R&d Ana Tech Analyst
hace 7 días
**Responsibilities**
See Second Language
**Qualifications**
See Second Language Are you looking for a challenging opportunity in an organization with a dynamic, innovative, and diverse environment?
If so, your future is at PepsiCo. As a world class company, we seek excellence in everything we do from the launch of a new product to its execution at the point of sale. Therefore, we need talented and innovative people who are passionate about what they do.
PepsiCo Mexico currently has a broad portfolio of food and beverage products, such as Sabritas, Gamesa, Quaker, Pepsi, Obela and Sonrics, leading brands in the snacks, cereals, soft drinks, isotonic and cookies markets respectively.
Now we are looking for this position:
**Main Purpose**
As a data scientist, you will proactively obtain data/information from various sources and analyze them to provide a better understanding of R&D Innovation performance. You will build AI/ML tools that automate certain processes within Global R&D. Your duties typically include creating various AI/ML-based tools or processes within Global R&D, such as recommendation engines or predictive models. Ability to perform statistical analyses is also within scope of the role.
**Accountabilities**
**/ Responsibilities**
- Execute operating plan projects through statistical methods and advanced data modeling techniques that provide business impact and value
- Partner with R&D Categories to identify new advanced analytic tools as needed
- Select features, build and optimize classifiers using machine learning techniques
- Data mining using state-of-the-art methods
- Extend company’s data with third party sources of information when needed
- Enhance data collection procedures to include information that is relevant to building analytic systems
- Process, cleanse, and verify the integrity of data used for analysis
- Communicate and presenting results in a clear manner
**Qualifications / Requirements**
- Minimum bachelor’s degree in Statistics, Mathematics, Computer Science or other quantitative Science/Engineering field, mater degree is preferred.
- A minimum of 4 years’ experience in an industrial environment
- Experience using statistical computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.
- Experience working with and creating data architectures.
- Knowledge of a variety of machine learning techniques (clustering, decision trees, artificial neural networks, etc.) and their real-world advantages/drawbacks.
If you have the profile that we are looking, send us your CV by this via, if it's possible that you can participate in this process we will contact you ASAP, if not we will keep your info in our base data for 6 months.
**Thank you so much for your interest in PepsiCo
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