Responsibilities:

• Drive growth & gain market share through effective territory planning for North America. Achieve NA sales targets and company goals through successfully developing & maintaining a High Performing Cellular Automation Workflow Solutions sales team.
• Actively represent Molecular Devices and Danaher at industry events. Engage High Impact customers to drive Executive level partnerships, as well, understand market trends, ensure team positions Molecular Devices’ full portfolio to supply the preferred innovative solutions to accelerate discovery.
• Collaborate with and leverage internal and Cross-OPCO Danaher teams. Develop and support Danaher solutions that exceed the customers’ expectations leveraging the entire MD portfolio and generate demand for new technologies.
• Champion Molecular Devices standard sales processes, Danaher Business Systems, and digital tools to drive sustainable success for Molecular Devices, the customer, the team, and yourself. Provide accurate weekly forecasts and daily quote approvals.
• Drive strategic growth through evolving Strategic Partnerships with Large Channel Partners in NA

Requirements & Skills:

• Bachelor’s Degree or higher in a related Life Sciences discipline.
• A minimum of 5 years of successful Capital Equipment Sales experience, engaging and selling into the life science, drug discovery, Biotech, or related industry.
• 5+ years of managing/mentoring members of a sales organization and demonstrated capability in the leading, hiring, development, and management of sales professionals.
• 5+ years selling through Large Channel Partners
• Residing within the listed territory and willing to invest 60% of working time in field interacting with sales reps, leadership, and customers.
• Successful track record of early identification and development of new technologies and applications which enhance the organization’s ability to market, sell and service existing and new customer solutions systems.
• Capacity for strategic planning as well as tactical implementation, including Large Channel Partners. Using metrics and key performance indicators to identify gaps and developing appropriate countermeasures to close them.
• Knowledge of Cellular Automation Workflow, as well as 3D Biology, is ideal.

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Responsibilities:

• Support software design process based on functional requirements
• Consult with project teams and end users to identify application requirements
• Design, develop, and implement new software features or modifications to existing software
• Support CI/CD process for stability, efficiency, security, and quality of all shipped code
• Support Runtime platform maintenance, integration of new features, and release fixes
• Make recommendations for continuous improvement of SDLC and DevOps
• Design, develop, and implement code automation for improving efficiency & enforcing quality/security baselines,
• Support in the creation and maintenance of documentation
• Participate in advanced support escalation for live site management
• Mentor junior team members and train others as an SME

Requirements & Skills:

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Responsibilities:

Requirements & Skills:

• Bachelors/Masters degree in Computer Science/Electrical Engineering
• Minimum 4 years of experience
• Excellent coding skills in Python and or C++
• Strong knowledge of algorithms and data structures
• Basic understanding of computer networking and protocols
• Basic Knowledge of the Linux Operating System
• Experience in building test/simulation environments for real-time systems
• Masters in Computer Science/Electrical Engineering
• Deep understanding of computer networking domain and protocols. Experience with developing and troubleshooting Layer 2 and Layer 3 networking technologies
• Knowledge of systems/network programming in Linux / POSIX environments
• Experience with infrastructure management and orchestration solutions (VMWare, OpenStack)

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Responsibilities:

• Drive the development of products and platforms with a focus on Machine Learning and Data Engineering.
• Design secure, reliable, and scalable solutions that incorporate both functional and non-functional requirements from product teams, security teams, and technology stakeholders. Present these solutions for review within Loyalty Products and to the wider Mastercard Architecture & Technology Architecture Review Team.
• Define the technical strategy for Loyalty Data and Predictive Analytics, contributing to long-term goals, roadmaps (12-18 months), and detailed planning at quarterly and sprint levels.
• Lead modernization efforts and data transformation solutions for Loyalty Data products, ensuring compliance with payment standards and regulations like PCI-DSS, GDPR, and local On-Soil requirements.
• Collaborate with technical leads, data stewards, DBAs, and database developers to support large-scale, like-for-like data migrations.
• Stay informed about emerging trends and best practices in big data and cloud platforms, providing technical leadership to enhance the quality of data platforms continuously.
• Work closely with teams like Data Privacy, Information Security, Cryptographic Architecture, and Business Operations to gather requirements and ensure compliance with Mastercard policies, industry standards, and regulations.
• Translate business requirements into technical specifications involving data streams, integrations, transformations, databases, and data warehouses.
• Define the framework, standards, and principles for data architecture, covering areas such as modeling, metadata, security, and reference data.
• Evaluate and recommend the best analytics solutions, considering usability, technical feasibility, timelines, and stakeholder needs.
• Break down large solutions into smaller, achievable milestones to gather feedback and data from product managers and stakeholders.

