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Remote Data Scientist Finance Jobs (NOW HIRING)

PatientPoint

REMOTE - Data Scientist

$101K - $175K/yr

Cincinnati OR Remote Travel Required: 2-3 times yearly Job Summary The Data Science team at PatientPoint works on business problems across the enterprise, such as provider growth, pricing, operations ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

... Finance, Insurance, and other industries. Today, we're growing fast and excited for new teammates ... As a Data Scientist, you will be working with our engineering team to model complex problems and ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ... Financial/ Telecommunication), powerbi/tableau, data warehouse Benefits * Competitive Salary * Paid ...

Pipe Technologies

Senior Data Scientist

$180K - $220K/yr

... financial outcomes. You will own the full modeling lifecycle across credit underwriting, risk ... Compensation and Benefits We are a fully remote company and we believe in taking care of our ...

BECU

Data Scientist

OR · On-site +1

$75K - $140K/yr

Is it surprising to hear that a financial institution of 1.5 million members and over $30 billion ... Remote or onsite, we are committed to ensuring you are fully engaged and included in our ...

BECU

Data Scientist

Tukwila, WA · On-site +1

$75K - $140K/yr

Is it surprising to hear that a financial institution of 1.5 million members and over $30 billion ... Remote or onsite, we are committed to ensuring you are fully engaged and included in our ...

Apex Systems

Data Scientist

Pleasanton, CA · Remote

Location: Fully remote anywhere in the United States. Employment Type: 6 month contract with ... operational, and financial decision-making. The ideal candidate brings strong quantitative ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

Canoe Intelligence

Sr. Data Scientist

Manhattan, NY · On-site +1

Stay up-to-date with industry trends and best practices in data science, finance, and technology. * Work with the Product and Machine Learning teams to develop new strategies for data extraction from ...

Elder Research

Data Scientist

Raleigh, NC · On-site +1

Data Scientist General Information Requisition # 694 Locations USA-VA-Arlington OR USA-NC-Raleigh Posting Date 05/08/2026 Security Clearance Required - NONE Remote Type Hybrid Time Type Full time ...

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in ...

Elder Research

Data Scientist

Raleigh, NC · On-site +1

Data Scientist General Information Requisition # 694 Locations USA-VA-Arlington OR USA-NC-Raleigh Posting Date 05/08/2026 Security Clearance Required - NONE Remote Type Hybrid Time Type Full time ...

Elder Research

Data Scientist

Arlington, VA · On-site +1

Data Scientist General Information Requisition # 694 Locations USA-VA-Arlington OR USA-NC-Raleigh Posting Date 05/08/2026 Security Clearance Required - NONE Remote Type Hybrid Time Type Full time ...

Booz Allen Hamilton, Inc.

Data Scientist

San Antonio, TX · On-site +1

$61K - $141K/yr

Remote Work: Yes Job Number: R0241019 Location: San Antonio,TX,US Share job via: Share Data ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

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All JobsData Scientist Finance JobsRemote Data Scientist Finance Jobs

Remote Data Scientist Finance information

See salary details

$37.5K

$122.7K

$196.5K

How much do remote data scientist finance jobs pay per year?

As of Jun 9, 2026, the average yearly pay for remote data scientist finance in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist in Finance, and why are they important?

To thrive as a Remote Data Scientist in Finance, you need strong statistical analysis, programming (Python or R), and financial domain knowledge, often supported by a degree in data science, finance, or a related field. Familiarity with machine learning frameworks, SQL databases, and data visualization tools like Tableau or Power BI is typically required. Excellent problem-solving, self-motivation, and clear communication are standout soft skills for remote collaboration and translating insights to stakeholders. These skills and qualities are crucial for extracting actionable insights from complex financial data, driving informed decision-making, and succeeding in a remote work environment.

How do remote data scientists in finance typically collaborate with cross-functional teams?

Remote data scientists in finance regularly work with teams such as risk management, engineering, and business analysts using digital collaboration tools. Communication is often structured through virtual meetings, shared dashboards, and project management platforms to ensure everyone stays aligned on data-driven goals. Strong documentation practices and proactive communication are essential in a distributed environment to clarify requirements and share insights. This collaborative approach helps ensure that models and analyses are actionable and meet the needs of various stakeholders.

What does a Remote Data Scientist in Finance do?

A Remote Data Scientist in Finance analyzes large financial datasets to uncover trends, create predictive models, and support decision-making from a distance, usually working from home or another remote location. They use statistical methods, machine learning, and programming to identify insights that can help financial institutions manage risk, detect fraud, optimize investments, and improve operations. Their work often involves collaborating with other teams virtually, presenting findings, and ensuring data-driven strategies align with business goals.

What is the difference between Remote Data Scientist Finance vs Remote Data Analyst Finance?

AspectRemote Data Scientist FinanceRemote Data Analyst Finance
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/R; knowledge of financeBachelor's in Finance, Economics, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentAdvanced analytics, modeling, machine learning projects in financeData reporting, trend analysis, and basic visualization in finance
Employer & Industry UsageFinancial institutions, fintech companies, investment firmsBanking, investment firms, financial services

Remote Data Scientist Finance roles focus on developing predictive models and advanced analytics, requiring programming and statistical expertise. Remote Data Analysts Finance primarily handle data reporting and basic analysis. Both roles are vital in finance but differ in complexity and skill requirements.

