Senior Data Scientist

n 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: Bachelor's 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 we're 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.