Sr. Decision Scientist

Chicago, IL, United States

Blend360

Blend360 co-creates value with leading companies through the integration of data, advanced analytics, technology & people. Get in touch with us today.

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Company Description

Blend360 is an acclaimed, forward-thinking Data, Digital Marketing, & AI Solutions Company, dedicated to fueling remarkable outcomes for our Fortune 500 clients. Our trajectory is one of continuous expansion, emerging at the crossroads of cutting-edge analytics, data proficiency, technology, and digital marketing excellence. 

Job Description

We are seeking a Sr. Decision Scientist to support our Fortune 100 client, a global provider of healthcare and retail pharmacy services, in building industry-leading analytics, data, and technology platforms to help reimagine health care.  This position will sit within the Consumer Engagement Analytics team and will leverage advanced analytics, experimentation, causal inference, and strategic problem solving to grow our client’s product offerings.

The Details:

  • Location: Remote, Central Time (Chicago area preferred)
  • Duration: Through end of 2024 with possible extension
  • Benefits:  We do offer benefits to our full-time consultants, including Health, Vision, Dental, 401K plan, Life Insurance, Pretax Commuter Benefits, and an incredibly supportive team cheering you on!

What you’ll do:

As part of a team supporting the organization’s mobile app and website, you will be exposed to multiple business units across the organization. You’ll partner closely with business partners to:

  • Understand their problems and translate to analytics solutions.
  • Analyze customer journeys to identify opportunities to drive app adoption, engagement, retention, and conversion.
  • Develop personalization capabilities using machine learning to target specific audiences for relevant outreach.
  • Design online experiments (AB testing), measure, and optimize.
  • Leverage techniques like causal inference and MMM to supplement experiments where AB testing is not possible or appropriate.
     

A successful candidate will be one which is able to think independently and critically, enjoys ambiguous problems with data, is highly adaptable, and loves to collaborate with both technical and non-technical leaders.

Additional responsibilities include:

  • Perform analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and broad knowledge of the organization and/or industry.
  • Collaborate with business partners to understand their problems and goals, develop predictive models, statistical analyses, data reports and performance metrics.
  • Develop and participate in presentations with business partners to share analyses and drive product strategy.
  • Use strong programming skills to explore, examine and interpret large volumes of data in various formats.

Qualifications

Required Qualifications:

  • 3+ years of experience utilizing Python, SQL, and Tableau.
  • 3+ years of experience extracting actionable insights from the analysis and interpreting outcomes of complex models to present to business audiences including technical, non-technical, and senior leaders.
  • 2+ years of experience preparing data for analysis, working with data engineering team to create modeling dataset, assess completeness and quality of data, and perform feature engineering.
  • 2+ years of experience applying knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources.
  • 2+ years of experience with experimental design and measurement

Preferred Qualifications:

  • Experience designing online experiments (AB testing)
  • Strong ability to communicate technical concepts and implications to business partners.
  • Ability to communicate effectively and confidently with business partners, project team members, and senior management.
  • Ability to anticipate and prevent problems and roadblocks before they occur.
  • Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, experiment design, and predictive modeling and in-depth specialization in some areas.

Additional Information

The pay rate for this role is $45 per hour. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.

A diverse workforce is a strong workforce
To deliver growth at BLEND360 and for our clients, we believe as a Talent Solutions Company, we have a responsibility and unique opportunity to positively impact the workforce. Diversity has played a critical role in our history, our growth, and continues to have a profound impact on our success.  We are determined to have equality in the workplace, within our team and as an extension of our clients’ team.

BLEND360 is an equal opportunity employer.

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Tags: Causal inference Engineering Feature engineering Machine Learning Predictive modeling Python SQL Statistics Tableau Testing Unstructured data

Perks/benefits: 401(k) matching Career development Competitive pay Health care Insurance

Region: North America
Country: United States
Job stats:  2  1  0

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