04 Oct
|
Sutherland
|
Hyderabad
04 Oct
Sutherland
Hyderabad
Work Mode: Hybrid
Location: Hyderabad | Bangalore
NP-Immediate Joiners-30 Days
We are seeking a highly analytical and business-oriented professional with expertise in Machine Learning, Forecasting, Workforce Planning (Staffing), and Business Analysis.
This role requires good client-facing skills, a consultative mindset, and the ability to quickly learn new domains, methodologies, and technologies to deliver impactful solutions.
Key responsibilities
- Develop, implement, and optimize Machine Learning models/forecasting model to solve business challenges.
- Apply statistical and predictive modeling techniques to improve forecasting accuracy and operational outcomes.
- Analyze large datasets to identify trends, patterns, risks, and opportunities.
- Evaluate model performance and drive continuous improvements.
- Translate forecast outputs into actionable staffing and operational strategies
- Conduct root-cause analysis and translate business problems into analytical solutions.
- Present insights and findings to leadership and clients in a clear and compelling manner.
Technical skills:
- Strong understanding of Machine Learning algorithms and predictive analytics.
- LLMs and GenAI are valuable to have.
- Experience with forecasting techniques such as Time Series Analysis, ARIMA, Prophet, Exponential Smoothing, or equivalent methods.
- Proficiency in Python, SQL, and data visualization tools (Power BI, Tableau, or similar).
Education & Experience:
- Bachelors or master’s degree in data science, Statistics, Mathematics, Computer Science, Engineering, Operations Research, or a related quantitative field
- 3-7 years of experience in Analytics, Data Science, Forecasting, Business Analysis, or related roles.
- Experience working directly with client stakeholders and business leaders.
- Experience delivering end-to-end analytical projects from requirement gathering through implementation.
📌 Data Scientist _Forecasting and Analytics (Hyderabad)
🏢 Sutherland
📍 Hyderabad