Key Responsibilities:

- Develop and implement machine learning and deep learning models for various business problems, with a strong focus on time series forecasting.

- Analyze large, complex datasets to extract actionable insights and identify trends, patterns, and opportunities for improvement.

- Design, build, and validate predictive models using state-of-the-art techniques, ensuring scalability and robustness.

- Collaborate with cross-functional teams (Product, Engineering, Business) to translate business requirements into data science solutions.

- Communicate findings and recommendations clearly to both technical and non-technical stakeholders.

- Stay updated with the latest research and advancements in machine learning, deep learning, and time series analysis, and proactively apply current techniques as appropriate.

- Mentor junior team members and contribute to a culture of continuous learning and innovation.

Required Skills & Qualifications:

- 2-5 years of hands-on experience in data science, machine learning, and statistical modelling.





- Strong expertise in time series forecasting (ARIMA, XGBoost, RandomForest, TFT, NHITS, etc.) and familiarity with deep learning frameworks (TensorFlow, PyTorch).

- Excellent programming skills in Python (preferred), with proficiency in libraries such as NumPy, Pandas, scikit-learn, and visualization tools (Matplotlib, Seaborn, Plotly).

- Solid conceptual understanding of machine learning algorithms, deep learning architectures, and statistical methods.

- Experience with data preprocessing, feature engineering, and model evaluation.

- Ability to learn quickly and adapt to new technologies, tools, and methodologies.

- Strong problem-solving skills and a keen attention to detail.

- Excellent communication and presentation skills.

Preferred Qualifications:

- Experience with cloud platforms and MLOps tools.

- Exposure to big data technologies (Spark, Hadoop) is a plus.

- Masters degree in Computer Science, Statistics, Mathematics, or a related field.

📌 Data Scientist (2-5 Years Experience) (Bengaluru)
🏢 HR CENTRAL
📍 Bengaluru