Data Scientist - POS Data

IBA InfoTech Inc.

Raleigh, NC, United States

3 months ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

ibainfotech.com

Tech stack

Business Analytics Applications Big Data Business Process Modeling Databases Data Warehousing Python (Programming Language) SQL Databases Google Cloud Pandas Scikit Learn Google Bigquery Data Management

+2 more

Data Pipelines Docker

Job description

Develop and maintain tools that bridge disparate data sources across the organization to serve data models, dashboards, decision aids, and business case analysis with up-to-date and accurate information.
Collaborate with our data scientists on engineering predictive features from our product intelligence database.
The prototype, implement and optimize data new pipelines and architectures that can transform our data to impactful insights.
Create robust daily, weekly, or monthly automated processes to deliver impactful work.
Create innovative and efficient techniques that better solve the problems we are working on
Assess risks to proposed analytics solutions based on the quality of existing data sources and actively develop QA procedures to mitigate those risks.
Tailor our syndicated data to retail and CPG business needs in a robust and scalable way.
Facilitate knowledge transfer across the business between Product Delivery and Commercial teams.
Recommend and implement enhancements that standardize and streamline processes, assure data quality and reliability, and reduce processing time to meet client expectations.

Requirements

An experienced data engineer with demonstrated success in designing & maintaining data warehouses in Google BigQuery or other “big data” technologies
A technology enthusiast who appreciates and understands the infrastructure their code runs on
A results-oriented thinker who works backward from desired outcomes to best-practices
A creative engineer who matches the complexity of a solution to the complexity of the problem
A problem-solver who can quickly understand and correct problems with data pipelines
An obsessive perfectionist who knows when to put down the paintbrush and ship, * Have a professional quantitative background with an education that stresses analytical thinking and quantitative methods (STEM)
Have several years of experience as a data engineer with demonstrated success in designing & maintaining data warehouses
Have a strong knowledge of Python & SQL in a data context (iterators, pandas, scikit-learn, etc.)
Are passionate about innovating new ways to answer novel problems
Are comfortable with being given the self-autonomy to work independently and experiment with new ideas and new ways to design and implement data science solutions to advance business goals
Have confidence in being the expert on SPINS data capabilities and best practices based on independent synthesis of a broad range of data
Familiarity with Docker and Google Cloud infrastructure is a plus