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Strategic Data Scientist

Abundiant, LLC • Full-time • Remote (United States) • $70 - $85 / hour • 1w ago

Abundiant is a digital transformation consulting and professional services firm that partners with institutions to deliver world-class Data Analytics and Solutions, Management Consulting, and Ongoing Client Support. Established in 2016, we are a young firm with more than a half century of experience in delivering and supporting digital transformation, change, and implementation programs. Led by experts in this field, we are seeking experienced and young professionals to grow with us and tackle our clients’ objectives.

As a consulting centric firm, we have a prevailing results-based standard: delivering sustainable solutions to every client. In other words, our approach creates resources, tools, and methods that our clients can operate long after we leave. We are dedicated to creating outcomes that our clients love.

What We Are Seeking:

We are hiring an experienced and Strategic Data Scientist to develop a plan for and help a client optimize automated data interfaces and replications across two vital operational databases, streamline data flows from systems at over 5,000 sites and related partners, minimize the need for data clean up after replications and interfaces are complete, and create data analytics, visualizations, and other automations as needed. The position is a contract-to-hire opportunity, with a goal of long-term employment with our team.

Hard Skills Required:

· Proficiency analyzing and optimizing data flows between structured and unstructured data systems, and creating data and system architecture

· Proficiency with data integration to automate Extract, Transform, Load (ETL) processes

· Knowledge of the Microsoft Power Suite including Power BI, Power Apps, Power Automate, and managing large collections in Azure

· Demonstrated skills in Project Management (creating timelines, milestones, and monitoring progress), Time Management, Business Writing, and Professional Communications

· Mastery of communicating complex data analytics solutions to non-technical users, delivering technical expertise in a client-facing capacities

Soft Skills Required:

· Knowledge of business procedures and processes, ideally in the healthcare industry

· Ability to understand the business challenges then develop and test solutions

· Communication skills to present to key stakeholders

· Negotiation and persuasion skills to bring disparate service providers and software providers together to solve according to client priorities and to meet client needs

· Positive attitude in both effort and enthusiasm

· Willingness to learn

· Flexibility to accept changing needs of key stakeholders

Qualifications and Experience Requirements:

· Experience in information technology and data analytics, and a bachelor’s degree in a technical field such as Computer Science or Management Information Systems; demonstrated high-level coursework in these subjects; or equivalent experience

· Experience in analyzing, cleaning, transforming, and automating data and processes, as well as analyzing and creating schema and data models

· Experience or coursework in data architecture, data transformation, and data visualization

· Measurable ability to present data-focused insights, visualizations, solutions, and ideas in working sessions

· Experience designing, developing, and implementing digital processes to meet internal and external client objectives

· Proven experience in delivering upon agreed timelines and plans

Role Classification: Contract-To-Hire

Role Type: Hybrid (mostly remote)

Hours: Full-time

Competitive Benefits Available

Must be able to work for any US employer without H1B sponsorship or C2C arrangement.

Not A Perfect Fit? We don’t hire machines; we hire talented, high-integrity people with diverse experiences, backgrounds, and skills. If you feel that you meet the requirements of this job description and could do this job effectively, we want to see your resume.

Job Types: Full-time, Contract

Pay: $70.00 - $85.00 per hour

Expected hours: 35 – 40 per week

Application Question(s):