Data Scientist Senior - Modeling & Customer Analytics
Data Scientist Senior - Modeling & Customer Analytics
Posted today
SENIORITY
Senior
About the role
- Bachelor's degree with 5+ years of relevant experience in Data Science, Analytics, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field; OR Master's degree with 3+ years of relevant experience.
- Strong experience in Data Science, Business Analytics, or Advanced Analytics roles.
- Advanced programming skills in Python, PySpark, SQL, or Jupyter
- Hub/Jupyter Notebook environments.
- Experience working in Linux environments.
- Experience with big data platforms, including Teradata and large-scale data processing frameworks.
- Strong statistical, analytical, and mathematical problem-solving skills. Experience developing predictive models and performing forecasting, and Clustering/Segmentation Analysis.
- Experience conducting ad hoc analyses and translating data into business recommendations.
- Ability to communicate complex analytical concepts effectively to business stakeholders, technical teams, and non-technical audiences.
- Experience developing data visualizations and dashboards using Tableau and/or Power BI.Strong coding, analytical, and communication skills.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
