Data Scientist

We are seeking a highly experienced and passionate Lead Data Scientist specializing in Forecasting to join our dynamic team. As a Lead Data Scientist, you will be instrumental in developing advanced forecasting and pricing analytics solutions, playing a crucial role in our strategic decision-making processes. This position requires a professional who can not only lead projects and drive stakeholder discussions but also remain hands-on with complex model development.

This is an exceptional opportunity for a seasoned Data Scientist with a proven track record in commercial forecasting to make a significant impact within a forward-thinking organization. We are particularly interested in candidates with recent, hands-on experience in commercial forecasting or pricing analytics, ready to tackle challenging and impactful projects.

Key Responsibilities

• Lead the design, development, and implementation of advanced forecasting models for demand, sales, revenue, volume, and financial metrics.
• Apply and innovate with advanced time-series modeling techniques, including ARIMA, SARIMA, Prophet, XGBoost, LSTM, and TFT.
• Develop and refine pricing analytics, price elasticity models, and price optimization strategies to drive business growth.
• Utilize strong statistical modeling and machine learning fundamentals to create robust and accurate predictive solutions.
• Drive end-to-end model development in Python and SQL, from data acquisition to deployment.
• Evaluate forecast accuracy using metrics such as MAPE, WAPE, and RMSE, ensuring continuous improvement.
• Oversee model deployment, monitoring, and analysis of business impact, ensuring solutions meet strategic objectives.
• Lead technical projects, mentor junior team members, and effectively communicate complex insights to diverse stakeholders.

Requirements

• 12-18 years of relevant Data Science experience, with a strong focus on commercial forecasting or pricing analytics.
• Demonstrated expertise in commercial forecasting across various business dimensions (Demand, Sales, Revenue, Volume, Financial).
• Deep understanding and practical experience with advanced Time-Series Modelling techniques (ARIMA, SARIMA, Prophet, XGBoost, LSTM, TFT).
• Proficiency in Pricing Analytics, including Price Elasticity and Price Optimisation.
• Strong foundational knowledge in statistical modeling and machine learning principles.
• Expert-level programming skills in Python and SQL for data manipulation and model development.
• Experience with forecast accuracy measurement metrics such as MAPE, WAPE, and RMSE.
• Proven ability in model deployment, monitoring, and assessing business impact.
• Excellent leadership skills with the ability to manage projects and effectively engage in stakeholder discussions.

What We Offer

• An opportunity to lead impactful projects in advanced data science and analytics.
• A hybrid work model providing flexibility with 2-3 days in office.
• Collaborative and innovative work environment with experienced professionals.
• Exposure to cutting-edge technologies and methodologies in forecasting and pricing.
• Career growth opportunities within a rapidly expanding company.