Senior Data Scientist Forecasting

Job Description

Job Description We are looking for an experienced Data Scientist with a specialization in forecasting to join our data science team. The ideal candidate will have a deep understanding of statistical and machine learning techniques for time series forecasting and demand prediction. In this role, you will drive business value by developing accurate forecasting models and delivering actionable insights to optimize decision-making processes across the organization . Key Responsibilitie s: Develop and implement advanced time series forecasting models to predict key business metrics (e.g., sales, demand, inventory, etc .).Analyze historical data to identify trends, seasonality, and other patterns that can be leveraged for accurate forecasti ng.Collaborate closely with client’s cross-functional teams such as Supply Chain, Finance, and Marketing to understand business needs and deliver tailored forecasting solutio ns.Build and optimize machine learning models for forecasting using state-of-the-art techniques (e.g., ARIMA, Prophet, LSTM, etc .).Design and run experiments to validate forecasting models and continuously improve their accuracy and reliabili ty.Communicate complex data-driven insights and forecasting results to both technical and non-technical stakeholde rs.Ensure high-quality data inputs for forecasting models by working with data engineering teams to improve data collection, transformation, and integration process es.Stay current with the latest advancements in forecasting methodologies, tools, and techniques, and apply them to enhance existing mode ls.Provide thought leadership in forecasting and predictive analytics, driving innovation within the data science te am.Mentor junior team members and help establish best practices for forecasting across the organizati on. Qualificat ions Master’s or Ph.D. in Data Science, Statistics, Economics, Applied Mathematics, or a related quantitative f ield.4+ years of experience in developing and deploying forecasting models in a business environ ment.Expertise in time series analysis and forecasting techniques, including ARIMA, SARIMA, Holt-Winters, and advanced machine learning methods like gradient boosting, neural networks (e.g., LSTM, GRU), etc.Proficiency in programming languages such as Python or R, with strong experience in data manipulation, model building, and statistical anal ysis.Hands-on experience with forecasting tools and libraries, such as Prophet, scikit-learn, TensorFlow, PyTorch, etc.Strong understanding of data structures, data wrangling, and working with large data sets.Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and working in a distributed data environment is a plus.Excellent problem-solving skills and ability to translate complex data into actionable insi ghts.Strong communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audie nces.Experience with visualization tools like Tableau, Power BI, or similar to present forecasting outc omes.Ability to work independently and collaboratively in a fast-paced environ ment. Preferred Qualifica tions:Experience with demand forecasting, sales forecasting, or supply chain optimization in industries such as retail, manufacturing, or fi nance.Familiarity with statistical testing and experimentation (e.g., A/B tes ting).Experience deploying models in production environments and collaborating with engineering teams to build scalable solu tions.Previous experience in a consulting or client-facing role is a plus. Show more Show less