As a Data Scientist Engineer Leader on the Data Engineering & Analytics team, you will develop data & analytics solutions that sit atop vast datasets gathered by retail stores, restaurants, banks, and other consumer-focused companies. The challenge will be to create high-performance algorithms, cutting-edge analytical techniques including machine learning and artificial intelligence, and intuitive workflows that allow our users to derive insights from big data that in turn drive their businesses. 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 identifying 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 Data & Services products/platform with an impact focused on data science and engineering
- Participate in development of data and analytic infrastructure for product development
- Participate in identification and evaluation of data elements to deliver analytics for product development
- Prototype new algorithms, experiment, evaluate and deliver actionable insights.
- Continuously innovate and determine new approaches, tools, techniques & technologies to solve business problems and generate business insights & recommendations
- Partner with roles across the organization including consultants, engineering, and sales to determine the highest priority problems to solve
- Evaluate trade-offs between many possible analytics solutions to a problem, taking into account 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 client 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.
- Superior academic record at a leading national university in Computer Science, Computer Engineering or Technology related field or equivalent work experience
- At least 5 years of experience as data engineer and with open-source tools
- Prior experience in working in product development/management role
- In depth technical knowledge, drive and ability to learn new technologies
- Outstanding communication and organizational skills
- Strong project management skills
- Strong hands on experience in Analytics & Computer Science
- Demonstrated basic 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/Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), 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
- Good communication skills - both verbal and written – and strong relationship, collaboration skills and organizational skills
- Superior academic record at a leading national university
The following skills will be considered as a plus
- Financial Institution or a Payments experience a plus
- Experience in developing integrated cloud applications with services like Azure or GCP
- Experience of managing/working in Agile teams
- Experience developing and configuring dashboards
Mastercard is an inclusive Equal Employment 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.
If you require accommodations or assistance to complete the online application 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.
