- Master's Degree
- Doctoral Degree
Background & Purpose of the Job
As a Data Scientist, you will be an integral part of the Information and Analytics team supporting the organization to enhance and drive overall top-line sales growth and profitability. This role will also interface with multiple key stakeholders and functional teams.
Who You Are & What You’ll Do
In this role, you will be responsible for providing insights to the cross-functional business teams leveraging a variety of internal and external data sets, and advance analytic techniques to create value. This role will also interface with multiple stakeholders and teams on a consistent basis to deliver analytic outputs.
You’re a born leader: The ability to gain stakeholder consensus, build coalitions, and present a vision to the broader organization will be crucial for success.
You’re a dot connector: The ability to formulate hypothesis and draw inferences from different cross functional data sets and generate a story of insights is key.
You’re a story teller: You have ability to transform data into insights which provide very clear direction to stakeholders on what actions are needed to drive transformation in the business.
You’re a culture & change champion: Success is dependent upon fostering a highly collaborative and team-oriented environment
Extensive experience solving analytical problems using quantitative approaches, a strong passion for empirical research and for answering hard questions with data. Analyze data, run descriptive statistics, generate prior distributions, explore relationships: correlation, covariance, causality, regression modeling, and build Bayesian Influence diagrams. Must be hands-on and must have worked on implementing data mining algorithms, work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas. Strong experience in Data Visualization, Presentation and Story Telling. Ability to work independently as well as in a team environment. Partner with business, Data Scientists, and Engineers to create POCs/Pilots, demonstrate thought leadership and generate marketing insights.
What You’ll Need to Succeed
Master’s degree in a related field (e.g., Applied Science, Data Science, Computer Science, Mathematics, Statistics, or another analytical field)
2+ years data science experience
Expertise in Machine Learning (ML), Data Science, AI, and Data Mining is required.
Expertise in Data Wrangling, Engineering, Exploratory data analysis using statistics and programming
Expertise in ML algorithms such as PCA, LASSO, RIDGE, SVM, Bayesian, Random Forest, Boosting, Clustering, ARMA, Time Series modeling, Generalized Linear Models, Regression Models, Neural Networks, RNN, CNN, and LSTM is required
Expertise in building models using Python, Spark, Scala, SQL, R
Active listening skills and deep analytical ability are required
A passion for excellence and exceeding customer expectations is required
PhD in a related field (e.g. Applied Science, Data Science, Computer Science, Mathematics, Statistics, or another analytical field)
Consumer goods experience
Preferred experience in Classification, Forecasting, Anomaly detection, Outliers analysis, Optimization, Trends analysis, Bayesian inference, Time-Series methods (ARMA/ARIMA), Markovian processes
Preferred experience in Java, C++, SAS, SPSS, Azure, Big Data, AWS
Preferred experience in Text Mining and Natural Language Programming (NLP)
What We Can Offer You
Culture for Growth | Top Notch Employee Health & Well Being Benefits | Every Voice Matters | Global Reach | Life at Unilever | Careers with Purpose | World Class Career Development Programs | Check Out Our Space | Focus On Sustainability
Unilever is an organization committed to diversity and inclusion to drive our business results and create a better future every day for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. For more information, please see Equal Employment Opportunity Posters
Equal Opportunity/Affirmative Action Employer Minorities/Females/Protected Veterans/Persons with Disabilities
Employment is subject to verification of pre-screening tests, which may include drug screening, background check, credit check and DMV check.
If you are an individual with a disability in need of assistance at any time during our recruitment process, please contact us at 1-855-239-5459 or NAAccommodations@unilever.com . Please note: These lines are reserved for individuals with disabilities in need of assistance and are not a means of inquiry about positions or application statuses.