1

Sr Data Scientist Jobs in Basking Ridge, NJ (NOW HIRING)

Senior Data Scientist

Manhattan, NY · On-site

$130K - $195K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a Senior Data Scientist who is excited to build ML products that shape business strategy, optimize content, inform marketing investment decisions, and enhance the user experience. You ...

They are seeking a Senior Data Scientist with extensive experience in machine learning algorithms and strong skills in Text Mining and Natural Language Processing. Responsibilities : • 10 to 15 ...

Your Role: We're looking for a Senior Data Scientist, Product to help shape Alpaca's products through rigorous product analytics, experimentation, and data-informed strategy. You'll be a senior ...

... a Senior Data Scientist to come on board and lead this ambitious initiative. If applying data mining techniques, doing statistical analysis, and building high quality prediction systems sounds like ...

PayPal, Inc. seeks Sr Data Scientist in New York, NY Job Duties: Conduct large-scale data mining and modeling to transform raw data into actionable insights that help mitigate risk. Combine data ...

Sr Data Scientist

New York, NY · On-site

  • Medical

  • PTO

PayPal, Inc. seeks Sr Data Scientist in New York, NY Job Duties: Conduct large-scale data mining and modeling to transform raw data into actionable insights that help mitigate risk. Combine data ...

Senior Data Scientist

New York, NY · On-site

$225K - $250K/yr

  • Medical

  • Dental

  • Vision

  • PTO

About the Role Adonis is adding a new Senior Data Scientist to join our growing DS/ML team. You'll work across the modeling lifecycle, from exploratory analysis to production on real claims data ...

iSoftStone , Inc. is seeking a Senior Data Scientist t o Join our Team ! *This is a Hybrid Role in the New York City Metro Area * **Client Site Travel Required - Up to 25% ** ** * Candidates must ...

New

Senior Data Scientist

New York, NY · Hybrid

$130K - $150K/yr

iSoftStone, Inc. is seeking a Senior Data Scientist to Join our Team! *This is a Hybrid Role in the New York City Metro Area* **Client Site Travel Required - Up to 25%** ***Candidates must have ...

Senior Data Scientist

Manhattan, NY · Hybrid

$130K - $150K/yr

iSoftStone, Inc. is seeking a Senior Data Scientist to Join our Team! *This is a Hybrid Role in the New York City Metro Area* **Client Site Travel Required - Up to 25%** ***Candidates must have ...

As a Senior Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of ...

We're looking for a Senior Data Scientist (Technical Level 4) to join our Data team. You'll be a strategic partner to Product, Growth, and Marketing-turning ambiguous business questions into rigorous ...

Senior Data Scientist

New York, NY · On-site

$177K - $232K/yr

About the Position As a Senior Data Scientist at Formation Bio, you will be at the forefront of revolutionizing drug development through AI and advanced analytics. In this role, you'll lead crucial ...

As a Senior Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of ...

Senior Data Scientist

New York, NY · On-site

$127K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Roku is seeking a Senior Data Scientist to join the Core Analytics team and support the user setup and onboarding product area. In this role, you will leverage data analytics to improve onboarding ...

Showing results 41-60

Sr Data Scientist information

See Basking Ridge, NJ salary details

$42.8K

$146.8K

$207.1K

How much do sr data scientist jobs pay per year?

As of Aug 18, 2026, the average yearly pay for sr data scientist in Basking Ridge, NJ is $146,813.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,100.00 and $171,600.00 per year, depending on experience, location, and employer.

What does a Sr Data Scientist do?

A Sr Data Scientist is responsible for analyzing complex data sets to extract meaningful insights and guide business decision-making. They design and implement advanced machine learning models, lead data-driven projects, and collaborate with cross-functional teams. In addition to technical tasks, Sr Data Scientists often mentor junior team members and play a key role in setting data strategy within the organization.

What are the key skills and qualifications needed to thrive as a Sr Data Scientist?

To thrive as a Sr Data Scientist, you need advanced knowledge of statistics, machine learning, and data analysis, typically backed by a degree in a quantitative field and several years of relevant experience. Expertise in programming languages like Python or R, experience with big data tools (e.g., Spark, Hadoop), and familiarity with cloud platforms or relevant certifications are commonly required. Strong problem-solving abilities, effective communication, and the ability to lead and mentor teams set standout professionals apart. These skills ensure that Sr Data Scientists can extract actionable insights from complex data, drive impactful projects, and support organizational decision-making.

How does a Sr Data Scientist typically collaborate with cross-functional teams within an organization?

A Sr Data Scientist often works closely with product managers, engineers, and business stakeholders to define project goals and translate business needs into analytical solutions. They play a key role in guiding junior data scientists and sharing insights with non-technical team members through clear communication and data visualization. Collaboration is integral, as projects frequently require input from different departments to ensure that data-driven solutions align with overall business strategies and technical feasibility. This cross-functional teamwork helps drive impactful results and fosters a culture of data-informed decision making.

What is the difference between Sr Data Scientist vs Data Analyst?

AspectSr Data ScientistData Analyst
Required CredentialsBachelor's/Master's/PhD in Data Science, Statistics, or related fields; experience with machine learningBachelor's degree in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL
Work EnvironmentCollaborates with data science teams, develops models, and interprets complex dataPrepares reports, visualizes data, and supports decision-making
Employer & Industry UsageTech companies, finance, healthcare, and large enterprisesRetail, marketing, finance, and smaller organizations

The main difference between a Sr Data Scientist and a Data Analyst lies in their responsibilities and skill levels. Sr Data Scientists focus on building advanced models and algorithms, often requiring more technical expertise and experience with machine learning. Data Analysts primarily handle data cleaning, reporting, and visualization to support business decisions. Both roles are essential but serve different functions within data teams.

What are popular job titles related to Sr Data Scientist jobs in Basking Ridge, NJ?

For Sr Data Scientist jobs in Basking Ridge, NJ, the most frequently searched job titles are:

What job categories do people searching Sr Data Scientist jobs in Basking Ridge, NJ look for?

The top searched job categories for Sr Data Scientist jobs in Basking Ridge, NJ are:

What cities near Basking Ridge, NJ are hiring for Sr Data Scientist jobs?

Cities near Basking Ridge, NJ with the most Sr Data Scientist job openings:

Senior Data Scientist - Experimental Design

Spartan Technologies, Inc.

West New York, NJ • On-site

Full-time

Re-posted 7 days ago


Job description

Senior Data Scientist - Experimental Design
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