Data Science Specialist

Assistant Lead Engineer / Lead Engineer – Data Science

Location:

Experience:

Compensation:

Joining:

🧠 Key Responsibilities

• Demonstrate technical proficiency in at least one data science domain:

  Computer Vision / NLP / ML / Forecasting

  .
• Translate client requirements into actionable project tasks and technical deliverables.
• Lead and guide project teams in designing, developing, and deploying data solutions.
• Provide

  technical mentorship

  to team members on tools, algorithms, and best practices.
• Ensure adherence to quality standards, model performance benchmarks, and data accuracy.
• Drive innovation and contribute to the creation of new

  data science solution offerings

  .
• Identify opportunities for upskilling and promote a culture of learning within the team.
• Collaborate with stakeholders to build strong

  client relationships

  and deliver measurable value.
• Stay updated on

  emerging data science trends

  and recommend new methodologies or tools.
• Begin developing skills in

  data engineering, MLOps, product engineering, or cloud platforms

  .

🧩 Required Skills & Competencies

• Strong hands-on experience with

  Python / R / TensorFlow / PyTorch / Scikit-learn / Keras

  .
• Expertise in

  model building, validation, and deployment

  .
• Working knowledge of

  data wrangling, feature engineering, and model interpretability

  .
• Familiarity with

  cloud environments

  (AWS, Azure, GCP).
• Excellent analytical, problem-solving, and communication skills.
• Ability to mentor teams and handle complex projects independently.