Career Soft Solutions
Chennai
IT Service
- 1. Data mining using state-of-the-art methods
- 2. Enhancing data collection procedures to include information that is relevant for building analytic systems
- 3. Processing, cleansing, and verifying the integrity of data used for analysis
- 4. Doing ad-hoc analysis and presenting results in a clear manner
- 5. Creating automated anomaly detection systems and constant tracking of its performance
- 6. Selecting features, building and optimizing classifiers using machine learning techniques
- 7. Responsible for defining and documenting architecture, capturing and documenting non-functional (architectural) requirements, preparing estimates and defining technical solutions to proposals (RFPs)
- 8. Provide technical leadership to project team to perform design to deployment related activities, provide guidance, perform reviews, prevent and resolve technical issues
- 9. Analyses complex business and competitive issues and discerns the implications for systems support. Identifies, defines, directs and preforms analysis of technical and economic feasibility of proposed data solution.
- 10. Creates and manages a machine learning pipeline, from raw data acquisitions to merging and normalizing to sophisticated feature engineering development to model execution.
- 11. Designs, leads and actively engages in projects with broad implication for the business and/or the future architecture, successfully addressing cross-technology and cross-platform issues. Selects tools and methodologies for projects and negotiates terms and conditions with vendors.
- 12. Communicates highly technical information to numerous audiences, including senior management, the user community, and less-experiences staff.
- 13. Leads the organizations planning for the future of the data model and data architecture.
- 14. Exhibit advanced visualization skills, as well as creative problem-solving
- 15. Interacting with customers to have an in-depth understanding of their operations to improve their processes for managing equipment and interfacing.
- 16. Reviewing and providing counsel for all major “Business Case Analysis” effort.
- 17. Developing the interdependencies between major applications/efforts
- 18. Providing project leadership, advice, and counsel to developers, management, customers and project teams on the most complex aspects of application development and system integration.
Basic (Required) Qualifications:
- 1. A Bachelor�s Degree from an accredited college or university or equivalent years (4 years) of experience relevant to this role.
- 2. Seven or more years of progressively responsible role relevant experiences that demonstrate both breadth of business knowledge and depth of digital and analytical skillsets.
- 3. Curiosity about and a deep interest in how digital technology and systems are powering the way users do their jobs.
- 4. Comfortable working in a dynamic environment where digital is still evolving as a core offering.
- 5. Ability to clearly and succinctly explain complex topics.
- 6. Expert in Python; familiar with concurrency in Python
- 7. Track record of architecting and delivering highly available back end systems for large-scale consumer experiences
- 8. Proficient with git or similar source control system; and Experienced with git-based development workflows
- 9. Ability to design and consume well-tailored REST APIs
- 10. Experience working in development teams with code reviews and varying levels of seniority
- 11. Thrives in agile environments but also understands the balance in coding discipline required for large scale, high quality end consumer apps
- 12. Experience both in jumping in to an existing architecture, and starting projects from scratch
- 13. Proven ability to take initiative and dive in to areas of new technology
- 14. Self-motivated with a passion for learning, analysing technology trade-offs, and shipping product
- 15. Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- 16. Proficiency in using query languages such as SQL
- 17. Good scripting and programming skills
- 18. Data-oriented personality
Desired Qualifications:
- 1. Experience with common data science toolkits, such as Python, R, Weka, Matlab, etc (Excellence in at least one of these is highly desirable).
- 2. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
- 3. Experience with data visualisation tools, such as Tableau, Power BI, D3.js, GGplot, etc.
- 4. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase..
Job Responsibilities:
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