Work Schedule
Standard (Mon-Fri)

Environmental Conditions
Office

Job Description

Assoc Data Scientist (AI/ML)/ AI SpecialistEngineer

Qualifications:

Education and Experience:

Bachelor's degree or equivalent and relevant formal academic / vocational qualification

Previous experience that provides the knowledge, skills, and abilities to perform the job (comparable to

0-2+ years).

In some cases, an equivalency, consisting of a combination of appropriate education, training.

and/or directly related experience, will be considered sufficient for an individual to meet the

requirements of the role.

Knowledge, Skills, and Abilities:

• Proficiency in applying statistics, programming, data modeling, simulation, and advanced mathematics to business questions, with a specific focus on Generative AI.
• Expertise in exploratory data analysis techniques, machine learning algorithms (including generative models), model validation techniques, and data visualization techniques.
• Strong knowledge in technical areas such as Snowflake, AWS EMR, Python, Spark, Shiny, Jupyter, and associated packages and libraries, specifically tailored to Generative AI.
• Exposure to modern cloud architectures, including NoSQL databases, lambda functions, Kafka, SageMaker, TensorFlow, etc., and their utilization in Generative AI workflows.
• Proficiency in data engineering techniques, including data pipelining, data wrangling, and data preprocessing, specifically tailored to support Generative AI workflows.
• Strong familiarity with data management approaches, including relational databases, data schemas, object stores, column stores, triple stores, graph stores, and/or document stores, with an emphasis on managing data relevant to Generative AI.
• Proven ability to deliver accurate work products in a multi-functional matrix environment while managing multiple competing priorities.
• Strong analytical skills, demonstrated proficiency in developing detailed analysis, models, plan calculations, and tools, with a specific focus on Generative AI applications.

• Work is performed in an office environment with exposure to electrical office equipment.
• Occasional drives to site locations with occasional travel both domestic and international.

• Frequently stationary for 6-8 hours per day.
• Repetitive hand movement of both hands with the ability to make fast, simple, repeated movements

• of the fingers, hands, and wrists.
• Frequent mobility required.
• Occasional crouching, stooping, bending and twisting of upper body and neck.
• Light to moderate lifting and carrying (or otherwise moves) objects including luggage and laptop
• computer with a maximum lift of 15-20 lbs.
• Ability to access and use a variety of computer software developed both in-house and off-the-shelf.
• Ability to communicate information and ideas so others will understand; with the ability to listen to
• and understand information and ideas presented through spoken words and sentences.
• Frequently interacts with others to obtain or relate information to diverse groups.
• Works independently with little guidance or reliance on oral or written instructions and plans work
• schedules to meet goals. Requires multiple periods of driven concentration.
• Performs a wide range of variable tasks as dictated by variable demands and changing conditions
• with little predictability as to the occurrence. Ability to perform under stress. Ability to multitask.
• Regular and consistent attendance.