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Data Science Strategist
2 months ago
Job Description:
We are seeking a skilled Data Science Strategist to drive data-driven decision-making across our digital platform. As a leader in quantitative insights, you will tackle complex problems to gain valuable customer behavior insights and promote product adoption.
Responsibilities:
Create models that influence product strategy and priorities using your skills in quantitative analysis, data mining, and machine learning.
Build machine learning pipelines that enhance data-based decision-making.
Collaborate with senior leaders across Product, Marketing, Engineering, and Design teams to ensure impactful, data-informed decisions.
Develop and lead machine learning-powered features on our Digital Customer Platform.
Qualifications:
MS/PhD in a quantitative field (e.g., Mathematics, Statistics, Computer Science).
5+ years of experience designing and deploying ML solutions.
Proficiency in Large Language Models (e.g., RAG, Generative AI) and NLP.
Strong skills in SQL/NoSQL, big data platforms (e.g., Hadoop, Spark), and programming (Python preferred).
Experience with data science tools (Pandas, Jupyter, TensorFlow) and machine learning techniques.
Cloud computing experience (AWS) and familiarity with MLOps.
About NearSource:
NearSource Technologies values diversity and is committed to equal opportunity. We are an inclusive and equitable employer that welcomes applications from qualified individuals. All qualified applicants will be considered regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as protected veterans.