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Remote Data Science Jobs in Reston, VA (NOW HIRING)

NT Concepts

Data Scientist

Herndon, VA · On-site +1

Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ... Awareness of emerging data science, AI/ML, and big-data technologies relevant to national security ...

HelioCampus

Data Scientist I

Bethesda, MD · On-site +1

... remote role, managing multiple priorities and meeting deliverable deadlines. * Understanding of model transparency & explainability concepts, and ethical issues in data science. * Familiarity with ...

HelioCampus

Data Scientist I

Bethesda, MD · On-site +1

... remote role, managing multiple priorities and meeting deliverable deadlines. * Understanding of model transparency & explainability concepts, and ethical issues in data science. * Familiarity with ...

HelioCampus

Data Scientist I

Bethesda, MD · On-site +1

... remote role, managing multiple priorities and meeting deliverable deadlines. * Understanding of model transparency & explainability concepts, and ethical issues in data science. * Familiarity with ...

RapidSoft Corp

Senior Data science Engineer - Remote

Reston, VA · On-site +1

$110K - $149K/yr

... data science engineers in analyzing and understanding all aspects of data, including source, design, insight, technology and modeling • Develop and manage scalable data processing platforms for ...

Advent Services

Data Scientist

Washington, DC · Remote

Bachelors degree in Data Science, Statistics, Computer Science, Human Resources Analytics, or a related field (Masters preferred). Strong proficiency in programming languages such as Python or R.

SAIC

Senior Data Scientist

Springfield, VA · Remote

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC ® is a premier Fortune ... Apply expert knowledge of industry-standard data science principles to identify anomalous events ...

Parsons

Senior Data Scientist

Springfield, VA · Remote

Apply expert knowledge of industry-standard data science principles to identify anomalous events ... Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and ...

SAIC

Senior Data Scientist

Springfield, VA · Remote

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description ? SAIC is a premier Fortune 500 ... Apply expert knowledge of industry-standard data science principles to identify anomalous events ...

HiddenLayer

Data Scientist

Washington, DC · Remote

Data Scientist Remote [within the US] ABOUT THE ROLE: We're looking for a Data Scientist to join our Data Sciences and ML Engineering team. You'll be building, shipping, and improving the models and ...

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Remote Data Science information

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists will continue to be essential for developing complex algorithms, understanding business context, and ensuring ethical use of AI tools. Skills in programming, statistical analysis, and machine learning remain critical for the profession's evolving landscape.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.
More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Reston, VA? The most popular types of Data Science jobs in Reston, VA are:
What are popular job titles related to Remote Data Science jobs in Reston, VA? For Remote Data Science jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Reston, VA look for? The top searched job categories for Remote Data Science jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Data Science jobs? Cities near Reston, VA with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Reston, VA as of June 2026, with employment types broken down into 2% As Needed, 74% Full Time, 21% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Associate Director, Media Data Science

Avalere Health

Washington, DC • Remote

$60K - $60K/yr

Full-time

Posted 6 days ago

Job description

About Avalere Health

United by one profound purpose: to reach EVERY PATIENT POSSIBLE. At Avalere Health, we ensure every patient is identified, treated, supported, and cared for. Equally. Our Advisory, Medical, and Marketing teams come together – powerfully and intentionally – to forge unconventional connections, building a future where healthcare is not a barrier and no patient is left behind. 

Achieving our mission starts with providing enriching, purpose-driven careers for our team that empower them to make a tangible impact on patient lives. We are committed to creating a culture where our employees are empowered to bring their whole selves to work and tap into the power of diverse backgrounds and skillsets to play a part in making a difference for every patient, everywhere. 

Our flexible approach to working allows our global teams to decide where they want to work, whether in-office or at home based on team and client need. Major city hubs in London, Manchester, Washington, D.C., and New York, and smaller offices globally, serve as collaboration hubs allowing our teams to come together when it matters. Homeworkers are equally supported, with dedicated social opportunities and resources.  

Our inclusive culture is at the heart of everything we do. We proudly support our employees in bringing their whole selves to work with our six Employee Network Groups – Diverse Ability, Family, Gender, LGBTQ+, Mental Health, and Race/Ethnicity. These groups provide opportunities to promote diversity, equity, and inclusion and to connect, learn, and socialise through regular meetings and programs of activity. We are an accredited Fertility Friendly employer with our Fertility Policy, enhanced parental leave, and culture of flexibility ensuring every employee feels supported across their family planning journey and can work in a way that suits their family’s needs. 

