Data Scientist I

Early Warning Services is hiring a Data Scientist I to support end-to-end machine learning and artificial intelligence work, from business problem understanding through model deployment and ongoing monitoring. The role operates in collaboration with senior technical and business leaders.

Role Overview

This position serves as a data science team member delivering machine learning and AI concepts start to finish. Responsibilities include understanding the business problem, aggregating and exploring data, building and validating algorithms, and quantifying model value for Early Warning Customers through simulations using real world inputs. The role also includes articulating model risks, deploying completed models to support business results, and regularly measuring model accuracy, drift, and performance.

Key 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.
• Contribute to Internal model validation procedures, support external Model Validations, and perform regular model validation as part of the Model Risk Management program.
• Independently explore and aggregate data to identify data anomalies that impact algorithm performance.
• Deliver 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 to arrive at 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 supporting business development efforts for current and future models.
• Explain and visualize results and algorithm performance for non-technical audiences.
• Support the company commitment to protect the integrity and confidentiality of systems and data.

Required Qualifications

• Bachelor’s degree in Engineering, Mathematics, Statistics, Computer Science, Operational Research, or a related field, or equivalent work experience.
• Minimum 2 years of data science, engineering, mathematics, or related work, including internships or course experience (with a Bachelor’s degree); also acceptable is a Master’s degree without experience (or some internship).
• Ability to write model development technical documents.
• Willingness to troubleshoot system or data issues that hinder analytics environment functionality.
• Experience using data visualization tools.
• Ability to write production-level code that is well-written and explainable.
• SAS, Python, SQL, or R training or experience.
• Experience applying various machine learning techniques and understanding key parameters affecting performance.
• Ability to communicate findings from complex analyses to non-technical audiences and across different employee levels, with proven technical and analytical skills.
• Ability to work on multiple projects concurrently, manipulate large datasets, and produce business-relevant results.
• Background and drug screen.

Preferred Qualifications

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

Tools and Technologies

• SAS
• Python
• SQL
• R
• scikit-learn
• pandas

Location and Work Model

Hybrid work is available for positions located in Scottsdale, AZ, as well as Scottsdale, San Francisco, Chicago, or New York locations to support a more collaborative working environment.

Compensation

USD 97,000 - 149,000 per year. Pay scale varies by location. Candidates may also be eligible for a discretionary incentive plan and benefits.

• Phoenix, AZ / Chicago, IL / Washington, DC: $97,000 - $124,000 (USD per year)
• New York, NY / San Francisco, CA: $116,000 - $149,000 (USD per year)

Benefits

• Competitive medical (PPO/HDHP), dental, and vision plans
• Company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health, and dependent care expenses
• 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility (401(k) Retirement Plan)
• Flexible Time Off for Exempt (salaried) employees
• Generous PTO for Non-Exempt (hourly) 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

Work Authorization

Candidates must independently possess eligibility to work in the United States for any employer as of the date of hire. This position is ineligible for employment Visa sponsorship.

Physical Requirements

• Normal office environment; primarily sedentary work requiring extensive computer use and sitting for periods of approximately four hours
• May require occasional standing, walking, kneeling, and reaching
• Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently
• Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers
• Requires the ability to communicate with internal and/or external customers

Equal Opportunity Note

Pursuant to the San Francisco Fair Chance Ordinance, Early Warning Services will consider for employment qualified applicants with arrest and conviction records.