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Senior Remote Data Science Jobs (NOW HIRING)

Merck & Co.

Senior Specialist, Data Science

Rahway, NJ · On-site +1

Senior Data Scientist for Clinical Data Science Realization Team in Rahway - About us - We are a ... remote teammates- Proficient in Python or R- - - Required Skills: Animal Vaccination, Business ...

MSD

Senior Specialist, Data Science

Rahway, NJ · On-site +1

Senior Data Scientist for Clinical Data Science Realization Team in Rahway About us We are a global ... Self-driven and able to work independently while staying closely aligned with remote teammates

LexisNexis

Manager Data Science

Raleigh, NC · On-site +1

... for remote locations. ** Are you looking to develop your Data Scientist career? Do you enjoy ... Have substantial experience in a senior data scientist role * Have experience in leading complex ...

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How much do senior remote data science jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for senior remote data science in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Age is not a barrier to becoming a senior remote data scientist, as the field values skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant certifications, programming skills, and domain knowledge, making age less relevant than technical competence and adaptability.

What is the 80 20 rule in data science?

In data science, the 80/20 rule suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often focus on the most impactful variables or tasks to optimize model performance and efficiency.

What is the difference between Senior Remote Data Science vs Data Analyst?

AspectSenior Remote Data ScienceData Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with programming languages like Python or RBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentRemote, collaborative teams, often involved in complex modeling and predictive analyticsRemote or on-site, focused on data reporting, cleaning, and basic analysis
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Senior Remote Data Science roles typically require advanced technical skills and involve complex modeling, whereas Data Analysts focus on data reporting and visualization. Both roles can be remote and are used across various industries, but Data Analysts generally have less emphasis on machine learning and predictive modeling.

Can a data scientist work fully remote?

Yes, many data scientist roles are fully remote, especially in companies that prioritize flexible work arrangements. Remote work for data scientists often requires strong communication skills, proficiency with collaboration tools, and the ability to work independently while managing data analysis, modeling, and reporting tasks remotely.

How to make $100,000 a year working from home?

A senior remote data scientist can earn $100,000 or more annually by gaining advanced skills in machine learning, data analysis, and programming languages like Python or R. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
More about Senior Remote Data Science jobs
What cities are hiring for Senior Remote Data Science jobs? Cities with the most Senior Remote Data Science job openings:
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What job categories do people searching Senior Remote Data Science jobs look for? The top searched job categories for Senior Remote Data Science jobs are:
Senior Remote Data Science jobs near you
Infographic showing various Senior Remote Data Science job openings in the United States as of June 2026, with employment types broken down into 4% Internship, 84% Full Time, 6% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $118,171 per year, or $56.8 per hour.
Senior Data Scientist *** Direct End Client ***

Senior Data Scientist *** Direct End Client ***

Projas Technologies, LLC

San Diego, CA • On-site, Remote

Other

Posted 13 days ago

Job description

Job Title: Senior Data Scientist Product & Marketing Analytics

Job Description:
Do you thrive on turning complex data into actionable insights? Are you passionate about influencing product, marketing, and business strategy through data? We re looking for a Senior Data Scientist to join a high-impact team focused on driving top-of-funnel growth for a suite of digital service offerings.

This role sits at the intersection of data science, product strategy, marketing analytics, and customer insights. You will work cross-functionally with Product, Marketing, Sales, Customer Success, Engineering, and Finance teams to uncover new opportunities and implement scalable data-driven solutions that accelerate business growth.

Key Responsibilities:

  • Collaborative Problem Solving: Work closely with stakeholders to identify business problems, formulate hypotheses, and scope data science projects with measurable ROI.

  • Analytics & Business Insights: Analyze large-scale datasets to extract insights that influence product development, marketing campaigns, customer segmentation, and strategic planning.

  • Experimentation & Testing: Design and evaluate A/B tests and multivariate experiments to measure the impact of new features and marketing initiatives.

  • Predictive Modeling: Develop and deploy machine learning models and statistical algorithms to support personalization, targeting, and optimization strategies.

  • Data Visualization & Storytelling: Create intuitive dashboards and reports to track performance metrics and effectively communicate findings to technical and non-technical stakeholders.

  • Data Infrastructure & Quality: Partner with data engineering teams to improve data pipelines, define tracking requirements, and ensure high data integrity.

  • Best Practices & Standards: Promote reproducibility, rigorous testing, and high code quality across the data science organization.

Qualifications:

  • 5 7 years of experience in data science, analytics, or quantitative roles within tech, fintech, SaaS, or digital marketing domains.

  • Proficient in SQL and Python with experience using libraries such as pandas, scikit-learn, statsmodels.

  • Strong statistical background, including A/B testing, causal inference, regression, and uplift modeling.

  • Experience with marketing analytics, funnel optimization, or growth experimentation is a plus.

  • Skilled in data visualization using Tableau, Looker, or similar tools.

  • Proven ability to communicate technical results to executive and non-technical audiences.

  • Bachelor's degree in a quantitative field required; Master's or Ph.D. in Data Science, Statistics, Computer Science, Economics, or related discipline preferred.

  • Comfortable working in cross-functional, matrixed environments.


data science, senior data scientist, product analytics, marketing analytics, A/B testing, SQL, Python, machine learning, data visualization, predictive modeling, business insights, growth marketing, causal inference, SaaS, fintech, customer segmentation, uplift modeling, funnel optimization, dashboarding, experimentation, data storytelling, pandas, scikit-learn, Tableau, Looker, digital marketing, quantitative analysis, remote data science job

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