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Data Science Head

Data Science Head

Kansal Corporate SolutionsPune
9 days ago
Job description

Role & Responsibilities :

  • The Primary focus of this role is to develop and manage applications involved with Search Systems.
  • Maintain and upgrade search indices for large document repositories, as well as optimizing indexing / queries and supporting analytics.
  • He will be leading a Team of search engineers who build Tags, taxonomy, Thesaurus and ontology data models and standard to define and organize our customers search experience.
  • Drive and coordinate cross-functional projects with broad range of Loan, Insurance and investment products owners, engineers, designers and other groups that may include architecting new data solutions
  • Analyze website metrics and customer behaviour data to make intelligent decisions on optimizing our search model.
  • Collaborate and consult directly with key stakeholders, technical teams and leadership on solutions for taxonomy and metadata that will positively impact the customers search experience
  • Expand and refine data retrieval techniques to use our extensive product catalog and improve customer data quality
  • This role is for machine learning and data-oriented product development (horizontal capability builds) but it will also require strong program management and execution skills.
  • Technical Interactions with vendor or partners in technical capacity for business / capability deliverables.
  • Develops proof of concept to prove or disprove validity of concept. Work with cross functional team to integrate these models into larger solutions.
  • Works collaboratively in a multi-disciplinary team environment.
  • Establishes and maintains professional networks with subject matter experts.
  • Responsible for artificial intelligence / machine learning technology and application analysis, understand latest industrial and academic developments in AI / ML.
  • Design competitive AI / ML services and user experience for next generation products and create prototypes for demonstration.
  • Strong empowerment and self-drive is a must.

Ideal Candidate :

  • PhD / MTech / BE / BTech / MSc in CS or Math, Operation research, Statistics, Econometrics or in any quantitative field
  • 10+ years of industrial experience in Search, Information retrieval, NLP, Machine learning, predictive analytics solution development and deployment
  • Strong Problem-solving ability
  • Should have strong experience in anyone or more programming languages Python or JAVA. Experience in RESTful, Web Services,
  • Experience in using Python, R, SAS or any other statistical software (plus other open source libraries)
  • Skills with Shell / Perl (or similar scripting language), Scala and Java
  • Experience with development tools like Eclipse, Git, Gradle, Jenkins, Jira, JFrog Artifactory etc.
  • Experience with web application server like Tomcat, Jetty, JBoss etc.
  • Strong understanding of OOP design patterns and industry best practices.
  • Fair knowledge of scripting and working in Linux environment
  • Good to have Experience of building Solutions with latest front-end technologies (JavaScript libraries like React or Angular, CSS3, HTML5).
  • Hands-on experience of API Integration single-sign -on and token-based authentication. Experience integrating with SQL and NoSQL databases (Cosmos DB, Cassandra, MongoDB)
  • Good understanding of DevOps pipeline like Azure Devops. Experience in Agile environment
  • Experience in any of the following area could be plus : Lucene based search engines (Elasticsearch, Solr)
  • Experience Container Orchestration technologies (Kubernetes), distributed systems, scalable data analytics technologies (Spark)-
  • Experience in mentoring junior team members, and guiding them on machine learning, NLP, Computer Vision, Speech analytics and data modeling applications
  • Strong communication and data presentation skills
  • Skills with Relational Databases, Data warehouses, Structured & Unstructured data forms.
  • Publications / patents / presentation in recognized Machine Learning and Data Mining journals / conferences is preferred
  • Solid knowledge in deep learning algorithms and AI system design and architecture.
  • Strong hands-on nature (ability to self-code is a must).
  • Strong capability to work on server class (cloud machines) for data science capability builds
  • Strong IT & Business interactions capability
  • Strong team player with exceptional program management.
  • (ref : hirist.tech)

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