Senior Data Scientist

Senior Data Scientist

About the Role:

We are seeking a Senior Data Scientist who can leverage advanced analytics, machine learning, and NLP techniques to drive data-powered innovation at TurboHire. You will work across product, engineering, and business teams to design scalable models, solve complex problems, and contribute to the development of intelligent recruitment solutions.

Responsibilities:

• Use expertise in Python, NLP, machine learning, and problem-solving to design and deploy

data science solutions.

• Collaborate with product, marketing, and engineering teams to leverage data science in

solving cross-disciplinary problems.

• Develop and implement analytical and predictive models for product and service

development.

• Build tools and automation pipelines to optimize business processes.

• Mentor and coach junior data scientists, ensuring best practices in methodology, coding, and

experimentation.

• Work closely with ML engineers and software developers to productionize models with

scalability and robustness.

• Conduct in-depth data analysis to derive insights that guide decision-making and product

strategy.

Requirements:

• Bachelors or Masters degree in Engineering, Data Science, Statistics, Applied

Mathematics, or Computer Science.

• 3+ years of experience in data science or applied ML roles.

• Strong programming skills in Python (experience in Go is a plus).

• Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow,

PyTorch).

• Familiarity with Flask/Django and database technologies (MySQL, PostgreSQL, or

equivalent).

• Knowledge of data visualization, statistical modeling, and ML algorithms.

• Experience developing and managing data pipelines for machine learning systems.

• Exposure to GPU-accelerated workloads in production environments.

- Excellent communication skills and ability to work collaboratively in cross-functional teams.

Preferred Skills:

• Experience with vector databases (FAISS, Pinecone, Weaviate, Milvus) and embedding-

based retrieval.

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