
Analytics Lead
2 days ago
We are seeking an experienced Data Scientist to lead our data-driven initiatives and drive business growth through data analysis and interpretation.
Job Overview:
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.
- 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.
- Analyze large and complex data sets to identify trends, insights, and opportunities, supporting solution development and business strategies.
- 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.
- Engage with clients to understand their business objectives, lead discovery workshops, and provide expert guidance on data-driven strategies and potential challenges.
- 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.
- Provide guidance and mentorship to junior team members, promoting best practices in data science and software development.
Required Skills and 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.
Benefits:
This role offers a competitive salary, comprehensive benefits package, and opportunities for professional growth and development.
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