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Job Location: Remote
- Explore large datasets using modeling, analysis, and visualization techniques. Transform the results into insights and recommendations.
- Engage with business partners and stakeholders to understand their challenges.
- Contribute to the end-to-end development of predictive and prescriptive models for marketing, sales, finance, supply chain, and other business applications.
- Apply Frequentist and Bayesian inference methodologies to experimental and observational data.
- Currently has, or is in the process of obtaining a BA or BS program in a quantitative field such as Computer Science, Statistics, Applied Mathematics, Engineering, Information Science, etc.
- Good interpersonal, communication, and presentation skills.
- Knowledgeable in analytics, BI, statistics, data science, or a related area.
- Two years of experience with SQL, Python, pandas, and scikit-learn.
- Experience fitting and evaluating classical ML models (Logistic Regression, random forests, multi-layer Perceptron, etc.).
- Proven data science experience via an internship, work experience, competitions, etc.
- Knowledge of deep learning basics.
- Experience with Snowflake and PowerBI.
- Working knowledge of Git and GitHub.
Bose is an equal opportunity employer that is committed to inclusion and diversity. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status, or any other legally protected characteristics. For additional information, please review: (1) the EEO is the Law Poster (http://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf); and (2) its Supplements (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm). Please note, the company’s pay transparency is available at http://www.dol.gov/ofccp/pdf/EO13665_PrescribedNondiscriminationPostingLanguage_JRFQA508c.pdf. Bose is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the application or employment process, please send an e-mail to [email protected] and let us know the nature of your request and your contact information.
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