Offer summary

Qualifications:

MS/PhD in a quantitative field such as Mathematics, Statistics, or Computer Science., 5+ years of experience in designing and deploying machine learning solutions., Proficiency in Large Language Models and Natural Language Processing., Strong skills in SQL/NoSQL, big data platforms, and programming, preferably in Python..

Key responsabilities:

Analyze complex problems to derive insights into customer behavior and enhance product adoption.

Develop machine learning models to inform product strategy and priorities.

Build machine learning pipelines to support data-driven decision-making.

Collaborate with cross-functional teams to ensure data-informed decisions and mentor junior team members.

Job description

Were hiring a Senior Data Scientist to join our team and drive data-driven decision-making across our digital platform. Apply now to be part of the team

Responsibilities:

Tackle complex problems to gain insights into customer behavior and promote product adoption.
Use your skills in quantitative analysis, data mining, and machine learning to create models that influence product strategy and priorities.
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.
Lead and mentor team members, driving ML-powered features on our Digital Customer Platform.

Minimum 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.

APPLY NOW!

NearSource Technologies values diversity and is committed to equal opportunity. 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.