Back to job search
View more
Senior Data Scientist
Cork Permanent Competitive
About the job
We have partnered with a global client with a headquarters in Cork who is looking to expand their Data team, This is an exciting opportunity for a Senior Data Scientist who is looking for a new permanent opportunity.
Key Responsibilities:
- Develop machine learning solutions to support new business initiatives / facilitate next best actions
- Architect and lead implementation of driverless forecasting systems, levering best data science practices and technologies
- Lead DevOps of new and existing models, leveraging cloud / open-source technologies
- Develop inventory optimization / multi-echelon simulation framework for supply chain
- Support Transportation organization's forecasting and optimization needs.
- Fully automate existing forecasting solutions
- Design and guide implementation of model variance analysis and impact tracking framework
- Lead in deploying statistical models in production
- Lead in development of statistical simulation decision frameworks
Support stakeholders' analytic needs, gather user requirements, help drive adoption - Cultivate business development opportunities
- Assist in developing and maintaining long-term stakeholder relationships and networks
Qualifications
- Education: Bachelor's/Master's in Data Science, Computer Science, Statistics, Finance, Economics, Mathematics, or related field.
- Experience: 5+ years in data science or analytics. Demonstrated ability to tackle problems across the full data stack, from data wrangling (leveraging SQL or other methodologies) to stakeholder consumption at scale. Deep knowledge of machine learning / data science best practices
- Technical Skills: Proficiency in Python, R, SQL, machine learning libraries and programming.
- Soft Skills: Excellent communication, collaboration problem-solving, and organizational skills.
- Strong grasp of fundamental statistical concepts: linear regression, A/B testing, outlier analysis, probability distributions, tests for independence, etc.
- Knowledge of relational databases (e.g. MS SQL Server, Snowflake, Oracle)
- Knowledge of cloud computing platforms is a plus (e.g. Azure, AWS, Google Cloud, Databricks)
- Proficient with Excel spreadsheets, financial modeling, and reporting
- Prior data mining experience using enterprise systems (SAP or JD Edwards preferred)
- Knowledge of data warehousing & ETL best practices is a plus
If you are interested in this opportunity, please reach out today.
Morgan McKinley is acting as an Employment Agency and references to pay rates are indicative.
BY APPLYING FOR THIS ROLE YOU ARE AGREEING TO OUR TERMS OF SERVICE WHICH TOGETHER WITH OUR PRIVACY STATEMENT GOVERN YOUR USE OF MORGAN MCKINLEY SERVICES.