MightyHive is a media consultancy that partners with global brands and agencies seeking transformative marketing results in a time of massive disruption and opportunity.
Recognized as a global leader in advanced marketing and advertising technologies, MightyHive provides consulting and services in the areas of media operations and training, data strategy and analytics.
The company is headquartered in San Francisco, and has offices across the globe in London, New York, Sydney, Singapore, Melbourne, and Tokyo.
There’s actually quite a few more too. In 2018, MightyHive merged with S4 Capital plc (SFOR.L), a new age / new era digital advertising and marketing services company established by Sir Martin Sorrell in 2018.
We are looking for an experienced Data Scientist to join our growing India team.
This is a new role focused on the use of data and models to gain granular insight into digital media performance, support fact-based decisions, and communicate opportunities for improvement for MightyHive’s clients.
The senior data scientist will help develop solutions using statistical, data mining methods and data engineering solutions, working closely with our Analytics, Account Management, and Solutions Engineering teams.
The candidate can expect to participate in all phases of internal and client projects, including project definition, data discovery, data engineering, model development and / or data mining, evaluating options, and making recommendations.
Responsibilities include :
Mine data to support analytical projects and prepare data to support the development of information models to prove or disprove project hypotheses
Use statistical analysis and machine learning libraries (R Stats, Python StatsModels, scikit-learn, etc.) to create models that quantify the influence of online activities on offline conversions
Design and manage experiments to ensure proper execution, data cleanliness, and statistical significance of results
Utilize data visualization techniques to explain data and models to clients and internal teams (Tableau, Looker, Data Studio, etc.)
Nurture client understanding of the importance of building & testing strategies across media buys; act as a consultative resource to help clients understand the quality of their internal testing processes
Integration of technology platforms and amalgamation of disparate client data sources
Deploy cloud resources to perform analysis on large data sets
What you bring to it :
6+ years of work experience
Strong analytical problem-solving skills and ability to work with incomplete or imperfect data
Relevant mathematics background including Statistics, Calculus, and Linear Algebra
Bachelor’s / Master’s degree in Computer Science, Engineering, Management of Information Systems, Mathematics, Statistics / Economics or relevant field
2+ years of experience in digital analytics and digital advertising
2+ years of experience querying large databases (SQL) (experience with BigQuery a plus)
2+ years of experience analyzing data with Python and / or R
2+ years of experience with site-wide analytics tool (Google Analytics / Adobe Analytics)
Hands-on experience with machine learning algorithms for classification, regression, and prediction (example, scikit-learn, StatsModels, etc.)
Experience reading the API documentation and understanding the technical requirements for implementation with other platforms
Passionate about working in an extremely fast-paced, demanding, and innovative environment
Ability to explain the analytical methods and results to non-technical stakeholders to drive data-driven decision making