Pune Data Scientist (ML)

PhonePe Group; Pune District; Presencial; INR 1.200.000 - 1.800.000; Jornada completa

Descripción de la vacante

PhonePe Group in Pune, India is seeking a data scientist to design and deploy scalable ML models and reusable frameworks that boost productivity and enable strategic decisions. You will work with cross-functional teams to extract insights from large datasets, build predictive models, and communicate results with clear visualizations.

The role emphasizes rigorous experimentation, production readiness, and ongoing learning.

Formación

• 3–5 years of professional experience in data science or analytics.
• Proficiency in Python or R for data analysis and modeling.
• Strong knowledge of statistics and hypothesis testing.
• Experience with ML algorithms and model evaluation.
• SQL proficiency for data querying and manipulation.
• Experience with data visualization tools like Tableau/Power BI/Matplotlib.
• Ability to work with large datasets and preprocessing challenges.
• Excellent communication and collaboration skills.

Responsabilidades

• Design, develop, and deploy ML models and reusable frameworks.
• Conduct exploratory data analysis to identify patterns and trends.
• Clean, preprocess, and transform data for analysis and modeling.
• Build and validate statistical models using appropriate algorithms.
• Create clear data visualizations to communicate findings.
• Collaborate with data engineers, product managers, and analysts.
• Document methodologies, code, and results for reproducibility.
• Stay current with emerging DS techniques and best practices.
• Perform model monitoring and maintenance in production.
• Participate in code reviews and improve DS practices.

Conocimientos

Python

R

SQL

Data Visualization

Statistics

ML Algorithms

Communication

Problem-Solving

Herramientas

Tableau

Power BI

Matplotlib

Spark

Hadoop

TensorFlow

PyTorch

Descripción del empleo

PhonePe is seeking a highly analytical and driven Data Scientist to join our team. This role requires a minimum of one year of professional experience and a robust foundation in scalable machine learning implementations.

The successful candidate will play a pivotal role in designing and deploying sophisticated models and reusable ML frameworks that improve productivity and help drive strategic business initiatives.

Job Description

We are seeking a detail-oriented and analytically-minded Data Scientist to join our growing data science team in Pune, India. In this role, you will leverage advanced statistical techniques and machine learning methodologies to extract actionable insights from complex datasets, driving data-informed decision-making across the organization. You will work collaboratively with cross-functional teams to develop, implement, and optimize predictive models that solve real-world business challenges.

• Design, develop, and deploy machine learning models to address business problems and improve organizational performance
• Conduct exploratory data analysis to identify patterns, trends, and anomalies in large and complex datasets
• Clean, preprocess, and transform raw data into structured formats suitable for analysis and modeling
• Build and validate statistical models using appropriate algorithms and evaluation metrics
• Create clear and compelling data visualizations to communicate findings and recommendations to stakeholders
• Collaborate with data engineers, product managers, and business analysts to understand requirements and deliver solutions
• Document methodologies, code, and results to ensure reproducibility and knowledge sharing
• Stay current with emerging data science techniques, tools, and best practices in the field
• Perform model monitoring and maintenance to ensure continued accuracy and performance in production environments
• Participate in code reviews and contribute to improving data science practices within the team

Qualifications

**Required Qualifications:**

• 3-5 years of professional experience in data science, machine learning, or related analytics roles
• Strong proficiency in Python or R for data analysis and model development
• Solid understanding of statistical methods, probability theory, and hypothesis testing
• Hands-on experience with machine learning algorithms (supervised and unsupervised learning)
• Proficiency in SQL for querying and manipulating databases
• Experience with data visualization tools such as Tableau, Power BI, or Matplotlib
• Demonstrated ability to work with large datasets and handle data preprocessing challenges
• Strong problem-solving skills and attention to detail
• Excellent communication skills with the ability to explain complex concepts to non-technical audiences

**Preferred Qualifications:**

• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Familiarity with big data technologies including Apache Spark or Hadoop
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
• Knowledge of A/B testing, experimental design, and causal inference
• Experience with version control systems and collaborative development practices
• Domain expertise in finance, healthcare, e-commerce, or other relevant industries
• Familiarity with model deployment and MLOps practices