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General information

IN_Gurgaon_Bldg # 10& 8 DLF Cyber City_HCS
Additional Location:
Gurgaon, India
Job Family:
Worker Type Reference:
Regular - Permanent
Pay Rate Type:

Description & Requirements

  • Candidates should have a minimum of 2 years of experience in data science or related roles.
  • Experience in feature engineering, hyperparameter tuning, and model evaluation is required.
  • Experience with machine learning and text mining tools and techniques such as clustering, classification, deep learning networks, reinforcement learning, and numerical algorithms is preferred.

Hands-on Technical Skills:

  • Proficiency in using tools such as Pandas, NumPy, Scikit-Learn, PyTorch, TensorFlow, and Keras is required.
  • Experience with visualization tools for sensors is preferred.
  • Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, and neural network details is required.

Proficiency in AI/ML Tools:

  • Familiarity with data science toolkits such as Jupyter Lab/Notebooks, Pandas, bash scripting, and Linux environment is preferred.
  • Familiarity with programming or scripting languages such as R or Python is required.

Deep Understanding of Key Concepts:

  • Candidates should have a deep understanding of key concepts in data science, including deep learning networks, statistical techniques, and mathematical foundations.
  • Knowledge of calculus, algebra, and other math concepts for building reliable and scalable models is required.

Practical Application of Skills:

  • Candidates should have experience in applying various deep learning networks, statistical techniques, and exploring and experimenting with new models.
  • Experience in transforming large-scale data into usable form for modeling and cross-validating models is required.

Familiarity with Tools and Programming Languages:

  • Familiarity with AI/ML tools and programming languages such as Jupyter Lab/Notebooks, Pandas, NumPy, Scikit-Learn, PyTorch, TensorFlow, Keras, R, and Python is preferred.

Problem Solving and Communication Skills:

  • Excellent problem-solving skills and the ability to communicate effectively are required.
  • Candidates should have the ability to present data and findings in a clear and concise manner.

Educational Qualifications:

  • Candidates should have a qualification in Computer Science, Operational Research, Statistics, Applied Mathematics, or any other engineering discipline.

Roles and Responsibilities:

  • Candidates should have experience in implementing algorithms, libraries, and tools for processing data and solving business problems.
  • Experience in automating algorithms in production and producing technical and non-technical reports is preferred.

Leadership and Team Management:

  • Experience in collaborating with internal stakeholders and working in a team environment is preferred.
  • Leadership and team management skills are a plus.

HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.