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Senior Data Science Mentor Jobs in Reston, VA (NOW HIRING)

The Senior Data Scientist will lead end-to-end data science initiatives?from data collection and ... Manage data science projects from conception through deployment, ensuring timely and high-quality ...

Apply advanced data science techniques including exploratory data analysis, feature engineering ... Mentor and guide junior data scientists and contribute to analytic standards, best practices, and ...

Apply advanced data science techniques including exploratory data analysis, feature engineering ... Mentor and guide junior data scientists and contribute to analytic standards, best practices, and ...

Apply advanced data science techniques including exploratory data analysis, feature engineering ... Mentor and guide junior data scientists and contribute to analytic standards, best practices, and ...

Sr Data Science Manager

Mclean, VA · Hybrid

$97K - $224K/yr

Overview PenFed is hiring a (Hybrid) Sr Data Science Manager, NPV Modeling at our Tysons, Virginia location. This role leads the NPV modeling function within the Decision Science department. The ...

# Sr. Data ScientistBigbear.aiWashington, USFull-time## About the RoleOverviewBigBear.ai is seeking ... data science languages, such as R and Python; managing and merging of disparate data sources ...

Apply expert knowledge of industry-standard data science principles to identify anomalous events ... Experience in a leadership or mentorship role within a data analytics or business intelligence team.

Apply expert knowledge of industry-standard data science principles to identify anomalous events ... Experience in a leadership or mentorship role within a data analytics or business intelligence team.

Showing results 21-40

Senior Data Science Mentor information

See Reston, VA salary details

$26K

$83.5K

$170.1K

How much do senior data science mentor jobs pay per year?

As of Sep 12, 2026, the average yearly pay for senior data science mentor in Reston, VA is $83,527.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,200.00 and $107,200.00 per year, depending on experience, location, and employer.

What does a senior data science mentor do?

A Senior Data Science Mentor provides guidance and support to individuals or teams learning data science concepts and techniques. They help mentees develop practical skills in areas such as machine learning, statistical analysis, data visualization, and programming. In addition to technical coaching, they often assist with career development, portfolio building, and navigating challenges in real-world data science projects. Senior mentors draw on their extensive industry experience to offer insights, best practices, and feedback tailored to each mentee's goals.

What are the key skills and qualifications needed to thrive as a senior data science mentor?

To thrive as a Senior Data Science Mentor, you need deep expertise in data science methodologies, strong programming skills (often in Python or R), and advanced knowledge of statistics and machine learning, typically supported by a relevant degree and significant industry experience. Familiarity with tools like Jupyter Notebooks, cloud platforms (such as AWS or Azure), and version control systems is commonly required, alongside experience with online learning platforms. Excellent communication, patience, and the ability to inspire and guide learners are standout soft skills in this role. These skills are crucial to effectively translate complex concepts, foster learner progress, and help shape the next generation of data science professionals.

How does a senior data science mentor typically balance mentoring responsibilities with staying current on industry trends and technologies?

As a Senior Data Science Mentor, you’ll spend a significant portion of your time guiding and supporting less-experienced data scientists, reviewing their work, and providing feedback. To remain effective in this role, mentors often allocate dedicated time each week to participate in professional development, such as attending webinars, reading research papers, or experimenting with new tools. Balancing these responsibilities requires strong time management and a proactive approach to continuous learning, ensuring you can both support your mentees and stay up-to-date with the latest industry advancements.

What cities near Reston, VA are hiring for Senior Data Science Mentor jobs?

Cities near Reston, VA with the most Senior Data Science Mentor job openings:

Infographic showing various Senior Data Science Mentor job openings in Reston, VA as of June 2026, with employment types broken down into 93% Full Time, 6% Part Time, and 1% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $83,527 per year, or $40.2 per hour.

Data Scientist- Senior

Quantico, VA

RIVIDIUM
IT Services • 11 - 50 employees

Full-time

Re-posted 13 days ago


Key responsibilities

  • Lead the design, development, and deployment of advanced statistical and machine learning models

  • Translate complex data into actionable insights to support business strategy and decision-making

  • Manage data science projects from conception through deployment, ensuring timely and high-quality delivery


Job description

RiVidium Inc. is seeking a highly experienced Senior Data Scientist to transform complex data into actionable insights that drive strategic decision-making. The ideal candidate will possess deep expertise in statistical modeling, machine learning, and big data technologies, along with the ability to solve complex problems and predict future trends.

This role requires close collaboration with business stakeholders and cross-functional teams to understand organizational challenges, translate data into meaningful insights, and deliver scalable data-driven solutions. The Senior Data Scientist will lead end-to-end data science initiatives?from data collection and model development to deployment and performance monitoring.

Key Responsibilities

  • Lead the design, development, and deployment of advanced statistical and machine learning models
  • Translate complex data into actionable insights to support business strategy and decision-making
  • Manage data science projects from conception through deployment, ensuring timely and high-quality delivery
  • Collaborate with cross-functional teams to identify business needs and develop data-driven solutions
  • Build and optimize predictive models to solve complex problems and forecast future outcomes
  • Analyze large, complex datasets to identify trends, patterns, and opportunities for improvement
  • Design and implement data platforms for analysis, experimentation, and scalability
  • Assess and improve data quality, data sources, and data collection methodologies
  • Develop algorithms and analytical tools to extract insights from structured and unstructured data
  • Present findings through clear visualizations and storytelling techniques for technical and non-technical audiences
  • Drive innovation and continuous improvement in data science methodologies and technologies
  • Ensure data standardization, governance, and best practices across projects
  • Stay current with emerging trends in data science, machine learning, and artificial intelligence

Minimum Qualifications

  • Bachelor?s or Master?s degree in Computer Science, Data Science, Statistics, Applied Mathematics, Operations Research, or a related quantitative field (or equivalent experience in fields such as economics, engineering, or physics)
  • Minimum 10 years of relevant professional experience
  • 6?8 years of experience leading and executing data science projects, preferably in areas such as risk modeling, real-time analytics, performance optimization, or quality assessment
  • Strong proficiency in programming languages such as Python, R, Java, C++, MATLAB, or similar
  • Experience with SQL, PL/SQL, and NoSQL or Hadoop-based database technologies
  • Hands-on experience with data visualization tools and techniques
  • Strong knowledge of machine learning algorithms, statistical modeling, and data mining techniques
  • Experience with big data technologies such as Hadoop, Apache Spark, or similar platforms
  • Familiarity with natural language processing (NLP) and/or image processing techniques
  • Experience working with Microsoft tools, including SharePoint
  • Strong analytical, problem-solving, and critical thinking skills
  • Excellent communication, presentation, and stakeholder engagement abilities
  • Experience working across cloud, on-premises, and hybrid environments, including containerization technologies such as Docker, Kubernetes, and AWS Elastic Container Service (ECS)
  • Experience with data science platforms such as RStudio, Spark, or similar tools
  • Strong documentation and project management skills
  • Active TS/SCI clearance required at contract start

Preferred Qualifications

  • Specialized expertise in text analytics, image recognition, graph analytics, or deep learning
  • Experience solving complex problems in computer vision or natural language processing domains
  • Prior experience supporting the Department of War (DoW) or Department of the Navy (DoN)
  • Familiarity with federal law enforcement (LE) systems or prior experience in LE environments

Work Environment

  • Collaborative, mission-focused environment supporting federal and defense initiatives
  • Opportunity to work on cutting-edge data science and AI/ML technologies