Job Description
Job Description:
Interact with customers to understand business objectives and create analytical strategies to help achieve them.
Enhancing data collection procedures to include information that is relevant for building analytic systems.
Processing, cleansing, and verifying the integrity of data used for analysis.
Analyze and model structured data using advanced statistical methods.
Perform exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.
Analyze data using open source packages and commercialenterprise applications
Perform machine learning, text analytics, and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods.
Selecting features, building and optimizing classifiers using machine learning techniques.
Implement algorithms and software needed to perform analyses.
Drive client engagements focused on Big Data and Advanced Business Analytics.
Doing ad-hoc analysis and presenting results in a clear manner.
Communicate results and educate others through reports and presentations. Skills Required Expertise in Data Mining, Data wrangling, and data munging using one or more of the most commonly used data science tools: R, Python, SAS, SPSS, Weka Experience in end-to-end data science and engineering activities.
Expertise in client engagement, data science consulting type activities.
Must have led a team of data engineers and data scientists in leading data science engagements.
Experience with analytics in IT and IoT space is a plus.
Knowledge and experience in Hadoop (Map Reduce paradigm) etc.
Must be hands-on and must have worked on implementing machine learning and data mining algorithms.
Passion for finding meaning in large data sets and identifying actionable results.
Excellent communication skills (both written and verbal) and interpersonal skills.
Experience working with and transforming large data sets.
Understanding of business value and how this relates to actionable results.
Ability to identify or interpret many inputs and requirements then transforming them into actionable plans.
Ability to take vaguely defined data sets and requirements then proactively identify and partner with needed SMEs to provide interpretations tailored to individual client needs.
Ability to visualize data results into meaningful workflows including charts and graphs
Experience in scripting languages with experience in scripting to integrate software solutions is a plus.
Additional Skills (optional) Scala, Spark, H2O,Mahout, Hive
Product Knowledge: At least 3 of the following: o R, Python (Scikit-learn, numpy, etc), Weka, SAS, SPSS, MATLABOctave, Hadoop (Map Reduce programming).
Ability to work in a Linux environment, and process large amounts of data in a cloud environment.
Knowledge in Search Engine: such as Elastic, Apache LuceneSolr
Job Classification
Industry: IT-Software, Software Services
Functional Area: Engineering Design, R&D,
Role Category: Engineering Design
Role: Engineering Design
Employement Type: Full time
Education
Under Graduation: Any Graduate in Any Specialization
Post Graduation: Post Graduation Not Required
Contact Details:
Company: Hitachi Consulting
Location(s): Bengaluru
Keyskills:
Telecom
Linux
SAS
Analytical
Consulting
Machine learning
Healthcare
Data mining
MATLAB
Python