Description
Description
Data Scientist
AArete is one-of-a-kind when it comes to consulting firm culture.
Why AArete?
We are a global, innovative management and technology consulting firm,
with offices in the U.S., India, and the U.K. Our name comes from the
Greek word for excellence: “Arete.” And excellence is exactly what we
strive fo
Our success starts with enriching and empowering our people. From robust
career development planning to competitive life and wellness benefits,
AArete’s “Culture of Care” takes a holistic approach to the employee
experience. At AArete, we encourage you to unlock your full potential by
directly contributing to our mission and prioritizing space for personal
development and fulfillment.
The Role
We are looking for a Data Scientist who will support our client teams with
insights gained from analyzing data leveraging advance analytics techniques.
They must have a proven ability to drive business results with their
data-based insights. They must be comfortable working with a wide range of
stakeholders and functional teams. The right candidate has the capability to
formulate data driven solutions in collaboration with stakeholders’ business
requirements.
Work You’ll Do
Work directly with client teams to identify opportunities for leveraging
advanced analytical techniques to drive business solutions
Mine and analyze data to drive optimization and improvement of business
strategies
Develop custom AI/ML models and algorithms to apply to data sets
Optimize prompts for Generative AI applications
Use Data driven insights to drive business outcomes and communicate the same
to stakeholders
Develop processes and tools to create and monitor data models while
maintaining accuracy and other associated metrics necessary for the business
objective
Fine-tune Large Language Models for specific business needs
Requirements
3-4 years of work experience with a bachelor’s degree in quantitative field
such as Computer Science, Statistics, Economics, Math, Engineering,
advanced degree preferred or 2-3 years of experience with an advanced degree
in an applied quantitative field
Previous experience working with relational databases and developing advanced
SQL queries is a must
Proven experienceworking with Large Language Models (LLMs) such as Claude
Anthropic, OpenAI’s ChatGPT, Meta Llama 2, Amazon Titan, Cohere
Command & Embed, or rAI21 Labs Jurassic
Experience performing data quality assurance and manipulation and
Experience with statistics and developing and testing models using various
machine learning algorithms
Experience working with ALL of the below technologies:
Python
AWS Sagemaker
AWS Bedrock
Supervised and Unsupervised Machine Learning
Experience producing data visualizations
Experience communicating insights to both technical and non-technical insights
concisely
Experience working with a business intelligence platforms: Tableau, Power
BI, etc.
Ability to communicate analytic findings to technical and non-technical
audiences
Ability to present to senior executives and client leadership
Self-motivated. Can-do spirit. Team-player. Flexible. Dependable. Detail
oriented. Resourceful
Must be legally authorized to work in the United States without the need for
employer sponsorship
Preferred Requirements
Based in Chicago, IL and flexible to work from our Chicago office as needed
Benefits
Flexible PTO, monthly half-day refuels, volunteer time off, 10 paid holidays
Own Your Day flexible work policy
Competitive majority employer-paid benefits: Medical, Dental, Vision,
401K Match
Employee Stock Ownership Plan
Generous maternity/paternity leave options
Completely employer paid Life Insurance, STD, LTD
Charitable contribution matching program
New client commission opportunities and referral bonus program
Video-free Fridays
Bike share discount program
About AArete
AArete is a global management and technology consulting firm speciali ing in
strategic profitability improvement, digital transformation, and advisory
services. Our cross-industry solutions are powered by modern technology,
market intelligence, and big data to drive purposeful change and actionable
outcomes.
