Data Scientist

Tavant Technologies, Inc.

Houston (TX)

On-site

USD 115,000 - 139,000

Full time

14 days+

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Benefits offered by this job

401(k)

Dental insurance

Employee assistance program

Parental leave

Job summary

Tavant Technologies, Inc. in Houston, TX is seeking a Senior Data Scientist to build predictive models and extract actionable insights from complex datasets, working with cross-functional teams to embed data-driven solutions into enterprise products.

The position provides a competitive annual salary range and a benefits package that supports financial security and work-life balance, including a 401(k), dental insurance, an employee assistance program, and parental leave.

Qualifications

Master's or PhD in CS, statistics, mathematics, or related field.
Strong programming and ML experience.
Experience with data visualization and big data tools.

Responsibilities

Develop and implement ML algorithms to solve complex business problems.
Analyze large datasets to generate insights for decision-making.
Collaborate with product managers and engineers to embed data science into products.
Communicate findings clearly to technical and non-technical stakeholders.
Stay updated with advances in data science and ML technologies.

Skills

Strong problem-solving

Communication skills

Collaboration

Education

Master's or PhD in CS/Statistics/Math

Tools

Python

TensorFlow

PyTorch

Scikit-learn

Tableau

Power BI

Hadoop

Spark

SQL

Job description

At Tavant Technologies, Inc., the Energy Vertical offers a compelling onsite opportunity in Houston, TX for a Senior Data Scientist. The role focuses on building predictive models and extracting actionable insights from complex datasets, working with cross-functional teams to embed data-driven solutions into enterprise products. The position provides a competitive annual salary range and a benefits package that supports financial security and work-life balance, including a 401(k), dental insurance, an employee assistance program, and parental leave.

Benefits

401(k)
Dental insurance
Employee assistance program
Parental leave

Responsibilities

Develop and implement machine learning algorithms to solve complex business problems.
Analyze large datasets to generate insights and inform decision-making processes.
Collaborate with product managers and engineers to integrate data science solutions into enterprise products.
Communicate findings and recommendations effectively to technical and non-technical stakeholders.
Stay current with the latest advancements in data science and machine learning technologies.

Requirements

Strong proficiency in programming languages such as Python or R.
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Solid understanding of statistical analysis techniques and data modeling.
Proficiency in data visualization tools (e.g., Tableau, Power BI).
Familiarity with big data technologies (e.g., Hadoop, Spark).
Ability to work with databases and query large datasets using SQL.
Strong problem-solving skills and the ability to think critically.
Excellent communication and collaboration skills.
Master\'s or Ph.D. in computer science, statistics, mathematics, or a related field.

Technologies