We are seeking a Senior Data Scientist to join our team. As a Senior Data Scientist, you will be responsible for leveraging advanced data science methodologies to drive predictive and prescriptive intelligence for business applications. The ideal candidate will be a problem solver with a natural curiosity and entrepreneurial mindset, who is confident with statistics and able to explain complex concepts and results to non-technical audiences.
Key Responsibilities:
- Use appropriate data science techniques such as statistics, simulation, optimization, and machine learning to answer specific quantitative questions.
- Design, engineer, develop, operationalize and modify complex and/or specialized data science products.
- Forge strong relationships and partnerships with key stakeholders to understand business needs and maximize user buy-in.
- Ensure solutions are sustainable and adequately packaged for support handover.
- Conduct written and verbal presentations to share insights and recommendations to audiences of varying technical sophistication.
- Actively seek customers where support could be offered and proactively identify real business needs.
- Research trends in data science tools and techniques for continuous improvement.
- Contribute to the data science community specific data science topics.
- Participate in and contribute to Data Science CoP sessions and share own ideas/knowledge/experience within the Science community.
Requirements:
- Bachelor’s degree in Statistics, Mathematics, Data Science, Operations Research, or Engineering. A Master’s degree in any of these fields will be advantageous.
- At least 8 years of applied experience using advanced analytics, statistical methods, and data science.
- Advanced coding capability in R/Python and SQL.
- Applied data science delivery in retail/customer loyalty, price/cost optimization, inventory optimization, sales and operations planning, or digital twins is preferred.
- Experience in Agile project delivery is required.
- At least 2 years’ experience in distributed computing, Databricks, Spark, containers, Git, and building effective CI/CD pipelines, PowerBI, web frameworks.
- Azure certifications will be preferred.
- Good presentation and communication skills with a knack for explaining complex analytical concepts to people from other fields.
They offer a unique set of benefits to our employees, including a supportive learning and development culture. Join us? Please apply.
Desired Skills:
- data scientist
- statistics
- coding
- python
- SQL
- azure
- Agile
- PowerBI
Desired Work Experience:
- 5 to 10 years Data Analysis / Data Warehousing
Desired Qualification Level:
- Degree