Data Scientist - Madison, United States - Rentable

Rentable Madison, United States

3 weeks ago

Description

Job Description

We're Changing the Rentals Industry

We're a profitable, growth-stage company building industry-leading martech and data SaaS products for the rentals industry. While originally known for building and operating one of the U.S.'s largest rental marketplaces - Rentable, we recently launched a martech product and a competitive intelligence software - ApartmentIQ, both with high growth rates.

We're a 100% remote team of 90 spread across the U.S. from coast to coast. We operate on a strict no a**holes policy, and are proud to have built a community of highly performant people that take our work seriously, but not ourselves. And, we're looking for exceptional people to help further accelerate our growth.

While we've raised $30MM+ to date from some of the world's best investors, we're profitable with a strong balance sheet and an indefinite runway. We pride ourselves on achieving rapid growth without having to incinerate capital.

If you like the idea of joining an industry-changing company made up of people who genuinely like each other, Rentable could be a great fit for you.

The Role

We are actively seeking a skilled individual to join our product team as a Data Scientist for ApartmentIQ. This role is tailored for those passionate about data and who possess strong analytical skills to extract valuable insights from complex datasets, and love finding the fastest path to get there. You know that data doesn't tell the full story, so the Data Scientist will collaborate with cross-functional teams across product, engineering, and customer experience to drive data-driven decision-making and develop product capabilities used directly by end users.

In this dynamic and fast-paced environment, you will need to be a strategic thinker with excellent organizational skills, follow-up abilities, and effective verbal and written communication. Your ability to handle multiple challenges in parallel, synthesize and show your work, and make recommendations amid uncertainty, will be key to your success in this role.

This role requires a strategic thinker who is adept at synthesizing information and making recommendations in uncertain environments. A strong voice for data-driven decision-making, the ability to work autonomously, and natural curiosity are essential

Responsibilities:

Apply advanced statistical techniques and machine learning algorithms to analyze large datasets, identify patterns, and predict future trends.
Develop predictive models to forecast key performance measures and customer behavior, iterating based on usage data and feedback.
Create data visualizations, dashboards, and reports to communicate insights to both technical and non-technical stakeholders.
Collaborate with product and engineering teams to integrate your solutions into the product, assess model performance (accuracy, precision, recall, AUC-ROC), and refine algorithms over time.
Lead discussions and presentations on data-driven insights with stakeholders, showing your work and facilitating decision-making across key stakeholders.

Qualifications

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field.
Minimum of 4 years of experience as a Data Scientist, demonstrating a strong ability to leverage data in business settings.
Proficient in Python or R, and familiar with libraries for data manipulation and analysis.
Solid understanding of statistical concepts and machine learning algorithms (e.g., regression, classification, clustering).
Skilled in data visualization tools (e.g., Matplotlib, Seaborn, Tableau) and big data technologies (e.g., Hadoop, Spark).
Experience with SQL, database technologies, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP techniques.
Relevant certifications in machine learning, data science, or cloud computing are a plus.
Excellent organizational skills, effective communication, and the ability to manage multiple projects simultaneously.
High degree of attention to detail, and motivated to take initiative in analyzing, experimenting, and learning.

Why Rentable:

100% remote workplace
Competitive Compensation Package
Stock Options
Open Vacation Policy
Medical, Dental, and Vision Insurance
100% paid Short-Term Disability, Long-Term Disability, and Life Insurance Program
401k Program
No A**hole policy

If you need assistance and/or a reasonable accommodation in the application or recruiting process, please contact your recruiter.

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