infrastructure teams to support operational excellence and platform uptime. Write and maintain data quality checks to validate real-time and batch data. Validate incoming real-time data using custom Python-based validators. Ensure low-level data correctness and integrity, especially in high-precision environments. Build robust and extensible systems that will be used by data operators to ensure the health of our data ecosystem. Own the foundational systems used by analysts and engineers alike to trust and explore our datasets. Requirements A Bachelor's degree in Computer Science or a related field; advanced degree preferred. 3+ years of hands-on experience with Python in a data engineering or backend development context Experience with distributed data systems (e.g., Spark, Kafka, Airflow). Proven experience running POCs, evaluating data quality and data platform tools. Demonstrated interest and experience in low-level data reliability, correctness, and observability. Familiarity with systems-level thinking and the principles of data operations in production. Background in high-performance computing or real-time data processing is a plus. Prior experience in a quantitative or financial setting is highly desirable. Benefits Competitive salary, plus bonus based on individual and company performance. Collaborative, casual, and friendly work environment while solving the hardest problems in the financial markets. PPO Health, dental, and vision insurance premiums fully covered for you and your dependents. Pre-Tax Commuter Benefits - making your commute smoother. Trexquant is an Equal Opportunity Employer
    $95k-136k yearly est. 24d ago
  • Principal Data Engineer for AI Platform

    Mastercard 4.7company rating

    Senior data scientist job in Harrison, NY

    Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Principal Data Engineer for AI Platform About Mastercard Mastercard is a global technology company in the payments industry, connecting billions of consumers, financial institutions, merchants, governments, and businesses worldwide. We are driving the future of commerce by enabling secure, simple, and smart transactions. Artificial Intelligence is at the core of our strategy to make Mastercard stronger and commerce safer, smarter and more personal. At Mastercard, we're building next-generation AI-powered platforms to drive innovation and impact. Role: * Drive modernization from legacy and on-prem systems to modern, cloud-native, and hybrid data platforms. * Architect and lead the development of a Multi-Agent ETL Platform for batch and event streaming, integrating AI agents to autonomously manage ETL tasks such as data discovery, schema mapping, and error resolution. * Define and implement data ingestion, transformation, and delivery pipelines using scalable frameworks (e.g., Apache Airflow, Nifi, dbt, Spark, Kafka, or Dagster). * Leverage LLMs, and agent frameworks (e.g., LangChain, CrewAI, AutoGen) to automate pipeline management and monitoring. * Ensure robust data governance, cataloging, versioning, and lineage tracking across the ETL platform. * Define project roadmaps, KPIs, and performance metrics for platform efficiency and data reliability. * Establish and enforce best practices in data quality, CI/CD for data pipelines, and observability. * Collaborate closely with cross-functional teams (Data Science, Analytics, and Application Development) to understand requirements and deliver efficient data ingestion and processing workflows. * Establish and enforce best practices, automation standards, and monitoring frameworks to ensure the platform's reliability, scalability, and security. * Build relationships and communicate effectively with internal and external stakeholders, including senior executives, to influence data-driven strategies and decisions. * Continuously engage and improve teams' performance by conducting recurring meetings, knowing your people, managing career development, and understanding who is at risk. * Oversee deployment, monitoring, and scaling of ETL and agent workloads across multi cloud environments. * Continuously improve platform performance, cost efficiency, and automation maturity. All About You: * Hands-on experience in data engineering, data platform strategy, or a related technical domain. * Proven experience leading global data engineering or platform engineering teams. * Proven experience in building and modernizing distributed data platforms using technologies such as Apache Spark, Kafka, Flink, NiFi, and Cloudera/Hadoop. * Strong experience with one or more of data pipeline tools (Nifi, Airflow, dbt, Spark, Kafka, Dagster, etc.) and distributed data processing at scale. * Experience building and managing AI-augmented or agent-driven systems will be a plus. * Proficiency in Python, SQL, and data ecosystems (Oracle, AWS Glue, Azure Data Factory, BigQuery, Snowflake, etc.). * Deep understanding of data modeling, metadata management, and data governance principles. * Proven success in leading technical teams and managing complex, cross-functional projects. * Passion for staying current in a fast-paced field with proven ability to lead innovation in a scaled organization. * Excellent communication skills, with the ability to tailor technical concepts to executive, operational, and technical audiences. * Expertise and ability to lead technical decision-making considering scalability, cost efficiency, stakeholder priorities, and time to market. * Proven track leading high-performing teams with experience leading and coaching director level reports and experienced individual contributors. * Advanced degree in Data Science, Computer Science, Information Technology, Business Administration, or a related field. Equivalent experience will also be considered. Why Join Us? At Mastercard, you'll help shape the future of AI in global commerce-solving complex challenges at scale, driving financial inclusion, and reinforcing the trust and security that define our brand. You'll work with world-class talent, cutting-edge technologies, and will make a lasting impact. #AI1 Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: * Abide by Mastercard's security policies and practices; * Ensure the confidentiality and integrity of the information being accessed; * Report any suspected information security violation or breach, and * Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges Arlington, Virginia: $170,000 - $273,000 USD Purchase, New York: $170,000 - $273,000 USD San Francisco, California: $178,000 - $284,000 USD
    $84k-114k yearly est. Auto-Apply 15d ago

Learn more about senior data scientist jobs

How much does a senior data scientist earn in White Plains, NY?

The average senior data scientist in White Plains, NY earns between $82,000 and $151,000 annually. This compares to the national average senior data scientist range of $90,000 to $170,000.

Average senior data scientist salary in White Plains, NY

$111,000

What are the biggest employers of Senior Data Scientists in White Plains, NY?

The biggest employers of Senior Data Scientists in White Plains, NY are:
  1. Molina Healthcare
Job type you want
Full Time
Part Time
Internship
Temporary