Data Scientist

at  Kohler

SKILLS/REQUIREMENTS

• Requires a master’s degree in data and analytics or related field or minimum of 5-7 years hands on experience in the area.
• Understanding of the marketing funnel, return on ad spend (ROAS), onsite and off-site media targeting, and online and offline sales is a must.
• Must possess a keen analytical mind, planning capabilities, detail orientation, and a creative mindset.
• Must possess substantial skills in written and oral communication with all levels of management and with marketing agencies.
• Expert knowledge in visualization tools preferably Power bi, statistical platforms like R, Python, strong SQL skills and Microsoft applications like Excel, Power Point and Word
• Experience with Marketing platforms like Google, Meta, Pinterest, Incrementality analyses, media mix modeling is a must.
• Experience with customer journey mapping and segmentation is preferred but not required.

Travel

• Monthly travel to Kohler Co HQ in Kohler, WI, to conferences, and customer visits as needed, approximately 10-30%.

ABOUT US

It is Kohler’s policy to recruit, hire, and promote qualified applicants without regard to race, creed, religion, age, sex, sexual orientation, gender identity or expression, marital status, national origin, disability or status as a protected veteran. If, as an individual with a disability, you need reasonable accommodation during the recruitment process, please contact kohlerjobs@kohler.com. Kohler Co. is an equal opportunity/affirmative action employer

• Actively contribute to marketing discussions to support hypothesis testing including test design, implementation, and analysis.
• Compile information, develop correlations on historical data, run regression analysis and have ability to measure marketing impact on key KPIs across various business channels.
• Develop and maintain interactive reporting dashboards using existing reporting tools and Excel to communicate performance updates on key metrics and channels (i.e. paid, organic, and owned)
• Ability to understand MMM/MTA/Incrementality testing/causal impact measurements and draw relevant conclusions.
• Prepare summaries of relevant data for distribution to appropriate managers.
• Ability to manipulate data in a fast-paced environment to gather quick insights, visualize the data and generate interactive reports and dashboards.
• Conduct Matched Marketing testing and A/B testing to understand the effectiveness and efficiency of marketing pilots.
• Have a strong statistical background and keen analytical mind to provide insights from large and varied omni channel data sets to understand the significant impact on sales and web traffic due to different media tactics