Data Scientist

Summary

Join MO, a company dedicated to improving government services through user-centered design, as a Data Scientist. Collaborate with cross-functional teams to create engaging design solutions. Analyze complex datasets, develop measurement strategies, and visualize data to inform strategic decision-making. Communicate findings clearly to both technical and non-technical stakeholders. Continuously monitor and improve model performance. Contribute to data pipeline design and ensure data quality. This role requires a strong design background and proficiency in data science techniques.

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• 5 or more years of industry experience in a data science or analytics role
• Proficiency in Python and/or R; familiarity with libraries such as pandas, scikit-learn, TensorFlow, or PyTorch
• Experience working with SQL and querying large databases
• Experience with data visualization tools such as Tableau, Power BI, or matplotlib/seaborn
• Strong understanding of statistical methods and machine learning techniques
• Excellent problem-solving skills and a detail-oriented mindset
• Strong communication and presentation skills

Responsibilities

• Analyze large, complex datasets to extract actionable insights
• Develop and implement measurement strategies to track system effectiveness and performance over time
• Collaborate with cross-functional teams and product leadership to understand data needs and identify information gaps
• Visualize data and communicate findings clearly to both technical and non-technical stakeholders
• Create clear data visualizations, dashboards, and interactive tools for strategic decision-making
• Continuously monitor model performance and retrain/update models as necessary
• Contribute to data pipeline design and ensure data quality and governance
• Document processes, methodologies, and results for reproducibility

Preferred Qualifications

• Experience with cloud platforms (AWS, GCP, Azure) and tools such as Spark, Airflow, or Docker
• Familiarity with MLOps principles and deployment workflows
• Experience with HTML/CSS and web-based visualization tools
• Knowledge of customer experience (CX) frameworks and performance measurement
• Background in a specific domain such as finance, healthcare, retail, or government analytics

Benefits

• A fun, dynamic working environment with an energetic and diverse team
• Competitive compensation commensurate with experience
• Opportunities for career growth
• Full health benefits (medical, dental, vision)
• 401K matching
• Unlimited Paid Time Off (PTO)
• Short- and Long-Term Disability in addition to Life Insurance (company sponsored)
• Company sponsored parental leave
• Summer Fridays