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Senior Data Scientist

Job in Houston, Harris County, Texas, 77246, USA
Listing for: Tavant
Full Time position
Listed on 2026-08-22
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Data Analyst, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

This is a 5 days work from Houston office role

As a Senior Data Scientist in Enterprise Products at Tavant Technologies, you will utilize advanced analytical techniques to drive insights from large datasets. Your role will involve building predictive models and enhancing data-driven decision-making processes within the organization. You will collaborate with various teams to identify opportunities for leveraging data to optimize products and services.

About the Team:

You will be part of a dynamic team of data scientists, analysts, and product managers dedicated to creating innovative solutions for enterprise-level clients. The team thrives on collaboration, leveraging diverse expertise to tackle complex challenges. A culture of continuous learning and knowledge sharing is fostered, allowing team members to stay up-to-date with the latest industry trends and technologies.

You are Responsible for:

Developing and deploying machine learning models to solve business problems.

Analyzing complex datasets to extract actionable insights that contribute to product development.

Collaborating with cross-functional teams to integrate data science solutions into existing products and services.

Providing mentorship and guidance to junior data scientists and fostering a collaborative environment.

To succeed in this role – you should have the following:

Strong experience in machine learning algorithms and statistical modeling techniques.

Proficiency in programming languages such as Python or R, along with data manipulation libraries.

Experience with big data technologies like Hadoop, Spark, or similar platforms.

Excellent analytical skills with the ability to communicate complex findings to non-technical stakeholders.

A degree in a quantitative field, such as Computer Science, Statistics, Mathematics, or related disciplines.

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Position Requirements
10+ Years work experience
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