Senior Engineer - Data Science

ques to production of the features and monitoring after. In addition, the candidate will be expected to understand and consider system constraints - especially constraints related to implementing algorithms on resource-constrained platforms. "

"• Carry out data analytics and optimization using machine learning & deep learning and and participate in strategic planning for data analytics.
• Integrate data & perform ad-hoc analysis and prototype ideas, research and develop statistical models, and run experiments
• Design data-driven solutions to solve critical business problems, understand company needs, and contribute innovative ideas to enhance or develop products using new or existing data streams.
• Present and promote results to both internal stakeholders and external clients and partners
• Use suitable databases and project designs to boost joint development efforts
• Improve and support existing data science products and Develop custom data models and algorithms
• Build tools and processes to monitor and analyze performance and data accuracy, and leveraging predictive modeling to optimize targeting, revenue generation, customer experiences, and more.
• Demonstrate exceptional impact in delivering projects in terms of architecture, technical deliverables, and project delivery throughout the project lifecycle.
• The candidate is expected to be conversant with Agile methodologies and tools and have a track record of delivering products in a production environment
• Work with a team of experts in deep learning, machine learning, distributed systems, program management, and product teams, and work on all aspects of design, development and delivery of deep learning enabled end-to-end pipelines and solutions.
• Lead the development of technical solutions and implement architectures for project and products across data engineering and data science teams
• Evaluate business requirements to determine potential solutions
• Recommend and set up appropriate performance monitoring solutions; author and implement the solutions
• Is accountable for end-to end delivery of Algorithms
• Author high-quality, highly-performance, unit-tested code to extract and transform data based on business and data science needs
• Work directly with stakeholders, engineering, and test to create high quality solutions that solve end-user problems.
• Mentor others in the use of tools and techniques
• Explore and recommend new tools and processes which can be leveraged across the data preparation pipeline for capabilities and efficiencies
• Collaborate broadly across multiple functions (data engineering, product management, IT, etc.) to readily make key data readily available and easily consumable
• Create Reusable components which would accelerate algorithm development cycle

Qualifications:

Master's degree pusuing in Mechanical, computer science, Data Science, software engineering, digital signal processing, Electrical, Electronics, Aerospace or related field
"• 5+ years of progressive experience in delivering data science/AI technology solutions in a production environment
• 6 years working with customers (internal and external) on developing requirements and working to deliver end-to-end solution

Required
• Master's degree in Computer Science or equivalent Engineering field with strong knowledge in Machine Learning, Deep Learning, AI, Statistics, and Data Mining.

Desired:
• Advanced degree and/or specialization in related descipline (e.g. machine learning)

Skills:

"Required
• Experience in Machine Learning, Deep Learning (CNN,RNN, ..), Reinforcement Learning, Optimization Techniques, Computer Vision, Natural Language Processing, Recommendation AI Systems.
• Experience in Tensor Flow, Scikit, Keras, Spark ML
• Strong programming skills in Python, R, Matlab,PySpark, SparkR, Scala along with a good understanding of the Linux platform
• Strong knowledge on Databricks
• Experience in at least one cloud provider (AWS, Azure, Google)
• Excellent communication (verbal, presentation, documentation) skills, working with teams that are geographically dispersed, to produce solutions that satisfy functional and non-functional requirements and the ability to effectively explain technical concepts
• Ability to write code that is accessible, secure, and optimized for performance, with the capability to output to different types of consumers and systems.
• Solid understanding of Java and/or Python and associated IDE's (Eclipse, IntelliJ, etc.)
• Extensive experience with Agile development methodologies and concepts
• Strong problem solving and software debugging skills
• Good judgment, time management, and decision-making skills

Desired:
• Experience in Design Thinking or human-centered methods to identify and creatively solve customer needs, through a holistic understanding of customer's problem area

"• Excellent verbal and written communication skills including the ability to effectively explain technical concepts
• Work as a part of virtual, global team
• Good interpersonal, negotiation and conflict resolution skills
• The ability to understand academic research and apply new data science techniques
• Experience being part of larger teams with established big data platform practices, as well as smaller teams where they made a bigger impact in terms of scope.
• Experience of working with Global teams work experience and awareness, Strong communication skills to interact with global teams.
• Innate curiosity
• Self-directed and hungry to learn - a person, who with time in his/her hands, will independently find interesting ways to push the envelope, learning new skills and growing self and the team.
• Team player- we work in small, fast moving teams.
"