Data Scientist

We are a high growth startup backed by one of America’s top furniture retailers. We are looking for a Data Scientist to build and enable data analytics solutions for Furniture.com. Often the work requires solving complex problems by turning vast amounts of data into business insights through advanced analytics, modeling and machine learning. You are a dynamic team player, creative thinker who has fun tackling complex problems at scale, and a strong relationship builder who thrives in a fast-paced environment.

?    Designs, develops, and implements end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation)

?    Ensures that data pipelines are scalable, repeatable, secure, provide insights into customer acquisition, and can serve multiple users within the company

?    Collects, parses, manages, analyzes, and visualizes large sets of data using multiple platforms

?    Codes, tests, and documents new or modified data systems to create robust and scalable applications for data analytics

?    Implements security and recovery tools and techniques as required

?    Ensures all automated processes preserve data by managing the alignment of data availability and integration processes

?    Develops standards and processes for integration projects and initiatives

?    Master’s or PhD Degree in Information Technology, Computer Science, or a related quantitative discipline

?    5+ years of experience in industry data science (e.g., machine learning, predictive maintenance)

?    Practical knowledge across data extraction and transformation tools

?    Nice to have: Deep understanding of furniture industry trends and customer needs

?    Nice to have: Affiliate platform or marketplace experience

?    Clear hands-on mastery in big database systems - Hadoop ecosystem, Cloud technologies (AWS, Azure, Google), in-memory database systems (HANA, Hazel cast, etc) and other database systems - traditional RDBMS (Terradata, SQL Server, Oracle), and NoSQL databases (Cassandra, MongoDB, DynamoDB)

?    Comfortable in dashboard development (Tableau, Powerbi, Qlik, etc) and in developing data analytics models (R, Python)

?    Flexible and quick learner able to adapt to a constantly changing digital environment

?    Able to organize and prioritize workload to meet deadlines

?    Brings a high-energy and passionate outlook to the job and can influence those around them

?    Proactive, strong attention to detail and capable of streamlining and improving processes and troubleshooting

The company is a high growth consumer tech start up that is addressing fundamental challenges in the

$200B US furniture space. The company is a B2B and B2C digital aggregator with a simple mission: To

connect furniture customers with the products they desire. For consumers, we make it easy to find the

right furniture by enhancing search and streamlining their end-to-end customer experience. For retail

partners, we deliver a digital platform allowing them to expand their reach with a high-intent furniture

audience. The site experience and discovery tools will differentiate us. The site design and content will

drive brand recognition and loyalty allowing us to capitalize on this market.

We are backed by a top-5 furniture retailer in the US. The business is unique in that it will

operate with the agility and innovation of a startup, yet with the robust resources and industry knowledge

set of an established brand.

The company is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws

Applicants must be authorized to work in the U.S.