Responsibilities
H-E-B's Corporate Planning and Analysis Team develops and maintains budgets and financial systems while providing current, reliable financial data, analysis, and technical information.
As a Data Scientist II, your archetype is an ML / AI Business Solution Designer. Your passions include creating end-to-end business solutions packages by integrating multi-modals and data pipelines, innovating new ML algorithms to establish strong competitive advantage for H-E-B business, and designing and implementing different ML integration patterns to facilitate multi-modal orchestration.
Once you're eligible, you'll become an Owner in the company, so we're looking for commitment, hard work, and focus on quality and Customer service. 'Partner-owned' means our most important resources--People--drive the innovation, growth, and success that make H-E-B The Greatest Omnichannel Retailing Company.
Do you have a:
HEART FOR PEOPLE... willingness to take a break from algorithmic thinking / detecting to translate and share your findings with a variety of business customers?
HEAD FOR BUSINESS... skills to blend mass data-wrangling with business acumen?
PASSION FOR RESULTS... drive to generate business-valued questions and data-based n solutions?
We are looking for:
- a thought leader of ML innovation who orchestrates business solutions across ML pipelines
What is the work?
Analytics / Design & Development:
- Analyzes clickstream data and customer interactions to drive insights.
- Develops and deploy machine learning models to support e-commerce initiatives
- Presents findings to both technical and non-technical audiences, including senior leadership
- Manages multiple data science projects while collaborating with Product, Business, and Engineering teams
- Serves H-E-B as a thought leader in selected mainstream ML / AI fields
- Builds a concrete roadmap for ML solution maturity revolution
- Creates end-to-end business solutions packages by integrating multi-modals and data pipelines
- Designs / implements different ML integration patterns to facilitate multi-modal orchestration
- Innovates new ML algorithms to establish strong competitive advantage for H-E-B business; ensures new algorithms are backed by solid math and science proof
- Applies an inquisitive nature about open source algorithms, their theories, and their implementation
- Grows expertise in constructing distributed machine learning pipeline from scratch
What is your background?
- A related degree or comparable formal training, certification, or work experience
- 5+ years of experience in a retail or retail-related decision science role
- Expertise / in-depth knowledge of business domain
- Well-rounded experience integrating math / science and platform engineering
Do you have what it takes to be a Data Scientist at H-E-B?
- Experience with Clickstream Analytics (BQ/Amplitude) (Preferably in Retail)
- Experience with Recommendation Systems
- Able to continuously learn new methodologies and applications of ML/AI techniques
- Strong capabilities in translating data science findings into business-friendly results.
- Able to present findings to leaders and peers.
- Ability to contribute to multiple work streams concurrently while staying connected to Product, Business, and Engineering teams.
- Experience working with visualization tools such as Tableau and Dash
- Proficiency in DS techniques (classification, regression, optimization)
- Some familiarity with big data ecosystems (e.g., Spark, Hadoop) and UNIX commands / scripting
- Understanding of best-in-class AI techniques to customize algorithms that created H-E-B-unique differentiators
- Strong research and analytical skills
- Critical and lateral thinking skills
- Experience working with e-commerce data and understanding customer behavior
- Proficiency in tools like BigQuery, Amplitude, or similar for clickstream data analysis
- Experience with Tableau, Dash, or equivalent platforms to visualize data
- Ability to develop end-to-end ML solutions, including NLU/LLM modeling
- Proficiency in Python, SQL, Spark
- Strong ability to present findings clearly and collaborate across teams
- Programming language skills (SQL, R, Python, Scala, Java, C/C++)
- ML optimization skills (GPU code optimization, Horovod, SparkMLlib optimization, Cython, JNI, Numba
- Mainstream ML / AI skills (deep learning, computer vision, NLP / NLU, reinforcement learning, meta-learning, federated learning)
- Ability to grow expertise in constructing distributed machine learning pipeline from scratch
Can you...
- Work in a fast-paced retail environment with frequently shifting priorities
- Work extended hours; sit for long periods
08-2021
CPFA3232