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Data Scientist

Inclusively

Inclusively

Data Science
Chicago, IL, USA
Posted on Nov 16, 2024

Inclusively is partnering with a global creative agency to hire a Data Scientist. **Please note: this role is NOT an internal position with Inclusively but with the partner company.**

ABOUT INCLUSIVELY:

Inclusively is a digital tech platform that empowers job seekers with disabilities, caregivers, and veterans by using Success Enablers–accommodations and personalized workplace modifications that help all job seekers reach their full potential and excel. This includes all disabilities under the ADA, including mental health conditions (e.g. anxiety, depression, PTSD), chronic illnesses (e.g. diabetes, Long COVID), and neurodivergence (e.g. autism, ADHD).

Create your profile, select Success Enablers, and connect to jobs from our partnered employers who are committed to creating diverse and inclusive teams. When registering, you must acknowledge that this platform is for people with disabilities, caregivers, and veterans. However, Inclusively does not require candidates to disclose their specific disability to join the platform.

YOUR ROLE:

The Data Scientist provides support of the development of actionable insights, algorithms and computational solutions to real-world marketing challenges through the application of technology-based mathematical methods. Under the direction of the VP, Advanced Analytic Solutions, the Data Scientist works with multidisciplinary teams to inform, power, measure and optimize marketing efforts.

RESPONSIBILITIES:

  • Analyzes large and small internal and external datasets to extract actionable insights
  • Develop statistical models to drive targeting, messaging and strategic decision-making, which may include and is not limited to:
  • Marketing Mix (MMM) and Marketing Attribution (MTA) models
  • Profile-based, Behavioral, LTV and other customer segmentation models
  • Response, look-alike, loyalty, net lift and other sales models
  • Survival Analysis, In-market and other timing models
  • Leads, sales and other KPI forecasting models
  • Support iteration and feature enhancement of existing models
  • Create new or challenger models with methods, data, and/or tools that are currently not in production
  • Aid in code standardization, review, and versioning to increase efficiency and streamline process
  • Collaborate with other disciplines to explain insights around statistical output that helps describe the targeting group, consumer, or model tier to non-technical audiences

REQUIREMENTS:

  • Master’s degree in Computer Science, Data Science, Business Analytics, Statistics, Economics, or related discipline
  • 1-3 years experience applying statistical analysis and/or analytics-based programming to model, forecast and/or answer tactical and strategic questions
  • Working knowledge of database marketing principles, and databases and structure
  • Proficient in R or Python
  • Ideal candidate will have some experience with SparkML and/or other programming languages and API packages
  • Strong written and verbal communication skills

Our hybrid work model:

Our current hybrid model is designed to enable in-person connections and collaboration that is core to our culture, while also supporting flexibility for all employees. As such, we have the option to work from home two days per week, if we'd like.

Our company provides a competitive salary and comprehensive benefits plan. Benefits for this role include health/vision/dental insurance, 401(k), stock options, Healthcare & Dependent Flexible Spending Accounts, vacation, sick, and personal days and positive activism days, paid parental leave and disability benefits. A reasonable estimate of the salary for this role, at the time of posting, is $63,000 - $75,600. This range is specific to Chicago and multiple factors are considered in making compensation decisions including, but not limited to: skill set, experience and training, certifications; etc. This is an exempt position. If your requirements fall outside of this range, you are still welcome to apply.