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58 Xcel Hires Management Solutions Jobs

Forecasting-Data Scientist

4-9 years

Hyderabad / Secunderabad

1 vacancy

Forecasting-Data Scientist

Xcel Hires Management Solutions

posted 5mon ago

Job Description

  • 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 forecasting.
  • Collaborate closely with client s cross-functional teams such as Supply Chain, Finance, and Marketing to understand business needs and deliver tailored forecasting solutions.
  • 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 reliability.
  • Communicate complex data-driven insights and forecasting results to both technical and non-technical stakeholders.
  • Ensure high-quality data inputs for forecasting models by working with data engineering teams to improve data collection, transformation, and integration processes.
  • Stay current with the latest advancements in forecasting methodologies, tools, and techniques, and apply them to enhance existing models.
  • Provide thought leadership in forecasting and predictive analytics, driving innovation within the data science team.
  • Mentor junior team members and help establish best practices for forecasting across the organization.
Qualifications
  • Master s or Ph.D. in Data Science, Statistics, Economics, Applied Mathematics, or a related quantitative field.
  • 4+ years of experience in developing and deploying forecasting models in a business environment.
  • 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 analysis.
  • 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 datasets.
  • 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 insights.
  • Strong communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audiences.
  • Experience with visualization tools like Tableau, Power BI, or similar to present forecasting outcomes.
  • Ability to work independently and collaboratively in a fast-paced environment.
Preferred Qualifications:
  • Experience with demand forecasting, sales forecasting, or supply chain optimization in industries such as retail, manufacturing, or finance.
  • Familiarity with statistical testing and experimentation (e.g., A/B testing).
  • Experience deploying models in production environments and collaborating with engineering teams to build scalable solutions.
  • Previous experience in a consulting or client-facing role is a plus.

Employment Type: Full Time, Permanent

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