Data Science Senior Manager

Mondelēz International; United States; Remote; USD 137,000 - 189,000; Full time

Job summary

An established industry player is seeking a data science expert to lead analytics initiatives and drive business insights. This remote position offers the opportunity to innovate and create value by applying advanced statistical methods and machine learning techniques. You will be responsible for managing data science capabilities, building a roadmap, and collaborating with stakeholders to ensure data-driven decision-making. Join a dynamic team that values your expertise and supports your career growth while contributing to a mission of leading the future of snacking.

Benefits

Health Insurance

Wellness Programs

Life and Disability Insurance

Retirement Savings Plans

Paid Leave Programs

Education Programs

Paid Holidays

Vacation Time

Qualifications

• 8+ years of experience in data science and quantitative disciplines.
• Strong background in statistics, programming, and analytical techniques.

Responsibilities

• Manage analytics introduction to meet business requirements.
• Develop predictive insights to drive decision making.

Skills

Statistical Analysis

Machine Learning

Programming (Python, R)

Data Visualization

Data Management

Collaboration with Stakeholders

Education

Bachelor’s Degree

Master’s Degree in Mathematics, Statistics, or Business Analytics

Tools

R

SAS

Python

Hadoop

Apache Spark

Job description

Job Description

Are You Ready to Make It Happen at Mondelēz International?

Join our Mission to Lead the Future of Snacking. Make It Possible.

In this role you will make an impact on our business by creating value and supporting decision making as you manage the functional data science capability through the application of mathematical, statistical, predictive modelling or machine-learning techniques to analyze data and generate insights. You will have the responsibility to build the data science roadmap for the business.

This role will be 100% remote based.

How you will contribute

1. Manage the introduction and use of analytics to meet business requirements, ensuring consistency across all user groups. Also, you will establish and manage functional analytics methods, techniques, and capabilities to enable the function to analyze data, generate insights, create value, and drive decision making while you measure the progress of initiatives and market successes to the organization.
2. Assess the business problems to be solved and what internal or external data sources to use or acquire.
3. Identify and establish the veracity of the external sources of information that are relevant to the operational needs of the enterprise.
4. Define business-oriented goals for initiative(s) and explain the initiative(s) to business managers.
5. Apply your expertise in analysis of data with high volumes, velocities, and variety (numbers, symbols, text, sound, and image). In addition, you will develop forward-looking, predictive, real-time, model-based insights to create value and drive effective decision making.
6. Understand the identification, validation and exploitation of internal and external data sets generated from a diverse range of functional processes and in general you will be an expert in functional data and data sets.
7. Recruit talent and build teams with the right mix of skills to staff projects.

What you will bring

A desire to drive your future and accelerate your career. You will bring experience and knowledge in:

1. Working experience in a quantitative discipline and data science.
2. Strong quantitative background in statistics and linear algebra as well as programming knowledge.
3. Knowledgeable in classification techniques, collaborative filtering, association rules, and heuristics approaches.
4. Understanding of advanced analytics platforms/tools such as R/SAS, Python, Hadoop, Apache Spark, and familiarity querying databases.
5. Familiarity generating dashboards and manipulating data visualization software KPIs/dimensions.
6. Interfacing with high-level stakeholders (SVPs and more).

Require Experience:

• 8+ years of experience.
• Certifications any of SAS Base, SAS VF, SAS Visual Statistics, etc.
• Strong Applied Knowledge of analytical techniques in statistical modelling, machine learning with exposure to forecasting domain especially driver-based forecasting.
• Experience on working with FMCG, Food & Beverages, Retail, or similar industry data with understanding the business process with be advantage.
• Should be able to articulate data science outcome into business understandable language.
• Fluent English, other European languages would be an advantage.

Required Education:

• Bachelor’s degree required.
• Master’s degree preferred in areas such as Mathematics, Statistics, and Business Analytics.

Travel:

• Travel up to 30%

The base salary range for this position is $137,300.00-$188,825.00; the exact salary depends on several factors such as experience, skills, education, and budget. In addition to base salary, this position is eligible for participation in a highly competitive bonus program with possibility for overachievement based on performance and company results.

In addition, Mondelez International offers the following benefits: health insurance, wellness and family support programs, life and disability insurance, retirement savings plans, paid leave programs, education related programs, paid holidays, and vacation time. Some of these benefits have eligibility requirements. Many of these benefits are subsidized or fully paid for by the company.

No Relocation support available

Business Unit Summary

The United States is the largest market in the Mondelēz International family with a significant employee and manufacturing footprint. Here, we produce our well-loved household favorites to provide our consumers with the right snack, at the right moment, made the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brands—including Oreo and Chips Ahoy! cookies, Ritz, Wheat Thins and Triscuit crackers, and Swedish Fish and Sour Patch Kids confectionery products —are close at hand for our consumers across the country.

Mondelēz Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact 847-943-5460 for assistance.

For more information about your Federal rights, please see eeopost.pdf; EEO is the Law Poster Supplement; Pay Transparency Nondiscrimination Provision; Know Your Rights: Workplace Discrimination is Illegal

Job Type: Regular Data Science Analytics & Data Science