We are deeply invested in supporting professional growth for our employees through day-to-day career experiences, access to thousands of on-demand training sessions, regular career conversations, and the opportunity for global, cross-capability career moves.  

We take pride in being part of the Disability Confident Scheme. This helps make sure you can be interviewed fairly if you have a disability, long term health condition, or are neurodiverse. If you'd like to apply and need adjustments made, you can let us know in your application.

We are seeking an Associate Director of Media Data Science to lead advanced media analytics across HCP and DTC campaigns. This individual will be an innovator and cross-functional collaborator who pushes the boundaries of healthcare media measurement, connects complex datasets, and translates insights into compelling business narratives. 

This role sits at the intersection of data science, media strategy, and client impact — responsible for connecting omnichannel media investment to measurable outcomes and growth. 

What You'll Do
  • Lead advanced measurement strategy across HCP and DTC campaigns, including MMM, multi-touch attribution, incrementality testing, brand affinity, and lift studies.
  • Build, run, and refine hands-on data science models to evaluate media effectiveness, including linear regression, marketing mix models, attribution models, predictive models, and other statistical approaches.
  • Integrate and analyze healthcare datasets including IQVIA, Crossix, PurpleLab, Experian, Medicaid, and other claims or identity-based data sources to quantify media impact.
  • Connect exposure across linear TV, Google, SEM, display, paid social, radio, and programmatic business outcomes and promotional KPIs.
  • Query, manipulate, and structure large datasets within Snowflake, operating within a medallion (Bronze/Silver/Gold) data architecture.
  • Use SQL, Python, R, and/or other statistical tools to clean, transform, model, and analyze large-scale media and healthcare datasets.
  • Apply tools such as SAS, SPSS, or similar statistical platforms to support advanced modeling, analysis, and validation where appropriate.
  • Build structured datasets and dashboards in Tableau and Looker that support real-time insight generation and executive reporting.
  • Translate statistical modeling outputs into clear, actionable storylines that demonstrate how campaigns drive business performance.
  • Develop executive-ready PowerPoint presentations that bring data to life for clients and senior stakeholders.
  • Collaborate closely with Media Strategy, Data Strategy, Engineering, and Account teams to ensure measurement frameworks, model outputs, and reporting solutions are aligned with business objectives.
  • Mentor analysts and foster a culture of innovation, rigor, technical excellence, and cross-functional partnership within the data science function.

About You
  • 6+ years of experience in data science, advanced analytics, media measurement, or marketing analytics, preferably within healthcare, pharma, life sciences, or another highly regulated industry.
  • Hands-on experience building, running, and interpreting statistical models, including linear regression, marketing mix modeling, multi-touch attribution, incrementality testing, lift studies, and/or predictive modeling.
  • Strong technical capability with SQL, Snowflake, Python, and/or R, including experience cleaning, transforming, analyzing, and modeling large-scale datasets.
  • Experience with SAS, SPSS, or similar statistical tools preferred.
  • Experience leveraging healthcare data platforms and datasets such as IQVIA, Crossix, PurpleLab, Experian, Medicaid, claims data, identity-based data, or similar sources.
  • Strong Tableau and/or Looker skills, with the ability to develop reporting solutions that support both detailed analysis and executive-level decision-making.
  • Strong communication and storytelling skills, including the ability to translate complex modeling outputs into clear, actionable business narratives for clients and senior stakeholders.
  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Analytics, or a related field required; Master’s degree preferred.
What we can offer

You will receive a 401K plan with an employer match contribution up to 4% (immediately vested), as well as life insurance, disability coverage, and medical, dental, and vision plans for peace of mind. Enjoy flexible working arrangements, including hybrid and remote work, along with the option to work from anywhere across the globe two weeks each year. We provide 20 vacation days plus one personal well-being day, recognise 9 public holidays, along with gifted end-of-year holidays and an early Summer Friday finish in June, July, and August. 

Access free counselling through our employee assistance program and personalized health support. Our enhanced maternity, paternity, family leave, and fertility policies provide support across every stage of your family-planning journey. You can also benefit from continuous opportunities to professionally develop with on-demand training, support, and global mobility opportunities across the business.  

We encourage all applicants to read our candidate privacy notice before applying to Avalere Health.

We may use AI tools to support elements of the hiring process, such as reviewing applications, analyzing CV/resumes, assessing responses, or transcribing interviews. These tools assist our Talent team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please review our candidate privacy policy.