Senior Data Scientist Forecasting

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

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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