Data Scientist
Listed on 2026-03-10
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IT/Tech
Machine Learning/ ML Engineer, Data Scientist
Position Type: 12 Months Contract (Possible extension based on performance)
Location:
Richmond, VA 23219 (Hybrid - Alternate weeks in office; other week remote. (5 days in office, 5 days remote, repeating) Salary Range: $85/hr - $88/hr (USD) on W2 + Benefits Job #: #1534647 Job Summary (Responsibilities and Requirements):
We are seeking an experienced Senior Data Scientist to work on complex, high-impact analytics initiatives. In this role, you will apply advanced data science principles to solve business problems, design scalable machine learning solutions, and deliver actionable insights. You will collaborate with cross‑functional teams, lead analytical projects, and help drive data‑driven decision‑making across the organization.
Key Responsibilities:- Design, develop, and deploy predictive models to address business challenges.
- Perform deep data analysis, feature engineering, and model validation.
- Build interactive reports and applications (e.g., RShiny) for stakeholder use.
- Monitor and maintain ML models, including drift detection and performance tracking.
- Implement automated testing, versioning, and deployment workflows (MLflow, Dataiku, or similar).
- Work with structured and unstructured datasets in big data environments.
- Develop scalable production architectures for machine learning solutions.
- Present insights and recommendations to technical and non-technical stakeholders.
- Mentor and guide junior data science team members as needed.
- 5+ years of Data Science experience using R and/or Python on Hadoop platforms (required).
- Strong expertise in statistical modeling and machine learning techniques.
- Hands‑on experience with predictive modeling:
Classification, Regression, Clustering - Experience with ML lifecycle tools (MLflow, Dataiku, or similar).
- Experience monitoring ML models for drift, reproducibility, and performance.
- Proficiency in building interactive data apps (e.g., RShiny).
- Experience working with big data ecosystems such as:
Hadoop, HDFS, Hive, Sqoop, Spark (PySpark, Spark
R, Spark
SQL), Jupyter or Zeppelin notebooks - Experience with cloud platforms (AWS, Azure, GCP) or Snowflake is a strong plus.
- Understanding of data engineering concepts is a plus.
- Ability to create clear, interpretable visualizations that tell a compelling story
- Minimum:
High School Diploma or equivalent - Preferred:
Bachelor’s or higher in Computer Science, Information Systems, Mathematics, or related field
Founded in 2009, Intelli Pro stands as a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. With a dynamic presence in the USA, China, Canada, Singapore, Philippines, UK, India, Netherlands, and Germany, we continue to lead the way in global talent solutions.
Intelli Pro, a global leader in connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, Intelli Pro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants.
Learn more about our commitment to diversity and inclusivity at
Compensation:
The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, Intelli Pro provides a comprehensive benefits package, all subject to eligibility.
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