Data Scientist

3 weeks ago


Pune, India Genzeon India Full time

**About Genzeon**

Delivering excellence in IT services and solutions for the retail and healthcare sectors. Genzeon is a leading provider of intelligent automation, security, compliance, cloud, and managed services. Our healthcare capabilities integrate data systems, facilitate information flow, and leverage interoperability to improve clinical and operational outcomes. Genzeon empowers retail enterprises with multichannel IT solutions that deliver a personalized experience for consumers.

**Data Scientist Essential Functions**:

- Analyze data and build EDAs to identify data patterns
- To stay current with the newest tools, trends, and technologies in AI
- Build predictive models and machine learning algorithms using the latest frameworks
- Collaborate with other data scientists, data engineers, and product stakeholders to ensure the end-to-end success of the solutions.
- Communicate the value of data models through logical, cohesive stories.
- Propose solutions and strategies to business challenges
- Exhibit a passion for clean code and simple solutions to complex problems

**Qualifications**:

- 4+ years' experience in data analytics, data science, quantitative analysis using statistical computer languages (Python, SQL, etc.) to draw insights from large data sets
- Experience with a variety of AI predictive learning techniques such as decision trees, random forest, logístical regression, clustering, taxonomies, statistical classifications, etc.
- Experience with unstructured data or computer vision models is a plus
- Experience developing data offerings using Streamlit, Dash/Plot.ly, Dask or R Shiny
- Extensive model implementation experience using Scikit learn, Keras, PyTorch or XGBoost
- Basic experience with Linux, Git, Jupyter Notebooks is must
- Knowledge of Agile development practices
- Flexibility and adaptability to respond to a rapidly changing environment
- Experience with distributed computational techniques and job orchestration tools and platforms is very valuable: airflow, Argo, etc.


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