Predictive Analytics Position with Startup
2 weeks ago
CRED is a pioneer in the use of data and intelligence to drive business outcomes in the sports industry. As a fast-growing startup, we offer a unique opportunity for data scientists to work on challenging projects and contribute to our mission.
We are seeking an experienced Data Scientist to join our Engineering team. In this role, you will apply your expertise in machine learning, statistical analysis, and predictive system development to drive business outcomes. Your primary focus will be on developing custom data models, implementing predictive models, and collaborating with functional teams to monitor results.
The ideal candidate will possess a strong background in data mining, data analysis, and machine learning techniques. You should be proficient in statistical programming languages (R, Python, SQL, etc.), familiar with data warehouses (Redshift, BigQuery, Snowflake), and knowledgeable about various machine learning techniques (clustering, decision trees, neural networks, etc.). Experience working in small startup environments and distributed teams/remote work is a plus.
We offer a competitive salary range of $120,000 - $180,000 per year, commensurate with experience. If you are passionate about data-driven solutions and want to make a meaningful impact in the sports industry, we encourage you to apply.
Responsibilities- Develop and implement custom data models and algorithms for application to datasets
- Apply predictive modeling to enhance customer experiences and revenue generation
- Collaborate with functional teams to implement models and monitor results
- Extract insights from company databases to inform product development and business strategies
- Evaluate the effectiveness and accuracy of new data sources and gathering techniques
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