Data Scientist (2-5 Years Experience)

HR Central; Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

HR Central in Bengaluru seeks a data scientist to build and deploy machine learning and time series forecasting solutions that address real business problems.

You will collaborate with product, engineering and business teams, preprocess data, engineer features, and validate models while staying current with the latest research in ML and DL. Strong communication and mentoring skills are valued.

Qualifications

• Hands-on experience in data science, ML, and statistical modelling.
• 2-5 years in relevant field.
• Strong time series forecasting experience.
• Proficiency in Python and ML libraries.

Responsibilities

• Develop and implement machine learning and deep learning models for time series forecasting.
• Analyze large datasets to extract insights and trends.
• Design, build, validate predictive models ensuring scalability.
• Collaborate with cross-functional teams to translate requirements.
• Communicate findings to technical and non-technical stakeholders.
• Stay updated with latest ML research and apply new techniques.
• Mentor junior team members and promote learning.

Skills

Data science

Time series forecasting

Deep learning

Python

ML libraries

Education

Masters degree

Job description

Key Responsibilities:

• Develop and implement machine learningand deep learning modelsfor various business problems, with a strong focus on time series forecasting.
• Analyze large, complex datasetsto extract actionable insights and identify trends, patterns, and opportunities for improvement.
• Design, build, and validate predictive modelsusing 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 recommendationsclearly to both technical and non-technical stakeholders.
• Stay updated with the latest research and advancementsin machine learning, deep learning, and time series analysis, and proactively apply new techniques as appropriate.
• Mentor junior team membersand contribute to a culture of continuous learning and innovation.

Required Skills & Qualifications:

• 2-5 years of hands-on experiencein 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 skillsin Python (preferred), with proficiency in libraries such as NumPy, Pandas, scikit-learn, and visualization tools (Matplotlib, Seaborn, Plotly).
• Solid conceptual understandingof machine learning algorithms, deep learning architectures, and statistical methods.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Ability to learn quicklyand adapt to new technologies, tools, and methodologies.
• Strong problem-solving skillsand 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.