Data Scientist

Job Title: Data Scientist Location: Remote Job Type: 6+ months Contract Job Description: The Data Scientist plays a critical role in delivering actionable insights by applying advanced data science techniques, analytical methods, and data interpretation. This role supports organizational decision-making to enhance operational efficiency, improve outcomes, and drive data-informed strategies. Key Responsibilities: • Provide mentorship and guidance to junior data scientists and team members • Collaborate with stakeholders to understand business challenges and translate them into data-driven solutions • Design, develop, and support internal web applications and interactive tools for data products • Analyze and assess data quality, structure, and integrity from multiple source systems • Work closely with data engineers and BI teams to optimize data architecture, ETL processes, and dashboards • Develop rapid prototypes and minimum viable products (MVPs) to meet user needs • Apply statistical analysis, data mining, and machine learning techniques to extract insights • Identify opportunities to improve processes and implement best practices • Manage and analyze large datasets to support operational and strategic decisions • Maintain and contribute to code repositories (e.g., version control using GitHub) • Educate end users on interpreting data and analytical outputs • Test, evaluate, and maintain data solutions and software systems • Document technical specifications and ensure adherence to standards • Lead or support workshops and training sessions for users Required Qualifications: • Bachelor’s degree in Analytics, Statistics, Computer Science, Informatics, Mathematics, or related field + 2+ years of experience • Master’s degree in a related field • OR 4+ years of relevant data science experience . Required Skills & Experience: • Proficiency in programming languages such as Python, R, and SQL • Experience with data manipulation (cleaning, transformation, standardization) • Strong knowledge of statistical methods (regression, distributions, hypothesis testing) • Experience with machine learning techniques (clustering, decision trees, neural networks) • Understanding of relational and dimensional database systems • Experience building user-facing applications using frameworks like Shiny, Dash, Flask, or Streamlit (2+ years) • Ability to connect applications to backend data pipelines and deploy analytic tools • Strong analytical, problem-solving, and strategic thinking skills • Excellent communication and presentation abilities • Experience creating and delivering data visualizations for diverse audiences • Ability to work in a fast-paced, collaborative environment Qualifications: • Experience leading workshops or training sessions • Familiarity with: • Geospatial analysis and geocoding • Network analysis tools (e.g., Neo4j) • Containerization and orchestration (Docker, Kubernetes)