Data Science Architect

2 weeks ago

Bengaluru, Karnataka, India Career Soft Solutions Full time

Job Responsibilities :

  • Data mining using state-of-the-art methods
  • 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
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Creating automated anomaly detection systems and constant tracking of its performance
  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Responsible for defining and documenting architecture, capturing and documenting non-functional (architectural) requirements, preparing estimates and defining technical solutions to proposals (RFPs)
  • Provide technical leadership to project team to perform design to deployment related activities, provide guidance, perform reviews, prevent and resolve technical issues
  • 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.
  • Creates and manages a machine learning pipeline, from raw data acquisitions to merging and normalizing to sophisticated feature engineering development to model execution.
  • 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.
  • Communicates highly technical information to numerous audiences, including senior management, the user community, and less-experiences staff.
  • Leads the organizations planning for the future of the data model and data architecture.
  • Exhibit advanced visualization skills, as well as creative problem-solving
  • Interacting with customers to have an in-depth understanding of their operations to improve their processes for managing equipment and interfacing.
  • Reviewing and providing counsel for all major "Business Case Analysis" effort.
  • Developing the interdependencies between major applications/efforts
  • 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 :

  • A Bachelor- s Degree from an accredited college or university or equivalent years (4 years) of experience relevant to this role.
  • Seven or more years of progressively responsible role relevant experiences that demonstrate both breadth of business knowledge and depth of digital and analytical skillsets.
  • Curiosity about and a deep interest in how digital technology and systems are powering the way users do their jobs.
  • Comfortable working in a dynamic environment where digital is still evolving as a core offering.
  • Ability to clearly and succinctly explain complex topics.
  • Expert in Python; familiar with concurrency in Python
  • Track record of architecting and delivering highly available back end systems for large-scale consumer experiences
  • Proficient with git or similar source control system; and Experienced with git-based development workflows
  • Ability to design and consume well-tailored REST APIs
  • Experience working in development teams with code reviews and varying levels of seniority
  • Thrives in agile environments but also understands the balance in coding discipline required for large scale, high quality end consumer apps
  • Experience both in jumping in to an existing architecture, and starting projects from scratch
  • Proven ability to take initiative and dive in to areas of new technology
  • Self-motivated with a passion for learning, analysing technology trade-offs, and shipping product
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Proficiency in using query languages such as SQL
  • Good scripting and programming skills
  • Data-oriented personality

Desired Qualifications :

  • Experience with common data science toolkits, such as Python, R, Weka, Matlab, etc (Excellence in at least one of these is highly desirable).
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Experience with data visualisation tools, such as Tableau, Power BI, , GGplot, etc.
  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase.)

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