Data Scientist I

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with stakeholders across the organization to gain insights into existing processes and pinpoint opportunities for utilizing data to drive solutions.

• Conduct data mining and analysis across various databases to develop solutions aimed at optimizing product development, client portfolios, and business strategies.

• Create and implement custom AI/ML models and algorithms applied to data sets to enhance products and processes.

• Perform exploratory data analysis to evaluate the effectiveness and accuracy of data for application in models and algorithms.

• Develop and execute A/B testing frameworks to measure model quality and validity.

• Communicate data analysis, model, and algorithm results to both business and technical teams to support informed decision-making.

• Design and construct predictive models to enhance and optimize portfolios, create revenue opportunities, reduce client attrition, and fine-tune portfolio segments for timely offers.

• Establish processes and tools for monitoring and analyzing model performance and data accuracy.

• Stay informed on industry standards and advancements in data-driven technologies and tools.

• Operate within an agile framework as necessary.

• Carry out additional responsibilities as assigned.

⛳️ Requirements

• Bachelor’s degree in Operations Research, Statistics, Mathematics, Computer Science, Physics, or a related field.

• Over 2 years of professional experience in business intelligence, data science, or operations research, with a focus on advanced analytics development.

• Proficient in programming languages such as Python and SQL.

• Familiarity with various machine learning techniques, including clustering, ensemble methods, and artificial neural networks.

• Understanding the advantages and limitations of each technique and when to apply them.

• Skilled in advanced statistical techniques, including various regression models (linear, logistic, polynomial, etc.) and forecasting methods, with hands-on experience.

• Knowledgeable about cloud platforms for data science, preferably Azure and Databricks.

• Familiar with big data platforms such as Databricks and/or Snowflake.

• General understanding of PCI standards and regulations.

• Familiar with Agile methodologies and practices.

• Experience with AI Models, NLP, and/or LLMs is preferred.

• Experience in building classification models is preferred.

• Exceptional verbal, written, and visual communication skills, with the ability to convey a narrative using data and visualizations.

🏝️ Benefits

• Competitive wages.

• Medical coverage with telemedicine options.

• Dental and Vision insurance.

• Basic and Optional Life Insurance.

• Paid Time Off (PTO).

• Maternity, Parental, and Family Care Community Volunteer Time Off.

• 12 Paid Holidays.

• Company Paid Disability Insurance.

• 401k plan with employer matching.

• Health Savings Accounts (HSA) with employer contributions.

• Flexible Spending Accounts (FSA).

• Supplemental Insurance options.

• Mental Health and Well-being support through the Employee Assistance Program (EAP).

• Tuition Reimbursement program.

• Wellness program.