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Fiserv Director, Machine Learning & Data Science in Jersey City, New Jersey

Position Description

What does a great Director, Machine Learning and Data Science do?

You will design and build machine learning modules to implement predictive, descriptive & prescriptive analytical solutions throughout the fintech value chain

Essential Job Responsibility:

  • Design and build personalization engines/learning systems using advanced machine learning and statistical techniques

  • Help the company in identifying tools and components, and building the infrastructure for AI/ML

  • Research and brainstorm with internal partners to identify advanced analytics opportunities to advance automation, help with knowledge discovery, support decision-making, gain insights from data, streamline business processes, and enable new capabilities

  • Perform hands-on data exploration and modeling work on massive data sets. Perform feature engineering, train the algorithms, back-test models, compare model performances and communicate the results

  • Work with senior leaders from all functions to explore opportunities for using advance analytics

  • Provide technical leadership mentoring to talented data scientists and analytics professionals

  • Guide data scientists and engineers in the use of advanced statistical, machine learning, and artificial intelligence methodologies

  • Provide thought leadership by researching best practices, extending and building new machine learning and statistical methodologies, conducting experiments, and collaborating with cross functional teams

  • Develop end-to-end efficient model solutions that drive measurable outcomes. Lead the model development lifecycle, including both working with data engineers and IT partners to identify what data are needed, and training the business end-users on how to use the modeling output

Basic Qualification for Consideration:

  • 5+ years of experience in solving complex business problems and delivering scalable data science/machine learning/artificial intelligence solutions as part of an automated pipeline

  • 2+ years leading large teams of Data Scientists/ Data Engineers and Machine Learning experts and significant experience in hiring, building, mentoring, and growing a team of data scientists and machine learning engineers

  • Minimum 5+ years of working knowledge and demonstrated hands-on experience with machine learning stacks such as Python, R, Spark, Hadoop, AWS, AzureML, CUDA/GPU

  • Bachelor’s degree required; Masters or PhD preferred in Economics, Statistics, Mathematics, Computer Science

  • Strong working technical skills on machine learning/artificial intelligence. These technical skills include, but not limited to, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory, stochastic systems, Bayesian inference, statistical techniques, deep learning, supervised learning, unsupervised learning

  • Solid understanding and hands on experience working with big data, and the related ecosystem, both relational and unstructured.

  • Executing on complex projects, extracting, cleansing, and manipulating large, diverse structured and unstructured data sets on relational - SQL, NOSQL databases

  • Working in an agile environment with iterative development & business feedback

  • Providing insights to support strategic decisions, including offering and delivering insights and recommendations

  • Experience in statistics & analytical modeling, time-series data analysis, forecasting modeling, machine learning algorithms, and deep learning approaches and frameworks. Deliver robust, scale and quality data analytical applications in a cloud environment.

  • Work with loosely defined requirements where you exercise your analytical skills to collaborate with the rest of the team to build solutions

  • Excellent problem-solving skills with ability to synthesize & communicate complex results to senior leaders. Attention to detail with focus on data quality, data consistency and criticality

  • Ability to shape ambiguity, govern & prioritize in a matrixed environment across organizational boundaries

  • Excellent written and oral communication and presentation skills, with the ability to tailor the communication style to the right audience, from the analytic professional to executive leaders.

  • Travel: up to 25% including some international travel

Preferred Qualifications for Consideration:

  • Management consulting experience

  • Understanding of the fintech, financial services/ banking, cards and payments industry vertical

  • Strong desire to stay ahead of industry trends & technologies with a commitment to continuous learning

Learn more about Fiserv:

Life moves fast. And as it does, we know most people aren’t thinking about “financial services” But we are.

We help people and businesses move money and information every minute of every day. Our solutions connect financial institutions, corporations, merchants and consumers to one another, millions of times a day, behind the scenes, reliably and securely.

We’re Fiserv, a global leader in Fintech and payments enabling innovative financial services experiences that are in step with the way people live and work today. The company’s approximately 44,000 associates proudly serve clients in more than 100 countries, so their customers, members and consumers can move money when and where they need it, at the point of thought.

Our Aspiration is to move money and information in a way that moves the world. As a FORTUNE™ 500 company and one of FORTUNE Magazine World’s Most Admired Companies for the sixth consecutive year, we are committed to excellence and purposeful innovation.

We welcome and encourage diversity in our workforce. Fiserv is an Equal Opportunity Employer (Minorities/Females/Vets/Disabled/LGBT)

Explore the possibilities of a career with Fiserv and Find Your Forward with us.

Fiserv is an Equal Opportunity Employer/Disability/Vet. Visit http://www.careers.fiserv.com/eeo for more information.

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