Data Scientist (Mining) at Krypton Mining

   Improve, execute, and effectively communicate significant analyses that identify meaningful trends and opportunities across the business

•         Participate in regular meetings with management, assessing and addressing issues to identify and implement improvements toward efficient operations
•         Provide strong and timely financial and business analytic decision support to business partners and various organizational stakeholders
•         Develop actionable roadmaps for improving workflows and processes, and establish and organize KPIs in line with global directives
•         Comply with all federal, state, and local legislation

Daily and Monthly Responsibilities

•         Interpret data, analyze results using analytics, research methodologies, and statistical techniques
•         Develop and implement data analyses, leverage data collection systems and other strategies that optimize statistical efficiency and quality
•         Act as a liaison between staff and management, analyzing and interpreting data involving company procedures, policies, and workflows
•         Prepare, analyze, and summarize various weekly, monthly, and periodic operational results for use by various key stakeholders, creating reports, specifications, instructions, and flowcharts
•         Conduct full lifecycle of analytics projects, including pulling, manipulating, and exporting data from project requirements documentation to design and execution
•         Evaluate key performance indicators, provide ongoing reports, and recommend business plan updates

Skills and Qualifications

•         Bachelor’s degree, preferably in computer science, mathematics, business management, or economics
•         Advanced analytical skills with experience collecting, organizing, analyzing, and disseminating abundant information with accuracy
•         The ability to write reports
•         Exceptional verbal, written, and visual communication skills

Preferred Qualifications

•         Deep experience with managing budgets
•         The ability to present findings in a polished way
•         Proficiency with statistics and dataset analytics (using SPSS, SAS, Excel)
•         Entrepreneurial mindset, with an innovative approach to business planning