Senior Data Scientist

The Coca-Cola Company
San Jose, CA, United States
4 days ago
Apply on www.jobmonkeyjobs.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Languages
English

Tech stack

Microsoft Azure Big Data Data Transformation Data Structures Relational Databases Github R (Programming Language) Statistical Hypothesis Testing Integer Programming Python (Programming Language) Machine Learning SQL Databases
+9 more
Unstructured Data Supervised Learning Apache Spark Gitlab Information Technology Data Management Machine Learning Operations Software Version Control Programming Languages

Job description

The Coca-Cola Company’s Technology organization is in the midst of a digital transformation that allows our employees to use world class technology to connect our products to our customers all over the world. This journey is a very exciting time for Coca-Cola and our employees are big contributors to our Success and Growth. Our large scale and complex environment offers an incredible opportunity to address challenges, enable innovative solutions to make a difference for our customers.

In this position, you will embark on a journey of leveraging vast amounts of data to transform it into actionable insights. You will aid in the development of analytics models and work under the guidance of seasoned data science professionals to drive decision-making and strategy across the organization. This is an exciting opportunity to grow in your career in data science and analytics within a supportive and innovative environment.

What You’ll Do for Us:

  • Collaborate with cross-functional teams to understand business requirements and objectives.

  • Translate business requirements by incorporating data and develop ML and AI algorithms to produce actionable insights for various functional areas and use-cases, including Marketing, Finance, Technical Innovation and Supply Chain (among others) across the Globe.

  • Leverage a diverse set of large structured and unstructured data to derive meaningful insights and information sets for modeling.

  • Visualize and interpret data and create reports and actionable insights.

  • Communicate complex analytical work to a variety of technical and non-technical stakeholders, including executive management.

  • Partner with ML OPS to scale and operationalize ML and AI use-cases.

  • Maintain technical documentation in accordance with the agreed standards.

  • Build and maintain a robust library of data science solutions, reusable templates, algorithms and supporting code.

  • Leverage CI and CD principles to automate and improve repeatability of deployments.

  • Keep abreast of industry trends and developments in data science and analytics.

Requirements

  • Bachelor’s or Master’s degree in a quantitative field, such as Data Science, Statistics, Computer Science, Economics, Finance, Mathematics, Operations Research or other quantitative discipline. Ph.D. preferred.
  • Full English proficiency

  • Experience gathering, interpreting and translating business requirements.

  • Proficient experience with analytical and programming languages and packages, such as Python, R, and SQL.

  • Able to understand various data structures and common methods in data transformation.

  • Demonstrated experience in large-scale data wrangling with relational databases and/or Spark.

  • 6+ years’ experience applying a range of statistical, modeling, and mathematical optimization techniques including hypothesis testing, dimensionality reduction, Mixed-Integer Programming (MIP), supervised learning (classification and regression), Bayesian modeling, forecasting, and unsupervised clustering and putting solutions into production.

  • Strong aptitude for learning and applying new technologies related to Data Science and Data Management.

  • Demonstrated ability to communicate complex analytical concepts and results at multiple levels to both technical and non-technical audiences.

  • Experience with code version control platforms like GitHub, GitLab or Azure DevOps.

Functional Skills:

Practical experience with as many of the following as possible:

  • Handles multiple competing priorities in a fast-paced, deadline-driven environment

  • Strong attention to details and excellent problem-solving skills

  • Ability to work in a collaborative team environment

  • Highly innovative, adaptable, and self-directed

  • Results-oriented with a delivery focus

  • Presentation skills: Ability to communicate technical topics to business audience

  • Be able to collaborate across other levels of the organization

  • Team player who can lead a discussion to defined outcomes

  • Effective Communication

  • Pursuing Innovation

What We Can Do for You:

  • Innovation & Technology: The ability to work with an award-winning team that is on the cutting edge of innovation.

About the company

We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.jobmonkeyjobs.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:14 min

Testing and environment management in GitLab CI

Martin Beránek · LIVE

6:36 min

Funding open source through GitHub Accelerator and Sponsors

Stormy Peters · World Congress 2023

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

1:34 min

Bringing diverse skills to industrial data science roles

Katja Träumner

2:30 min

Feature requests for future GitLab CI versions

Martin Beránek · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

Videos

See all

Related articles

See all