Director, Data Science - Data Commerce Solutions

Calling all innovators – find your future at Fiserv.

We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

Director, Data Science - Data Commerce Solutions

What does a successful Director, Data Science do at Fiserv?

As a Director, Data Science within Data Commerce Solutions, you will manage a team of data scientists and machine learning engineers and grow a team of domain experts in Economic Insights, Forecasting, NLP, Fraud & Risk scoring in respective business domains of Fiserv. You will also design and develop inventive products and solutions to drive innovation. Leveraging statistical analysis, artificial intelligence, machine learning and deep learning models, target specific business objectives and create other business opportunities.

You will work with data science related tools, accelerators, and products and solutions that enhance a data scientist’s work and, ultimately, work in a highly collaborative, team environment with multiple stakeholders including business, product development, architecture, and engineering teams.

What you will do:

• Support end-to-end data science project activities including requirement analysis, explorative data analysis, data wrangling, feature engineering, algorithm selection, model fitting/validation/verification, visualization, hyper parameter tuning, inference analysis, model deployment. 
• Use a High-Performance Computing (HPC) platform to build, test and deploy AI/ML/DL models and provide post deployment support including monitoring, troubleshooting, improving model efficiency, and scaling the solution within the HPC platform.
• Work with several frameworks including Spark, DASK, sci-kit learn, Xgboost, TensorFlow, Keras, PyTorch, Pandas, PyArrow.
• Assist in the communication of insights and the implementation of impactful data science solutions across the organization.

What you will need to have:

• Bachelor’s degree in Economics, Data Science, Computer Science, Statistics, Applied Mathematics, or related field.
• 10+ years of experience as a Data Scientist or in a related role.
• Proficient applying macroeconomic and microeconomic theories to industry cases, time series econometrics and related.
• Experience working with different algorithms using Python (ie. PySpark, PyArrow TensorFlow, scikit-learn, Xgboost, DASK, h2o) and or experience efficiently deploying AI/ML solutions in big data production systems on premise or Azure & Databricks with consideration of resource utilization and costs.
• Experience with data platforms and applications such as AWS Sage Maker, Azure ML, IBM Watson, Databricks, Domino Data Labs. 
• Knowledgeable in building, optimizing, and scaling NLP models that comb through copious amounts of data and experience with ontology/taxonomy and complex unstructured data.

What would be great to have:

• Master’s degree or PhD.
• Proficiency with statistical data analysis and machine learning techniques (e.g., SVM, regression, classification, clustering, time series).
• Working knowledge of Hadoop, Hive, Impala, Cassandra, RDBMS, SQL, Snowflake, Vertica & RDBMS, or NoSQL Databases.

Important info about this role:

• We’re better together. This role is fully on-site.
• In order to be considered, you must be legally authorized to work in the U.S. without need for sponsorship now or in the future.
• This is a full-time, direct-hire position, and no contract options for unsolicited agency submissions will be considered.

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This role is not eligible to be performed in Colorado, California, District of Columbia, Hawaii, New York or Washington.

Please note that salary ranges provided for this role on external job boards are salary estimates made by outside parties and may not be accurate.

Thank you for considering employment with Fiserv.  Please:

• Apply using your legal name
• Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

What you should know about us:

Fiserv is a global leader in payments and financial technology with more than 40,000 associates proudly serving clients in more than 100 countries. As one of Fortune® magazine's "World's Most Admired Companies™" 9 of the last 10 years,