Why Vacasa
We started with just one home and an idea: to bring homeowners and renters together with smart technology and caring local teams. Today, we’re the largest full-service vacation rental company in North America thanks to the people who give us their best every day. You’ll fit right in here if you’re curious, entrepreneurial, and thrive in a rapid-growth environment.
What we’re looking for
Vacasa is looking for a Sr. Data Scientist, you will be a key member of our team driving the Data Science direction of a number of key initiatives including dynamic pricing, recommendations and Generative AI. You will be responsible for collecting and analyzing large datasets to train models that drive business decisions. This role requires a combination of statistical analysis, data mining, and machine learning techniques to optimize pricing strategies, and many other AI/ML applications. As a senior member of the team, you will lead initiatives from start to finish: from working with stakeholders on requirements to the productionization of models that address those requirements.
This position in 100% remote. Ability to work from home and resides in one of the followings states: AK, AL, AZ, CA, CO, DE, FL, GA, HI, ID, IL, IN, LA, MA, MD, ME, MI, MN, MO, MT, NC, NH, NJ, NM, NV, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VA, VT, WA, WI, or WY
What you'll do
- Collect, clean, and feature engineer large datasets from various sources.
- Analyze and interpret data to identify trends and insights that can inform business decisions.
- Train predictive models that optimize decisions across all departments.
- Continuously monitor and evaluate the performance of models in production.
- Stay up-to-date with the latest data science techniques and tools.
- Collaborate with cross-functional teams to deploy models according to product requirements.
- Interact with stakeholders to solicit requirements for projects
- Communicate findings, and deliver results to stakeholders on time and within budget.
- Determine when models are ready for production, including validation and testing.
- Prototype your models and get them ready for productionization with minimal lift from Engineers to fully productionize
- Lead projects, and mentor junior team members.
- Other duties, as assigned.
Skills you'll need
- 8+ years of experience in a data-related field (Analytics, BI, Software Engineering) with at least three years of experience as a data scientist
- Strong analytical and problem-solving skills with experience in machine learning algorithms such as logistic regression, decision trees, and neural networks.
- Experience using Jupyter Notebooks, pandas, and ML libraries such as scikit-learn.
- Expert in Python 3 and SQL.
- Superlative communication skills
- Coding, architecture and deployment experience is strongly preferred
- Ability to work independently as well as collaboratively in a team environment.
- Experience with cloud infrastructure such as GCP, Azure or AWS. Direct experience with AWS a strong plus.
- Strong experience working with large datasets and tools such as EMR or Spark.
- Familiarity with Docker or other container systems.
Compensation:
- $125000 - $190000 / year. Actual pay will vary based on a candidate's skill, experience, education and/or location.
- More benefits and company perks information below
What You’ll Need
- Reliable internet connection, must meet a minimum of 50 mbps
- Indoor and telework environment
- Structure of the position: fixed schedule
- Availability for standard workweek (Monday - Friday)
What you’ll get
- Health/dental/vision insurance - employee & family coverage options
- Employer Sponsored & Voluntary Supplemental Benefits
- 401K retirement savings plan with immediate 100% company match on the first 6% you contribute
- Health & Dependent Care Flexible Spending Accounts
- Flexible vacation time
- Paid sick days and holidays
- Paid parental leave after one year of tenure
- Employee Assistance Program
- Career advancement opportunities
- Employee discounts
- All the equipment you’ll need to be successful
- Great colleagues and culture
- Please visit our careers page to review our full benefits offerings
Vacasa is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We do not discriminate against applicants based upon race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, or other classes protected by applicable law. Veterans are encouraged.
Vacasa is committed to maintaining a safe and productive work environment. Possession, use, or being under the influence of alcohol or illegal drugs in the workplace is prohibited.
An offer of employment for this role will be contingent upon the successful completion of a background check.
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