Senior Technical Lead I (Senior Data Science Engineer) role in Houston, TX

Overview

On Site
Depends on Experience
Contract - Independent
Contract - W2
Contract - 6 Month(s)

Skills

ML models
prediction APIs
AI-driven insights
ML Libraries (TensorFlow
PyTorch)
AI APIs

Job Details

We have a Senior Technical Lead I (Senior Data Science Engineer) role in Houston, TX. Kindly share qualified candidates who are local to Texas as the role needed to go client office weekly 3 days.

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

Duration: 4 months CTH (Conversion based on performance during contract)

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

  1. Manage the full project lifecycle, including initiation, planning, execution, monitoring, and closure.
  2. Coordinate day-to-day tasks and workflows of the project team, ensuring timely delivery within budget constraints.
  3. Scope and define tasks using project management tools (e.g., Jira, Atlassian).
  4. 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

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