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Data Scientist jobs in Bengaluru, Karnataka

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    • Perform data collection, preprocessing, feature engineering, and exploratory data analysis.
    • Strong interpersonal and communication skills: ability to tell a…
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    • Participate in data collection and preprocessing efforts.
    • Visualize data insights using appropriate tools and techniques.
    • Analyze structured and unstructured data to generate actionable insights.
    • Develop and optimize data science models for production environments.
    • Translate complex data and methodology into strategic, operationally feasible insights and recommendations.
    • Proficiency with data visualization tools (Looker,…
    • Should have sound experience in data mining and data analysis.
    • Must have a passion for data, structured or unstructured.
    • Familiarity with medical data standards (ICD-10, SNOMED, drug databases).
    • Implement cost-cutting strategies across cloud infrastructure, LLM API usage, and data…
    • The incumbent should have strong aptitude for numbers experience in any domain and willingness to learn some cutting edge technologies.
    • Communicate complex analytical concepts effectively to audiences at all organizational levels through clear, data-driven storytelling.
    • The ideal candidate will have a strong background in statistical analysis, machine learning, data visualization, and big data technologies.
    • Contributes to the exploration, refinement and deployment of data science solutions.
    • Demonstrates ability and initiative to identify and explore novel…
    • Perform data collection, cleaning, feature engineering, and exploratory data analysis.
    • Familiarity with SQL and working with structured data sources.
    • Python-Centric ETL: Architect and maintain robust data pipelines using Python (Pandas, PySpark) to ingest, clean, and harmonize data from Linear TV logs and…
    • Collect, clean, and preprocess data for analysis; 3.
    • Conduct exploratory data analysis and interpret results to provide actionable recommendations; 5.
  • View similar jobs with this employer
    • Utilize Amazon S3 Buckets for scalable data storage and efficient data retrieval.
    • In this role, you will design, build, and optimize data pipelines, manage…
    • Work closely with Data Engineers to design scalable data pipelines and ensure efficient data flow for model training and evaluation.

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Job Post Details

Data Scientist - job post

Bosch Group
4.0 out of 5 stars
Bengaluru, KarnatakaRemote

Job details

Job type

  • Full-time

Full job description

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 27,000+ 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


Job Description

Education and Work Experience Requirements:

  • 5 to 8 years of experience as Data Scientist or GenAI specialist
  • 2 to 3 years of experience in Generative AI solution development·
  • Proven track record and experience with with GenAI technologies
  • Open source LLMs like Llama, Gemma, Mixtral etc o Closed source LLMs such as Open AI GPT, Azure Open AI, Claude, Gemini etcPrompt Engineering/Tuning, RAG, RAFT, LLM finetuning such as PEFT(LoRA, QLoRA ..)
  • Understand business problems and translate them into AI/ML solutions.
  • Perform data collection, preprocessing, feature engineering, and exploratory data analysis.
  • Build statistical models to identify trends, correlations, and business insights.
  • Develop supervised and unsupervised machine learning models.
  • Design and optimize deep learning architectures for Computer Vision and NLP tasks.
  • Understanding of SLMs such as Phi3, BERT and Transformer architectureo Vector databases like Pincone, Qdrant etc.·
  • Good knowledge of advanced statistical methods. Experience working with Text Data using transformer-based model·
  • Expertise with the following scripting languages:o Python, R, Tensorflow, Keras, Pytorcho OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Large Language Models, Knowledge Graphs·
  • Good and experience of machine learning algorithms and ability to apply them in supervised and un-supervised NLP tasks.·
  • Knowledge of NLP algorithms that can handle various NLP tasks such as intent recognition, entity extraction, language modeling, text classification, question answering, text summarization, topic modeling and so on.·
  • Experience building and fine-tuning Language Models (LMs), such as BERT, ELMo, XLNet etc to solve bespoke NLP tasks.·
  • Tech savy and willing to work with open-Source Tools·
  • Should have independently handled a project technically and provided directions to the other Team Members. Able to lead the project independently.·
  • Experience in turning ideas into actionable designs. Able to persuade stakeholders and champion effective techniques through development.·
  • Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company.·
  • Good to have foundational knowledge on Cloud, API frameworks like Flask, Fast API, Swagger/Postman tools·
  • Prior experience working on Mobility or Healthcare domain will be a plus

Mandatory Skills:

  • Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models.·
  • Strong understanding of LLMs, and associated technologies like RAG, Agents, VectorDB and Guardrails·
  • Hand-on experience in GenAI frameworks like LlamaIndex, Langchain, Autogen, etc.·
  • Experience in cloud services like Azure, GCP and AWS·
  • Interact with our research team and with key partners in the market to build end-to-end AI/ML/NLP solutions: Conversational AI, document understanding and QnA.·
  • Mine and analyze data, applying statistical methods as necessary, pertaining to customers’ discovery, and viewing experiences to identify critical product insights.·
  • Proactively develop new metrics and studies to quantify the value of different aspects of product.·
  • Drive efforts to enable product and engineering leaders to share your knowledge and insights through clear and concise communication, education, and data visualization.·
  • Translate analytic insights into concrete, actionable recommendations for business or product improvement.·
  • Build and improve reusable tools & modelling pipelines and support

Qualifications
  • BE,BTech,MCA or PHD

Additional Information
  • 5-8 years
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