• Perform independent challenges of machine learning models used for credit underwriting, credit risk, and/or fraud detection through thorough validation and ongoing monitoring • Identify model weaknesses and opportunities for improvement • Collaborate with model owners to remediate model validation findings • Partner cross-functionally to implement and maintain the company’s MRM framework • Partner with Internal Audit, Internal Controls, and Compliance to ensure timely resolution of audit and regulatory requests

Role Description As a Data Scientist at Jampp, you will help us identify the questions we should be asking and answer them. You will be responsible for tackling challenging problems at scale across many technical disciplines. - Perform ongoing analysis of success metrics to uncover places and ways where our algorithms can be modified to achieve better results. - Refine models that support real-time events and internal stakeholder decisions across the business. - Design, code, and deploy modifications to our algorithms and supporting production code (mostly in Python). - Collaborate daily within a multidisciplinary squad (Devs, Data Engineers, PMs) to ensure data science solutions are integrated into the product strategy. - Communicate and collaborate with the other data science teams. Qualifications - 2-3 years of experience in data science type roles. - Relevant experience in Applied Mathematics, Statistics, Computer Science, Econometrics, or other quantitative field. - Demonstrate proficiency with our current Data Science Stack: Python and Scientific/ML Python stack (numpy, scipy, pandas, mpl, seaborn). - Passion - you have used a data-driven approach to solve a problem you care about. - Highly detail-oriented and exceptional organizational and follow-through skills is a must. - Comfortable conducting daily professional communications in English (written and verbal). Requirements - You may have experience with highly imbalanced datasets or pricing/optimization problems (e.g., Fintech fraud, recommendation engines, or dynamic pricing). - You have working experience implementing complex statistical analyses. - You take pride in working on projects to successful completion, involving a wide variety of technologies, systems, and modeling techniques. - You like working in a self-sufficient, autonomous manner, striving through ambiguity. - You have a sense of urgency and ownership over the product. - Smarts, humility, and equal willingness to learn and teach. Benefits - Learn a ton about the hottest area of growth in Internet advertising - Mobile! - Competitive salary. - Extended Maternity/Paternity leaves. - Extended holidays every year. - A great level of responsibility from day one and the chance to develop your potential without limitations. - An entrepreneurial environment. - A dynamic remote-first work culture with the possibility of accessing coworking spaces as needed. - A structured remote onboarding process and continuous training with a supportive team. We win together! - Work with a talented global team that you can constantly learn from! - Cool swag and team activities (even when working from home!).

• Be part of a high-impact data science team building intelligent logistics systems that optimize delivery operations at a global scale. • Design, develop, and deploy machine learning models and optimization solutions across the full lifecycle — from research and experimentation to production — focusing on planning, forecasting, and operational decision-making. • Apply advanced techniques such as statistical modeling, optimization, geospatial analytics, and forecasting to improve efficiency, reliability, and cost of delivery operations. • Translate complex real-world logistics constraints into scalable mathematical models and data-driven systems. • Contribute to experimentation and performance evaluation through offline analysis and online testing, ensuring solutions are robust, scalable, and aligned with operational goals. • Write production-grade code and build reusable data and modeling pipelines that operate reliably at scale. • Collaborate closely with engineers, product managers, operations teams, and business stakeholders to deliver impactful solutions. • Drive continuous improvement by exploring new methodologies in machine learning, optimization, and applied statistics, raising the technical bar across the organization.

Role Description The Sterling Federal Presales Leader will lead a team of highly effective sales engineers to support and enable Sterling’s Federal sales across all DoD, IC, and Global segments. This is a highly visible position at Sterling that will require cross-functional leadership to execute technical sales strategies within the Federal government. This leader will attract, recruit, retain, and develop engineers of various capabilities and align them to federal segments at Sterling and be a point of escalation for all teams. The Federal Presales leader will develop technical sales strategies of deeply complex and large organizations and articulate the value of Sterling to customers and industry peers. We are looking for a high caliber technical thought leader in the areas of server, storage, cloud, cyber, AI/ML, compute & infrastructure that can accelerate our growth by inspiring and enabling individual contributors to perform at high levels. Qualifications - Must have Federal (Civilian or DoD) experience. - Strong aptitude and understanding of a wide breadth of information technology, products, tools, services, and solutions. - Deep expert level experience with infrastructure solutions provided by Dell, Cisco, HPE, VMware, Microsoft, Red Hat, and more. - Understanding of the tactical and strategic elements of Solutions Consulting as a technical VAR or vendor. Requirements - Developing and executing department strategies that win. - Develop strategies for your team, build plans, execute, measure, and grow. - Work with internal resources to develop programs for execution of your strategy. - Align strategies to corporate level strategies. - Properly align engineers based on skillset and demand from various sales segments. - Ensure technical strategies within the company make sense and will be profitable. - Develop and maintain relationships with key customers and vendor stakeholders. - Work with other cross-functional departments to push initiatives and be an advocate for our customers. - Participate in account planning and QBRs with sales and sales leadership. - Balance customer advocacy and need with what’s best for Sterling as a business. - Plan staffing levels to meet Sterling’s strategic objectives. - Work with HR staff to recruit, interview, select, hire, and employ an appropriate number of employees. - Lead employees using a performance management and development process. - Clearly communicate job expectations; plan, monitor, and appraise job results against these expectations. - Provide effective performance feedback through employee recognition, rewards, coaching, counseling, and disciplinary action. - Develop, coordinate, and enforce systems, policies, procedures, and productivity standards. - Coach, mentor and develop team members; provide career development planning and opportunities. - Successfully onboard new employees and train them to be fully productive team members. - Consciously create a workplace culture that is consistent with Sterling’s overall mission and core values. - Maintain transparent communication within and between teams. - Proactively solicit and listen to employee feedback and convey this to other leaders or individuals as appropriate. - Resolve conflicts between individuals and teams. Benefits - Opportunity to work in a highly visible position. - Supportive workplace culture that fosters teamwork and unity. - Career development planning and opportunities. - Performance recognition and rewards. Core Technical Skillset Requirements - Virtualization: strong understanding of virtualization technologies, including hypervisors such as VMware, Hyper-V, KVM, and Citrix. - DR/Backup: strong understanding of backup and disaster recovery strategies from vendors such as Veeam, Zerto, Dell, Commvault, Rubrik, and Cohesity. - Storage: knowledge of storage architecture, including storage area networks (SANs), network-attached storage (NAS), and software-defined storage. - Network Architecture: in-depth knowledge of network architecture, including software-defined networking (SDN) and network virtualization. - Application & Automation: experience with automation tools such as Ansible, Puppet, and Chef. - Security: strong understanding of security principles, including authentication, authorization, and encryption. - Cloud: familiarity with cloud computing technologies, including public, private, and hybrid clouds. - Cost Optimization: understanding of cost optimization techniques. - DevOps: familiarity with DevOps practices and tools. - Services: MSP and Deployment experience.