Blueshift is looking for bold and self-motivated datascience engineers to join the team. You will have a chance to work on all aspects of big fast data systems, state of the art cloud infrastructure and cutting edge AI algorithms.What are examples of work that Datascience Engineers have done at Blueshift?
AI algorithms: We have developed cutting edge AI based predictive models and state of the art recommender systems to deliver the right content, to the right audience, on the right channel, at the exact right time. This is a key driver to predictive marketing journeys. We have received a patent on our unique personalization approach and are recognized by the leading analyst from Gartner as Cool Vendor in AI Marketing.
Data management: Data sits at the core of our product. We ingest billions of user, product and behavior streams every day in real time. We perform ETL on the TBs of data to create schema-less user-product interaction graphs to compute product recommendations and predictive scores.
Cloud native Infrastructure: Framework to provision big data cloud infrastructure in a reproducible, version controlled, elastic and automated manner. Helps us scale our cluster easily. Also makes it easy to upgrade existing clusters or bring new clusters to play with the latest open source releases. We have provisioned our production Hadoop, Spark, Kafka and Druid clusters using this framework.
Open source: We love open source, our entire data infrastructure, and data science stack is built on open source. Hadoop, Hive, Hbase, S3, Kafka, Spark, Airflow, Druid, H2O.ai, Docker, and Redis forms our infrastructure and application stack.
You will work on full stack data science components and applications such as ETL pipelines, recommendations, predictive targeting, auto-optimization
You will own, design and develop data infrastructure and applications to power cutting, edge AI algorithms over petabytes of data using offline/online data integration
You will build data products for growth and product marketers, think AWS services like AutoML for marketers
You will work with experienced technical and product teams with proven entrepreneurial success
As a first data science engineer in the team, you will have the opportunity to hire, mentor and lead the team
Proven experience with distributed systems like Spark, Kafka, HDFS, Cassandra, Hive and HBase.
Strong architecture, algorithmic design and familiarity with open source AI/ML tools.
A real passion for thinking from first principles and building from ground up
Experience building a production ML systems would be a plus
Competitive salary, equity & benefits
Work with founders and executives closely and participate in all aspects of company building
Early stage opportunity in a massive sized market with proven traction and growing rapidly
Visibility on a global scale
Desired Candidate Profile
Please refer to the Job description above
UG: Any Graduate - Any Specialization, B.Tech/B.E. - Any Specialization
PG:Any Postgraduate - Any Specialization, MBA/PGDM - Any Specialization
Doctorate:Doctorate Not Required
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Startup - BlueShift
Blueshift's AI-Powered Marketing Platform empowers cutting edge B2C brands to drive 1:1 marketing on every channel. With Blueshift, marketers are in full control of automating various forms of personalized messaging across every engagement channel. The company is head quartered in San Francisco, USA and founded by repeat entrepreneurs who previously built Mertado.com (acquired by Groupon to become Groupon Goods), and were part of the early team behind Kosmix (acquired by Walmart to become @WalmartLabs).Blueshift's SaaS platform is used by marketers at leading brands such as Udacity, LendingTree, BBC, PayPal among others. The company is backed by top tier Silicon Valley VC firms like Storm Ventures & Nexus Venture Partners and has been recognized by leading SaaS analyst firm Gartner as 'Cool Vendor in AI Marketing for 2018'. Blueshift has won multiple awards including TiE top 50 start-ups for it's innovation, culture and growth.
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