Associate Data Scientist

A collective energy and ambition. A place where you can make a real difference.

We're a company that genuinely cares about our people, our products, our consumers and the environment.

Our unique, informal culture champions courage, determination and collaboration. Knowing we have an open and supportive team means each of us has the freedom to take responsibility and ownership. We have a shared passion to work hard, innovate and push boundaries.

United by the belief that when we strive for growth, anything is possible. While we might not be the largest company in our industry, we believe we can have the biggest impact because: Together We Have the Power to Win.

Role Summary:

As an Associate Data Scientist within the Data & Analytics Office, you'll be at the forefront of transforming data into actionable insights that drive strategic decisions across Church & Dwight. As an internal consultant, you will collaborate with diverse business units to understand their unique challenges and opportunities, leveraging data science and advanced analytics to deliver impactful solutions.

Key Responsibilities:

• Insight Generation: Utilize predictive modeling, data mining, and advanced analytics techniques to uncover meaningful patterns and trends within our vast data sets.
• Collaborative Consulting: Partner with various business units to understand their needs, gather user requirements, and translate them into data products and solutions.
• Actionable Outcomes: Deliver clear, actionable insights and recommendations that inform business strategies and drive operational improvements.
• Data Storytelling: Communicate complex analytical findings in a compelling and easily understandable manner to non-technical stakeholders, ensuring insights lead to informed decision-making.
• Continuous Improvement: Stay current with the latest advancements in data science, machine learning, and cloud technologies to continuously enhance our analytic capabilities.

Education and Experience:

• Education: Master's degree in a quantitative discipline is preferred but a Bachelor's degree (BS) with 2 or more years of experience is acceptable
• Analytical Expertise: Strong foundation in data science methodologies, including predictive modeling, data mining, and machine learning.
• Technical Proficiency: Experience with programming languages (e.g., Python, R) and data visualization tools (e.g., Tableau, Power BI).
• Business Acumen: Ability to translate technical results into business context and provide actionable recommendations.
• Collaboration Skills: Excellent interpersonal skills with a knack for building relationships and influencing stakeholders across various functions.
• Problem-Solving Mindset: Proactive approach to identifying opportunities and challenges, with the creativity to develop innovative solutions

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Church & Dwight is proud to be an Equal Opportunity Employer/Veterans/Individuals with Disabilities.

For more information on our company, our brands and our culture visit us at http://www.churchdwight.com/