Career Soft Solutions

Data Science Architect - Machine Learning & Data Mining

Click Here to Apply

Job Location

India, India

Job Description

Job Responsibilities : 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. (ref:hirist.tech)

Location: India, IN

Posted Date: 4/24/2024
Click Here to Apply
View More Career Soft Solutions Jobs

Contact Information

Contact Human Resources
Career Soft Solutions

Posted

April 24, 2024
UID: 4642977529

AboutJobs.com does not guarantee the validity or accuracy of the job information posted in this database. It is the job seeker's responsibility to independently review all posting companies, contracts and job offers.