Senior Data Scientist / Deployment Engineer
HybridSão Paulo, São Paulo, Brazil
São Paulo, São Paulo, BrazilHybridFull TimeSenior LevelDoctorate Or Professional DegreeInsurance TechnologyMedium
Full TimeSenior LevelDoctorate Or Professional DegreeMediumInsurance Technology
Job Summary
Deploy Shift Technology's fraud detection solutions to new clients and maintain existing client environments by managing data pipelines, executing ETL processes, and developing, testing, and tuning models. Lead a designated pod of clients by implementing Claim Fraud Detection workflows, rolling out new platform features, and driving continuous optimization across client pipelines. Engage with internal and external stakeholders to define roadmaps, present business cases, and report on solution performance while mentoring junior data scientists. Work within the Brazilian Data Science team, focusing on US Property & Casualty customers to deliver accurate, explainable, and secure insurance-grade AI that empowers human experts to detect fraud and automate complex claim processes.
Required Qualifications
- 3+ years of experience in a similar role (deployment engineering, data science, data engineering, or software engineering)
- Strong background in an OOP language (such as C#, C/C++, or Java) and SQL
- AI-savvy with a clear understanding of statistics, machine learning, and data solutions
- Ability to communicate AI concepts internally and explain how the product works to clients
- Client-facing comfort
- Eagerness to learn and master the business aspects of our products
- Fluency in English alongside good overall communication skills
- Permanent, full-time employment status
- Hybrid role based in São Paulo, Brazil
Desired Qualifications
- Experience in deployment engineering, data science, data engineering, or software engineering (beyond the 3+ years minimum)
- Experience in fraud detection
- Experience in anti-money laundering
- Experience in claim automation
- Experience in managing data pipelines
- Experience in executing ETL processes
- Experience in developing, testing, tuning, and deploying fraud detection models
- Experience in implementing Claim Fraud Detection (CFD)
- Experience in workflow automation
- Experience in rolling out new platform features
- Experience in driving continuous improvements across existing client environments and pipelines
- Experience in defining client roadmaps
- Experience in collecting user feedback
- Experience in presenting business cases
- Experience in reporting regularly on solution performance
- Experience in mentoring more junior data scientists
- Experience working with a diverse set of data types, including structured data, free text, documents, and images
- Experience in deploying enterprise-level solutions to clients
- Experience working with US Property & Casualty (P&C) customers
- Experience in client interactions
- Experience in business understanding
- Experience in client engagement
- Experience in coding
- Experience in data science
- Experience in data engineering
- Experience in software engineering
- Experience in writing maintainable, production-quality code
- Experience in anticipating risks
- Experience in making informed decisions
- Experience in ensuring clear, consistent reporting and visibility for leadership and stakeholders
- Experience in a full-lifecycle role
- Experience in acquiring extensive technical and professional experience in data science, data engineering, software engineering, business understanding, and client engagement
- Experience in fraud detection
- Experience in anti-money laundering
- Experience in claim automation
- Experience in deploying advanced AI solutions
- Experience in detecting fraud and risk
- Experience in assessing liability
- Experience in automating complex claim processes
- Experience in empowering human experts
- Experience in delivering exceptional service to policyholders
- Experience in building and deploying advanced AI solutions
- Experience in transforming the industry's most critical workflows
- Experience in working smarter
- Experience in making faster, more confident decisions
- Experience in creating the future of insurance
- Experience in working alongside technical experts
- Experience in playing a key role in deploying enterprise-level solutions
- Experience in managing a designated pod of clients
- Experience in executing duties in client implementation, feature deployment, optimization, and stakeholder engagement
- Experience in leadership and mentorship
- Experience in demonstrating a high level of autonomy
- Experience in effectively anticipating risks
- Experience in ensuring clear, consistent reporting and visibility for leadership and stakeholders
- Experience in working effectively with a diverse group of people
- Experience in collaborating well across multiple teams
- Experience in being a dedicated team player
- Experience in communicating directly with clients on a regular basis
- Experience in being open to communicating directly with clients on a regular basis
- Experience in being business smart
- Experience in being eager to learn and master the business aspects of our products
- Experience in being a professional
- Experience in being AI-savvy
- Experience in having a clear understanding of statistics, machine learning, and data solutions
- Experience in being able to communicate these concepts internally and explain how the product works to clients
- Experience in being client-facing
- Experience in being comfortable communicating directly with clients on a regular basis
- Experience in being open to communicating directly with clients on a regular basis
- Experience in being eager to learn and master the business aspects of our products
- Experience in having fluency in English alongside good overall communication skills
- Experience in having good overall communication skills
- Experience in being a permanent, full-time employee
- Experience in having a competitive total rewards and benefits package
- Experience in having flexible remote and hybrid working options
- Experience in having a variable component tied to personal and company performance
- Experience in having multiple learning and development opportunities
- Experience in having generous PTO and paid holidays
- Experience in having mental health benefits
- Experience in having 2 MAD Days per year (Make A Difference Days for paid volunteering)
- Experience in being a diverse and inclusive workforce
- Experience in welcoming applications from and hiring people who will contribute to the diversity of the company
- Experience in providing reasonable accommodations for qualified individuals with disabilities
- Experience in being aware of scammers
- Experience in only trusting correspondence that comes from emails ending in 'shift-technology.com'
- Experience in never doing initial outreach via Whatsapp/Text/SMS
- Experience in never asking for banking information or personal identification numbers as part of the recruitment process
- Experience in not accepting unsolicited CVs from recruiters or employment agencies
- Experience in deeming unsolicited CVs as the property of Shift Technology
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