Principal Data Scientist

Job Description

Job Description

JOB SUMMARY

As a Principal (Machine Learning) Data Scientist, you will play a critical role in driving innovation and growth for our B2B auction platform.

You will lead the development and implementation of advanced machine learning algorithms to solve complex business problems, optimize the user experience, and improve auction outcomes.

You will be a thought leader in data science, collaborating closely with product, engineering, and business stakeholders to identify opportunities and translate them into actionable insights.

RESPONSIBILITIES :

Lead the development and implementation of machine learning solutions :

• Design, test, and deploy machine learning models for tasks like product recommendation, demand forecasting, churn prediction, price optimization, and anomaly detection.
• Stay up-to-date on the latest advancements in machine learning and deep learning techniques, and identify suitable algorithms for business challenges.

Build scalable infrastructure for Machine Learning :

• Collaborate with data engineers to develop and maintain data pipelines for collecting, cleaning, and transforming large datasets relevant to machine learning projects.
• Work with engineering teams to integrate machine learning models into the platform infrastructure for seamless user experience.
• Advocate for and implement best practices in data quality and governance.

Data analysis and experimentation :

• Conduct in-depth analysis of user behavior, auction data, and market trends to identify patterns and opportunities for improvement.
• Design and execute A / B tests to validate the effectiveness of machine learning models and optimize platform features.
• Develop clear and concise data visualizations and reports to communicate findings to stakeholders.

Collaboration and communication :

• Partner with product, engineering, and business stakeholders to define data-driven strategies and translate business requirements into technical solutions.
• Clearly communicate complex technical concepts to non-technical audiences, ensuring everyone understands the value of machine learning solutions.
• Mentor and guide junior data scientists within the team, fostering a collaborative and learning environment.

QUALIFICATIONS

• PhD or Masters in Computer Science, Statistics, Machine Learning or a related field (or equivalent experience).
• Minimum 5+ years of experience in a data science role, with a strong focus on machine learning.
• Proven experience in designing, developing, and deploying machine learning models in production environments.
• Expertise in working with big data frameworks (e.g., Spark, Hadoop) and data manipulation libraries (e.g., pandas, NumPy).
• Strong proficiency in programming languages like Python and R.
• Excellent communication and collaboration skills, with the ability to present technical concepts to both technical and non-technical audiences.
• Experience working in a fast-paced, results-oriented environment.
• A passion for B2B e-commerce and a strong interest in leveraging machine learning to solve real-world business problems.

EMPLOYEE BENEFITS

• Competitive compensation packages including bonus and options
• Medical, dental, and vision benefits
• Paid Time Off, telecommuting and flexible schedule options
• Support for continuing education
• Team off-sites, social events and extracurricular activities are a staple
• Snacks, drinks, and the occasional box of donuts

THE COMPANY

B-Stock is the world's largest B2B recommerce marketplace for excess or surplus merchandise. Businesses of all sizes leverage the B-Stock platform to sell and buy customer returns, overstock and other excess merchandise - ranging from top brands and retailers who want best-in-class inventory management to entrepreneurs looking to source valuable merchandise for their resale businesses.

Tens of thousands of small business owners all over the globe use B-Stock to launch and power their resale business. We take pride in empowering these innovators and entrepreneurs of commerce.

In 2020 we sold 120 million items across our platform, giving a second life to this otherwise would be "waste" merchandise.

In fact, we kept 400 million pounds of goods in use and saved millions from the landfill. It feels good to be B-Stock!

The amount of returned or unsold inventory continues to grow each year, and in 2020, it was estimated at over $1 trillion worth worldwide.

We know there is tremendous value in and demand for this inventory - no matter the category, condition, or location. The B-Stock platform gives buyers a simple way to buy brand-name merchandise directly from top retailers and manufacturers.

At the same time, we offer companies an automated, trusted replacement for traditional liquidation while boosting operational efficiency, recovery rates, and cycle time.

Led by eBay veterans and backed by top investors including Spectrum Equity, True Ventures, and Susquehanna Growth Equity, B-Stock shows no signs of slowing down.

Our core values have shaped the company we are today and will continue to drive our success for many years to come.

For more information, visit bstock.com / careers /

OUR VALUES

Make Each Dollar Count

Whether it's the recovery amount or a buyer's budget, money matters to all of our clients. And because each dollar matters to them, it matters to us.

Take Our Work Seriously, Not Ourselves

Everything at B-Stock continues to grow - everything but our egos, that is. We're not afraid to let loose and laugh (often at ourselves).

Do The Hard Things Today That Will Pay Off Tomorrow

We're willing to sacrifice and endure, fail and adapt to reach our long-term goals.

Use Trust As The Best Measure Of Success

The trust we earn along the way is more valuable than money. Without trust from both our buyers and sellers, our business won't succeed.

Find Strength In Numbers

Use our passion for data to provide value to our customers, improve ourselves, and develop new ways to delight our buyers and sellers.

No applicant will face discrimination / harassment based on race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status.

Above and beyond discrimination / harassment based on "protected categories," B-Stock also strives to prevent other, subtler forms of inappropriate behavior (e.

g., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at B-Stock.

Work Authorization required.