Job Title: Data Scientist Location: Remote, USA Clearance: Public Trust Type: Full-time, W2 About VivSoft: VivSoft is a mission-driven technology company specializing in Cloud, DevSecOps, Artificial Intelligence, and Digital Experience. We are a diverse team of innovators focused on creating open, scalable, and automated solutions that drive digital transformation in the federal space. Our work culture fosters collaboration, creativity, and continuous learning. Job Summary: We are seeking a Senior Data Scientist / ML Engineer to support the development and deployment of advanced machine learning solutions in a cloud-based data environment. This role will focus on building scalable AI/ML models, developing reproducible data pipelines, and ensuring responsible AI practices. The ideal candidate will bring strong experience in model development, feature engineering, and cloud-based analytics platforms. Key Responsibilities: - Design, build, and deploy machine learning models to support mission analytics and decision support. - Develop and maintain reproducible ML pipelines for training, testing, and deployment. - Perform feature engineering, algorithm optimization, and model evaluation. - Work with structured and unstructured datasets to support predictive analytics. - Implement scalable data processing and ML workflows within cloud-based environments. - Ensure models and datasets comply with FAIR principles and responsible AI practices. - Support data governance, bias detection, and model transparency initiatives. - Collaborate with engineers, analysts, and stakeholders to deliver data-driven capabilities. Qualifications: - Bachelor’s degree or higher in Data Science, Computer Science, Statistics, or a related field. - 5+ years of experience developing and deploying AI/ML models. - Strong experience with supervised learning, feature engineering, and algorithm optimization. - Proficiency in Python and SQL. - Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. - Experience working with Lakehouse architectures and modern data platforms. - Ability to design reproducible ML pipelines and workflows. - Strong understanding of data governance, bias detection, and responsible AI practices. Preferred Qualifications: - Experience working in Azure cloud environments. - Experience supporting federal or regulated data environments. - Experience with large-scale data processing platforms and distributed ML workflows. Benefits - Comprehensive Medical, Dental, and Vision Plans (Healthcare benefits are 100% employer-paid for employees only) - Life Insurance - Paid Time Off (Flexible/Combined PTO, Bereavement Leave, 11 Company Paid Holidays) - 401K Retirement Plan with employer match - Professional Development Training Reimbursement - Flexible/remote work schedules.

