Role: Data Scientist
Industry Type: IT Services & Consulting
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Machine Learning
UG: Any Graduate
PG: Any Postgraduate
Job DescriptionWe are seeking an experienced Data Scientist with 5 to 6 years of hands-on experience to join our analytics and AI/ML team. The ideal candidate has a strong background in statistics, machine learning, data engineering, and business analytics, and is capable of turning complex data into actionable insights and predictive solutions.
Responsibilities
Key Responsibilities:
Work with stakeholders to identify business problems and translate them into data science solutions.
Build, evaluate, and deploy machine learning and statistical models.
Perform data wrangling, feature engineering, and exploratory data analysis (EDA) on large datasets.
Design and implement data pipelines and ETL processes.
Collaborate with engineering teams to deploy models into production.
Interpret model results, validate assumptions, and communicate findings to non-technical stakeholders.
Continuously monitor model performance and retrain as necessary.
Stay up to date with the latest trends, tools, and technologies in data science and AI.
Requirements
Required Skills & Qualifications:
56 years of experience in a data science or machine learning role.
Strong proficiency in Python (Pandas, NumPy, scikit-learn, TensorFlow/PyTorch)
Solid knowledge of machine learning algorithms, deep learning, NLP, or time series forecasting.
Experience with SQL and relational databases.
Experience with data visualization tools like QuickSight, Power BI, or Matplotlib/Seaborn.
Proficiency with cloud platforms like AWS.
Familiarity with version control systems (Git), Docker, and CI/CD workflows.
Strong communication skills and ability to present technical findings clearly to business stakeholders.
Preferred Qualifications:
Master's in Computer Science, Statistics, Data Science, Mathematics, or a related field.
Experience working with big data tools such as Spark or Kafka.
Prior experience in industries such as healthcare or retail.
Background in MLOps or data science productization is a plus.