Job Description

3.00 to 40.00 Years
DALLAS [United States]
To lead, design and implement overall solution architecture comprising of the conceptual, technical and physical aspects. Responsible for review of plan, design and implementation of the overall solution architecture comprising of conceptual (functional and non-functional), technical and physical architecture. Demonstrate Thought Leadership towards white space solutions. Provide system & application level solutions framework & methodologies. Understand the customer requirements for security & interpret gaps in information security and offer recommendations.

Build / Identify areas that need to be POCed (Proof OF Consent). Actively participate IN POCs
AND present TO customer. Conduct research ON service offerings,
market trends,
industry analyst interactions. Provide architectural oversight
AND guidance FOR RFPs
AND ongoing project deliveries. Analyse the existing security
& application processes,
AND guidelines
AND leverage industry standard frameworks wherever applicable. CREATE
AND review the security procedures
AND provide management updates ON security aspects. Review system component High Level Design
AND ensure alignment TO
END (e2e) solution architecture. Provide guidance
AND mentor junior associates TO ensure that they adhere TO strategic technology vision. Exhibit extensive knowledge
& experience OF areas LIKE STORAGE,
hardware sizing,
etc. Upload learning artefacts
FROM project onto common shared file. Review KEY test scenarios
AND guide testing teams. ¿ Works to design and develop analytical/ data mining/ machine learning models as part of data science solutions
¿ Gather, evaluate and document business requirements, translate to data science solution definition, and ability to implement solution on a Big Data platform
¿ Ability to design and build an end-to-end prototype data science solution to a business problem in any specific sector/ function
¿ Ability to support and guide end-to-end model lifecycle management
¿ Create model documentation as per client/ regulatory standards
¿ 15+ years of total experience. 10+ years of experience in analytics/ data mining. 2+ years of hands-on big data analytics experience
¿ Knowledge of Hadoop, Spark and other distributed computing platforms. Broad knowledge of existing data mining, NLP algorithms and technologies
¿ Experience with working on large data sets and developing scalable algorithms
¿ Hands-on experience of machine learning and data mining algorithms such as decision trees, classifiers, Text correlation, clustering, and regression (linear and logistic regression), Random forest, time series analysis, factor analysis etc.
¿ Proficient in scripting languages Python/ Java/Scala. Scripting in Pig/ Hive/ Mahout/¿ a plus
¿ Experience with statistical software SAS/ SPSS/ R/ Python
¿ Experience with Visualization/Search platform tools Tableau/SAS VA/D3/ELK stack/Apache Solr etc.
¿ Excellent presentation and communication skills
¿ Strong analytical and problem solving skills
¿ Degree/Masters/Ph.D. in a quantitative field (Math, Statistics, Economics, Engineering, MBA).
¿ Knowledge of where analytics fits in to a end-to-end business solution
¿ Ability to work with business and technology teams to build and deploy an analytical solution as per client needs
¿ Ability to multi-task, solve problems and think strategically
¿ Strong communication and collaboration skills.