Job Closed
This listing is no longer active.
Cincinnatus is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for full-time and long-term contingent roles. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve full-time or fixed-term commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus. Equal Employment Opportunity Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.
Data Scientist - ML Specialist
Location
Worldwide
Posted
3 days ago
Salary
$60 - $100 / hour
Seniority
Mid Level
Job Description
Data Scientist - ML Specialist
Mercor
Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Exceptional Data Scientists Type: Contract Compensation: $60–$100/hour Location: Remote Commitment: 20–40 hours/week Role Responsibilities - Design experiments and gather data for machine learning applications. - Preprocess and analyze large datasets to build predictive models. - Evaluate and improve AI models using TensorFlow or PyTorch. - Collaborate with engineering teams to deploy production-ready solutions. - Write, review, and validate prompt-based questions for AI system training. - Work independently and asynchronously to meet deadlines and improve model performance. Qualifications - 3+ years of professional experience in data science or applied analytics. - Highly skilled in Python and Jupyter notebooks. - Experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. - Bachelor's degree in data science, statistics, computer science, or related field in the U.S., Canada, New Zealand, UK, or Australia. - Strong background in exploratory data analysis, statistical inference, machine learning workflows, model evaluation, feature engineering, data preprocessing, data wrangling, A/B testing, experimentation, or causal inference. - Excellent verbal and written communication skills. - Strong attention to details. Requirements - Start Date: Early September; applications reviewed on a rolling basis. Application Process - Submit your resume or project portfolio to get started. - Complete a brief form outlining your technical background and agent usage experience. - Applications are reviewed continuously, and selected professionals will be contacted with next steps. Resources & Support - For details about the interview process and platform information, please check: Interview Process . - For any help or support, reach out to: support@mercor.com .
Related Guides
Related Categories
Related Job Pages
More Solutions Engineer Jobs
• Serve as a recognised expert in security architecture, with a particular focus on Security Service Edge (SSE) and cloud-delivered security frameworks. • Design and deliver compelling, hands-on proof-of-concept demos and technical use cases that showcase the capabilities of our platform across SSE, SASE, Web Proxy, ZTNA, CASB, and DLP scenarios. • Act as the primary technical feedback loop between the field and internal teams — systematically collecting, synthesising, and reporting customer and partner insights to Product Management and Engineering. • Collaborate closely with PM and Engineering to influence product roadmap priorities based on EMEA market signals, competitive dynamics, and customer pain points. • Keep the SE team current on new product innovations, feature releases, and roadmap developments — acting as a trusted internal technical advisor. • Provide expert support to SEs working on complex, multi-layered customer use cases involving cloud security architecture, network security policy, and data protection. • Design and run a structured technical enablement programme across the EMEA region, building capability within the SE team and driving deeper customer engagement. • Build and own an EMEA Technical Enablement Programme, covering workshops, deep-dive technical sessions, and certification-style content for the SE team. • Develop and deliver in-depth technical workshops and use-case-driven training sessions for customers, partners, and internal teams. • Represent the company at regional and international industry events, conferences, roundtables, and executive briefings as a technical thought leader. • Design repeatable deep-dive use cases and solution playbooks that SEs can leverage to accelerate complex deals. • Partner with Marketing and Partner teams to ensure field content, demos, and messaging are technically accurate and differentiated.
DC Solution Architect
Alight SolutionsAlight Inc. (NYSE: ALIT) is a leading cloud-based human capital technology and services provider
• The Solution Architect applies deep 401(k) (Defined Contribution) and benefits admin expertise • create compelling solutions that bring our value proposition to life • partners with Sales Executives and Account Executives through all stages of the sales process • maintain expertise in Defined Contribution admin as well as working knowledge of other Alight capabilities • assist SEs in the development of prospect sales strategy • review, update, and provide input on RFP responses • provide input to product owners – insights and feedback from prospects and Third-Party Evaluators
• Be the one building AI-powered experiences where they matter most. • The Principal Architect and AI Engineer – Agentic & Industry Solutions is a highly technical, hands-on leader responsible for designing, building, and scaling transformative AI-powered solutions on Genesys Cloud. • Working within the Innovation Solutions organization, this role drives the development of reusable Agentic AI capabilities, industry-specific solution accelerators, and intelligent workflow automation that enable organizations to fundamentally transform customer and employee experiences. • The Principal Architect and AI Engineer provides technical leadership and expertise across architecture, development, and solution delivery, collaborating with Product, Engineering, Strategic Customers, Industry SMEs, and Technology Partners to convert emerging AI technologies into scalable, market-leading solutions.
• Work directly with senior leadership and Oracle NetSuite Sales Organization. • Conduct detailed pre-sales requirements analysis and implementation approach planning. • Lead risk analysis and co-selling of NetSuite solutions. • Review detailed current state business requirements and develop responses for proposals. • Negotiate pricing, scope, timeline, and resourcing with stakeholders.
