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Senior Data Scientist
BambooHR
Posted on 8/25/2024
Description

Please Note: This is a remote position available in the state listed on this job.

Essential Job Duties

As a Senior Data Scientist, you’ll apply current machine learning and AI algorithms to derive data insights and deliver intelligent services. This involves gaining a deeper understanding of relevant customer needs and business domains, exploring and improving available data, selecting appropriate approaches, and constantly improving models.

  • Train and tune machine learning models
  • Explore data and conduct feature engineering
  • Apply natural language processing to understand text and aid in conversational interfaces
  • Build optimal algorithms with LLMs and retrieval augmented generation
  • Collaborate with data engineers, AI software engineers, data analysts, and stakeholders
  • Evaluate emerging techniques by understanding academic papers and new technical tools, and by conducting labs, prototypes, and explorations
  • Monitor and optimize production models

What You Need to Get the Job Done

  • 5+ years of professional experience as a data scientist, typically coding in Python with relevant libraries
  • Demonstrated ability to select and implement ML algorithms, shape data into useful input features, and choose and optimize appropriate model performance metrics
  • Proficiency with NLP, text processing, LLMs / generative models, and conversational UX
  • Mathematical thinking foundation and orientation
  • Skill working with data sources of various types using tools such as SQL, pandas, Spark
  • Expertise designing and building deep learning architectures and models
  • Ability to work well independently and with colleagues
  • Skill collaborating using cloud-based tooling, git, notebook systems, and ML workflows

A strong contender will also demonstrate abilities to:

  • Deeply understand each problem, available data, and potential methods
  • Monitor, learn, and apply emerging techniques
  • Write high quality deployable code
  • Wisely select approaches and evaluation methods
  • Have productive interactions that lift the team and stakeholders

Beyond the technical skills, we’re looking for individuals who are:

  • Clear communicators (verbal and written)
  • Analytical and perceptive of patterns
  • Strong in understanding underlying math and algorithms
  • Creative in finding relevant and novel approaches
  • Productive in a dynamic setting

If you love to learn, you’ll be in good company. You’ll likely have an advanced degree in a quantitative field, or a related Bachelor’s and additional experience working with data.

What You'll Love About Us

  • Great Company Culture. We’ve been recognized by multiple organizations like Inc, Salt Lake Tribune, Glassdoor, & Comparably for our great workplace culture
  • Make an Impact. We care about your individuality by giving you freedom to grow and create within the company, regardless of your position
  • Rest and Relaxation. 4 weeks paid time off, 11 paid holidays, and we pay you to go on vacation (ask us about this)!
  • Health Benefits. Medical with HSA and FSA options, dental, and vision
  • Prepare for the Future. 401(k) with a generous company match, access to a personal financial planner, and both legal and life insurance
  • Financial Peace University. We pay for a one year subscription and you walk away with financial savvy and a bonus
  • Give back. Get paid to give your time to the community: ask us about this!
  • Educational Benefits. Whether you are a previous student, or currently enrolled in higher education, we can help cover some of those expenses
  • Amazing Office Amenities. We’ve got incredible benefits at our Draper headquarters including a full size gym, pickleball courts, a great office cafe, and free fountain drinks! Ask us more about our office!
  • In-Person Onboarding! All new hires get to experience our in-person onboarding class, Bamboo Beginnings, at our Draper, UT headquarters! Ask us more about Bamboo Beginnings!
  • Flexible Work Models. In-office, work-from-home, or hybrid, depending on position and location

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