People Analytics Data Scientist

Since 1869 we've connected people through food they love. We’re proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell’s brand, as well as Michael Angelo’s, noosa, Pace, Pacific Foods, Prego, Rao’s Homemade, Swanson, and V8. In our Snacks division, we have brands like Cape Cod, Goldfish, Kettle Brand, Lance, Late July, Pepperidge Farm, Snack Factory, and Snyder’s of Hanover. 

Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.

Why Campbell’s…

• Benefits begin on day one and include medical, dental, short and long-term disability, AD&D, and life insurance (for individual, families, and domestic partners).
• Employees are eligible for our matching 401(k) plan and can enroll on the first day of employment with immediate vesting.
• Campbell’s offers unlimited sick time along with paid time off and holiday pay.
• If in WHQ – free access to the fitness center. Access to on-site day care (operated by Bright Horizons) and company store.
• Giving back to the communities where our employees work and live is very important to Campbell’s. Our “Campbell’s Cares” program matches employee donations and/or volunteer activity up to $1,500 annually.
• Campbell’s has a variety of Employee Resource Groups (ERGs) to support employees.

How you will make history here…

The People Analytics Data Scientist is responsible for developing statistical algorithms to generate actionable recommendations that will drive disproportionate value to the Campbell’s business. The incumbent will need to have strong quantitative background, programming skills, knowledge or interest in the HR function, leadership presence and engagement. The incumbent must possess ability to articulate complex algorithms in practical terms to business partners to facilitate adoption and execution.

What you will do…

Responsibilities

• 35% Advanced Analytics – Develop and operationalize proprietary algorithms to promote joint value creation within HR, making Campbell a best-in-class leadership powerhouse. Identifying opportunities to enhance HR processes and decision-making through data-driven insights. This includes working in partnership with IT and legal teams to address data security and compliance concerns within the HR domain.
• 25% Data Engineering – Retrieve, cleanse, manipulate, and translate complex data into business solutions across the company. Establish and enforce data quality standards, data validation processes, and naming conventions that align with HR master data requirements.
• 25% Process Improvement Manager – Create processes and automation tools in streamlining operational excellence across the HR function. Monitor data quality metrics and lead efforts to improve data accuracy and consistency within the HR domain.
• 15% Project Management – Manage project life cycle and creating plan, timeline, and holding stakeholders accountable across cross-functional responsibilities. Provide thought leadership for the advanced analytics within the function, by providing support in training and recruitment of the new or existing talent.

Who you will work with…

• You will be apart of the Data Analytics HR Services team in a client facing role

What you bring to the table…

• Bachelor’s degree in human resources, business, computer science, statistics etc.
• Years of relevant experience: 3+ years in Human Relations and/or Data Science
• Programming: 2+ years of experience in languages such as R, Python, Spark, Scala, Java.
• Solid knowledge of both theory and practice of data science. Demonstrated expertise in some or all of the following: probability, statistics, operations research, simulation, time series analysis, classification and clustering methods, variable selection, decision trees, Bayesian statistics, deep learning.
• Familiarity with HR-specific data privacy and compliance regulations.
• Excellent leadership, problem-solving, and communication skills, emphasizing data expertise.
• Exceptional attention to detail and a commitment to data accuracy.
• Familiarity with relational and object-oriented data models a plus

It would be great to have…

• Master’s degree in human resources, business, computer science, statistics, or related experience preferred
• Experience with visualization software such as Tableau or Power BI is a plus.
• Knowledge of Workday preferred, as well as other HR systems and processes

Compensation and Benefits:

The target base salary range for this full-time, salaried position is between 

$106,900-$153,600

Individual base pay depends on work location and additional factors such as experience, job-related skills, and relevant education or training. Total pay may include other forms of compensation. In addition, we offer competitive health, dental, 401k and wellness benefits beginning on the first day of employment. Please ask your Talent Acquisition Partner for more information about our total rewards package.

The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.