Easter Seals Jobs

Our Purpose

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion (https://www.mastercard.us/en-us/vision/who-we-are/diversity-inclusion.html) for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Title and Summary

Director – Software Engineering AI/ML

As a Director – Software Engineering AI/ML, you will develop data & analytics solutions that power the Mastercard customer experience and customer management enablement. The challenge will be to create high-performance algorithms, innovative analytical techniques including machine learning and artificial intelligence, and intuitive workflows that allow our systems to leverage elegant prediction to drive business outcomes. You will have the opportunity to create high performance analytic solutions based on data sets measured in the billions of transactions and front-end visualizations to unleash the value of big data.

You will have the opportunity to develop data-driven innovative analytical solutions and identify opportunities to support business and client needs in a quantitative manner and facilitate informed recommendations / decisions through activities like building ML models, automated data pipelines, design data architecture/schema, perform jobs in big data cluster by using different execution engines and program languages such as Hive/Impala, Python, Spark, R, etc.

Your Role

• Drive the evolution of products/platform with an impact focused on data science and engineering

• Participate in development of data and analytic infrastructure

• Participate in identification and evaluation of data elements to deliver analytics for the end-to-end customer experience

• Prototype new algorithms, experiment, evaluate and deliver actionable insights.

• Continuously innovate and determine novel approaches, tools, techniques & technologies to solve business problems and generate business insights & recommendations

• Partner with stakeholders across the organization including consultants and engineering to determine the highest priority problems to solve

• Evaluate trade-offs between many analytics solutions to a problem, considering usability, technical feasibility, timelines, and differing stakeholder opinions to make a decision

• Break large solutions into smaller, releasable milestones to collect data and feedback from product managers, clients, and other stakeholders

• Evangelize releases to users, incorporating feedback, and tracking usage to inform future development

• Ensure proper data governance policies are followed by implementing or validating Data Lineage, Quality checks, classification, etc.

• Work with small, cross-functional teams to define vision, establish team culture and processes

• Consistently focus on key drivers of organization value and prioritize operational activities accordingly

• Identify and act upon product improvement opportunities

• Aggregate and collate data sets and conduct data manipulation and technical analysis leveraging industry techniques and best practices to identify trends and draw insights

• Clean and structure data sets fed to downstream analytics

• Escalate technical errors or bugs detected in project work

• Maintain awareness of relevant technical and product trends through self-learning/study, training classes and job shadowing.

Ideal Candidate Qualifications:

• Superior academic record at a leading national university in Computer Science, Computer Engineering, or Technology related field or equivalent work experience

• At least 12 years of experience as data engineer and with open-source tools

• At least 7 years of experience in managing people/teams

• In depth technical knowledge, drive, and ability to learn new technologies

• Outstanding communication skills (both verbal and written) and organizational skills

• Strong project management skills

• Strong hands-on experience in Analytics & Computer Science

• Demonstrated knowledge of statistical analytical techniques, coding, and data engineering

• Experience leveraging open-source tools, predictive analytics, machine learning, advanced statistics, and other data techniques to perform basic analyses

• High proficiency in using Python/Scala, Spark, Hadoop platforms and tools (Hive, Impala, Airflow, NiFi, Scoop), and SQL to build Big Data products & platforms

• Experience in building and deploying production level data driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting

• Curiosity, creativity, and excitement for technology and innovation

• Demonstrated quantitative and problem-solving abilities

• Ability to multi-task and strong attention to detail

• Motivation, flexibility, self-direction, and desire to thrive on small project teams

The following skills will be considered as a plus

• Financial Institution or a Payments experience

• Experience in developing integrated cloud applications with services like Azure. Databricks, Amazon or GCP

• Experience of managing/working in Agile teams

• Experience developing and configuring dashboards

Mastercard is an inclusive equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard’s security policies and practices;

• Ensure the confidentiality and integrity of the information being accessed;

• Report any suspected information security violation or breach, and

• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account, paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 10 annual paid U.S. observed holidays, 401k with a best-in-class company match, deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, eligibility for tuition reimbursement, gender-inclusive benefits and many more.