Senior Data Scientist

Tavant; Houston (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Tavant Technologies in Houston seeks a Senior Data Scientist to develop and deploy ML models and derive actionable insights from large datasets. You will collaborate with product teams to embed data science into offerings and mentor junior data scientists.

Ideal candidates have strong ML and statistical skills, proficiency in Python or R, and experience with Hadoop/Spark. This role reports to the Enterprise Data team and requires a Houston-office presence.

Qualifications

• Strong experience in machine learning algorithms and statistical modeling techniques.
• Excellent analytical skills and ability to communicate findings to non-technical stakeholders.
• Proficient in Python or R and data manipulation libraries.
• Experience with big data technologies like Hadoop or Spark.

Responsibilities

• Develop and deploy machine learning models to solve business problems.
• Analyze complex datasets to extract actionable insights for product development.
• Collaborate with cross-functional teams to integrate data science solutions into existing products and services.
• Provide mentorship and guidance to junior data scientists.

Skills

Machine learning

Statistical modeling

Communication

Team collaboration

Education

Bachelor's degree in quantitative field

Tools

Python

R

Hadoop

Spark

Job description

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.