Senior Account Manager -Data Science

We are seeking a data scientist with strong technical expertise in machine learning and statistical analysis to develop and deploy impactful data solutions. The role involves designing and implementing predictive models (e.g., regression, classification, NLP, time series), collaborating with stakeholders to solve business problems, and driving strategic decisions through experimentation and data-driven insights

Job Description:

Key responsibilities:

• Modeling & Machine Learning
• Design and implement robust machine learning solutions (e.g., regression, classification, NLP, time series, recommendation systems).
• Evaluate and tune models using appropriate metrics (AUC, RMSE, precision/recall, etc.).
• Work on feature engineering, model interpretability, and performance optimization.
• Data-Driven Business Strategy
• Partner with stakeholders to identify key opportunities where data science can drive business value.
• Translate business problems into data science projects with clearly defined deliverables and success metrics.
• Provide actionable recommendations based on data analysis and model outputs.
• Analytics and Experimentation
• Conduct deep-dive exploratory analysis to uncover trends and insights.
• Apply statistical methods to test hypotheses, forecast trends, and measure campaign effectiveness
• Design and analyze A/B tests and other experiments to support product and marketing decisions.
• Automate data pipelines and dashboards for ongoing monitoring of model and business performance.
  
  
  

• Languages: Proficient in Python, MySQL.
• Libraries/Frameworks: scikit-learn, Pandas, NumPy, Time series, ARIMA, Bayesian model, Market Mix model, Regression, XGBoost, LightGBM, TensorFlow, PyTorch.
• Statistical Method: Proficient in statistical techniques such as hypothesis testing, regression analysis, time-series analysis
• Databases : PostgreSQL, BigQuery, MySQL.
• Visualization: Plotly, Seaborn, Matplotlib.
• Deployment: Experience in Gitlab, CI/CD pipelines(Good to have).
• Cloud Platforms: Familiarity with AWS, GCP, or Azure services(Good to have).