Data Scientist Careers at BloomReach Bangalore: Innovate at the Cutting Edge of AI & Ecommerce
Are you a data scientist looking to tackle some of the most complex challenges in ecommerce at massive scale? Do you want to work with petabyte-scale data, cutting-edge ML tools, and world-class engineering talent? If so, BloomReach in Bangalore may be your ideal next career move.
About BloomReach
BloomReach is one of the world‘s leading commerce experience platforms, using AI and big data to power personalized search, recommendations, and content for online brands and retailers. Founded in 2009, BloomReach has raised over $300 million from top investors like Bain Capital Ventures and Salesforce Ventures.
BloomReach‘s Bangalore office, launched in 2016, has grown into a thriving product and engineering hub with over 150 employees. Some quick facts on BloomReach‘s scale and reach:
- 250+ global brands powered by BloomReach, including Neiman Marcus, Staples, and Puma
- 25%+ of US & UK ecommerce search powered by BloomReach
- $200B+ in annual gross merchandise value influenced by BloomReach
- 100s of terabytes of commerce interaction data processed daily
- 10B+ AI-driven experiences delivered per day
Bangalore is core to BloomReach‘s innovation engine, with major R&D initiatives around semantic search, knowledge graphs, ML ops, and more. They‘re looking for passionate, entrepreneurial data scientists to help shape the future of commerce.
The Role: Senior Data Scientist
As a Senior Data Scientist at BloomReach Bangalore, you‘ll lead the charge to extract insights from massive datasets and ship ML-powered features to production. A typical week may involve:
- Exploring PBs of raw clickstream, sales, catalog, and web data to identify opportunities
- Prototyping query understanding and semantic matching algorithms to improve search
- Optimizing a multi-armed bandit model to personalize product rankings in real-time
- Evaluating model performance through A/B tests and refining based on key metrics
- Collaborating with product to define new features and with engineering to scale your models
- Presenting findings to sales, marketing, and leadership to influence product strategy
Some key ongoing projects you may contribute to:
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Semantic Search: Developing deep semantic matching and query rewriting models to boost search recall and show fewer "no results" pages. Leveraging transformers, query-product dual encoders, and more to go beyond simple keyword matching.
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Product Knowledge Graph: Ingesting and structuring data from all corners of the web to build a rich, highly connected knowledge graph of the ecommerce universe. Using KG embeddings and GNNs to power applications like attribute extraction and anomaly detection.
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Real-Time Personalization: Unifying user interaction data across channels and building real-time intent models to drive highly relevant experiences for each visitor. Combining contextual, session-level, and long-term user signals for dynamic personalization.
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Visual AI for Ecommerce: Applying computer vision to power visual search and recommendations, using techniques like metric learning, attention, and multi-modal ML. Automatically tagging and classifying products via deep learning.
Check out BloomReach‘s engineering blog and research papers for an inside look at these initiatives. We‘re pushing the state-of-the-art and putting the latest ML techniques into production!
Your Toolkit
At BloomReach, we use an open and flexible tech stack to enable data scientists to use the best tools for each job. Some of the key tools and platforms you‘ll work with:
- Big Data: Spark, Hive, Presto, Kafka, Airflow, Kinesis, S3
- 100s of TBs processed daily, 10-100s of node Spark clusters
- ML & DL: PyTorch, TensorFlow, Keras, XGBoost, spaCy
- Distributed training on 8x V100 GPU boxes
- Search & Serving: Elasticsearch, Solr, Lucene
- 100B+ products and pages indexed, <50ms avg query latency
- Data & KG: Neo4j, Cassandra, AtlasDB, Protobuf
- 10s of billions of nodes and edges in our Knowledge Graph
- Cloud & DevOps: AWS, GCP, Kubernetes, Docker, Ansible
- 100s of microservices and API endpoints
So whether you‘re an expert in NLP, streaming ML, graph ML, or deep learning, you‘ll have powerful tools at your disposal to bring your ideas to life.
