Job Description
Basic Qualifications
* Bachelor's degree in a quantitative field such as Data Science, Statistics, Applied Mathematics, Physics, Engineering, or Computer Science
* 5+ years of relevant working experience in an analytical role involving data extraction, analysis, and visualization and expertise in the following areas:
o Expertise in one or more programming languages R, Python, MATLAB, JMP, Minitab, Java, C++, Scala
o Key libraries such as Sklearn, XgBoost, GLMNet, Dplyr, ggplot, Rshiny
o Experience and knowledge of data mining algorithms including supervised and unsupervised machine learning techniques areas such as Gradient Boosting, Decision Trees, Multivariate Regressions, Logistic regressions, Neural Network, Random Forest, Support Vector Machine, Naive Bayes, Time Series, Optimization
o Microsoft IoT/data science toolkit: Azure Machine Learning, Datalake, Datalake analytics, Workbench, IoT Hub, Stream Analytics, CosmosDB, Time Series Insights, PowerBI
o Data querying languages (e.g. SQL, Hadoop/Hive) and
Preferred Qualifications
* A demonstrated record of success with a verifiable portfolio of problems tackled
Preferred qualifications
* Master's or PhD degree in a quantitative field such as Data Science, Statistics, Applied Mathematics, Physics, Engineering, or Computer Science
* Experience in the specialty chemicals sector or similar industry
* Background in engineering, especially Chemical Engineering
* Experience starting up a data science program
* Experience working with global stakeholders
* Experience working in a start-up environment, preferably in an IoT company
* Knowledge in quantitative modeling tools and statistical analysis
Personality Traits
* A strong business focus, ownership and inner self-drive to data science solutions to real-world customers with tangible impact.
* Ability to collaborate effectively with multi-disciplinary and passionate team members.
* Ability to communicate with a diverse set of stakeholders
* Strong planning and organization skills, with the ability to manage multiple complex projects
* A life-long learner who constantly updates skills
Required Candidate profile
* 5+ years of relevant working experience in an analytical role involving data extraction, analysis, and visualization and expertise in the following areas:
o Expertise in one or more programming languages R, Python, MATLAB, JMP, Minitab, Java, C++, Scala
o Key libraries such as Sklearn, XgBoost, GLMNet, Dplyr, ggplot, Rshiny
o Experience and knowledge of data mining algorithms including supervised and unsupervised machine learning techniques areas such as Gradient Boosting, Decision Trees, Multivariate Regressions, Logistic regressions, Neural Network, Random Forest, Support Vector Machine, Naive Bayes, Time Series, Optimization
o Microsoft IoT/data science toolkit: Azure Machine Learning, Datalake, Datalake analytics, Workbench, IoT Hub, Stream Analytics, CosmosDB, Time Series Insights, PowerBI
o Data querying languages (e.g. SQL, Hadoop/Hive) and Preferred Qualifications
* A demonstrated record of success with a verifiable portfolio of problems tackled
Job Classification
Industry: KPO, Research, Analytics
Functional Area: Analytics & Business Intelligence,
Role Category: Analytics & BI
Role: Analytics & BI
Employement Type: Full time
Education
Under Graduation: Any Graduate in Any Specialization, B.Sc in Any Specialization, Statistics
Post Graduation: Any Postgraduate in Any Specialization, MS/M.Sc(Science) in Any Specialization, Statistics, Chemical Engineering & Materials Science
Doctorate: Ph.D in Statistics, Advertising/Mass Communication, Chemical, Doctorate Not Required
Contact Details:
Company: Freelancer
Location(s): Chennai
Keyskills:
Predictive Modeling
Advanced mathematics
Statistical Programming
Machine Learning
Deep Learning
HBase
IOT
Azure ML
R
Hive
NLP
Powerbi
Data Scientist
Data Visualization
MongoDB
Data mining algorithms
Spark
Data Modeling
AWS
Statistical Analysis
Python