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Senior Data Scientist

Diverse Lynx

Role overview

Qualifications

  • 2+ years of proven experience building deep learning models for large-scale recommender systems
  • Proficiency in ML frameworks such as TensorFlow or PyTorch
  • Proficiency in SQL, Python and Spark for data analysis and manipulation
  • Experience working with LLMs or Generative systems in applied settings

Responsibilities

  • Design and improve recommender systems for customer experiences
  • Apply Generative AI models to enhance personalization and customer facing features
  • Design and run A/B tests and segmentation-based experiments
  • Build and curate datasets to support ML and AI applications

About the company

Diverse Lynx logo

Diverse Lynx

IT Services & IT Consulting

We are a WBENC and NMSDC certified company helping our clients in their Diversity spending on Staffing or Contingent Workforce Services. Established in 2002 and headquartered out of Princeton-NJ, our 2000+ associates’ strength globally helps clients with talent across Technology, Healthcare, Life Sciences, Aerospace, Automotive, Energy, Pharmaceuticals, Retail, Telecom, Manufacturing and Engineering domains. Our presence in USA, Canada & India helps us support clients in IT, Non-IT, Healthcare, Hospital and Clinical hiring, across the globe.

Company details

Company typeLarge
IndustryIT Services & IT Consulting
Company size1001 - 5000

Links

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Job description

Job Description
Must Have Technical/Functional Skills
  • 2+ years of proven experience building deep learning models for large-scale recommender systems.
  • Proficiency in ML frameworks such as TensorFlow or PyTorch.
  • Proficiency in SQL, Python and Spark for data analysis and manipulation. Experience working with Databricks is a plus.
  • Proficiency with statistics, design of experiments, exploratory data analysis, and insights generation.
  • Experience working with LLMs or Generative systems in applied settings.
  • Experience working with cloud platforms like Azure or GCP.
  • Experience working with Data Engineering and MLOps is desirable.
  • High level of independence to develop and own toolkits, pipelines, and dashboards.

Roles & Responsibilities
  • Recommender Systems Development. Design and improve recommender systems for customer experiences. Develop models that combine user behavior, product data, and contextual signals. Partner with engineering to deploy and iterate on models in production.
  • AI & LLM-driven Systems. Apply Generative AI models to enhance personalization and customer facing features. Design hybrid systems that combine structured ML models with LLM-generated outputs. Evaluate AI-driven outputs using business and user-centric metrics.
  • Experimentation & Measurement. Design and run A/B tests and segmentation-based experiments. Develop measurement frameworks for personalization. Translate results into actionable insights and model improvements.
  • Data & Workflow Development. Build and curate datasets to support ML and AI applications. Identify opportunities to make data more usable for AI-driven systems. Partner with engineering teams to develop scalable pipelines.
  • Cross-functional Collaboration. Work closely with product owners, engineers, and data scientists to define and deliver solutions. Communicate technical findings clearly to both technical and non-technical audiences. Operate with high ownership in ambiguous, fast-moving environment.






Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
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