What are the responsibilities and job description for the Data Scientist position at Credible?
About the Role:
Our Business Intelligence and Analytics team is seeking to grow the company’s Data Science and Machine Learning capabilities across several facets of our business. We are seeking a seasoned Data Scientist to lead this transformative step change function and nurture its growth across several focus areas. You will drive tactical and strategic execution of several data science projects and manage their entire lifecycle.
You will:
You will:
- Drive the long-term statistical modeling and machine learning vision of the company.
- Conduct analyses to develop and improve our product recommendation and user classification systems. Use this understanding to help optimize our adaptive user experience, cross selling initiatives, and retargeting efforts.
- Develop lead scoring models and methodologies to predict Lifetime Value.
- Design, prototype, and implement models across several domains. Manage each part of a project’s life cycle, including ad-hoc exploration, preparation of training data, model development, and production deployment.
- Partner with engineers to deploy and consume data science models.
- Work with product and marketing managers, analysts, and engineers to turn insights about our users into automated services.
Education and Experience:
- BA/BS in Mathematics, Statistics, or Computer Science required. Masters Degree in a quantitative or scientific discipline strongly desired.
- 3 years experience in developing, testing, and deploying optimized predictive models (preferably to inform in-product recommendation systems and automated customer re-targeting efforts).
- Advanced statistical modeling skillset (Python, R, etc).
- Advanced SQL querying, data mining, and data cleansing skillset.
- Deep knowledge of supervised and unsupervised machine learning algorithms (neural networks, decision trees, etc.).
- Advanced knowledge of experiment design.
- Experience with Seldon-core or other MLOps tool is preferred.
- Hands-on experience with cloud infrastructure tools (EC2, S3, Redshift, Snowflake, containers).
- Advanced visualization/reporting and presentation experience.
- Version Control Experience (GitHub).
- Familiarity with ML deployment infrastructure (ETL, tools, new products in the space).
- Excellent strategic project planning skillset.
- Excellent communication skills (written and verbal).
- Experience at an e-commerce or fintech company a plus.
Must Haves:
- Ability to develop project plans and deliver results against quarterly and annual roadmaps.
- Comfortable working with loosely defined requirements where you exercise your creativity and analytical skills to deliver best in class solutions.
- Excellent written and verbal communication. Ability to articulate vision, complex thoughts, analytical processes, and results in clear business terms.
- Anticipate business needs and think with a business owner mindset – think critically about analyses and solutions and provide improvement recommendations. This role requires an individual who can work autonomously.
