P
Senior Data Scientist
$ 800 - $ 1,000 / month
Checking job availability...
Original
Simplified
Job Description
- Identify use cases allowing to take advantage of GenAI & Machine Learning capabilities
- Define data science approaches that fit with clients business challenges, using state-of-the-art methods to solve problems of large dimensionality in a computationally efficient and statistically effective manner.
- Build advanced algorithms, using statistical knowledge and machine learning techniques to identify trends, patterns and predictive signals on large data sets
- Interact with business stakeholders to understand business data and analytics requirements and identify data-driven business opportunities
- Responsible for explores information from multiple diverse sources, analyzing data and gain insights into business intelligence that is actionable
- Identify and uncover new opportunities, insights, trends, and patterns from analysis to key stakeholders/decision-makers
- Stay up-to-date with the latest data science and data engineering techniques and tools
- Deploy ML models into production (either alone or working with data engineers if necessary)
Requirements
- Degree in Computer Science, Computer Engineering or a related field
- Over 8 years expertise in Data Science and Data Analytics.
- Strong understanding of programming languages such as Python, R, or SQL.
- Proficiency in statistical analysis, machine learning algorithms, and data visualization techniques.
- Excellent leadership and team management skills, with the ability to motivate and inspire a team of data scientists.
- Strong communication and presentation skills, with the ability to convey complex concepts to non-technical stakeholders.
- Proven track record of successfully leading and delivering data science projects and initiatives.
- Experience working Agile and DevOps; familiar with DataOps.
- Must be able to work collaboratively with cross-functional cross-geographical teams to analyze and understand business needs.
- Good oral and written English: ready to present to a technical audience.
- 3 Positions available
Job Description
- Identify use cases allowing to take advantage of GenAI & Machine Learning capabilities
- Define data science approaches that fit with clients business challenges, using state-of-the-art methods to solve problems of large dimensionality in a computationally efficient and statistically effective manner.
- Build advanced algorithms, using statistical knowledge and machine learning techniques to identify trends, patterns and predictive signals on large data sets
- Interact with business stakeholders to understand business data and analytics requirements and identify data-driven business opportunities
- Responsible for explores information from multiple diverse sources, analyzing data and gain insights into business intelligence that is actionable
- Identify and uncover new opportunities, insights, trends, and patterns from analysis to key stakeholders/decision-makers
- Stay up-to-date with the latest data science and data engineering techniques and tools
- Deploy ML models into production (either alone or working with data engineers if necessary)
Requirements
- Degree in Computer Science, Computer Engineering or a related field
- Over 8 years expertise in Data Science and Data Analytics.
- Strong understanding of programming languages such as Python, R, or SQL.
- Proficiency in statistical analysis, machine learning algorithms, and data visualization techniques.
- Excellent leadership and team management skills, with the ability to motivate and inspire a team of data scientists.
- Strong communication and presentation skills, with the ability to convey complex concepts to non-technical stakeholders.
- Proven track record of successfully leading and delivering data science projects and initiatives.
- Experience working Agile and DevOps; familiar with DataOps.
- Must be able to work collaboratively with cross-functional cross-geographical teams to analyze and understand business needs.
- Good oral and written English: ready to present to a technical audience.
- 3 Positions available