Location: Pune

Experience: 4–8 Years

Salary: As per experience and interview performance(The mentioned salary range is for reference and screening purposes only.

Compensation will be determined based on the candidate’s relevant experience, skills, role fit, and applicable market standards.)

Notice Period: Immediate to 45 Days

Work Mode: Pune / Local candidates preferred

Role Overview

We are looking for a Junior Data Scientist / Data Engineer with strong expertise in SQL, Python, Data Science, Cloud, and Spark. The role involves working with complex datasets, developing data pipelines and machine learning models, performing statistical analysis, and delivering actionable insights to business stakeholders.

The ideal candidate should have excellent communication skills and be comfortable working in a client-facing environment.

Must-Have Skills

- Strong hands-on experience with SQL and Python
- Strong understanding of Data Science and Machine Learning
- Hands-on experience with Apache Spark / distributed data processing
- Experience with at least one major cloud platform:
- Microsoft Azure
- AWS

- Solid knowledge of:

- Data preprocessing
- Feature engineering
- Model validation
- Statistical analysis
- Exploratory Data Analysis (EDA)

- Experience working with large and complex datasets
- Knowledge of data pipelines, ETL processes, and data quality
- Excellent communication and stakeholder management skills
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field

Nice-to-Have Skills
- Experience with Azure Data Factory, AWS Glue,



or GCP BigQuery
- Experience with Airflow, ADF, or other data orchestration tools
- Knowledge of Tableau, Power BI, Matplotlib, or Seaborn
- Experience with Snowflake, Redshift, BigQuery, or other data warehousing platforms
- Knowledge of Hadoop
- Experience with AWS SageMaker, Azure ML, or GCP AI/ML platforms
- Understanding of A/B testing, experimental design, and hypothesis testing
- Experience with Docker or Kubernetes
- Knowledge of CI/CD and DevOps practices for data pipelines
- Experience with monitoring, logging, and alerting for data workflows
- Experience deploying and monitoring machine learning models in production
- Familiarity with AI foundation models and their application in data science

Key Responsibilities
- Design, build, and optimize scalable data pipelines and ETL processes
- Develop and maintain data models, data marts, and analytical datasets
- Analyze large datasets to identify trends, patterns, and business insights
- Perform EDA, statistical analysis, and hypothesis testing
- Develop, train, and validate predictive and classification models
- Perform data preprocessing and feature engineering
- Implement data quality checks and validation processes




- Collaborate with data engineers to prepare and optimize datasets
- Translate analytical findings into actionable business recommendations
- Create reports and dashboards using data visualization techniques
- Monitor and maintain models in production
- Automate data workflows and ensure timely availability of data
- Work with cloud platforms and distributed data systems
- Communicate technical findings clearly to technical and non-technical stakeholders

Data Quality & Testing
- Develop data validation and data quality test cases
- Perform unit and integration testing for data pipelines
- Monitor data accuracy, completeness, and consistency
- Identify data anomalies and coordinate with engineering teams for resolution
- Document test results and maintain testing records

Candidate Requirements
- Experience: 4–8 years in Data Science, Data Engineering, or related areas
- Relevant Experience: Minimum 3–5 years in relevant data engineering/data science work
- Job Stability: Minimum 2 years with an organization is preferred
- Notice Period: Immediate to 45 days
- Location: Pune candidates preferred
- Communication: Excellent communication skills are mandatory
- Education: Bachelor’s/Master’s degree in CS, Data Science, Engineering, or related field

Interview Process 2 Technical Rounds → Client Round → HR Round

Skills: etl processes,one major cloud platform,distributed data processing,sql,apache spark,eda,machine learning,data science,python

📌 Data Scientist / Data Engineer (Pune)
🏢 Umanist NA
📍 Pune