Predictive Analytics Engineer

Benefits: HYBRID Competitive salary Opportunity for advancement 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. Key Responsibilities * 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. 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. Why Join Us? * Work on impactful machine learning and AI initiatives. * Hybrid work environment in Dallas, TX. * Collaborative, data-driven culture. * Opportunity to work with modern analytics and cloud technologies. * Competitive compensation and career growth opportunities. Flexible work from home options available. Compensation: $100,000.00 - $120,000.00 per year About Us We work to deliver profitability in your business – with effective communication, consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ideal solutions at minimum expenses. Work Approach Our Philosophy Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal. Work Policy We promote a collaborative work environment. We involve everyone working in the organization in community decisions and encourage them to think from a broader perspective. Our work process promotes flexibility and we maintain a high level of discipline at different levels of execution. The Future SelectMinds have years of experience in the domain helps us understand the need-of-the-hour better. This understanding drives us to a better future with every minute ticking. We believe we will be taking off major businesses from their flagship positions, with the products we are eyeing today.