Senior Director Data Science

Circana

8d•Remote

About The Position

Circana is a leading provider of technology, AI, and data solutions for consumer packaged goods companies, manufacturers, and retailers. Our predictive analytics and Liquid Data® platform help clients measure market share, uncover consumer behavior, and drive growth—powered by six decades of expertise and an expansive, high-quality data set. At Circana, we are fueled by our passion for continuous learning and growth, we seek and share feedback freely, and we celebrate victories both big and small in an environment that is flexible and accommodating to our work and personal lives. We’re a global company dedicated to fostering inclusivity and belonging. We value and celebrate the unique experiences, cultures, and viewpoints that each individual brings. By embracing a wide range of backgrounds, skills, expertise, and beyond, we create a stronger, more innovative environment for our employees, clients, and communities. With us, you can always bring your full self to work. Join our inclusive, committed team to be a challenger, own outcomes, and stay curious together. Circana is proud to be Certified™ by Great Place To Work®. This prestigious award is based entirely on what current employees say about their experience working at Circana. Learn more at www.circana.com. Role Overview Sr. Director, Data Science for various and unanticipated worksites throughout the U.S. (HQ: Chicago, IL). Support and manage highly complex software development initiatives, including data engineering, data analysis, user support. Manage and drive integrated teams, driving technology solutions.

Requirements

Developing and tuning spark applications using Databricks; spark architecture, spark SQL, Pyspark; data frames and tuning big data spark applications; Python, Scala, SQL, UNIX shell scripting; SQL scripting; cloud platforms (Azure, AWS); Database Design and Data Modelling; strong diagramming skills (flowcharts, data flows); Synapse, Snowflake, Google BigQuery; Abinitio, Oracle; Software Life Cycle (Waterfall Model); Agile, Scrum, Kanban Models; PL-SQL Procedures, Python Scripting, Data modeling; Hadoop/Hbase applications.
Bachelor’s degree in Computer Science or Computer/Electrical/Electronics Engineering or related Engineering field.
5 years of progressive experience as a Technical Lead or Analyst or IT Director or in software development required
Experience reviewing complex code completed by developers
Managing, training and mentoring developers, monitoring productivity, ensuring projects are delivered on schedule
Triaging & troubleshooting complex software data
Hands on software experience developing, designing, requirement gathering, and tuning spark applications using Databricks, experience with spark architecture, spark SQL, Pyspark
Data frames and tuning big data spark applications
Expertise with Python, Scala, SQL, UNIX shell scripting, SQL scripting; hands-on experience with cloud platforms (Azure, AWS); Database Design and Data Modeling; strong diagramming skills (flowcharts, data flows); Synapse, Snowflake, Google BigQuery; Abinitio, Oracle; Software Life Cycle (Waterfall Model); Agile, Scrum, Kanban Models; PL-SQL Procedures, Python Scripting, Data modeling.

Nice To Haves

Stay Curious: Being hungry to learn and grow, always asking the big questions.
Seek Clarity: Embracing complexity to create clarity and inspire action.
Own the Outcome: Being accountable for decisions and taking ownership of our choices.
Center on the Client: Relentlessly adding value for our customers.
Be a Challenger: Never complacent, always striving for continuous improvement.
Champion Inclusivity: Fostering trust in relationships engaging with empathy, respect, and integrity.
Commit to each other: Contributing to making Circana a great place to work for everyone.

Responsibilities

Engage with business partners understand their needs and identify appropriate solutions.
Coordinate execution of development projects from initiation through release.
Prioritize, plan, and implement IT development schedule for major product releases.
Maintain dependency plan between planned sprints; organize and facilitate daily stand-ups and retrospectives at the end of each sprint.
Manage and track team velocity, financials, and other critical metrics in relation to the plan and published progress reports.
Hands on reviews of product backlog, designs, code, test scripts and results in addressing delivery impediments or product quality issues.
Ensure high quality and clearly documented deliverables across engineering teams.
Adopt innovative technologies for software product needs. Lead and manage onshore and offshore development teams, mentor teams on changing technology stack.
Assess and install software required for building big data platform. Build robust ETL pipeline that support day to day client delivery.