data scientist
Responsibility
- CRED is a fast-growing startup helping individuals and companies to reach their full potential
- the Engineering team at CRED is looking for a savvy Data Scientist to join our growing team of analytics experts
- you must be self-directed and comfortable supporting the data needs of multiple teams, systems and products
Show more +10 - mine and analyze data from company databases to drive optimization and improvement of product development and business strategies
- assess the effectiveness and accuracy of new data sources and data gathering techniques
- we use data and intelligence to power footballers, football clubs, brands and other individuals and organisations within the sports space, enabling them to accelerate their financial, commercial and sporting development
- develop custom data models and algorithms to apply to data sets
- use predictive modeling to increase and optimize customer experiences, revenue generation, and other business outcomes
- your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products
- coordinate with different functional teams to implement models and monitor outcomes
- you are adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action
- you must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations
- the right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes
Requirements
- bachelor degree in STEM field, especially software engineering, computer science, machine learning, or statistics related
- experience using statistical computer languages such as R, Python, SQL, etc
- experience with SQL and NoSQL databases such as Postgres and Mongo
Show more +7 - experience with data warehouses such as Redshift, BigQuery, or Snowflake
- knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks
- knowledge of advanced statistical techniques and concepts and experience with applications
- bonus Points
- graduate degree in STEM field, especially software engineering, computer science, machine learning, or statistics related
- experience with BI tools such as Looker, Tableau, or Power BI
- experience in small startup environments
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