Job Opportunity – Senior Technical Lead I (Senior Data Science / Data Engineer) – Houston, TX (Onsite) – Contract

Position : Senior Technical Lead I (Senior Data Science / Data Engineer)
Location : Houston, TX (Onsite)
Job Type : Contract 

Note : Candidate must have 10-15 years’ experience, Looking for only H1B candidates – visa copy and passport number are mandatory.

Job description

The Senior Data Science Engineer will be responsible for designing and implementing advanced data models and analytics solutions while simultaneously managing data-driven projects from conception to deployment. This role requires a strong understanding of data science methodologies, programming, and project management principles to ensure successful project delivery.

Minimum experience: 10-15 years’ experience

Main Function
Focuses on machine learning, AI and predictive modeling
Key Deliverables
ML models, prediction APIs,   AI-driven insights
Tools Used
ML Libraries (TensorFlow,   PyTorch), AI APIs
Industry Application
AI-driven sales forecasting,   customer intent prediction
 

Roles & Responsibilities:

 Data Science Development

Design and implement predictive models and complex algorithms to analyze large datasets.
Utilize machine learning techniques to extract insights and drive business strategy.
Collaborate with stakeholders to identify data science opportunities that align with business objectives.
 

Project Management

Manage the full project lifecycle, including initiation, planning, execution, monitoring, and closure.
Coordinate day-to-day tasks and workflows of the project team, ensuring timely delivery within budget constraints.
Scope and define tasks using project management tools (e.g., Jira, Atlassian).
Monitor project performance against goals, budget, and timelines; report progress to stakeholders.
 

Stakeholder Communication

Manage stakeholder expectations by providing regular updates on project status and outcomes.
Communicate complex technical findings in an understandable manner to non-technical stakeholders.
Identify risks and develop mitigation strategies to ensure project success.
 

Requirements: 

Advanced degree in Data Science, Statistics, Computer Science, or a related field.
Extensive experience in data science roles with proven expertise in machine learning, statistical analysis, and programming (Python or R preferred).
Strong analytical skills with the ability to translate data into actionable insights.
Excellent communication and interpersonal skills for effective stakeholder engagement.
Proficiency in SQL and data manipulation tools.
Familiarity with data visualization tools (e.g., Tableau, Power BI).
Experience with cloud platforms (e.g., AWS, Azure) is a plus