*Inclusively is partnering with a global creative agency to hire a Data Scientist.
*
*ABOUT INCLUSIVELY:*
Inclusively is a digital tech platform that connects candidates with disabilities, who may benefit from workplace accommodations, to inclusive employers.
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).
*Applicants with one or more of these conditions are encouraged to apply; Inclusively does not require applicants to disclose their specific disability.
*
*YOUR RESPONSIBILITIES:*
* Collaborates with Experience Analytics team to understand opportunities to apply data science for more effective communication strategies
* Analyzes large and small internal and external datasets to extract actionable insights
* Develop statistical models to drive targeting, messaging and strategic decision-making, to include but not limited to:Profile-based, Behavioral, LTV and other customer segmentation models
Response, look-alike, loyalty, net lift and other sales models
Mixed media and marketing attribution models
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 and wrap insights around statistical output that helps describe the targeting group, consumer, or model tier to non-technical audiences
*REQUIRED SKILLS:*
* Bachelor’s degree in Statistics, Computer Science, Math, Engineering, Economics, or other applied science/math 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
* Strong knowledge of various statistical analysis methods and analytics-based programming applications
* Proficient in core software and programming languages including SQL, Python, R, SAS
* Ideal candidate will have some experience with Python, SparkML, and/or other programming languages and API packages
* Strong written and verbal communication skills
*Our Hybrid Work Model:*
The company's 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.
*The 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.
For more information regarding Omnicom benefits, please visit **www.
omnicombenefits.
com**.
A reasonable estimate of the salary for this role, at the time of posting, is $64,000 - $77,000.
This range is specific to Dallas 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.
*
“As an EEO/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status.
”
_NOTE: This job description is not intended to be all-inclusive.
Employee may perform other related duties as negotiated to meet the ongoing needs of the organization.
_
Job Type: Full-time
Pay: $64,000.
00 - $77,000.
00 per year
Benefits:
* 401(k)
* Dental insurance
* Health insurance
* Parental leave
* Vision insurance
Schedule:
* Monday to Friday
Work Location: In person