AI Data Scientist

Location:

San Francisco
Job Type: Full-time
Department:
Software Development/Engineering

Reports To:

CTO

About the Role:

We are looking for a talented and driven AI Data Scientist to join our dynamic team working to make AI accessible to all. I n this role, you will help us make better business decisions based on our data. The ideal candidate will have a working knowledge of statistics, mathematics, and data science programming languages (e.g., SQL, R, Python). Your primary responsibilities will be performing statistical analyses, running custom SQL queries,and identifying patterns and trends that can improve our products’ and services’ efficiency and usability.

You will also be expected to maintain and improve our data infrastructure and tools ( design, develop, and maintain web applications and platforms ) , working across both front-end and back-end systems. You will collaborate with cross-functional teams to deliver scalable and innovative solutions that are challenging to build but have a large impact .

This is an exciting opportunity to work in a fast-paced environment and contribute to building innovative applications that make a meaningful impact.

Key Responsibilities:

• Work with stakeholders help define product roadmap and ML/AI toolsets

• Work with developers to Build, deploy, and maintain data management systems and back-end data infrastructure for our business intelligence pipeline

• Help define and create tools for customers to use data visualizations, reports, dashboards, and data audits

• Proactively participate in developing scalable Business Intelligence (BI) tools and predictive analytics solutions using a variety of techniques ranging from data aggregation to data mining.

• Prepare presentations and reports of statistical concepts and research results related to efficiency initiatives to be shared with a non-statistical audience and senior stakeholders.

• Understand customer needs of a variety of industries and help build and design toolsets for customers.

• Perform other duties as assigned.

Qualifications and Skills:

Required:

• Bachelor's degree in data science, data analytics, or related field

• At least 6 –10 years of experience in data science with expert-level Python, SQL, and statistical modelling experience

• Proven experience as an AI Data Scientist or similar role

• Proficiency in program languages (Python, R)

• Proficiency in machine learning (Tensor Flow)

• Knowledge of data science toolkits - Num Py

• Working knowledge of statistical models and business intelligence

• Familiarity with cloud-based infrastructure

• Experience in developing LLM systems, RAG pipelines, and ML pipelines

• Proficiency in Git/Git Hub, and Docker

• Proficiency in database design and management (SQL/No

SQL)

• Analytical thinking for dissecting complex data and extracting valuable insights

• Problem-solving for systematically approaching problems and devising practical solutions

• Must reside in the San Francisco Bay Area

Preferred:

• Master’s degree or Ph.D. in a quantitative field, such as statistics, computer science, data science, mathematics, or engineering, or a related field – or equivalent experience or education

• Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques

• Familiarity with real-time data processing frameworks

• Experience with fundamental AWS services and concepts

• Experience with Queueing systems (Rabbit

MQ / Kafka / etc.)

• Understands and supports MLOps practices

• Proficient with Cloud Based Data Science Tools and Processes

• Create data visualizations, reports, dashboards, and data audits

• Leverage predictive models to optimize customer experiences

• Understanding automated anomaly detection processes/ methods

• Work closely with product managers, designers, and other developers & engineers to ensure project goals are met

• Work across time zones to interact with remote teams

• Participate in code reviews, brainstorming sessions, and team stand-ups

• Comfortable interacting with Management and Engineering staff to use Data Science to bring ideas and analysis into production products

• Analytical skills with an ability to independently evaluate and develop…