Industry Data Scientist

21 hours ago

Erode, Tamil Nadu, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Title: Data Insights Specialist - Industry Solutions

We are seeking a highly skilled data insights specialist to drive business growth through data-driven decision-making. As a key member of our industry solutions team, you will design, implement, and deploy scalable data solutions utilizing Cognite Data Fusion, focusing on data modeling, Unified Namespace (UNS), and ontologies to address industry-specific challenges.

Key Responsibilities:

  • Data Solution Development: Collaborate with cross-functional teams to develop data science projects that meet the needs of various domains.
  • Data Analysis: Analyze large and complex data sets to identify trends, insights, and opportunities, supporting solution development and business strategies.
  • Cross-Functional Collaboration: Work closely with stakeholders to understand data requirements and translate them into actionable data science solutions.
  • Data Visualization: Develop interactive dashboards and visualizations using tools such as Power BI, Grafana, or web development frameworks like Plotly Dash and Streamlit to effectively communicate data insights.
  • Talent Development: Mentor 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.

What We Offer:

  • Opportunity to Work with Industry-Leading Technologies: Stay up-to-date with the latest advancements in data science and technology.
  • Collaborative Environment: Work with a talented team of data scientists, engineers, and stakeholders to deliver impactful solutions.
  • Professional Growth: Opportunities for career advancement and professional development in a dynamic and growing organization.
  • Competitive Compensation and Benefits: Receive a competitive salary and benefits package, including health insurance, retirement plans, and paid time off.

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