Data Engineer


Data Engineer

Be part of something bigger

Nextuple operates a platform for retailers to run flexible fulfillment of their digital orders, the company provides Omnichannel-as-a-Service with several apps and microservices. Intuitive apps allow retailers to manage seamless fulfillment experiences through solutions for visibility, monitoring, anomaly detection & predictive analytics. An API-first architecture and an expansive ecosystem of partners means retailers can deploy fast and flexible omnichannel with ease.

Nextuple was founded by Darpan Seth, Devadas Pattathil & Laxman Mandayam. The founders have worked for successful startups as well as large companies like Publicis Sapient & Walmart. The company has offices in San Jose, Boston, and Bangalore.

Nextuple is helping retailers deliver perfect post purchase experiences to customers using AI/ML tools that are integrated with our products. We are looking for a Data-ML Engineer who can help us with building data ingestion pipelines, constructing ML infrastructure, building research models and developing A/B testing procedures for ML models..

Location: North America


  • Data mining using state-of-the-art methods
  • Work with multiple stakeholders to facilitate preprocessing, analysis of data.
  • Apply state of the art research techniques to derive insights and spot trends
  • Using machine learning techniques to correlate customer behavior to historical data
  • Developing testing strategies
  • Ad-hoc analysis and presenting results

Essential Skills & Qualifications

  • Experience in large scale data processing, preferably with Spark
  • Knowledge of multi processing and cluster programming techniques.
  • Excellent understanding of common data science toolkits
  • Experience with data visualisation tools
  • Experience with SQL and NoSQL databases, such as MongoDB, Cassandra, HBase.
  • Excellent applied statistics skills, such as distributions, statistical testing, regression, etc.

Job Requirements

  • At least 2-4 years relevant working experience
  • Masters or PhD degree in computer science, operations research, statistics, mathematics, or equivalent fields
  • Solid theoretical foundations and industry experience in large scale data analysis/platforms, machine learning, sales forecasting.
  • Experience in machine learning libraries such as Tensorflow, Keras, PyTorch and Scikit-learn
  • Solid programming skills in SQL, Java, Python and Scala
  • Ability to consume research papers and convert them into quick proof of concepts
  • Passionate about technology, demonstrates ability to generate new ideas and innovations; excellent in self-learning, problem analysis and solving; works independently and is proactive
  • Good interpersonal and communication skills, including the ability to describe the logic and complex models to stakeholders.

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