Hybrid Predictive Analytics Engineer

Socket.dev; Dallas (TX); Hybrid; USD 90,000 - 140,000; Full time

Benefits offered by this job

Hybrid

Competitive salary

Opportunity for advancement

Job summary

Socket.dev in Dallas, TX is seeking a Data Scientist to join our analytics team in a hybrid role. You will build predictive models, transform complex data into actionable insights, and collaborate with product, engineering, and business stakeholders to drive data‑driven decisions.

The ideal candidate has 2+ years in data science, strong Python or R skills, SQL, and ML frameworks such as Scikit‑Learn, TensorFlow, and PyTorch, plus data visualization with Tableau or Power BI.

Qualifications

• 2+ years of professional data science experience.
• Strong Python or R programming skills.
• Advanced SQL for querying complex relational databases.
• Hands-on experience with ML frameworks: Scikit-Learn, TensorFlow, PyTorch.
• Experience with data visualization tools such as Tableau or Power BI.
• Ability to translate data into actionable business insights.

Responsibilities

• Collect, clean, and integrate data from multiple sources.
• Build, train, validate, and deploy ML models for predictive analytics.
• Design and execute A/B tests and experiments to optimize products.
• Develop dashboards and reports to monitor KPIs and performance.
• Explore data to identify trends, patterns, and opportunities.
• Present findings to technical and non-technical stakeholders.
• Collaborate with Product, Engineering, Marketing, and Business Operations.
• Optimize data science workflows and model performance.
• Ensure data quality and governance throughout analytics lifecycle.

Skills

Python

R

SQL

ML frameworks

Data visualization

Communication

Collaborative teamwork

Education

Bachelor’s or Master’s in CS/DS/Stats/Math/Analytics

Tools

Scikit-Learn

TensorFlow

PyTorch

Tableau

Power BI

Job description

Socket.dev in Dallas, TX is seeking a Data Scientist to join our analytics team in a hybrid role. You will build predictive models, transform complex data into actionable insights, and collaborate with product, engineering, and business stakeholders to drive data‑driven decisions.

The ideal candidate has 2+ years in data science, strong Python or R skills, SQL, and ML frameworks such as Scikit‑Learn, TensorFlow, and PyTorch, plus data visualization with Tableau or Power BI.