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    Senior Research Scientist - pune, India - NielsenIQ

    NielsenIQ
    NielsenIQ pune, India

    6 days ago

    NielsenIQ background
    Full time
    Description

    Job Description

    We are a team of passionate, curious and diverse professionals who care about each other, our work, our company and the world. We are looking for someone who combines skill in machine learning with an ability to connect with people and see the wider context for a range of business problems.

    You will be responsible for assessing state-of-the-art techniques and applying them to large scale problems, mainly in the domain of NLP. To solve problems effectively, you will need to be able to build relationships and understand the business context in which we are operating. This position will suit someone who has a deep understanding of machine learning and is comfortable presenting clearly and winsomely to a non-technical audience.

    NielsenIQ helps companies to meet the needs of people all over the world for food, health, hygiene, tech and durable products. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. This position opens the opportunity to research and apply state-of-the-art AI/ML techniques to strategic global projects.
    Responsibilities:

  • Develop and apply machine learning innovations to business problems with minimal technical supervision.
  • Assess your own and others' results to understand their applicability in the real world.
  • Understand stakeholders' requirements and communicate results and conclusions accurately, clearly and winsomely.
  • Perform feasibility studies and analyze data to determine the most appropriate solution.
  • Work on many different data challenges, always ensuring a combination of simplicity, scalability, reproducibility and maintainability within the ML solutions and source code.
  • Maintain and develop data and software with high-quality standards and minimal defects.
  • Collaborate with technical colleagues on the integration and deployment of ML solutions.
  • Encourage team building, motivation and cultivate effective team relations.

    • Qualifications

  • Bachelor's degree in computer science or an equivalent numerate discipline
  • Demonstrated senior-level experience in Machine Learning and Deep Learning using Pytorch
  • Experience performing EDA with large datasets and writing production-grade code
  • Ability to understand scientific papers and develop the idea into executable code
  • Analytical mindset, problem solving and logical thinking capabilities
  • A high level of interpersonal and presentation skills in English across cultures
  • Strong ability to meet deadlines.
  • Keen to work as part of a diverse team of international colleagues and in a global inclusive culture
  • Python, Pytorch, Git, pandas, sklearn, huggingface
  • A minimum of 7 years' experience with evidence in a related ML field
    Good to Have:
  • Master's degree and/or specialization courses in ML/DL/NLP. PhD in science is an added value.
  • Experience in MLOPs
  • Understanding and practice of Generative AI (prompt engineering, RAG).
  • A practical grasp of databases (SQL, ElasticSearch) and Databricks
  • Experience in retail, consumer, ecommerce, business, FMCG domain.

    • Additional Information

  • Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms.
  • Recharge and revitalize with help of wellness plans made for you and your family.
  • Plan your future with financial wellness tools.
  • Stay relevant and upskill yourself with career development opportunities

    • About NIQ

    NIQ is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View.

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