Senior Data Scientist (Labs)
2 days ago
🏢 In-office - Cambridge
Description
Design and implement solutions to modeling problems improving user experience and key metrics. • Conduct experiments and rapidly prototype ideas using available data and resources. • Implement designs in a stable, maintainable, scalable production-ready form. • Extract, process, leverage large data sets to drive successful projects. • Engage in group problem-solving and collaborative team efforts. • Communicate and share results clearly and concisely.
Requirements
Comfortable with math, statistics, systems design and coding necessary for industrial machine learning challenges. A PhD in an aligned quantitative field (computer science, statistics, mathematics, operations research, engineering, etc.) is preferred, but not strictly required. • Exposure to a minimum introductory level treatment of the core concepts and methods in machine/deep learning, and experience with their application to real-world data science problems. • Proficient with current Python machine learning development ecosystems: PyTorch or TensorFlow, pandas/polars, scikit-learn, git, etc. • Bonus Qualifications: • Exposure to software engineering, whether individual or team-based. • Direct experience applying ML/AI in a business environment, and experience distilling high-level business challenges down to concrete modeling problems. • Hands-on experience with data engineering principles and methods: ETLs, relational databases, large-scale data frameworks like (Py)Spark.
Benefits
4 weeks paid vacation • Ability to work from almost anywhere • Day off on your birthday • Generous retirement plans • Awesome health, dental and vision insurance plans • Flexible Spending Accounts • Headspace Subscription • No Meeting Fridays • Drinks, coffee, snacks, games etc. • Weekly catered lunches • Flexible hours • Regular team events/excursions • Universal Paid Parental leave
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