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)