Senior Data Science Professional

1 week ago

Bengaluru, Karnataka, India beBeeDataScientist Full time ₹ 1,00,00,000 - ₹ 2,00,00,000

Our vision is to empower businesses with data-driven insights.

We are seeking a skilled Data Scientist who will lead the development and implementation of cutting-edge data solutions, leveraging expertise in Cognite Data Fusion, data modeling, Unified Namespace (UNS), ontologies, and data product identification. The ideal candidate will have a strong background in developing analytical 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 using 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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