Data Science
Machine Learning (ML)
PythonAbout antuit.ai
Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through.
Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital.
The Role:
Antuit is looking for a Data / Sr. Data Scientist who has the knowledge and experience in developing machine learning algorithms, particularly in supply chain and forecasting domain with data science toolkits like Python.
In this role, you will design the approach, develop and test machine learning algorithms, implement the solution. The candidate should have excellent communication skills and be results driven with a customer centric approach to problem solving. Experience working in the demand forecasting or supply chain domain is a plus. This job also requires the ability to operate in a multi-geographic delivery environment and a good understanding of cross-cultural sensitivities.
Responsibilities:
Responsibilities includes, but are not limited to the following:
- Design, build, test, and implement predictive Machine Learning models.
- Collaborate with client to align business requirements with data science systems and process solutions that ensure client’s overall objectives are met.
- Create meaningful presentations and analysis that tell a “story” focused on insights, to communicate the results/ideas to key decision makers.
- Collaborate cross-functionally with domain experts to identify gaps and structural problems.
- Contribute to standard business processes and practices as part of a community of practise.
- Be the subject matter expert across multiple work streams and clients.
- Mentor and coach team members.
- Set a clear vision for the team members and working cohesively to attain it.
Qualifications and Skills:
Requirements
- Experience / Education:
- Master’s or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Applied Mathematics or other related
- 5+ years’ experience working in applied machine learning or relevant research experience for recent Ph.D. graduates.
- Highly technical:
- Skilled in machine learning, problem-solving, pattern recognition and predictive modeling with expertise in PySpark and Python.
- Understanding of data structures and data modeling.
- Effective communication and presentation skills
- Able to collaborate closely and effectively with teams.
- Experience in time series forecasting is preferred.
- Experience working in start-up type environment preferred.
- Experience in CPG and/or Retail preferred.
- Effective communication and presentation skills.
- Strong management track record.
- Strong inter-personal skills and leadership qualities.
Information Security Responsibilities
- Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System.
- Take part in Information Security training and act accordingly while handling information.
- Report all suspected security and policy breach to Infosec team or appropriate authority (CISO).
EEOC
Antuit.ai is an at-will, equal opportunity employer. We consider applicants for all positions without regard to race, color, religion, national origin or ancestry, gender identity, sex, age (40+), marital status, disability, veteran status, or any other legally protected status under local, state, or federal law.
Shubham Vishwakarma
Full Stack Developer - Averlon
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JavaA brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting.
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Wissen Technology is a niche global consulting and solutions company that brings unparalleled domain expertise in Banking and Finance, Telecom and Startups. Wissen Technology is a part of Wissen Group and was established in the year 2015. Wissen has offices in the US, India, UK, Australia, Mexico, and Canada, with best-in-class infrastructure and development facilities. Wissen has successfully delivered projects worth $1 Billion for more than 25 of the Fortune 500 companies. The Wissen Group overall includes more than 4000 highly skilled professionals.
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Condé Nast has a huge global footprint across 32 countries worldwide with total monthly visitors reaching more than 550 million. We aim to inspire, inform and entertain our audiences through our portfolio of well known brands such as Vogue, Wired, Vanity Fair, Architectural Digest, GQ and many other leading brands.
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Engineering is responsible for scaling, building, deploying websites that serve over 500 million users globally. The global engineering team includes Product Engineering, Platform Engineering and Core Engineering.
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Our mission is to build modern media platforms to serve our omni-channel experiences for our portfolio of global brands such as Vogue, Wired, Vanity Fair, and Glamour which currently reaches over 500 million monthly users. We need your help to create new capabilities, and strengthen our existing ones, so that our brands can reach wider audiences through engaging digital experiences.
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You will be working alongside international colleagues across the US, London, and India. We strongly emphasise cross-functional working through partnering directly with Product, Data, Design, UX and Delivery.
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Condé Nast is looking for an experienced engineer to join and help us build the next generation of our content creation digital products. You will work closely with our product teams and help lead engineering teams in their shared mission to scale out and build our internal platform. These teams’ focus spans many types of products essential to both editors, other engineers, and subscribers. Your work will drive the future of Condé Nast’s digital strategy in today’s publishing market and reach our millions of readers around the world.
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Helping leading projects from ideation to execution to maintenance
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Collaborating with the broader engineering group on new ideas or improving existing ones
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Participate in design and code reviews
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Helping us grow and expand our engineering teams
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Strong analytical and problem solving skills
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Expert level fluency in at least 1 programing language
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Experience working with, designing, and deploying production-grade React/Ember applications
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Experience working with and helping Design Systems
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Familiarity and experience with designing, and deploying production-grade RESTful APIs, experience and knowledge of GraphQL APIs a plus
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Strong end-to-end testing experience and an emphasis on TDD methodologies
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Eager to learn about new technologies and implementing these ideas in a production environment
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Languages and Frameworks: JavaScript, Node, React, Ember
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Data: Mongo, Postgres, Elasticsearch, Kafka
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Deployment: Docker, AWS, Terraform, Kubernetes, CircleCI
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Datadog, Kibana, Elastic search - for observing our platform
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APIs: GraphQL
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Source Control: Git, GitHub
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Remote friendly. We work with engineers across time zones & locations
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Infrastructure as Code everywhere
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We offer industry-leading compensation and benefits
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We are a bunch of smart, passionate, diverse co-workers who love to teach and love to learn
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Full Stack Developer - Averlon