Data Scientist

Key Skills

Data science techniques, Databricks, Deep Learning, Machine learning techniques, NumPy, Pandas, PowerBI, PySpark, Python Programming, PyTorch, Reinforcement Learning, Scikit-learn, SciPy, SQL, TensorFlow

Job Description

What you'll do:

As a data scientist on the team your role will be to build new and/or manage existing data pipes from the several markets around the world to ensure we have quality data feeds. 

Then build on top of this a robust information hub that serves as the default information source to all role players in the BEES hub and markets where we operate.

You will also be expected to wrangle data and run aggregate and/or client level analyses to deliver against the team objectives stated above. These analyses will range from simpler statistical methods to more complicated machine learning methods depending on the application.

On any given day, your role spans doing a high-level presentation to a senior executive to get buy-in to flying to our markets around the world to look for the insight behind the data. You will be at the forefront of our journey towards transforming our traditional operations into a digital, data driven business.

What you'll do:

• A self-starter who can lead multiple strategic projects, manage priorities and deliver results in a fast-paced environment
• Lead from the front – not afraid to get hands dirty in troubleshooting a data problem or chasing a modeling issue through resolution
• A creative thinker – enjoys challenges and has a passion for solving complex problems and generating multi-functional solutions
• Have strong communication skills - able to clearly understand business objectives and translate them to an end to end data science and/or analytics plan
• Have experience working with both highly technical and non-technical profiles on a day-to-day basis
• Experience working with/within revenue growth management team at a large CPG/Retail company; or relevant experience serving such clients in consulting; or experience working in a central analytics/data science role within a large enterprise and international environment or a product-driven venture-backed tech company a plus

What you'll need:

• BA/BS degree in a quantitative field (Computer Science, Math, Physics, Statistics, Operations Research, or similar technical field), MS/PhD a plus
• 2+ years of work experience a plus
• Technical Skills 
• Programming skills in Python, Tensorflow, PyTorch, PySpark or similar language
• Experience working with analytics packages (numpy, scipy pandas, sklearn, mllib)
• Experience programming in SQL
• Experience with data visualization tools (PowerBI, Retool)
• Foundational understanding of, and experience applying classical machine learning techniques (supervised, unsupervised) to noisy data
• Knowledge of distributed computational platforms (Databricks, PySpark) a plus
• Knowledge of deep learning and reinforcement learning a plus
• Experience with:
• Working with the Data Engineering team to scope out upstream and downstream data and pipeline requirements to maintain model
• Managing and optimizing a full end-to-end model pipeline
• Defining and implementing the right experiments to identify whether models are driving business value
•  Take ownership of understanding the business and operational problems at hand and how to best solve them through a data-driven approach
•  Create and maintain your own algorithms
•  Work fluidly across ABI’s global and local teams and functions (sales, finance, marketing, product, IT, etc.) to make data-driven initiatives successful in an efficient way
• Prioritize and find the most efficient path towards solving complex, ambiguous business problems with data, keeping a mindset of simplicity, robustness and speed above all

What We Offer:

• Performance based bonus*
• Attendance Bonus* 
• Private pension plan
• Meal Allowance
• Casual office and dress code
• Days off*
• Health, dental, and life insurance
• Medicines discounts
• Gympass partnership