Data Scientist Analyst

Key Skills

Agile methodologies, AI technology, Deep Learning, Machine learning techniques, Natural Language Processing (NLP), Product Development, Python Programming

Job Description

The Opportunity

The Associate Engineer - Data Science & Machine Learning is part of the IT Operations team within the PepsiCo CTO Organization at Hyderabad and reports to the Associate Director of SRE, AIOps & Tooling.

PepsiCo has a multivendor hybrid outsourced model for its Infrastructure IT operations. The PepsiCo IT Operations team works with various businesses, in-house IT teams, IT partners, and OEMs to maintain high-quality services around the clock. The Associate Engineer - Data Science & Machine Learning would work with in-house and partner resources and will be responsible for data preparedness, modelling and implementation of data science models that help the team move towards the goal of proactive Site Reliability Engineering in complex, large-scale Infrastructure production environments. The Associate Data Scientist should have a product mindset and should be able to think and execute at scale, and this mindset should fall in line with data-driven, automation-led IT Operations objective for an elevated experience, service stability, and sustainable reduction in Operating Expenses.

As a result of rapid growth, the global nature of the business, and the history of multiple outsourcing arrangements, PepsiCo's landscape needs to be more cohesive, with numerous duplications in data and tools and low process adherence.

Your Impact

• As Associate Data Scientist your responsibilities would consist of:
• Data mining or extracting usable data from valuable data sources
• Using machine learning tools to select features, create and optimize classifiers
• Carrying out preprocessing of structured and unstructured data
• Enhancing data collection procedures to include all relevant information for developing analytic systems
• Processing, cleansing, and validating the integrity of data to be used for analysis
• Analyzing large amounts of information to find patterns and solutions
• Developing prediction systems and machine learning algorithms
• Presenting results in a clear manner
• Propose solutions and strategies to tackle business challenges
• Collaborate with Business and IT teams

Qualifications

Who Are We Looking For?

Education

• Bachelor’s degree Computer Science, Information Systems, or other related field or equivalent experience.

Experience

• 3+ years of significant work experience in building medium complex Machine learning models
• Hands on for Machine Learning/Deep Learning/AI/NLP concepts.
• Expert in Python.
• Product development lifecycle experience
• Agile delivery model
• Go getter with good communication and customer handling skills
• Strong team player

Preferred Skills

• Sound knowledge in IT Operations including infrastructure and application systems
• Well organized, with the ability to plan ahead for short- to medium-term objectives and able to identify, organize and facilitate the work is required

If this is an opportunity that interests you, we encourage you to apply even if you do not meet 100% of the requirements.

What can you expect from us:

• Opportunities to learn and develop every day through a wide range of programs.
• Internal digital platforms that promote self-learning.
• Development programs according to Leadership skills.
• Specialized training according to the role.
• Learning experiences with internal and external providers.
• We love to celebrate success, which is why we have recognition programs for seniority, behavior, leadership, moments of life, among others.
• Financial wellness programs that will help you reach your goals in all stages of life.
• A flexibility program that will allow you to balance your personal and work life, adapting your working day to your lifestyle.
• And because your family is also important to us, they can also enjoy benefits such as our Wellness Line, thousands of Agreements and Discounts, Scholarship programs for your children, Aid Plans for different moments of life, among others.

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We respect and value diversity as a work force and innovation for the organization.