Strides Digital – Junior Data Scientist

As a Junior Data Scientist, you will work closely with data engineers, product managers, and business stakeholders to design, develop, and deploy data-driven and AI-powered solutions that address real-world mobility and transport challenges. You will contribute to building scalable analytics pipelines, developing machine learning models, and translating data into actionable insights that support strategic decision-making.

Roles and Responsibilities:

• Perform data extraction, cleaning, transformation, and validation to ensure high-quality datasets for analysis and modeling.
• Conduct exploratory data analysis (EDA) using statistical techniques to uncover trends, patterns, correlations, and anomalies.
• Develop data visualizations, dashboards, and reports (e.g., Power BI, Python libraries) to communicate insights clearly to technical and non-technical stakeholders.
• Build, evaluate, and optimize machine learning models (e.g., regression, classification, clustering, time-series forecasting) to solve business problems.
• Support end-to-end model lifecycle including feature engineering, model training, validation, deployment, and performance monitoring.
• Collaborate with cross-functional teams to translate business problems into analytical use cases and deliver actionable insights.
• Assist in developing and maintaining data pipelines and workflows in collaboration with data engineering teams.
• Implement basic MLOps practices, including version control, reproducibility, model tracking, and documentation.
• Monitor model performance and data drift and propose improvements or retraining strategies where necessary.
• Ensure data governance, security, and privacy compliance in accordance with organizational and regulatory requirements.
• Document methodologies, datasets, assumptions, and results for transparency and reproducibility.
• Stay up to date with emerging tools, frameworks, and trends in data science, AI, and analytics to continuously improve team capabilities. 

Qualifications/Experience:

• Bachelor’s or Postgraduate degree in Data Science, Data Analytics, Statistics, Operations Research, Computer Science, Artificial Intelligence, or related field.
• 0–2 years of experience in data science, analytics, or related roles (internships/projects included).
• Proficiency in at least one programming language: Python (preferred) or R, and strong working knowledge of SQL.
• Familiarity with data science libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn.
• Experience with data visualization tools (e.g., Power BI, Tableau, or equivalent).
• Exposure to cloud platforms (Azure, AWS, or GCP) is a plus.
• Understanding of software development practices (Git, code versioning, testing) is an advantage. 

Skills Needed:

• Strong foundation in data analysis, statistics, and machine learning basics
• Proficiency in handling and analyzing large datasets with attention to detail
• Ability to derive insights and translate data into actionable outcomes
• Familiarity with Python/SQL and data visualization tools
• Eagerness to learn and adapt to new data tools, technologies, and analytical methods
• Good problem-solving and critical thinking skills
• Effective communication and teamwork abilities