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Data Scientist
Job Description
Key Responsibilities
- Analyze large datasets to discover trends and patterns
- Build predictive models and machine-learning algorithms
- Collaborate with product, engineering, and marketing teams to implement data-driven strategies
- Identify opportunities for data acquisition and automation of data processes
- Create clear visualizations and dashboards using tools like Power BI, Tableau, or Python libraries
- Maintain documentation of processes, models, and project results
Required Skills & Qualifications
- Bachelors or Masters in Computer Science, Statistics, Mathematics, or related field
- 25 years of experience as a Data Scientist or similar role
- Proficiency in Python or R for statistical analysis and machine learning
- Strong knowledge of SQL for data querying
- Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus
- Excellent problem-solving, critical thinking, and communication skills
- Preferred Qualifications
- Experience with NLP, Deep Learning, or AI model deployment
- Hands-on experience with frameworks like Scikit-learn, TensorFlow, or PyTorch
- Experience working in remote or distributed teams
More Info
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About Company
Skills:
Time Series Analysis, Machine Learning, Sql, Tensorflow, Numpy, Pandas, Pytorch, Python, scikit-learn, probabilistic forecasting, Statistics, statsmodels
Skills:
Data Manipulation, Data Transformation, Python Programming, data pipeline development, logic-based workflows, Analytics, SQL proficiency, Dataiku, common coding tools within Dataiku, Excel-like analytical methods
Skills:
Power Bi, Tableau, Data Modeling, Data Governance, Sql, Nosql, Data Integration, Machine Learning, MongoDB, Business intelligence dashboards, Onshape, Statistical methods, CAD data migration, Data quality standards, AI solutions
Skills:
Scripting languages (e.g. Python), Data querying languages (e.g. SQL), Power analysis and minimum detectable effect (MDE) calculations, Machine Learning, Data mining, Statistical Modeling, Applied statistics, Large-scale analytics
Skills:
statistical data analysis , Machine Learning, Natural Language Processing, Jira, Sql, Gitlab, Clustering, Python, UNIX command line, anomaly detection, Classification, data analysis libraries, Agile development frameworks, ML Ops, feature engineering, Azure AI Search