Data Scientist (Remote)

Key Skills

Microsoft-Excel, SAP, Python Programming, SQL, PowerBI, Tableau, Google Cloud Platform (GCP), R Programming, Data Modelling, SAS, Statistical modeling

Job Description

Hill's Pet Nutrition is looking for a Data Scientist to become part of the team!

Do you want to make a difference in the lives of people and their pets? What about having the opportunity to connect with others across the world, full of stimulating discussions, and making impactful contributions? If this is how you see your career, Hill’s is the place to be!

Hill’s Pet Nutrition is a $2.3 Billion, global division of Colgate-Palmolive Company and the maker of Prescription Diet, Science Diet, and Healthy Advantage brand pet food. Our mission is to help enrich and lengthen the special relationships between people and their pets by providing the best groundbreaking pet nutrition technology, products, and expertise to pet owners, veterinary professionals and other key pet professionals worldwide. Our company is a globally recognized Best Place to Work.

The Data Scientist will lead the development and deployment of analytics projects for the global marketing and sales organization. The role will require strong business acumen and deep hands-on experience with computer programming and statistics to help answer business questions. A mix of technical and communication skills will be needed to optimally handle analytics projects that impact business decisions.

NOTE: This job is remote and can sit anywhere within the US.

What you will do

• Deep, hands-on development of custom data science models to address business challenges using SQL, Python or R
• Partner with the business to identify problems that analytics can help solve
• Coordinate with different functional teams to implement models and supervise outcomes
• Assess project feasibility and business impact to prioritize projects
• Develop relationships across business teams and IT to help build analytics capabilities across the organization
• Help inspire change within the commercial organization
• Performs other duties as assigned
• Align with all policies and standards

Required Qualifications

• Bachelor's Degree in finance, statistics, computer science, business or related field required; Master's degree in quantitative field preferred
• At least 5 years in data analytics and computer programming
• Proficiency with SQL
• Proficiency with Python or R for data manipulation; experience with data modeling techniques
• Experience with Data Visualization tools like Google Data Studio and Tableau
• Experience with sales and/or marketing analytics
• Experience with cloud environments (Snowflake, Google Cloud Platform) and SAP
• Understanding of data architecture and data engineering
• A commercially astute individual, with the ability to build strong cross-functional relationships and lead a team whilst developing and implementing creative tools and processes that add interpersonal value & improve decision making capabilities.
• A forward-thinking, high-reaching person, with strategic capabilities, able to lead change, influence and collaborate both internally and externally, and with a clear dedication to delivering business results in a timely manner.