Data Scientist

PepsiCo; Hyderabad; On-site; INR 800,000 - 1,500,000; Full time

Job summary

Join an innovative team as a Data Scientist, where you'll leverage your expertise in machine learning and statistical analysis to drive impactful projects. This role offers the opportunity to work on advanced analytics initiatives, collaborating closely with cross-functional teams to deliver high-quality data-driven solutions. You'll be responsible for building and deploying ML models, ensuring data integrity, and influencing product strategies through insightful recommendations. With a focus on continuous improvement and agile methodologies, you'll thrive in a dynamic environment that values creativity and analytical thinking. If you're passionate about data and eager to make a difference, this is the perfect opportunity for you.

Qualifications

• 5+ years of experience as a Data Scientist with a focus on ML models.
• Strong programming skills in Python and Pyspark, with SQL fluency.
• Expertise in statistical techniques for supervised and unsupervised learning.

Responsibilities

• Deliver Advanced Analytics projects on time and within budget.
• Collaborate with data engineers and ML engineers for model development.
• Communicate insights and recommendations to business stakeholders.

Skills

Machine Learning

Python

Pyspark

SQL

Statistical Analysis

Data Visualization

Agile Methodology

Cloud (Azure)

Communication Skills

Business Storytelling

Education

BE/B.Tech in Computer Science or related fields

Tools

Azure Machine Learning

Databricks

Jenkins

Docker

Spark

Hive

Pig

Job description

Data Scientist: Hyderabad and Gurugram

You will be part of a collaborative interdisciplinary team around data, where you will be responsible for our continuous delivery of statistical/ML models. You will work closely with process owners, product owners, and final business users. This will provide you the correct visibility and understanding of the criticality of your developments.

Responsibilities

• Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope.
• Active contributor to code & development in projects and services.
• Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption.
• Partner with ML engineers working on industrialization.
• Communicate with business stakeholders in the process of service design, training, and knowledge transfer.
• Support large-scale experimentation and build data-driven models.
• Refine requirements into modelling problems.
• Influence product teams through data-based recommendations.
• Research in state-of-the-art methodologies.
• Create documentation for learnings and knowledge transfer.
• Create reusable packages or libraries.
• Ensure on-time and on-budget delivery which satisfies project requirements while adhering to enterprise architecture standards.
• Leverage big data technologies to help process data and build scaled data pipelines (batch to real-time).
• Implement end-to-end ML lifecycle with Azure Machine Learning and Azure Pipelines.

Qualifications

• BE/B.Tech in Computer Science, Maths, or technical fields.
• Overall 5+ years of experience working as a Data Scientist.
• 4+ years’ experience building solutions in the commercial or supply chain space.
• 4+ years working in a team to deliver production-level analytic solutions. Fluent in git (version control). Understanding of Jenkins and Docker are a plus.
• Fluent in SQL syntax.
• 4+ years’ experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems.
• 4+ years’ experience in developing business problem-related statistical/ML modeling with industry tools with primary focus on Python or Pyspark development.

Skills, Abilities, Knowledge:

• Data Science – Hands-on experience and strong knowledge of building machine learning models – supervised and unsupervised models. Knowledge of Time series/Demand Forecast models is a plus.
• Programming Skills – Hands-on experience in statistical programming languages like Python, Pyspark and database query languages like SQL.
• Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators.
• Cloud (Azure) – Experience in Databricks and ADF is desirable.
• Familiarity with Spark, Hive, Pig is an added advantage.
• Business storytelling and communicating data insights in a business consumable format. Fluent in one Visualization tool.
• Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities.
• Experience with Agile methodology for teamwork and analytics ‘product’ creation.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Food and Beverage Services, IT Services and IT Consulting, and Financial Services