Data Scientist / Analyst

Turing's interview process typically starts with a timed online assessment focusing on Python coding and SQL queries, followed by a technical interview that dives deep into data modeling, statistical concepts, and machine‑learning fundamentals. The final HR round assesses cultural fit, communication skills, and motivation. Candidates should practice problem‑solving under time pressure and be ready to discuss real‑world data projects.

Turing promotes a results‑oriented, remote‑first culture where employees are judged on output rather than hours logged. The company offers continuous learning opportunities, mentorship, and a collaborative environment that encourages knowledge sharing across global teams. Employees enjoy a healthy work‑life balance with flexible schedules and supportive leadership.

• Minimum Bachelor's degree in Computer Science, Information Technology, Statistics, Mathematics, Engineering (any branch) or related field. • CGPA/Percentage ≥ 60% (or equivalent). • Batch year 2025 or 2026 (fresh graduates). • No active backlogs at the time of joining. • Strong foundation in Python programming, SQL, statistics, and basic machine‑learning concepts. • Good communication skills in English, both written and verbal.

Round 1: Online assessment (Python coding & SQL queries) → Round 2: Technical interview (data modeling, statistics, ML concepts) → Round 3: HR interview (cultural fit and motivation)

Turing is a global technology platform that connects top engineering talent with leading companies worldwide. Founded with the vision of creating a borderless workforce, Turing leverages AI‑driven matching to place developers, data scientists, and analysts on remote projects that demand high‑impact solutions. The company prides itself on a merit‑based culture, continuous learning, and a strong emphasis on work‑life balance, allowing employees to work from anywhere while collaborating with world‑class engineering teams. As a Data Scientist / Analyst at Turing, you will be part of a fast‑growing analytics team that turns raw data into actionable insights for both internal stakeholders and external clients. The role is designed for fresh graduates or candidates with up to one year of experience who are eager to apply their knowledge of Python, SQL, statistics, and machine learning to solve real‑world business problems. You will work on diverse datasets ranging from user engagement metrics to product performance dashboards, helping the organization make data‑driven decisions that improve product quality, customer satisfaction, and revenue growth. **Key Responsibilities** 1. Collect, clean, and preprocess structured and unstructured data from multiple sources. 2. Perform exploratory data analysis to uncover trends, patterns, and anomalies. 3. Develop and validate statistical models and machine‑learning algorithms to predict key business outcomes. 4. Create interactive visualizations and dashboards using tools such as Tableau, PowerBI, or Python libraries (Matplotlib, Seaborn, Plotly). 5. Write efficient SQL queries to extract and manipulate data from relational databases. 6. Collaborate with product managers, engineers, and senior analysts to define data requirements and deliver insights. 7. Document analytical methodologies, code, and findings to ensure reproducibility and knowledge sharing. 8. Participate in code reviews and adopt best practices for version control (Git) and collaborative development. 9. Stay updated with the latest advancements in data science, machine learning, and analytics techniques. 10. Contribute to the continuous improvement of the data pipeline and analytics infrastructure. **Tech Stack**: Python (Pandas, NumPy, Scikit‑learn), SQL (MySQL/PostgreSQL), Jupyter Notebooks, Git, Tableau/PowerBI, Docker (basic), Linux command line. **Growth Path**: Starting as a Junior Data Scientist / Analyst, high performers can progress to Data Analyst II, Data Scientist, Senior Data Scientist, and eventually lead a data‑science team or specialize in advanced AI research within Turing. **Why Join Turing?** - Remote‑first culture that offers flexibility to work from any location while staying connected to a global community. - Exposure to cutting‑edge projects for Fortune‑500 clients, providing a steep learning curve. - Structured mentorship programs and regular knowledge‑sharing sessions to accelerate skill development. - Competitive compensation, performance‑based bonuses, and a transparent career progression framework. - Emphasis on work‑life balance, with generous PTO, wellness initiatives, and a supportive leadership team. This role is an excellent launchpad for aspiring data professionals who want to build a solid foundation in analytics and machine learning while enjoying the freedom of remote work.