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Data Scientist

Techila Global Services -
Pune, Maharashtra

Apply Now

Job details

Full-time

Qualifications

TensorFlow
CI/CD
Statistics
Power BI
Data modelling
Image processing
Azure
Computer Science
Kubernetes
Relational databases
Big data
Salesforce
Spark
NumPy
Git
Tableau
Master's degree
Databases
SQL
Pandas
AWS
Docker
Bachelor's degree
Machine learning
Continuous integration
REST
Natural language processing
GitHub
APIs
Data science
Redshift
Flask
AI
Python
Data Science
Analytics

Full job description

Onsite Pune 4–6 yrs Apply by Aug 15, 2026

Data Scientist

Join Techila's team of Salesforce experts. We build senior-led transformations that deliver measurable outcomes for clients worldwide.

Experience

4–6 yrs

Employment Type

Full-time

Openings

1 position

Apply By

Aug 15, 2026

Required Skills

Data Science

Job Description

Data Scientist Pune · Full-time · On-site

About the Role We are looking for a skilled Data Scientist with strong expertise in Python to design, develop, and deploy data-driven solutions. The ideal candidate will collaborate with cross-functional teams to solve business problems using advanced analytics and AI/ML techniques, working with structured and unstructured datasets. Success in this role involves delivering end-to-end analytics or ML projects in production environments.

Key Responsibilities

Collect, clean, preprocess, and analyze large datasets from multiple sources.
Develop and implement machine learning and statistical models using Python.
Build predictive models for classification, regression, clustering, and forecasting.
Perform exploratory data analysis (EDA) to identify trends and business insights.
Design and optimize data pipelines for model training and deployment.
Develop APIs or deploy ML models using Flask/FastAPI or similar frameworks.
Collaborate with Data Engineers, Software Developers, and Business Stakeholders.
Create dashboards and visualizations using Power BI, Tableau, or Python visualization libraries.
Monitor model performance and retrain models as required.
Document methodologies, experiments, and technical solutions.

Requirements

Develop strong programming experience in Python.
Utilize hands-on experience with NumPy, Pandas, Scikit-learn, Matplotlib, and Seaborn.
Apply knowledge of machine learning algorithms and model evaluation techniques.
Leverage experience with SQL and relational databases.
Demonstrate a good understanding of statistics, probability, and data modeling.
Employ experience with Jupyter Notebook or similar environments.
Manage version control using Git/GitHub.
Apply familiarity with REST APIs and model deployment.
Hold a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
Obtain relevant certifications in Data Science, Machine Learning, or Cloud technologies.
Have 3–8 years of experience in Data Science or Machine Learning.
Deliver proven experience in end-to-end analytics or ML projects in production environments.

Good to Have

Apply Time Series Forecasting techniques.
Develop Recommendation Systems.
Utilize Computer Vision.
Perform Feature Engineering.
Leverage Big Data Technologies (Spark, Hadoop).
Work with Snowflake or Redshift.
Apply Azure Databricks.
Manage Airflow.

What We Offer

Opportunity to work with Deep Learning using TensorFlow or PyTorch.
Explore NLP (Natural Language Processing).
Engage with Generative AI / LLMs.
Gain experience with cloud platforms (AWS, Azure, or GCP).
Work with Docker and Kubernetes.
Apply Apache Spark or Databricks.
Utilize MLOps tools such as MLflow, Kubeflow, or Azure ML.
Implement CI/CD pipelines for ML deployments.

At a Glance

Work ModeOnsite

EmploymentFull-time

Experience4–6 yrs

Openings1

LocationPune

DeadlineAug 15, 2026

[ Hiring process ]

What to expect

Four stages, typically completed within 2–3 weeks. We respect your time — every stage has a clear purpose and timely feedback.

STEP 0130 min
Screening Call

Introductory conversation with our talent team to understand your background and motivations.

STEP 0260–90 min
Technical Round

Live problem-solving with a senior architect on Salesforce design, integrations, or domain depth.

STEP 0345 min
Culture Fit

Conversation with practice leadership covering working style, ownership, and how you collaborate.

STEP 04Within 5 days
Offer

Formal offer with full compensation breakdown, start date, and onboarding plan.

Apply Now

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