DataSatge

• Must have relevant experience of 3/7 years in working with Shopify and Shopify Plus stores
• Strong hands to Install & Customize new Shopify
• Basic experience in writing Ruby scripts to runpromotions
• Experience in integrating external API’s
• Proficiency in 3^rdparty integration like ERP- Netsuite, SAP, Odoo, Microsoft Dynamics, Sage, Epicor etc.
• Experience in Implementing Shopify Ajax API, Admin APIs and configuring third partyapps
• Experience working with the following technologies: JavaScript (JQuery), XML, JSON, SQL, PHP, CSS3
• Good knowledge of front-end development and liquid programming language
• Knowledge in other E-Commerce platforms like Magento, woo-commerce, Big-commercewill be 
• Hands on Experience with OOP PHP (2+years)
• Familiarity with GIT
• Understanding of building custom, private and embeddedapps
• Demonstrated ability to adapt and work with team members of various experience levels
• Ability to work with minimal direction with a focus on customer satisfaction
• Communication should be excellent.

What you need to have:

• 5+ years experience in automation development in OO language
• Experience with CI/CD tools like Jenkins, Shippable, TravisCI or similar
• Develop and implement tools for automated testing (Linux Shell, Java/Groovy, Docker, Kubernetes)
• Take essential part in the development cycles, in order to deliver high quality products
• Closely interact with developers and support, regarding customer issues
• Investigate software issues as a result of testing

Responsibilities:

• Build customer facing technology product for global customers.
• Own the Product's frontend and backend development, building reusable, testable, and scalable code
• Research, evaluate, analyse and implement technical requirements
• Collaborate with product management teams to define and implement innovative solutions for the product direction, visuals and experience
• Mentor Junior members of the team

Requirements:

• 5+ years of experience building scalable products, distributed applications product/services in JavaScript and one of Angular/React
• Should have sound knowledge and experience in HTML and CSS
• Familiarity with UI layout, and CSS grid system or experience working with Bootstrap or any other CSS frameworks is a must
• Should have worked on the complete UI lifecycle of converting UI/UX designs into prototypes, write reusable modules
• Implement UI development principles to ensure client side scaling and clean and maintainable code that performs well on various performance metrics
• Understanding of multiple delivery platforms, such as Mobile & Web and developing Responsive UI
• Designing Unit Test cases, integrated test cases using Selenium and Protractor
• Strong coding and problem solving skills
• Ability to own end-to-end deliveries, right from requirements till release
• Excellent coding skills and ability to produce high quality, bug free and testable production grade code
• Experience working in an Agile/Scrum development process
• Ability to review code and continuously push for higher standards of development
• Knowledge of both SQL and NoSQL database services and related tools with the expertise to create efficient schemas, preferably MongoDB would be nice to have

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.

What you will achieve:

• Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap

• Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs

• Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists

• Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space

• Partner with the executive team and other business leaders to deliver cross-functional research work and models

Required Skills:

• Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

• Knowledge of deep learning & NLP

• Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Experience with GPU computing is a plus.

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

• Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

• Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.

• Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Qualifications

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization

• Expert-level experience with machine learning that can be applied to business problems

• Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

• Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

• 5+ years of industry experience in data science and machine learning, preferably at a software product company

• 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

• 3+ years of experience partnering with executive staff on data topics