<div> <div><strong>Responsibilities</strong></div> <ul> <li>Collaborate with a team of data scientists, statisticians, software developers, artists, and subject matter experts to solve problems using data science approaches, techniques, and methods.</li> <li>Collect, clean, store, organize, integrate data, and create data pipelines.</li> <li>Perform descriptive and exploratory analyses, predictive modeling, machine learning, simulations, text analytics, social network analysis, and interactive data visualization.</li> <li>Assist in expanding data science business: participate in meetings with clients (internal and external), assist in framing projects and designing solutions based on client needs and problems to be solved.</li> <li>Create internal and publicly available data products and tools.</li> <li>Communicate results through presentations and reports for clients, internal staff, scientific journals, and contributions to open source projects.</li> <li>Assist teams in proposal writing.</li> <li>Participate in professional development and scientific stature efforts.</li> </ul> </div> <div>&nbsp;</div> <div> <div> <div><strong>Qualifications</strong></div> <ul> <li>Master degree in computer science, or data science</li> <li>Zero or more years of relevant experience (relevant internships in lieu of years of experience).</li> <li>Strong interpersonal and collaboration skills, including oral and written communication and presentations as evidenced by publications or cover letter.</li> <li>Experience with Python and its data analysis ecosystem (pandas, scikit-learn, numpy)</li> <li>Experience with data ETL processes (e.g. SQL queries, reading flat files (CSV/JSON), data cleaning).</li> <li>To qualify, applicants must be legally authorized to work in the United States and should not require now, or in the future, sponsorship for employment visa status</li> </ul> </div> </div>