• • • W2 only (No C2C) • • • • What the candidate will be doing: • Working with Python, PySpark, and Databricks to develop predictive models and impactful dashboards that drive real business outcomes. Ideal Candidate Profile: • Proficient in Python and machine learning • Strong communication and stakeholder engagement skills • Experience applying customer-focused analytics to solve business problems • Demonstrated ability to build models that drive measurable business value Top 3 Skills: • Machine Learning Model Development for Business Impact • Advanced Proficiency in Python for Data Science • Customer-Centric Data Analytics Job Summary: • This role offers an exciting opportunity to apply both technical and business acumen to drive strategic and financial outcomes through data. Data Scientists in this position are expected to develop their skills through hands-on analytics, modeling, and collaboration across functional teams. Key Responsibilities: • Embrace a culture focused on humility, curiosity, and delivering impact • Analyze and process data using Python, PySpark, and Databricks • Build and maintain predictive models and data visualization dashboards • Perform hands-on analytics while continuously developing technical expertise • Partner with business teams to uncover insights that drive smarter, more profitable decisions Working Conditions: • 100% remote position Minimum Qualifications: • 0–3 years of experience in data analysis or a related field • Master’s degree in a quantitative discipline or equivalent practical experience • Proficiency with statistical tools and database query languages Preferred Qualifications: • Demonstrated use of data science to enhance customer experience or business performance • PhD in a quantitative field • Hands-on experience with Python libraries such as PySpark, NumPy, pandas, scikit-learn, XGBoost, Matplotlib, and lifelines • Solid understanding of statistical and machine learning techniques including frequentist and Bayesian methods, forecasting, optimization, causal inference, and NLP • Familiarity with version control systems • Experience working with cloud-based data platforms • Strong cross-functional collaboration and communication skills, with the ability to present insights effectively to both technical and non-technical stakeholders