Role: Data Scientist
Location: Reston VA (Hybrid 3 days onsite / 2 days offsite)
Duration: Long Term
Experience: 10 Years
Interview Process: 1st round Video Interview 2nd round Onsite Interview
Summary
We are looking for an energetic hands-on Data Scientist to support stakeholders by analysing complex Single-Family datasets building predictive models and generating actionable insights. This role involves collecting requirements cleaning and transforming data and developing models that guide business decisions.
Responsibilities
- Build predictive and analytical models using Python
- Support business stakeholders by identifying insights and enabling data-driven decisions
- Clean transform and manipulate large datasets (XML JSON SQL-based sources)
- Collaborate closely with UAT business operations and reporting teams
- Participate in data profiling and discovery for new AI/ML use cases
- Contribute to automation insight generation and enterprise-scale data initiative
Required Skills
- 5 8 years of experience in Data Science
- Strong Python skills for modeling data manipulation and analysis
- Ability to gather business requirements and translate them into analytical solutions
- Understanding of feature engineering model creation and evaluation
Nice to Have
- Experience with R programming
- Exposure to AWS ML workflows or cloud-based modeling environments
- Familiarity with LLM/Bedrock (not required
Role: Data Scientist Location: Reston VA (Hybrid 3 days onsite / 2 days offsite) Duration: Long Term Experience: 10 Years Interview Process: 1st round Video Interview 2nd round Onsite Interview Summary We are looking for an energetic hands-on Data Scientist to support stakeholders by analysing...
Role: Data Scientist
Location: Reston VA (Hybrid 3 days onsite / 2 days offsite)
Duration: Long Term
Experience: 10 Years
Interview Process: 1st round Video Interview 2nd round Onsite Interview
Summary
We are looking for an energetic hands-on Data Scientist to support stakeholders by analysing complex Single-Family datasets building predictive models and generating actionable insights. This role involves collecting requirements cleaning and transforming data and developing models that guide business decisions.
Responsibilities
- Build predictive and analytical models using Python
- Support business stakeholders by identifying insights and enabling data-driven decisions
- Clean transform and manipulate large datasets (XML JSON SQL-based sources)
- Collaborate closely with UAT business operations and reporting teams
- Participate in data profiling and discovery for new AI/ML use cases
- Contribute to automation insight generation and enterprise-scale data initiative
Required Skills
- 5 8 years of experience in Data Science
- Strong Python skills for modeling data manipulation and analysis
- Ability to gather business requirements and translate them into analytical solutions
- Understanding of feature engineering model creation and evaluation
Nice to Have
- Experience with R programming
- Exposure to AWS ML workflows or cloud-based modeling environments
- Familiarity with LLM/Bedrock (not required
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