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Data Scientist
Data ScientistAArete • Denver, CO, United States
Data Scientist

Data Scientist

AArete • Denver, CO, United States
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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 for.

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
  • Other duties as assigned

Requirements

  • 3 + years of work experience with a bachelor's degree in quantitative field such as Computer Science, Statistics, Economics, Math, Engineering
  • Previous experience working with relational databases and developing advanced SQL queries is a must
  • Proven experience working 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
  • 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
  • Willingness to engage in direct client interaction, including travel to client locations
  • 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
  • Compensation & 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 paid parental leave options
  • Employer paid Life Insurance, STD, LTD
  • Charitable contribution matching program
  • New client commission opportunities and referral bonus program
  • Bike share discount program
  • The estimated base salary range for this position is $100,000-$125,000 . In addition to this base salary, individuals may be eligible for an annual discretionary bonus. This range is a part of a competitive, total compensation package together with our Employee Stock Ownership Plan, majority employer-paid benefits, and incentive pay for eligible roles. Please note that this range is a guideline and individual total compensation may vary due to numerous factors including but not limited to experience level, certifications, and other relevant business considerations.

    AArete will accept applications until the position is filled. The job posting will be removed once the role is no longer available.

    We put humans at the center of our work

    We're a global management and technology consulting firm specializing in strategic profitability improvement, digital transformation, and strategy & change for clients. Our cross-industry solutions are powered by a digital-first mindset, market intelligence, and data-driven approach to deliver purposeful change, actionable insights, and guaranteed results.

    But what sets us apart is our people. We are guided by our deeply embedded guiding principles : Excellence, Passion, Loyalty to Clients, Stewardship, Family, Community, Sustainability, and Inclusion.

    And we've been recognized as a top firm to work for by companies like Forbes, Top Workplaces Chicago Tribune, and Consulting Magazine.

    We've earned a Great Place to Work Certification and been named a World's Best Management Consulting Firm by Forbes, Vault's Top 50 Firms to Work For, Crain's Chicago Business Fast 50, Inc 5000's Fastest Growing Firms, and Consulting Magazine's Fastest Growing Firms.

    Learn more about our award-winning culture

    We are an Equal Employment Opportunity Employer

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

    #LI-DNI

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