Senior Engineer - Data Scientist

What You’ll Do

• 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
  

Qualifications

• Master’s degree or Ph.D. pusuing in computer science, Data Science, software engineering, digital signal processing, Electrical, Electronics, Aerospace or related field
• 3-7 years of progressive experience in delivering technology solutions in a production environment
• 3-7 years working with customers (internal and external) on developing requirements and working to deliver end-to-end solution
• Master's degree in Computer Science or equivalent Engineering field with strong knowledge in Machine Learning, Deep Learning, AI, Statistics, and Data Mining
  

Skills

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