Associate Data Scientist

Join Us at Church & DwightA 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.Job SummaryChurch & Dwight is seeking an Associate Data Scientist to join our team. The role will be responsible for being at the forefront of transforming data into actionable insights that drive strategic decisions across Church & Dwight.About the RoleThe Associate Data Scientist will collaborate with diverse business units to understand their unique challenges and opportunities, leveraging data science and advanced analytics to deliver impactful solutions.Work EnvironmentHybrid: This is a hybrid role based in Ewing, NJ, and requires in-person attendance on Tuesdays, Wednesdays, and Thursdays, with remote work options on Mondays and Fridays.Role Accountabilities and ResponsibilitiesInsight GenerationUtilize predictive modeling, data mining, and advanced analytics techniques to uncover meaningful patterns and trends within our vast data sets.Collaborative ConsultingPartner with various business units to understand their needs, gather user requirements, and translate them into data products and solutions.Actionable OutcomesDeliver clear, actionable insights and recommendations that inform business strategies and drive operational improvements.Data StorytellingCommunicate complex analytical findings in a compelling and easily understandable manner to non-technical stakeholders, ensuring insights lead to informed decision-making.Continuous ImprovementStay current with the latest advancements in data science, machine learning, and cloud technologies to continuously enhance our analytic capabilities.Skills and CompetenciesAnalytical ExpertiseStrong foundation in data science methodologies, including predictive modeling, data mining, and machine learning.Business AcumenAbility to translate technical results into business context and provide actionable recommendations.Collaboration SkillsExcellent interpersonal skills with a knack for building relationships and influencing stakeholders across various functions.Problem-Solving MindsetProactive approach to identifying opportunities and challenges, with the creativity to develop innovative solutions.Education and ExperienceRequired Qualifications:Bachelor's degree (BS) with 2 or more years of experience is acceptableExperience with programming and data query languages (e.g., Python, R, SQL) and data visualization tools(e.g., Tableau, Power BI).Preferred Qualifications:Master's degree in a quantitative discipline is preferredAgentic AI development experience is preferredCompensation and BenefitsThe U.S. base salary range for this full-time position is $59,400–$84,500. This position is also eligible for a bonus.As a Church & Dwight US employee, you (and eligible dependents, as applicable) will have access to medical, dental, vision, basic life insurance, paid vacation and sick time, and Paid Parental Leave. U.S. employees are entitled to paid holidays, floating holidays, and vacation days starting in their first year of employment depending on hire date. You are also able to participate in our 401k retirement plan (with company match and profit-sharing) and Discounted Employee Stock Purchase Plan.??The actual base pay offered to the successful candidate will be based on multiple factors, including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal pay parity.? Compensation decisions are dependent upon the facts and circumstances of each position and candidate.