Data Science and Analytics Lead
Welcome to PepsiCo, a company dedicated to providing delicious and innovative products to consumers all over the world. As the Data Science and Analytics Lead, you will have the opportunity to use your expertise and passion for data to drive strategic insights and decision-making across our organization. We are seeking a dynamic leader who is experienced in data analysis, predictive modeling, and machine learning techniques. In this role, you will collaborate with cross-functional teams to identify business opportunities, develop data-driven solutions, and support the growth of our company. Join us and be a part of a team that is constantly pushing the boundaries of what's possible through the power of data. If you have a strong background in data science, a passion for problem-solving, and a desire to make a meaningful impact, we want to hear from you!
- Develop data-driven solutions: Lead the development of data-driven solutions to address business challenges and drive strategic decision-making.
- Utilize expertise in data analysis: Apply your expertise in data analysis to identify trends, patterns, and insights that can inform business strategies and drive growth.
- Lead cross-functional collaboration: Collaborate with cross-functional teams, including marketing, product development, and sales, to identify business opportunities and develop data-driven solutions.
- Drive innovation: Utilize cutting-edge data science techniques, including predictive modeling and machine learning, to drive innovation and stay ahead of competitors in the market.
- Provide strategic insights: Use your strong analytical skills to provide strategic insights and recommendations to senior leadership, contributing to the overall success of the company.
- Support decision-making: Use data to support decision-making processes and ensure that all decisions are based on sound, data-driven insights.
- Identify and monitor key metrics: Identify key metrics and develop dashboards to track and monitor performance, providing regular updates and insights to stakeholders.
- Mentor and develop team members: Mentor and develop team members, sharing your knowledge and expertise to support their growth and development within the organization.
- Stay updated on industry trends: Keep up-to-date with industry trends and advancements in data science and analytics, and apply this knowledge to continuously improve processes and results.
- Drive a culture of data-driven decision-making: Promote a culture of data-driven decision-making across the organization, advocating for the use of data to inform all aspects of the business.
Expertise In Statistical Analysis: The Candidate Should Possess A Strong Understanding Of Statistical Concepts And Methods, Such As Regression Analysis, Hypothesis Testing, And Data Mining. This Will Enable Them To Effectively Analyze Large Datasets And Derive Meaningful Insights For Business Decision-Making.
Proficiency In Programming Languages: The Ideal Candidate Should Be Proficient In Coding Languages Such As Python, R, And Sql, Which Are Commonly Used For Data Manipulation, Analysis, And Visualization. This Will Allow Them To Work With Various Data Sources And Perform Complex Data Analysis Tasks.
Experience In Data Visualization: A Data Science And Analytics Lead Should Have Experience In Creating Compelling Visualizations To Communicate Complex Data Insights To Non-Technical Stakeholders. Proficiency In Tools Like Tableau Or Power Bi Is Preferred.
Business Acumen: In Addition To Technical Skills, The Candidate Should Have A Strong Understanding Of Business Operations And Strategy. They Should Be Able To Identify Key Business Problems And Provide Data-Driven Solutions That Align With The Company's Goals And Objectives.
Leadership And Communication Skills: As A Lead Role, The Candidate Should Have Strong Leadership Skills, Including The Ability To Manage A Team And Collaborate With Cross-Functional Teams. Excellent Communication Skills Are Also Essential, As The Candidate Will Be Required To Present Findings And Recommendations To Senior Management And Other Stakeholders.
Project Management
statistical analysis
Machine Learning
Data Visualization
Data Mining
Predictive modeling
Team Leadership
Strategic Thinking
Problem-Solving
Data storytelling
Big Data management
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Problem Solving
Time management
creativity
Attention to detail
Teamwork
Adaptability
According to JobzMall, the average salary range for a Data Science and Analytics Lead in Hyderabad, Telangana, India is between ₹1,500,000 - ₹2,000,000 per year. This can vary depending on the company, level of experience, and specific job role within the data science and analytics field. Additionally, factors such as education, skills, and industry can also impact the salary range for this role.
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PepsiCo, Inc. engages in the manufacturing, marketing, distribution, and sale of beverages, foods, and snacks. It is a food and beverage company with a complementary portfolio of brands, including Frito-Lay, Gatorade, Pepsi-Cola, Quaker and Tropicana. It operates through the following segments: Frito-Lay North America; Quaker Foods North America; North America Beverages; Latin America; Europe Sub-Saharan Africa; and Asia, Middle East, and North Africa.
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