Manager I, Data Science

About Inroads:

Inroads applies data, analytics, technology, research, and content development to co-create services and programs that are personalized, relevant, and engaging for the communities who rely on them. Our deep understanding of digital services, policy implementation, and ways communities consume information allows us to seamlessly integrate with organizations and public sector teams to revolutionize the ways they deliver complex services at scale.

About the role:

As Manager I, Data Science, you will work with a team of analysts, data scientists, and engineers to drive high-impact results for millions of Americans. The team’s mission is to help ensure that millions of consumers receive the information they need through personalized emails, text messages, and phone calls to enroll in health insurance. You will use a combination of statistics, programming, and domain knowledge to solve problems and answer business questions. You have strong technical skills and are a creative thinker who always seeks to innovate and deliver value to our clients. You aren’t afraid of messy data and are comfortable working in a fast-paced, production-oriented environment. Our team members collaborate often but are given a chance to complete projects independently.

In this position you will:

• Lead data initiatives by gathering project requirements, selecting appropriate methodologies, and implementing experiments or models effectively with minimal oversight
• Collaborate with leadership to design and evaluate experiments and make recommendations based on the findings
• Conduct exploratory data analysis to uncover insights that drive program improvements and inform decision-making
• Develop and deploy machine learning models, and data-driven tools that enhance predictive analytics capabilities and program outcomes
• Explore new & existing data sets, bringing the curiosity and detail orientation required to deeply understand how data flows through our system
• Design and implement processes to clean, transform, and validate data, ensuring every analysis is built on a foundation of accuracy and reliability
• Contribute to the design, implementation, and delivery of analytics products and services
• Collaborate with engineers, analysts, data scientists, program managers, and external stakeholders to troubleshoot problems and proactively create solutions
• Strive to support team excellence by documenting processes and staying up to date with new approaches
• Work both independently and as part of a team to deliver accurate products on short deadlines
• Complete such other reasonable tasks as may be assigned by management

What we are seeking:

• 4+ years of applied experience working with structured/unstructured data.
• An undergraduate degree or higher in a quantitative field or equivalent technical training.
• Experience in and ability to apply your knowledge of foundations of statistics and modeling (distributions, parameter estimation, confidence intervals, and tests, etc.)
• Experience working through ambiguity and making decisions with imperfect data 
• Ability to hone in on the right questions to answer and perform analyses that help connect the dots for our Client and internal team
• Advanced understanding of a statistical programming language such as R or Python
• Experience building predictive models using regression and machine learning techniques
• Ability to manipulate data with SQL
• Experience with experimental design and causal inference
• Familiarity with Git for version control and collaborative development
• Ability to effectively communicate technical concepts to a non-technical audience, both in writing and verbally
• A high attention to detail and the ability to effectively manage and prioritize several tasks or projects concurrently
• Effective communication and collaboration skills when working with team members of varied backgrounds, roles, and functions
• Passion in applying your skills to our social mission to problem-solve and collaborate within a cross-functional team environment
• The ability to successfully attain and maintain a Federal Public Trust background investigation that our government clients require; this includes a requirement that the individual has U.S. Citizenship, or U.S. residency for three of the past five years (minimum 36 of the past 60 months).

You may also have experience:

• Working with consumer and marketing data
• Experience with causal inference for experimentation design and machine learning, particularly with classification and time series forecasting models
• Working with business intelligence software like Tableau.
• Working with Snowflake and dbt

What We Offer:

Inroads offers a friendly work environment and competitive compensation and benefits package including:

• Salary: $85,000
• Premier health, dental, and vision insurance plans
• 401K matching
• Unlimited paid time off
• Paid personal and volunteer leave
• 13 paid holidays
• 15 weeks paid parental leave
• Professional development stipend & tuition reimbursement
• Macbook Pro laptop & tech accessories
• Bring Your Own Device (BYOD) stipend for mobile device
• Employee Assistance Program (EAP)
• Supportive & collaborative culture
• Flexible working hours
• Pre-tax transportation options for commuting to our office in Washington, DC
• Lunches and snacks

The salary range for candidates who meet the minimum posted qualifications reflects the Company’s good faith understanding and belief as to the wage range, and is accurate as of the date of this job posting.

At Inroads, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. Inroads endeavors to make reasonable accommodations for qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Senior Director, People Operations. Inroads participates in E-verify. EEO is the Law.

Collection of Personal Information Notice:

As you are likely aware, by submitting your job application, you are submitting personal information to our company. We collect various categories of personal information, including identifiers, protected classifications, professional or employment related information and sensitive personal information. We may retain and use this information for up to three years, in order to come to a decision on whether or not you are a good fit for our company. We may also retain or use some of this information to comply with any requirements under law, or for purposes of defending ourselves in any litigation. We do not use this information for any other purpose, or share it with third parties, unless you become an employee. To learn more, or to see our full Notice to Job Applicants, please click here.