Data Scientist/senior Data Scientist - Johannesburg, South Africa - McKinsey & Company

McKinsey & Company

Verified Company

Johannesburg, South Africa

1 week ago

Posted by:

Thabo Mthembu

beBee Recruiter

Description

Who You'll Work With:

You will join our QuantumBlack, AI by McKinsey Africa team based in Johannesburg.
Our QuantumBlack, AI by McKinsey teams bring the latest analytical techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data in order to unlock the strategic CEO agenda.
Your role will entail extensive interactions with our global analytics community; partnering with generalist consultants, clients, and other colleagues.

What You'll Do:

You will be involved in specific engagements involving the building of new and bespoke advanced analytics solutions for clients. You'll dive into complex data sets across a rich variety of industries, functions and geographies while remaining a core member of the strategy team, injecting your analytics thinking on meaningful client projects.
You will shape solutions tailored to the needs of our clients, maximizing programming languages (e.g., R, Python), tech platforms, and disruptive analytics methodologies (e.g., Casual Inference, Bayesian Optimization, Geospatial Analytics, Natural Language Processing) as part of our techagnostic firm.
As a senior data scientist and consultant, you will have the opportunity to get indepth exposure to emerging methodologies and programming languages through handson client projects, elearnings, certifications, live bootcamps and global analytics conferences. You'll also benefit from our established, formal leadership and consultingtoolkit trainings to support your personal and professional goals, from being a datascience manager to a firm partner to a Chief Analytics Officer. #LI-MP
Qualifications:
Bachelor's degree in quantitative field like computer science, engineering, statistics, mathematics or related field required; advanced degree is a plus
3+ years of handson mathematical modelling experience in business environment
Programming (focus on machine learning) in Python (must), SPSS, SAS, Ruby, Hadoop (valued)
Data treatment/Data mining SQL, AWK, Access, Spark, Excel (valued)
Advanced knowledge of statistical and machine learning techniques (regression, decision trees, clustering, neural networks, etc.)
Proven experience in working with large datasets and relational databases (SQL)
Distinctive communications skills and ability to communicate analytical and technical content in an easy to understand way
Excellent problemsolving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions
Proven leadership with the ability to inspire others, build strong relationships, and create true followership, resultdriven achievers
Strong people skills, teamorientation, and a professional attitude
Experience and interest in RDBMS systems (MySQL, IBM DB2, Oracle Database, etc.), cloud (AWS, Azure, Google Cloud Platform) and big data technologies (e.g. Hadoop, Hive, Impala, Spark, NoSQL DBs) is preferable
Experience in data extraction, transformation, cleaning, and validation
Experience implementing advanced analytics/data science models into a production environment is a plus