Data Scientist II

a) Job Overview & Introduction: Earnest is a leading financial services company seeking a Data Scientist II to drive business growth through data-driven insights. This role is crucial in informing business decisions and optimizing operations. b) Key Responsibilities & Day-to-Day Tasks: The Data Scientist II will analyze large datasets, develop predictive models, and create data visualizations to communicate insights to stakeholders. Daily tasks include data wrangling, model development, and collaboration with cross-functional teams. Weekly tasks involve presenting findings to senior leadership, while monthly tasks include developing and implementing new models. Key responsibilities include: developing and maintaining databases, creating data visualizations, collaborating with stakeholders, and staying up-to-date with industry trends. c) Required Qualifications & Experience: A Bachelor's degree in Computer Science, Statistics, or a related field is required. 3+ years of experience in data science, machine learning, or a related field is necessary. Proficiency in programming languages such as Python, R, or SQL is required. d) Preferred Qualifications & Nice-to-Haves: Experience with cloud-based technologies, such as AWS or Azure, is a plus. Familiarity with data visualization tools, such as Tableau or Power BI, is also desirable. e) Skills & Competencies: The ideal candidate will have technical skills in machine learning, data modeling, and data visualization. Soft skills, such as communication and teamwork, are also essential. f) Company Information & Culture: Earnest is a dynamic and innovative company that values collaboration and creativity. Our team is passionate about using data to drive business decisions and improve customer experiences. g) Benefits, Compensation & Perks: Earnest offers a competitive salary range, comprehensive health benefits, and a generous retirement plan. Additional perks include flexible PTO, remote work options, and professional development opportunities. h) Growth Opportunities & Next Steps: Career advancement paths include leadership roles or specialized positions in data science. Professional development opportunities include training programs and conference sponsorships. To apply, please submit your resume and cover letter through LinkedIn.