Senior Data Scientist
Senior Data Scientist
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Job Description
Job Description:
Job Summary
Royal Canin is rapidly transforming into a business powered by data. To accelerate achieving this objective we are expanding our footprint in statistical modelling advanced analytics and machine learning. To help us evolve we are looking for a skilled and motivated data scientist to join our central Data & Analytics team.
In this role you will help our product squads generate and leverage data-driven insights to solve complex business problems and generate value. You will work closely with other Data Scientists Engineers and Product specialists to analyze data build diagnostic and predictive models and develop analytical solutions that drive operational efficiencies and support decision-making
What are we looking for
- 4-7 years of experience in an Applied Data Science role or equivalent ideally within the CPG Consumer Products Retail Telecom or Financial Services industries.
- Solid knowledge and experience with modeling techniques such as Regression/GLM Random Forest Boosting Deep Learning text mining and social network analysis. Experience with optimization techniques a plus.
- Proficient with Python including familiarity with packages and frameworks for data manipulation and analysis (e.g. NumPy Pandas scikit-learn TensorFlow PyTorch) and (Py)Spark for data processing and analysis.
- Experience with data visualization tools such as matplotlib Power BI React Dash.
- Familiarity with SQL/Hive for data extraction and manipulation as well as working with big data platforms such as the Hadoop ecosystem and Apache Spark.
- Strong problem-solving communication presentation and stakeholder engagement skills with a focus on data quality and accuracy.
- Good communication skills to effectively collaborate with team members and present findings to stakeholders.
- Ability to work independently and as part of a team managing multiple priorities and meeting deadlines.
- Required: Either academic or self-taught background related to Data Science
- Preferred: Bachelors degree in a quantitative field such as Statistics Mathematics Computer Science or a related discipline.
- Preferred: Professional accreditation in Data Science; e.g. Azure Data Scientist Associate CAP DASCA SDS
What will be your key responsibilities
- Apply statistical modeling and machine learning techniques to develop predictive and prescriptive models that address specific to complex business problems.
- Working predominantly with early-life MVPs and/or prototypes seek to iteratively develop these into scalable analytics products.
- Conduct exploratory data analysis to identify trends patterns and actionable insights. Use these to develop test validate and deploy robust analytical models ensuring accuracy and scalability.
- Partner with Product Managers and Data Engineers to ensure such EDA work is both value-driving and technically feasible.
- Use compelling data visualizations and storytelling ability to present complex technical concepts results and recommendations clearly to both technical and non-technical audiences.
- Conduct rigorous testing and validation of models to ensure accuracy and reliability.
- Review and debug efforts of other Data Scientists seeking to enhance outputs.
What can you expect from Mars
- Work with diverse and talented Associates all guided by the Five Principles.
- Join a purpose driven company where were striving to build the world we want tomorrow today.
- Systematic learning and development support from day one including access to our in-house Mars University.
- An industry competitive salary and benefits package including company bonus.
Required Experience:
Senior IC
Employment Type
Full-Time