More about Remote Data Scientist Finance jobs
What cities are hiring for Remote Data Scientist Finance jobs? Cities with the most Remote Data Scientist Finance job openings:
What are the most commonly searched types of Data Scientist Finance jobs? The most popular types of Data Scientist Finance jobs are:
What states have the most Remote Data Scientist Finance jobs? States with the most job openings for Remote Data Scientist Finance jobs include:
What job categories do people searching Remote Data Scientist Finance jobs look for? The top searched job categories for Remote Data Scientist Finance jobs are:
Remote Data Scientist Finance jobs near you
Infographic showing various Remote Data Scientist Finance job openings in the United States as of May 2026, with employment types broken down into 40% Internship, 20% Full Time, and 40% Contract. Highlights an 100% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
REMOTE - Data Scientist

REMOTE - Data Scientist

PatientPoint

Remote

$101K - $175K/yr

Full-time

Retirement

Posted 27 days ago

Job description

Join PatientPoint to be part of a dynamic team creating change in and around the doctor's office. As a leading digital health company, we innovate to positively impact patient behaviors. Our purpose-driven approach offers an inspirational career opportunity where you can contribute to improving health outcomes for millions of patients nationwide.
Location: Cincinnati OR Remote
Travel Required: 2-3 times yearly
Job Summary
The Data Science team at PatientPoint works on business problems across the enterprise, such as provider growth, pricing, operations, marketing, campaign measurement, and customer attrition.As a Data Scientist, you'll impact the organization by creating data products that synthesize available data into useful predictions, enable manual processes to be automated, and provide digestible information for human-in-the-loop decisions.
WhatYou'llDo
  • In this role, you'll work with a cross-functional team to enhance PatientPoint's durable provider growth strategy.
  • You'll be a core member of the team responsible for modeling the value of providers in the market and creating data pipelines that prioritize recruitment.
  • To be successful, you'll develop a deep understanding of the goals and constraints of the provider growth team and leverage machine learning, analysis, and data storytelling techniques to move the business towards its goals.
  • To stay organized, you'll work in Git, participate in code reviews, and keep your work documented (Jira, Confluence, READMEs) .
  • To maximize impact, you'll proactively share insights with your cross-functional collaborators and data science team.

What We Need
  • Bachelorsdegree inApplied Statistics, Computer Science,Operations Research, Business Analytics, InformationSystemsor a related field.
  • 2+ years of related data science experience developing data products, deploying models to production, and delivering analyses to internal and external stakeholders.
    • Candidates will be asked to provide examples from theirprevious experienceand/or complete aprojectusing analytics to create actionable insights.
  • Fluency in Python and SQL, with end-to-end data stack experience including manipulation, analysis, visualization, model deployment, and pipeline orchestration.
  • Strong working knowledge of machine learning and data science methods including model training, model validation and selection, backtesting, and statistical testing.
  • Experience taking models from development to production, monitoring performance, and iteratively improving over time.
  • Strong communicationskills and a collaborative attitude for working with stakeholders.

Desired Qualifications
  • Masters or doctoral degree inApplied Statistics, Computer Science,Operations Research, Business Analytics, InformationSystemsor a related field.
  • Professional experience in healthcare, pharmaceutical,and digital advertising industries.
  • Strong grasp of MLOps practices and software engineering principles.
  • Experience with Snowflake, Airflow, HEX, Cursor, Claude Code.

What You'll Need to Succeed
  • Curious self-learner that enjoys staying current on emerging methods and trends and sharing with the team and others around them.
  • Highly self-motivated and self-directed.
  • Critical thinking with the ability toidentifyand scope and solve ambiguous problems in a fast-paced environment.
  • The ability to empower others through data storytelling - translating complex data findings into compelling narratives. Comfortable not onlypresenting the data but also explaining the insights in a context that resonates withtheaudience.
  • Strong interpersonal,communication,and consulting skills. Ability toestablishand maintain successful cross functional relationships and collaborate closely with multiple teams including engineering, product management, and business stakeholders.
  • Enthusiasm for responding to a dynamic range of questions and analytical challenges.

Base Salary Band: $101,542 - $175,732
Compensation: At PatientPoint, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including skills, qualifications, geographic location, and professional experience, which can cause your compensation to vary. The base salary range listed is just one component of PatientPoint's total compensation package for employees. For additional details on our total benefits package, please review the section "About PatientPoint" at the end of this job description.
About PatientPoint:PatientPoint® is the Point of Change company, transforming the healthcare experience through the strategic delivery ofbehavior-changing content at critical moments of care. As the nation's largest and most impactful digital network in 30,000 physician offices, we connect patients, providers and healthbrands with relevant information that is proven to drivehealthier decisions and better outcomes. Learn more atpatientpoint.com.
Latest News & Innovations:
  1. Why is PatientPoint a Best Place to Work! Read More
  2. Teammate Honored as "Top Woman in Tech". Read More
  3. Recognized on Vault's Top Internship List. Read More

What We Offer:
We know you bring your whole self to work every day, and we are committed to supporting our full-time teammates with a comprehensive range of modernized benefits and cultural perks. We offer competitive compensation, flexible time off to recharge, hybrid work options, mental and emotional wellness resources, a 401K plan, and more. While these benefits are available to full-time team members, we strive to create a positive and supportive environment for all teammates.
PatientPoint recognizes that privacy is important to you. Please read the PatientPoint privacy policy, we want you to be familiar with how we may collect, use, and disclose your information. Employer is EOE/M/F/D/V

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