THE ROLE B-Stock is seeking a strategic and hands-on Director of Data to lead our Analytics, Data Engineering, and Data Science functions. This leader will unify our data organization into a high-performing Center of Excellence and play a key role in enabling AI-driven product innovation across bstock.com. This is a highly visible leadership role that partners closely with Engineering, Product, Marketing, and Executive Leadership to ensure data drives measurable business impact. WHAT YOU WILL DO? Lead and Scale the Data Organization - Oversee Analytics, Data Engineering, and Data Science teams. - Build and execute a forward-looking Data & AI strategy aligned to company goals. - Hire and grow high-performing talent, future AI/LLM specialists. - Establish a culture of technical excellence, accountability, and measurable business impact. Drive Business & Product Analytics - Own business intelligence and analytics platforms including Tableau, GA4, and Amplitude. - Standardize company-wide metrics and ensure trusted, actionable reporting. - Enable scalable self-serve analytics and experimentation frameworks. - Partner with Marketing and Product teams on attribution, growth analytics, and product insights. Build Scalable Data Infrastructure (GCP-Based) - Lead the architecture, optimization, and scalability of data pipelines and warehouse infrastructure within Google Cloud Platform (GCP). - Leverage GCP data services (e.g., BigQuery, Dataflow, Pub/Sub, Cloud Storage, Composer, Dataproc) to build reliable, performant systems. - Ensure strong data quality, governance, security, and cost optimization practices. - Define and manage SLAs for production data systems. - Improve observability and monitoring across the data stack. Advance Data Science, ML & AI Capabilities - Lead the development and productionization of ML models that improve marketplace performance. - Leverage GCP AI/ML services (e.g., Gemini, AutoML, model deployment and monitoring tools) to accelerate experimentation and advance analytical capabilities. - Establish best practices for experimentation, model lifecycle management, and MLOps. WHAT SUCCESS LOOKS LIKE? - A unified and high-performing Data organization. - Trusted, standardized metrics across the company. - Scalable, reliable GCP-based data infrastructure supporting business growth. - AI/ML models successfully drive into the data driven product features. - Clear data-driven insights influencing executive decision-making. WHAT YOU BRING? - 10+ years of experience in Analytics, Data Engineering, or Data Science. - 5+ years leading multi-functional data teams. - Strong experience owning both analytics and data infrastructure in a SaaS environment. - Deep experience with Google Cloud Platform (GCP), including: - BigQuery and modern cloud data warehousing - Data pipeline and orchestration tools (e.g., Dataflow, Pub/Sub, Composer) - Cloud-based ML platforms (e.g., Vertex AI)\ - Infrastructure, cost management, and performance optimization in GCP - Experience production-izing ML models in real-world applications. - Strong familiarity with BI tools (Tableau, Power BI or similar) and product analytics tools (Amplitude, GA4 or similar). - Experience working cross-functionally with Product and Engineering leaders. NICE TO HAVE - Marketplace or two-sided platform experience. - Experience scaling data organizations in high-growth SaaS companies. WHY JOIN B-STOCK? You’ll have the opportunity to shape how data and AI power one of the world’s largest B2B marketplace platforms. This role offers high impact, executive visibility, and the ability to build and scale a modern data organization at a pivotal growth stage. The pay rate for this role will range between $250,000 to $275,000, per annum. We consider many factors when determining salary offers, such as the applicant’s work experience, education and training, skills, market data, and internal equity. EMPLOYEE BENEFITS - Competitive compensation packages including bonus and options - Medical, dental, and vision benefits - Matching 401(K) - Paid time off - Telecommuting and remote-work options - Support for continuing education - Team off-sites, social events, annual company events, and frequent extracurricular activities - Unlimited snacks and drinks THE COMPANY B-Stock is the world's largest B2B re-commerce platform, connecting sellers and buyers of returned, trade-in, and overstock inventory. Our customers range from today’s top brands and retailers that want best-in-class inventory resale management to tens of thousands of entrepreneurs looking to purchase valuable merchandise for their resale businesses. While the amount of returned and overstock inventory continues to grow, there is also growing pressure on retailers and consumers to adopt a more circular economy and keep products in use as long as possible. Accordingly, the need for re-commerce solutions - to find products a second life - has never been greater! At B-Stock we’re proud to play a large part in powering resale, reuse, and the circular economy through our platform: annually we sell over 130 million items across all categories and conditions, equating to 400 million pounds of inventory. We believe there is tremendous value in and demand for this inventory - no matter the category, condition, or location. With hundreds of thousands transactions completed annually, B-Stock gives buyers a simple and direct way to buy valuable products directly from retailers and offers sellers a technology-driven replacement for traditional resale methods, 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.

• Assist data scientists in collecting, analyzing, and interpreting data sets • Design and implement advanced ML pipelines and Gen‑AI solutions • Coordinate with different functional teams to implement models and monitor outcomes • Build dashboards using tools like Power BI • Conduct basic data analysis

• Lead the development, validation, productionization, and iteration of machine learning models that support city and vehicle tech initiatives, including feature engineering, model selection, performance tuning, and integration into product and enforcement systems • Define and establish model and product performance metrics, building clear evaluation frameworks to assess live performance and guide data-driven decision-making • Own and contribute to the development of analytical data pipelines and instrumentation required to support modeling, experimentation, and reliable reporting • Design, lead, and support experimentation efforts, including product initiatives and pilot programs, to measure impact, validate performance, and deliver insights that inform broader product and business strategy • Manage complex, cross-functional initiatives from scoping through executive communication • Make business recommendations using effective presentation skills, conveying findings at multiple levels including executive leadership, managers, and peers