Data Science

Responsibilities

• Business Stakeholder Collaboration

Objective:

• Enhance synergies with the software team.

• Scope: Leverage your advanced data science acumen to pinpoint novel opportunities and disseminate insights throughout the company.

• Initiative: Champion the integration of cutting-edge Large Language Models (LLMs)

• Expectation: As a vanguard in our data science division, you're tasked with leading dialogues and initiatives focused on leveraging LLMs to augment product development and streamline processes for clients.

Data Acquisition & Preparation

• Process: Secure and aggregate data from a spectrum of sources, prioritizing data integrity and contextual relevance.

• Implementation: Employ meticulous methodologies to cleanse, preprocess, and structure raw datasets, preparing them for comprehensive analysis.

Analytical Modeling

• Activity: Execute exploratory data analyses to unearth underlying patterns, trends, and correlations.

• Outcome: Develop and refine predictive models utilizing advanced machine learning techniques to support data-driven decision-making.

Model Deployment & Integration

• Collaboration: Work in concert with our elite cadre of data engineers.

• Function: Facilitate the seamless deployment and ongoing management of sophisticated data science pipelines, ensuring operational efficacy and alignment with organizational objectives.

Qualifications

• A minimum of 5 years of experience as a Data Scientist with hands-on expertise.

• Preferably a Masters or PhD in a quantitative field such as Computer Science, Statistics, Mathematics, or related disciplines.

• Proficiency with Python including machine learning libraries.

• Proficiency with SQL (we use BigQuery and PostGreSQL).

• Experience with MLOps tools such as Vertex AI or similar.

• Experience in developing, implementing and maintaining machine learning models in production.

• Experience with dbt or similar tools.