Data Scientist

4 hours ago

Ann Arbor, Michigan, United States BlueConduit Full time
About BlueConduit:

BlueConduit is a pioneering company in the field of predictive modeling and decision optimization. Founded in 2019 in response to the Flint water crisis, we have developed innovative approaches to lead service line identification and replacement, saving communities millions of dollars in avoided digs. Our mission is to use data science and AI for public good, improving social equity, and protecting the environment.

About the Role:

We are seeking a Mid-Level Data Scientist to join our team. As a key member of our data science team, you will collaborate with our software engineers to develop and implement advanced predictive models and decision optimization algorithms that solve our municipal customers' critical infrastructure issues. You will leverage your expertise in data analysis, statistical modeling, and machine learning to deliver actionable insights to our customers and build the engine that will drive our software products.

Key Responsibilities:

- Collaborate closely with our data science team to continuously improve our software and workflows
- Implement our predictive models and decision optimization algorithms using our proprietary data science and machine learning processes
- Work to improve model performance and interpretability for each customer
- Collaborate with our customer success team to deliver model results into our customers' ESRI ArcGIS system, including configuring internal tools/code and presenting explainable model insights with data visualization
- Understand customers' needs and requirements, and be able to effectively communicate our processes, requirements, and recommendations to non-technical audiences
- Stay current with the latest advancements in data science, machine learning, and predictive modeling techniques
- Actively engage in R&D to identify how to continue to scale the impact of our data science work

Qualifications:

- Curiosity to learn and desire to value the human side of data science
- Passion for data science for social good and environmental justice
- Experience building and improving machine learning models and data pipelines
- Experience writing reproducible data science code that has been the basis for production code in software products
- Experience with building human-in-the-loop data science processes that blend automate-able and difficult-to-automate tasks
- Customer-centric and service-driven around timeliness, attention to detail, and quality
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field
- 5+ years of experience in data analysis, statistical modeling, and machine learning
- Proficiency and substantial experience in Python, especially Pandas, Scikit-learn, PySpark, and Numpy
- Proficiency in Git workflow
- Solid understanding of machine learning and statistical models and techniques, including validation and evaluation of model performance
- Experience with issues related to modeling, such as selection biases and causal inference
- Experience working with messy data, iterating with clients on a shared dataset
- Experience with geospatial data models and visualization tools such as ESRI
- Strong problem-solving skills and ability to work independently or collaboratively in a team environment
- Excellent data visualization and communication skills with the ability to explain complex technical concepts to non-technical customers
- Previous experience working in either a predictive modeling/analytics-focused company or a software-as-a-service start-up company

Preferred Qualifications:

- Experience with data models and pipelines in Databricks or other cloud providers
- Experience with building production-level ML pipelines from scratch using PySpark, or other Spark or similar frameworks
- Experience training, evaluating, implementing, and communicating results of bespoke models in a client-facing context
- Previous experience working directly with customers
- Previous data science or analytics role at a software-as-a-service company

Nice-to-Have Qualifications:

- Experience using cloud computing systems to scale data science capabilities
- Experience with Agile product development, such as sprints, standups, and scrums
- Familiarity with infrastructure, water quality, or government data

Location:

Remote

Compensation:

Salary range ($125-145K), depending on level of experience
Stock options
Health benefits
Simple IRA benefit
Co-working space/work place stipend

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