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2 Days ago

Data Scientist (AI/ML)

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Mumbai, Maharashtra, India
Information Technology
Full-Time
Bosch Group

Overview

Company Description


Bosch Global Software Technologies Private Limited
is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.


Job Description


Roles & Responsibilities :

Assist in designing, developing, and deploying machine learning models.

  • Perform data cleaning, preprocessing, feature engineering, and exploratory data analysis (EDA).

  • Support in building predictive models and conducting A/B testing.

  • Work with cross-functional teams to understand data requirements and deliver insights.

  • Use tools like Python, TensorFlow, Scikit-learn, Pandas, etc., for algorithm development.

  • Interpret and communicate model outputs and business insights clearly.

  • Maintain documentation of experiments, models, and results.

  • Stay updated on the latest AI/ML research, tools, and trends.



Qualifications


Educational qualification:

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or related field.

Experience :


Mandatory
Skills :

  • Strong programming skills in Python or R.

  • Familiarity with data manipulation libraries (e.g., Pandas, NumPy).

  • Understanding of supervised and unsupervised ML algorithms.

  • Knowledge of tools such as Scikit-learn, TensorFlow, or PyTorch.

  • Basic understanding of SQL and data querying techniques.


  • Strong analytical, problem-solving, and communication skills.

  • Curious and self-motivated learner.

  • Ability to work collaboratively in a team environment.

  • Good attention to detail and documentation.

  • Time management and task prioritization.

  • Exposure to cloud platforms (AWS, Azure, GCP) or ML Ops tools is a plus.

  • Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).

  • Knowledge of NLP, computer vision, or deep learning is a bonus.

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