Requirements & Skills:

• Expertise in data platform engineering concepts, architecture design patterns, and industry best practices.
• Subject matter expertise in Databricks and experience in cloud infrastructure, particularly AWS and/or Azure.
• Advanced statistical analysis, coding, and data engineering techniques.
• Open-source tools, predictive analytics, machine learning, and advanced statistics for basic analytical tasks.
• Proficiency in Python, Scala, Spark, Hadoop platforms and tools (Hive, Impala, Airflow, NiFi, Sqoop), and SQL to build Big Data products and platforms.
• Experience developing and deploying production-level data applications and workflows/pipelines, including machine learning systems in Java, Scala, or Python, with full lifecycle involvement—from data ingestion to feature engineering, modeling, and evaluation.
• Architecting scalable data migration solutions using cloud and data lake technologies, along with data transformation tools like Airflow and NiFi for data pipeline orchestration and SQL Server SSIS for ETL.
• Cloud security models, encryption strategies, and network layers for hybrid on-prem and cloud environments.
• Curiosity, creativity, and enthusiasm for technology and innovation.
• Strong quantitative and problem-solving skills.
• An ability to multitask with attention to detail.
• Self-motivation, flexibility, and independence in managing your workload.

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Responsibilities:

• Design, develop, optimize, and maintain data architecture and pipelines for analyzing large data sets and identifying patterns and relationships.
• Solve complex data problems to deliver insights that help the organization achieve its goals
• Manage data sources, organize data, and create data assets using identified open-source or proprietary tools
• Design and implement cloud security and access control mechanisms to protect the data from unauthorized use
• Interact with other technology teams to define, prioritize, and ensure smooth deployments for other operational components.
• Advise, consult, mentor, and coach other data and analytics professionals on data standards and practices.
• Foster a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytical solutions.
• Codify best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases to facilitate data capturing and management.
• Code in SQL to create curated data products.

Requirements & Skills:

• Bachelor’s degree in any of the following – Engineering, Computer Science or other technical field
• Minimum 6 years of relevant experience in data engineering/analytics space
• Experience developing solutions for cloud computing services, cloud security, and infrastructure on AWS and/or Azure
• Experience developing solutions on cloud services like SageMaker, EC2, S3, EMR, Redshift, IAM, etc.
• Experience developing and maintaining data warehouses in big data solutions
• Expertise in SQL and data analysis and strong hands-on expertise with at least one programming language: Python and/or Scala
• Strong knowledge in one or more of the following big data tools: Spark, Hive
• Strong expertise in ETL, reporting tools, data governance, data warehousing, and hands-on experience
• Up-to-date on industry trends within the analytics space from a data acquisition processing, engineering, and management perspective
• Strong people skills, specifically in collaboration and teamwork
• High level of curiosity, creativity, and problem-solving capabilities

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Requirements & Skills:

• 6 to 8 years of experience in software development
• 5+ years of experience building distributed systems
• 5 + years of experience with SQL and data modeling
• Experience working with continuously delivered systems
• A result and delivery-oriented mindset
• A genuine learning and knowledge-sharing spirit
• Unix/Linux/Docker experience
• Interest in or experience in the FinTech industry

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