Data Scientist I

Early Warning Services • Scottsdale, AZ

23h • $97,000 - $149,000 • Hybrid

About The Position

The Data Scientist I serves as a member of the data science team, delivering machine learning and artificial intelligence solutions from start to finish in collaboration with senior technical and business leaders. The work includes understanding business problems; aggregating and exploring data; building and validating algorithms; evaluating model value for Early Warning customers through simulations using real-world inputs; articulating model risks; deploying models; and measuring model accuracy, drift, and performance.

The role supports analytics, model development, validation, and customer-value testing. It involves working with Product, Engineering, and Sales teams, explaining results to non-technical audiences, and protecting the integrity and confidentiality of company systems and data. Early Warning uses a hybrid work model. The position is based in a normal office environment and requires extensive computer use.

Requirements

• Bachelor’s degree in Engineering, Mathematics, Statistics, Computer Science, Operational Research, or a related field, or equivalent work experience.
• At least 2 years of data science, engineering, mathematics, or related work, internship, or coursework experience with a bachelor’s degree; alternatively, a master’s degree with no experience or some internship experience.
• Ability to write model-development technical documents.
• Experience using data-visualization tools.
• Ability to write well-written, explainable production-level code.
• Training or experience in SAS, Python, SQL, or R programming.
• Experience applying machine-learning techniques and understanding key parameters that affect their performance.
• Ability to communicate findings from complex analyses to non-technical audiences.
• Ability to communicate with employees at various levels, with demonstrated technical and analytical skills.
• Ability to work on multiple projects concurrently, manipulate large data sets, and produce business-relevant results.
• Must complete a background and drug screen.
• Must independently be eligible to work in the United States for any employer by the date of hire; this position is ineligible for employment visa sponsorship.
• Must be able to perform the essential functions and physical requirements of the position with or without reasonable accommodation.

Nice To Haves

• Master’s degree in Mathematics, Statistics, Computer Science, Engineering, Operational Research, or a related field.
• Knowledge of machine-learning algorithms.
• Experience using machine-learning libraries such as scikit-learn and pandas.
• Experience writing and tuning SQL.
• Experience developing data-science pipelines and workflows in Python, R, or equivalent programming languages.
• Demonstrable ability to handle ambiguity, prioritize needs, and deliver results in a dynamic environment.

Responsibilities

• Produce standard and ad hoc analytic reports.
• Assist with developing, testing, and documenting open-source code for data analysis and modeling.
• Perform data analysis tasks, including programming data transformations, interpreting results, and investigating root causes.
• Participate in creating internal model-validation procedures, support external model validations, and perform regular validation as part of the Model Risk Management program.
• Explore and aggregate data independently to uncover anomalies that affect algorithm performance.
• Perform end-to-end feature engineering, including brainstorming, creating, validating, and down-selecting features.
• Write production-level code in a dynamic, fast-paced environment.
• Apply a variety of machine-learning techniques to business problems and identify an optimal approach.
• Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
• Partner with Sales and Product teams to perform customer-value tests that support business development for current and future models.
• Explain and visualize results and algorithm performance for non-technical audiences.
• Support the company's commitment to protecting the integrity and confidentiality of systems and data.
• Troubleshoot system or data issues that hinder analytics-environment functionality.
• Perform other related duties as assigned by the supervisor.

Benefits

• Competitive medical plans (PPO/HDHP), dental insurance, and vision insurance.
• Company contributions to a Health Savings Account or pre-tax savings through flexible spending accounts for commuting, health, and dependent-care expenses.
• 401(k) retirement plan with a 100% company Safe Harbor match on the first 6% deferred, immediately upon eligibility.
• Flexible Time Off for exempt employees and generous PTO for non-exempt employees.
• 11 paid company holidays and a paid volunteer day.
• 12 weeks of paid parental leave.
• Maven Family Planning support, including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.
• Discretionary incentive plan.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level