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Data Scientist- Across PAN India

Data Scientist- Across PAN India

Capgemini EngineeringBengaluru, Karnataka, India
13 days ago
Job description

Position Title : Data Scientist

Company Overview : Capgemini Engineering is a global leader in engineering services, bringing together a worldwide team of engineers, scientists, and architects to assist the most innovative companies in unleashing their potential.

Position Overview : We are seeking a skilled Data Scientist with expertise in Cognite Data Fusion, data modelling, Unified Namespace (UNS), ontologies, and the identification of data products and datasets. The ideal candidate will have a strong background in developing and implementing data science projects, analyzing large and complex data sets, and driving data-driven decision-making across the organization

Key Responsibilities :

  • Solution Development : Design, implement, and deploy scalable data solutions utilizing Cognite Data Fusion, focusing on data modeling, UNS, and ontologies to address industry-specific challenges.​
  • Data Analysis : Analyze large and complex data sets to identify trends, insights, and opportunities, supporting solution development and business strategies.​
  • Collaboration : Collaborate with cross-functional teams to understand data needs and translate them into data science solutions, ensuring seamless integration and operationalization of digital solutions across various domains.
  • Client Engagement : Engage with clients to understand their business objectives, lead discovery workshops, and provide expert guidance on data-driven strategies and potential challenges.​
  • Visualization : Develop dashboards and visualizations using tools such as Power BI, Grafana, or web development frameworks like Plotly Dash and Streamlit to effectively communicate data insights.​
  • Mentorship : Provide guidance and mentorship to junior team members, promoting best practices in data science and software development.​

Qualifications :

  • Educational Background : Master’s or PhD degree in a quantitative field.​
  • Experience : Minimum of 2 years of experience in data science, with a strong background in developing analytical solutions within domains such as pharma, oil and gas, manufacturing, or power & utilities.​
  • Technical Skills : Proficiency in Python and its data ecosystem (pandas, numpy), machine learning libraries (scikit-learn, keras), and experience with SQL.​
  • Visualization Tools : Experience with data visualization tools like Power BI, Grafana, Tableau, or web development frameworks such as Plotly Dash and Streamlit.​
  • Software Practices : Strong understanding of software development practices, including version control (e.g., Git), automated testing, and documentation.​
  • Cloud Platforms : Experience with cloud services such as GCP, Azure, or AWS is advantageous.​
  • Domain Knowledge : Familiarity with industrial data management concepts, including Unified Namespace (UNS), ontologies, and data product identification.​
  • Communication Skills : Excellent communication and collaboration skills, with the ability to work with cross-functional teams and stakeholders.​
  • Leadership : Demonstrated ability to lead projects and mentor junior team members.​
  • Preferred Qualifications :

  • Industry Expertise : Experience serving as a domain expert on internal or customer projects within relevant industries.​
  • Cloud Deployment : Experience deploying models and solutions in production environments using cloud infrastructure.​
  • Continuous Learning : Willingness to stay updated with the latest developments in data science and related technologies.​
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