Harman is hiring for Data Scientist

2023 Batch


2024 Batch


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Company Description


  • Bachelors’s degree or equivalent in Statistics, Computer Science, Data Science, Mathematics, or a related field.
  • 3+ years of experience working with data analysis and modeling techniques.
  • Proficiency in programming languages like Python, R, and SQL.
  • Familiarity with statistical analysis tools and libraries (e.g., pandas, numpy, scikit-learn).
  • Experience with machine learning algorithms and model building.
  • Excellent communication, presentation, and collaboration skills.
  • Strong analytical and problem-solving abilities.
  • Curiosity and passion for exploring and learning new data science techniques.
  • Ability to work independently and as part of a team.


  • Define and analyze business problems: Collaborate with cross-functional teams to understand critical business challenges and translate them into data-driven initiatives.
  • Design and implement data pipelines: Develop efficient pipelines to collect, clean, and transform raw data into usable formats for analysis.
  • Perform exploratory data analysis (EDA): Explore and visualize data to uncover hidden patterns, trends, and anomalies.
  • Develop and apply statistical models: Build and deploy machine learning models, including regression, classification, and clustering algorithms, to solve specific business needs.
  • Evaluate and communicate results: Analyze model performance, draw actionable insights from data, and effectively communicate findings to stakeholders across all levels.
  • Stay informed about data science trends: Continuously learn new techniques and technologies, remain at the forefront of the field, and share valuable insights with your team.
  • Collaborate effectively: Work seamlessly with engineers, scientists, business analysts, and other stakeholders to ensure successful project delivery.

Maintain a high level of code quality: Write clean, efficient, and documented code that adheres to best practices.

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.

At DataTpoint.com, we are dedicated to providing you with insights, resources, and opportunities to navigate the ever-evolving landscape of data-related fields.

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  • Career Opportunities: For job seekers and aspiring professionals, we offer insights into job trends, career paths, and off-campus job opportunities within the data and technology sectors.
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