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

Senior Data Scientist

Manhattan, NY ยท On-site

$130K - $195K/yr

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 : โ€ข 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 ...

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 ยท On-site

$225K - $250K/yr

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 ...

Senior Data Scientist

New York, NY ยท 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 ...

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

Manhattan, NY ยท 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 ...

New

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 ยท 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 ยท On-site

$127K - $170K/yr

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

Senior Data Scientist information

See Basking Ridge, NJ salary details

$42.8K

$146.8K

$207.1K

How much do senior data scientist jobs pay per year?

As of Aug 17, 2026, the average yearly pay for senior 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 is a senior data scientist?

A senior data scientist does complex data analysis. Job duties include gathering data and writing reports that can help people make decisions. In some cases, they may offer machine learning which is a way to help computers process and understand data. A senior data scientist may also be asked to formulate an algorithm to solve work problems. You need statistics and programming knowledge to be successful in this career.

What does a senior data scientist do?

A Senior Data Scientist leads advanced analytical projects, utilizing statistical modeling, machine learning, and data mining techniques to extract insights from large datasets. They collaborate with cross-functional teams to identify business opportunities, design predictive models, and communicate findings to stakeholders. In addition to technical expertise, they often mentor junior data scientists, help define data strategies, and ensure best practices in data analysis and model deployment.

What are the key skills and qualifications needed to thrive as a senior data scientist, and why are they important?

To thrive as a Senior Data Scientist, you need advanced expertise in statistics, machine learning, data analysis, and programming, typically supported by a degree in a quantitative field and several years of experience. Familiarity with tools like Python, R, SQL, cloud platforms, and machine learning frameworks, as well as relevant certifications such as AWS Certified Machine Learning or TensorFlow Developer, is highly valuable. Strong problem-solving abilities, communication skills, and leadership qualities help in translating data insights into actionable business strategies and mentoring junior team members. These skills and qualities are crucial for driving impactful data-driven decisions and fostering innovation within organizations.

What are some of the main challenges senior data scientists face when leading cross-functional projects?

Senior Data Scientists often encounter challenges such as aligning project goals across diverse teams, managing expectations of non-technical stakeholders, and ensuring data quality and accessibility. Balancing long-term research initiatives with immediate business needs can also be demanding. Effective communication, project management skills, and the ability to translate complex findings into actionable insights are essential for overcoming these hurdles and driving successful outcomes.

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

AspectSenior Data ScientistData Analyst
Required CredentialsMaster's or PhD in Data Science, Statistics, or related fieldBachelor's degree in related field, often with certifications
Work EnvironmentAdvanced analytics, modeling, and machine learning projectsData reporting, visualization, and basic analysis
Employer & Industry UsageTech, finance, healthcare, and large enterprisesRetail, marketing, small to medium businesses

While both roles involve working with data, Senior Data Scientists focus on complex modeling and predictive analytics, whereas Data Analysts primarily handle data reporting and visualization. The Senior Data Scientist role requires advanced technical skills and higher education, making it suitable for more complex projects in larger organizations.

What is a senior data scientist's salary?

A senior data scientist's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, statistical analysis, and proficiency with tools like Python or R can influence compensation levels.
More about Senior Data Scientist jobs

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The most popular types of Data Scientist jobs in Basking Ridge, NJ are:

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

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

Infographic showing various Senior Data Scientist job openings in Basking Ridge, NJ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 58% In-person, and 42% Remote job distribution, with an average salary of $146,813 per year, or $70.6 per hour.

Senior Data Scientist - Experimental Design

Spartan Technologies, Inc.

West New York, NJ โ€ข On-site

Full-time

Re-posted 6 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 โ€ข 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

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