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AdTech • Fintech
The Data Scientist will develop predictive models and collaborate with teams to analyze performance metrics, communicate insights, and innovate solutions for clients.
Top Skills:
AutogluonMatplotlibNumpyPandasPythonPyTorchScikit-LearnTensorFlow
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead a team in developing GenAI solutions through data analysis and insights extraction while managing client relations and business development.
Top Skills:
AWSAzureCi/CdGitGCPNltkNoSQLPandasPythonSQL
Information Technology • Software
The Data Scientist at Cognira will analyze customer data using statistical methods, create forecasts, and support business needs while developing machine learning models under senior supervision.
Top Skills:
DatabricksExcelGitJIRAJupyterKubernetesLinuxNumpyPandasPysparkPythonSparkSQL
Key Responsibilities
- Develop models, scores, and attributes that improve our clients’ bottom lines.
- Participate in data studies to analyze the performance of our products and their success in meeting key client performance metrics.
- Build predictive models, scores, and attributes that are marketable to our audience.
- Test our models, scores and attributes with a client’s test data and create a powerpoint with the sales team that showcases how our products work for each client.
- Work collaboratively with sales and the backend engineers to create innovative solutions that push our products forward.
- Engage with clients and internal teams to become an expert in our unique industry, understanding the real-world impact of our data science applications.
- Perform rigorous quality assurance to ensure data integrity and accuracy.
- Stay up to date with the latest advancements in AI and machine learning, applying innovative approaches to our evolving methodologies.
Required Skills & Experience
- 2+ years of experience in data science, AI, or machine learning (we prioritize skill over tenure).
- Proficiency in Python and its data science libraries (e.g., Pandas, NumPy, Scikit-learn, Matplotlib).
- Experience developing predictive models and scores to drive business outcomes.
- Strong data visualization and storytelling skills, with the ability to communicate insights to both technical and non-technical stakeholders.
- Proficiency with machine learning frameworks, including TensorFlow, PyTorch, or AutoGluon.
- Understanding of how data science contributes to revenue growth and business strategy.
- A collaborative mindset with a strong desire to learn and innovate.
- Ability to thrive in a fast-paced, evolving environment where adaptability is key.
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
