We are currently looking for a Data Scientist with the below skills and
experience:
Data Scientist
As a Data Scientist you will be responsible for using large data sets to find
opportunities for product and process optimization and using models to test
the effectiveness of different courses of action. The ideal candidate must
have extensive experience of using a variety of data mining/data analysis
methods, using a variety of data tools, building, and implementing models,
using/creating algorithms and creating/running simulations. They must have a
proven ability to drive business results with their data-based insights. They
must be comfortable working with a wide range of stakeholders and functional
teams. They must be passionate for discovering solutions hidden in large data
sets and working with stakeholders to improve business outcomes.
Core Responsibilities:
* Applies strong expertise in AI through use of machine learning, data mining, and statistical models to design, prototype and build innovative and market competitive solutions
* Collaborate with business partners to develop novel ways to meet objectives utilizing cutting edge techniques and tools
* Effectively communicate the analytics approach and how it will meet and address objectives to business partners
* Advocate and educate on the value of data driven decision making focusing on the how and why of solving problems
* Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts, and developers
* Create repeatable, interpretable, dynamic, and scalable models that are seamlessly incorporated into analytic data products
* Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources
* Share your passion for Data Science with broader enterprise community; identify and develop long-term processes, frameworks, tools, methods, and standards.
Required Qualifications:
* Bachelors degree in Data Sciences/Analytics or related quantitative fields (statistics, Operations research, mathematics, econometrics etc.). Advanced degree will be preferred
* 4 to 6 years' experience in applied data science role in a progressive workplace
* Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets Experience querying databases (SQL, Hive)
* Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
* Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
* Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.
If this is of your interest, please apply with your latest CV
Hive Analysts Mining Data Mining Analysis Algorithms Data Science Machine
Learning Features Optimization R Statistics Developers Analytics Mathematics
Databases Python Research SQL Design Business Science
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