
Research Scientist
Chicago, ILJobSeen 1 day agoSeen in employer's feed 1 day ago
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Job overview
The Research Scientist will develop and apply machine learning innovations to large‑scale business problems, primarily in NLP, while assessing state‑of‑the‑art techniques, performing feasibility studies, and communicating results to non‑technical stakeholders. The role requires building relationships, ensuring scalable and maintainable solutions, and collaborating on integration and deployment within a diverse, inclusive team.
Skills & qualifications
Skills
Qualifications
Full job 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.
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Develop and apply machine learning innovations to business problems with minimal technical supervision.
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Assess your own and others’ results to understand their applicability in the real world.
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Understand stakeholders’ requirements and communicate results and conclusions accurately, clearly and winsomely.
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Perform feasibility studies and analyze data to determine the most appropriate solution.
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Work on many different data challenges, always ensuring a combination of simplicity, scalability, reproducibility and maintainability within the ML solutions and source code.
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Maintain and develop data and software with high-quality standards and minimal defects.
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Collaborate with technical colleagues on the integration and deployment of ML solutions.
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Encourage team building, motivation and cultivate effective team relations. Bachelor’s degree in computer science or an equivalent numerate discipline
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Bachelor’s degree in computer science or an equivalent numerate discipline
Skills and Requirements
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Demonstrated mid-level experience in Machine Learning and Deep Learning using Pytorch
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Experience performing EDA with large datasets and writing production-grade code
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Ability to understand scientific papers and develop the idea into executable code
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Analytical mindset, problem solving and logical thinking capabilities
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A high level of interpersonal and presentation skills in English across cultures
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Strong ability to meet deadlines.
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Keen to work as part of a diverse team of international colleagues and in a global inclusive culture
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Python, Pytorch, Git, pandas, sklearn, huggingface
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A minimum of 3 years’ experience with evidence in a related ML field
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Master's degree and/or specialization courses in ML/DL/NLP. PhD in science is an added value.
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Experience in MLOPs
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Understanding and practice of Generative AI (prompt engineering, RAG).
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A practical grasp of databases (SQL, ElasticSearch) and Databricks
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Experience in retail, consumer, ecommerce, business, FMCG domain.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].
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