Junior Data Scientist

Round 1: Technical interview – coding & ML concepts → Round 2: Technical interview – case study/project discussion → Round 3: HR interview

LinkedIn fosters an inclusive, merit‑based culture that encourages continuous learning and collaboration across teams. Employees benefit from robust professional development programs, flexible work arrangements, and a strong emphasis on work‑life balance.

Typical LinkedIn interview process involves three rounds: a technical coding round focused on data structures and algorithms, a domain‑specific data science round covering statistical concepts and model building, and a final HR round to assess cultural fit. Candidates are expected to solve problems within 45–60 minutes and discuss their past projects or coursework. Preparation tips include practicing Python coding, reviewing machine learning fundamentals, and preparing concise explanations of past data projects.

Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or related field. Minimum 70% aggregate (or equivalent). 0–1 year of relevant experience. Proficiency in Python and SQL. Familiarity with data manipulation libraries (pandas, NumPy) and machine learning frameworks (scikit‑learn, TensorFlow, PyTorch). Strong analytical and problem‑solving skills. No backlog policy specified.

Cron Labs Solutions Pvt Ltd is a fast‑growing technology firm headquartered in Bengaluru, Karnataka, that specializes in delivering AI‑driven solutions across various verticals such as finance, healthcare, and e‑commerce. With a strong focus on data‑centric product development, the company has built a reputation for leveraging cutting‑edge machine learning models and cloud infrastructure to solve complex business problems. Cron Labs prides itself on a collaborative culture where cross‑functional teams work together to iterate quickly and bring data insights to life. The Junior Data Scientist role is designed for fresh graduates or early‑career professionals with 0–1 year of experience. As a key member of the data science team, you will be responsible for end‑to‑end data workflows—from ingestion and cleaning to modeling and deployment. You will work closely with data engineers, product managers, and senior data scientists to translate business requirements into actionable data solutions. Key responsibilities include: 1. Designing and maintaining data pipelines using cloud platforms such as AWS or Azure. 2. Performing data extraction, transformation, and loading (ETL) tasks. 3. Building interactive dashboards and visualizations using Tableau or Power BI. 4. Scraping web data and integrating it into the data lake. 5. Writing efficient SQL queries for data extraction and manipulation. 6. Developing predictive models with scikit‑learn, TensorFlow, or PyTorch. 7. Conducting statistical analysis to uncover trends and patterns. 8. Collaborating with LLM teams to explore large‑language‑model use cases. 9. Documenting model assumptions, performance metrics, and deployment steps. 10. Communicating findings to stakeholders in clear, concise presentations. The tech stack you’ll work with includes Python, Pandas, NumPy, scikit‑learn, TensorFlow, PyTorch, SQL, Tableau, and cloud services like AWS S3 and Lambda. Growth opportunities are abundant: after proving yourself, you can move into senior data scientist, lead data science, or product manager roles. Why join Cron Labs? The company offers a dynamic work environment, exposure to real‑world data challenges, mentorship from seasoned experts, and a clear career ladder. Employees enjoy flexible working hours, a healthy work‑life balance, and a culture that values continuous learning and innovation. Overall, this role is ideal for data enthusiasts who want to build practical skills, contribute to impactful projects, and grow within a supportive tech ecosystem.