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Forecasting-Data Scientist

Xcel Hires Managment Solutions Pvt Ltd

4-9 years

Hyderabad / Secunderabad

1 vacancy

Xcel Hires Management Solutions

posted 3mon ago

Key skills for the job

+ 4 more

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

Functional Areas: Analytics & Business Intelligence