Data Scientist Data Entry @Jobspromotor

Job Title

Data Scientist

Alaska, USA

Full Time

$20 – $30/Hour

8 Hours

• Apply advanced data exploration tools and methods to deliver insights and actionable recommendations to the business.
• Use predictive analytics to forecast future outcomes in various contexts.
• Decipher and apply data in complex studies, and clarify findings for business audiences to drive product and process improvement.
• May support or lead the development of data-driven business initiatives or IP.
• Execute statistical and quantitative analyses to inform business direction.
• Create and utilize mathematical models and predictive modeling techniques to assess situations and anticipate future results.
• Apply rigorous logical and statistical approaches to dissect large datasets, using advanced statistical techniques such as predictive models, customer profiling, organizational analysis, A/B testing, and data mining.
• Report projects including business goals, data acquisition and handling, planning approaches, final analyses, detailed arrangement of results, and statistical measurements.
• Create materials to interpret business findings.
• Resolve issues and impediments as they arise.
• Collaborate with internal and external stakeholders and managers to trade complex data related to assigned projects.
• Plan and present the understanding of findings to internal stakeholders.

• Four‑year bachelor’s degree in statistics, data science, mathematics, or finance with at least 2 years of experience in a data role OR a four‑year bachelor’s degree in a quantitative, computational, or specialized discipline with 2 years of experience in a data role.
• Knowledge of SQL.
• Experience in data science, advanced analysis, or statistics to clean data, perform analyses, interpret data, and present insights to business audiences.
• Knowledge of open‑source data science and analytics stacks such as Python, R, and others.
• Experience building and maintaining key relationships with internal (teams, colleagues, initiatives) and external (community, clients, vendors) stakeholders to ensure quality data and delivery standards.
• Experience breaking down and translating data to uncover issues, patterns, or anomalies for performance improvement and solution discovery.
• Willingness to travel up to 10% of the time for business purposes (in-state and out-of-state).

• Graduate degree in statistics, data science, mathematics, or finance.