Job Title: Data Scientist V Location: Remote Duration: 4+ Months (with potential to extend up to 2 years) Job Description: • We are seeking a highly skilled Data Scientist with 10+ years of industry experience to join our team. • The successful candidate will have a strong background in data analysis, statistical modeling, and data visualization, as well as excellent communication skills. • Proven Business Impact on resumes: A track record of leveraging data to drive business outcomes, with examples of analysis projects that have yielded significant benefits, such as cost savings, revenue growth, or improved customer engagement. Must-Have Skills: • Programming Efficiency: ability to develop solutions to complex data problems using programming and scripting languages (SQL, Python, etc). • Setting Goals and Success Metrics: Ability to set clear goals, analyze data, and understand product requirements to inform business decisions and drive product success. • Data Analysis and Storytelling: Ability to interpret and formulate deep-level insights based on quantitative and qualitative data, communicate insights in a clear and concise manner. Nice-to-Have Skills: • Data Visualization Expertise: Familiarity with data visualization tools such as Tableau or Power BI, to effectively communicate insights and findings to stakeholders. • Machine Learning Proficiency: Experience with machine learning libraries and frameworks like scikit-learn or TensorFlow, to build predictive models and solve complex problems. • Analytics/Metric Framework: Experience designing consistent and scalable analytics frameworks for open-ended questions. • ETL and Data Modeling: Design and implement ETL process, maintain and scale large datasets and models. • Research and Experiment: Experience identifying and designing scientific testing and research to answer strategic business questions. Day-to-Day Responsibilities: • Analyzing data to identify trends and patterns, and developing insights to inform business decisions • Collaborating with stakeholders to define goals and success metrics, and tracking progress towards these objectives • Creating visualizations and reports to communicate complex data insights to both technical and non-technical audiences • Developing and refining predictive models to forecast future outcomes and drive business growth • Conducting research and experimentation to answer key business questions and test hypotheses Requirements: • 10+ years of industry experience solving analytical problems using quantitative approaches, including defining metrics and goals, monitoring key metrics, understanding root causes of changes in metrics, and exploratory analysis to discover new opportunities. • 10+ years of industry experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R). • Strong background in data analysis, statistical modeling, and data visualization. • Excellent communication skills, with the ability to present complex data insights to both technical and non-technical audiences. Degrees/Certifications: • Required: Bachelor's degree in Statistics, Data Science, or a related field. • Preferred: Master's degree in Statistics, Data Science, or a related field. Minimum Years of Experience: 10 + Applicant Notices & Disclaimers • For information on benefits, equal opportunity employment, and location-specific applicant notices, click here At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position's starting pay is: $80.00/hr.