Work Schedule
Other
Environmental Conditions
Office
This is a 100% remote position. Candidate of choice must be located in the United States.
Summarized Purpose:
Drives analytics modeling based on exploratory data analysis through application of statistics, machine learning, programming, data modeling, simulation, and/or mathematics to recognize patterns, find opportunities, and generate valuable predictive business insights in support of innovative business decisions. Supports organization leadership through data-driven decision validation and support. 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 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 cross-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.
Management Role: No management responsibility
Working Conditions and Environment:
- 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.
Physical Requirements:
- 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 intense 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.
Percent Billable: 0% – 20%
statistics Analytical skills data-management Apache Spark Data Engineering Apache Kafka Amazon EMR data-preprocessing snowflake-cloud-data-platform remote work validation data-modeling Machine Learning jupyter Amazon SageMaker Software Developer GenAI mathematics Python simulation data-visualization modeling shiny Analytics TensorFlow RDBMS NoSQL