Who You Are
As a Senior Data Scientist at BloomReach, you will be a technical leader, influencing both engineering and product direction. We‘re looking for data scientists with:
- 4-8+ years experience in ML/AI roles, ideally in ecommerce or search domains
- Expertise in Python and Java; familiarity with C/C++, Scala, Go is a plus
- Strong knowledge of ML, NLP, stats, data structures, and system design
- Track record of shipping complex ML systems to production
- Comfort with big data tools like Spark, Hadoop, streaming systems
- Familiarity with cloud platforms like AWS, GCP, Azure
- Experience leading projects and mentoring junior data scientists
- MS or PhD in CS, Stats, Math, Physics or related quantitative field
Bonus points if you have experience with search systems (Lucene, Elastic), recommender systems, knowledge graphs, or ML for personalization. We‘d love to see links to research papers, blog posts, presentations, or open source projects!
The BloomReach Culture & Experience
At BloomReach, we‘ve built a culture of empowerment, innovation, and collaboration. We believe in full ownership and high autonomy – our data scientists choose what to work on and how to have maximum impact. We value boldness and experimentation, encouraging everyone to think big and test unconventional ideas.
Some of the perks of being a BloomReacher:
- Competitive salary and equity compensation
- Comprehensive health insurance for you and dependents
- 401K match to help you invest in your future
- Unlimited PTO and 6 month maternity / 3 month paternity leave
- $1000 annual learning stipend for courses, conferences, and more
- Weekly catered lunch and dinner, and a fully-stocked kitchen
- Onsite gym, recreation room, jam room, and nap room
- Quarterly team offsites, hackathons, happy hours, and more!
But beyond perks, it‘s the people and work that make BloomReach special. You‘ll get to collaborate with brilliant engineers, ML researchers, and product leaders across the globe. With a flat hierarchy and open culture, it‘s easy to have your voice heard and shape the direction of the company.
As Zeo Solomon, a Senior Data Scientist in Bangalore, puts it:
At BloomReach, I get to apply state-of-the-art ML and build innovative products that transform businesses. The scale and complexity of the data is mind-blowing, and the talented people I work with inspire me every day. If you want a high-impact, high-learning role, it doesn‘t get better than this!
Interview Process
Interested in joining the BloomReach data science team? Here‘s what the interview process typically looks like:
- 30 min introductory call with a recruiter to align on role, interests, and logistics
- 60 min video screen with a data scientist involving ML fundamentals and live coding
- Virtual onsite loop with 4-5 sessions on ML design, data analysis, metrics, and cross-functional collaboration. May include a presentation of past projects.
- 30 min final cultural fit conversation with hiring manager
- References, offer, and start your BloomReach journey!
The process is meant to be rigorous yet human. We want to understand both your technical prowess and your ability to navigate open-ended problems and collaborate cross-functionally. We see interviewing as a two-way street and always carve out time for you to ask us questions as well.
Join BloomReach & Transform Commerce
This is an exciting time to be at the intersection of big data, ML, and ecommerce. Consumer expectations are rising, the head-spinning pace of innovation is opening up new possibilities, and BloomReach is at the forefront, transforming how people shop.
Few companies can rival BloomReach‘s scale, data assets, and engineering talent. Every day, we influence billions of dollars in revenue for our customers, push the boundaries of ML research, and deliver magical experiences for shoppers. And we‘re just scratching the surface of what‘s possible.
If this mission to make every digital experience personal, relevant, and compelling excites you as much as it does us, we‘d love to hear from you! Check out our open data science roles and take the first step towards an incredible journey of growth and impact.
| Skills & Tools | Highlighted Projects | Benefits & Culture |
|---|---|---|
| Java, Python, C/C++, Hadoop, Spark | Semantic search, knowledge graphs, real-time personalization | Competitive pay, comprehensive insurance, unlimited PTO |
| PyTorch, TensorFlow, XGBoost | Visual AI, attribute extraction, anomaly detection | $1000 annual learning budget, on-site gym, catered meals |
| Elasticsearch, Neo4j, Kafka, Kubernetes | Generating $200B+ annual GMV for brands like Staples, Puma | 6 month maternity / 3 month paternity leave, team offsites and hackathons |
The future belongs to those who can harness the power of data and AI to create transformative experiences. At BloomReach, that future is in your hands. Apply today and let‘s build it together!
