Group Data Scientist

About Digicel

Enabling customers to live, work, play and flourish in a connected world, Digicel’s world class LTE and fibre networks deliver state-of-the-art mobile, home and business solutions.

Serving 10 million consumer and business customers in 25 markets in the Caribbean and Central America, its investments of over US$5 billion and a commitment to its communities through its Digicel Foundations in Haiti, Jamaica and Trinidad & Tobago have contributed to positive outcomes for over 2 million people to date.

With the Better Connected ethos at the heart of everything, its 5,000 employees worldwide work together to make that a powerful reality for customers, communities and countries day in, day out.

               Digicel also delivers news, sports broadcasting, digital media and financial services in several of its markets

Visit www.digicelgroup.com for more.

Primary objective of the job: 

As Digicel’s Data Scientist you will:  

• Interact with the business to understand its needs and develop use cases for analytics to support its operations
• Lead implementation of analytic approaches, integrating work into applications and tools with data engineers, business leads, etc
• Efficiently query large volumes of data and quickly draw insights
• Analyze historical data to identify trends and support optimal decision making
• Create repeatable, interpretable, dynamic, and scalable models that are seamlessly incorporated into analytics solutions, deployable into Production for use by the business
• Design and implement appropriate statistical measures to evaluate the performance of the models
• Collaborate with developers to successfully implement and prototype solutions

Academic Qualifications and Experience Required:

• Bachelor’s degree required in the field of data science, computer science, engineering, mathematics, statistics, or related fields
• 3+ years of experience in developing machine learning/ analytical models to support business activity (statistics/ML modeling, A/B test experimentation, statistical analysis, causal inference, etc.)
• Experience with Python or R required
• Experience with dash boarding tools (Dash, Shiny, Tableau)
• Ability to structure a problem, gather supporting data using big-data technology (AWS tools, SQL, Python) and
• Experience with large-scale data warehousing, and writing strong narratives to convey findings
• Demonstrated ability to efficiently learn and solve new business domains and problems
• Experience with popular open-source or commercial optimization libraries (e.g., scikit-learn, PyTorch)
• Knowledgeable about containerization, managing pipelines and micro services (e.g., Docker, Kubernetes)

Functional Skills:

• Focused on agile delivery with a “fail-fast, succeed early” mindset and measurable outcomes
• Flexibility to change work direction as the project develops according to highest-priority business needs
• Strong work ethic; ability to work at an abstract level and gain consensus
• Exemplary organizational skills with attention to detail, access, and quality assurance
• Excellent communication and listening skills, collaborating closely with multidisciplinary team members
• Evaluate and make decisions around dataset implementations designed and proposed by peer data scientist

DISCLAIMER:

This job description indicates the general nature and level of work expected of the incumbent.  It is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the incumbent.  Incumbent may, and probably will be asked to perform other duties as required.  Each employee, regardless of classification, is required to maintain a safe, orderly and clean workplace, using safety precautions and observing safety rules at all times.