If you think you are suitable for any of the below openings Send us the copy of your CV and a short description about your profile with the title of the job to jobs@continuesintelligence.com

Job Location – Bangalore, India 

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Role: Chief Thought Leader

Overall: Lead the R&D team to conceive and implement innovative business solutions in predictive and prescriptive analytics

• Build capability, standards and frameworks for efficient and easy adoption of predictive and prescriptive analytics and visualization
• Foster active collaboration with academic institutions, prefer PhD Computer science.

Job Requirements

• Good working knowledge of Big Data and NO SQL technologies
• Excellent understanding of statistical (regression analysis, cluster analysis, optimization techniques, etc.) and computational techniques (machine learning, natural language processing, graph or social network analysis, neural nets, simulation modeling); the skill to determine and apply the most appropriate techniques for different categories of problems; and the ability to communicate the business value to business leaders.
• Good working knowledge of visualization techniques and tools
• Good knowledge of software development lifecycle methodologies
• Passion for technology & innovation, creating IPs, patents and research on new and emerging technology trends
• Ability to build and lead teams. Excellent interpersonal and consulting skills

Key Skills

Text Analytics Tools: Eg. Open NLP, Stanford NLP

• Machine Learning Tools: Eg. Mahout, Weka, R, RapidMiner
• Real time Stream Processing Tools: Eg. Storm
• Enterprise Java
• Perl, PHP, Ruby, Python and JavaScript – Desirable
• Good understanding of Hadoop infrastructure

Education & Experience

• PhD in Computer Science or Applied Mathematics from a reputed institute. Specialization in a relevant area is a plus.
• 15+ years of relevant experience, with 7 years in a lead R&D role.

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Role: HANA Analytics Integration Expert

MS or PhD with > 10 years of experience

• Should be a SAP BI / BW Expert with Data Slimming exposures
• At least 5 years of experience with architecture, design, development and implementation of global data warehouse projects using SAP BW, SAP Business Objects platform including tools like Web Intelligence, Dashboard, Crystal, Explorer, Data Services etc.
• Minimum 2 year of experience with SAP HANA and Hadoop Big Data plat forms integration.
• At least 2 year of experience with SAP HANA data modeling using Attribute View, Analytic View, and Calculation View and SAP HANA programming including SQL, SQL Script, and CE-Script
• At least 2 year of experience with SAP HANA reporting including handling complex scenarios using joins, ABAP and SQL
• Expert in SAP HANA Data Administration including managing schemas, data model objects, import/export content etc.
• Experience in Business Process Consulting, problem definition, Architecture/Design /Detailing of Processes
• Background in delivery management and program management Skills for SAP projects including full life cycle implementations
• Strong knowledge in Development/ Configuration/solutions evaluation/ Validation and deployment
• Analytical and Communication skills
• Lead role mentoring Jr. Analysts on approach and results

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Role : Principal Data Scientist

• 10+ years of experience in machine learning, data mining, mathematical optimization.
• PhD or Masters in Computers Science, Computer Engineering, or mathematics
• Expert level knowledge in Hadoop/Mahout/MapReduce frameworks
• Strong knowledge of NoSQL and Relational database systems including HBase, CouchDB, PostgreSQL, MySQL, Oracle etc.,
• Background in predictive, diagnostic, operations analytics for engineering/industrial/M2M applications is strongly desired.
• Good understanding of distributed systems
• Knowledge of R, Matlab, SAS or other open-source/proprietary statistical packages

Overall: Recognized as the ‘go to’ expert in Analytics domain within the organization

• Build design/code/test frameworks and rapid prototyping of new hypothesis
• Assist engineering leadership in hiring and interviewing top talent
• Steer Scrum reviews and stand-up meetings
• Mentor junior staff, conduct design/code/test reviews
• Contribute strongly to IP portfolio of the company in the form of patent disclosures, whitepapers, and blogs.

Roles and Responsibilities:

• Drive architecture and design of in-house IP and customer solutions in the area of engineering analytics
• Responsible for analyzing large data sets to develop custom models and algorithms to drive business solutions
• Build complex data sets from multiple data sources and build learning systems and algorithms to analyze and filter continuous data flows and offline data analysis
• Conduct statistical analysis and build models to determine trends, patterns and significant data relationships

Immediate joiner or short joiner is highly invited.