Data Scientist / Predictive Analytics Engineer

Data Scientist / Predictive Analytics Engineer
Location: Dallas, TX (Hybrid, 3 days onsite per week)
Employment Type: Full-Time / Contract (W2)
Duration: Long-Term
Work Authorization: Open to candidates authorized to work in the U.S.
Interview Process: Video Interview followed by Client Interview

We are seeking a talented Data Scientist to join our growing analytics team in Dallas, TX.
The ideal candidate will have experience building predictive models, developing machine learning solutions, and transforming complex datasets into actionable business insights.
will work closely with product, engineering, and business stakeholders to drive data-driven decision making and improve business outcomes.

Required Skills
* 2+ years of professional experience as a Data Scientist.
* Strong programming skills in Python or R.
* Advanced SQL skills with experience querying complex relational databases.
* Hands-on experience with machine learning frameworks such as:
    * Scikit-Learn     * TensorFlow    * PyTorch
* Experience with statistical modeling, predictive analytics, and feature engineering.
* Strong understanding of:
    * Regression Analysis    * Hypothesis Testing    * Probability & Statistics
* Experience with data visualization tools such as:
    * Tableau   * Power BI   * Matplotlib
* Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications
* Experience working with cloud platforms such as AWS, Azure, or GCP.
* Knowledge of data pipelines, ETL processes, and big data technologies.
* Experience with MLOps, model deployment, and monitoring is a plus.
* Familiarity with version control systems such as Git.

Education
* Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related quantitative field.

 * Collect, clean, and integrate structured and unstructured data from multiple sources.
* Build, train, validate, and deploy machine learning models for predictive analytics.
* Design and execute A/B testing and statistical experiments to optimize products and business processes.
* Develop automated dashboards and reports to monitor KPIs and business performance.
* Perform exploratory data analysis to identify trends, patterns, and opportunities.
* Present analytical findings and recommendations to technical and non-technical stakeholders.
* Collaborate with cross-functional teams including Product, Engineering, Marketing, and Business Operations.
* Optimize existing data science workflows and improve model performance.
* Ensure data quality, governance, and best practices throughout the analytics lifecycle.