Location
Jersey City, NJ | United States
Job description
Job Seekers, Please send resumes to [email protected]
Job Responsibilities:
- Collaborate with stakeholders across the organization to identify opportunities for data - driven solutions.
- Mine and analyze data from company databases to optimize processes and business strategies.
- Evaluate the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to apply to datasets.
- Utilize predictive modeling to enhance customer experiences, revenue generation, and other business outcomes.
- Establish and implement an A/B testing framework to assess model quality.
- Partner with functional teams to implement models and monitor their impact.
- Develop processes and tools to monitor model performance and data accuracy.
Qualifications:
- Masters or PhD degree in Statistics, Mathematics, Computer Science, or a related quantitative field.
- 5-7 years of experience in data manipulation, statistical modeling, and data analysis.
- Strong problem-solving skills with a focus on product development.
- Proficiency in statistical computer languages (e.g., R, Python) for data manipulation and analysis.
- Experience in data architecture design and implementation.
- Comprehensive knowledge of machine learning techniques (e.g., clustering, decision tree learning, artificial neural networks) and their practical applications.
- Familiarity with advanced statistical concepts (e.g., regression, distribution properties, statistical tests).
- Excellent written and verbal communication skills for effective collaboration across teams.
- A passion for exploring new technologies and techniques.
Preferred Skills and Experience:
- Coding knowledge and experience in multiple languages (e.g., C, C++, Java, Python).
- Expertise in statistical and data mining techniques (e.g., GLM/Regression, Random Forest, Boosting, Trees).
- Experience querying databases and using statistical computer languages (e.g., R, Python).
- Familiarity with web services.
- Experience developing and applying advanced machine learning algorithms (e.g., regression, simulation, modeling, clustering).
- Experience analyzing data from third-party providers (e.g., Google Analytics, Site Catalyst).
- Knowledge of distributed data/computing tools (e.g., Map/Reduce, Hadoop, Hive, Spark).
- Experience working in a cloud platform Azure, GCP, AWS and their datawarehouse technologies BigQuery, Snyapse etc
- Knowledge/Experience with Snorkel AI is a strong plus
Job tags
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