Inroads ยท 3 days ago
Manager I, Data Science
DC-Baltimore Area
Full-time
Onsite
Mid Level
$85K/yr - $85K/yr
4+ years expInroads is a company that applies data and analytics to create personalized services for communities. As Manager I, Data Science, you will lead data initiatives, collaborate with various teams, and develop machine learning models to improve program outcomes and ensure consumers receive necessary information.
Information Technology & Services
No H1B
U.S. Citizen OnlyHiring Manager
Britney C.
Responsibilities
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
Qualification
Required
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)
Preferred
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
Benefits
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
Company
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.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase