Data Scientist at Vontier

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

17 Jul, 26

Salary

0.0

Posted On

18 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Deep Learning, Data Engineering, Statistical Modeling, Predictive Analytics, Cloud Platforms, Python, TensorFlow, PyTorch, Spark, Databricks, Tableau, Power BI, Healthcare Compliance, Data Visualization, Causal AI

Industry

electrical;Appliances;and Electronics Manufacturing

Description

Job Summary: The Data Scientist designs, develops, and deploys advanced analytics and machine learning models to improve healthcare outcomes and operational efficiency within healthcare SaaS platforms. This role collaborates with cross-functional teams to analyze complex datasets, generate actionable insights, and integrate data-driven solutions into secure, scalable, and compliant cloud-native environments. The Data Scientist is responsible for driving innovation in statistical modeling, ensuring responsible AI practices, and supporting the adoption of modern data engineering and visualization best practices. Key Responsibilities: 1. Advanced Machine Learning & AI Engineering * Design, develop, and optimize supervised, unsupervised, and reinforcement learning models. * Implement and fine-tune deep learning architectures using frameworks such as TensorFlow and PyTorch. * Apply ethical AI principles, including fairness, transparency, privacy, and bias mitigation. * Deploy and monitor models in production environments, ensuring scalability and reliability. 2. Data Engineering & Cloud-Native Architecture * Build and maintain scalable data pipelines and ETL processes for real-time and batch analytics. * Engineer robust data architectures using Spark, MetaFlow, Databricks, and cloud platforms (Azure, AWS, GCP). * Manage and manipulate large healthcare datasets for model development and analytics. * Ensure data quality, integrity, and security throughout the analytics lifecycle. 3. Statistical Modeling & Quantitative Analysis * Apply advanced statistical methods, hypothesis testing, and predictive analytics to healthcare data. * Design and interpret causal AI experiments to support business and clinical decision-making. * Develop and validate predictive models for patient outcomes and operational efficiency. 4. Data Visualization & Communication * Create compelling visualizations using Tableau, Power BI, D3.js, or similar tools. * Translate complex data and analytics into clear, actionable insights for technical and non-technical stakeholders. * Communicate findings effectively to engineering, product, and clinical teams. 5. Healthcare Domain Expertise & Compliance * Ensure solutions adhere to healthcare data standards (HL7, FHIR) and regulations (HIPAA, GDPR, CCPA). * Work with clinical datasets and understand healthcare workflows to ensure relevance and compliance. * Stay current with healthcare regulations and data privacy requirements. 6. Collaboration & Continuous Learning * Work closely with product, engineering, clinical, and compliance teams to deliver integrated, data-driven solutions. * Share knowledge and mentor team members on data science concepts and tools. * Commit to continuous improvement and staying current with industry trends and best practices. Required Qualifications: Education & Experience Guidelines * Bachelor's degree in computer science, data science, or other relevant field. * 5-8 years of relevant work experience * Experience developing predictive models and working with healthcare data standards. * Occasional travel may be required. Other Preferred Knowledge, Skills, Abilities or Certifications: * Cloud Platforms: AWS, Azure, GCP * AI Tools: Spark, MetaFlow, Databricks * Healthcare Compliance: HIPAA, GDPR, CCPA * Healthcare Standards: HL7, FHIR * AI Ethics: Fairness, transparency, bias mitigation * Certifications: Azure Data Scientist Associate, Google Cloud Data Engineer, CHDA, IBM Data Science * Visualization Tools: Tableau, Power BI, d3.js * Communication: Ability to translate complex data into actionable insights Fortive 9 Behaviors by Level: Influencing & Mentoring Customer Obsessed: Champions a customer-focusedculture by anticipating evolving needs and shaping solutions that deliver long-term value. Strategic: Drives organizational impact by using data to derive insights that inform near-term and mid-range goals Innovation for Impact: Influences innovation through demonstrating bold thinking and experimentation in own work and coaching others to do the same. Inspiring: Demonstrates purpose-driven impact through expertise and collaboration. Builds Extraordinary Teams: Drives impact through collaboration and influence by fostering trust, sharing expertise, and aligning efforts across teams. Courageous: Influences and leads by example through action and integrity—moves quickly toward goals, tackles challenges head-on, and encourages open sharing of ideas without fear. Delivers Results: Leads complex initiatives to successful completion with high standards, precision, and urgency. Adaptable: Applies rigor and stays true to process while fostering adaptability within the team. Lead with FBS: Embraces FBS and models lean principles by mentoring peers and influencing teams, and going to Gemba for first-hand insights.

Responsibilities

The Data Scientist designs, develops, and deploys advanced machine learning models and data pipelines to improve healthcare outcomes and operational efficiency. They collaborate with cross-functional teams to translate complex datasets into actionable insights while ensuring compliance with healthcare standards.