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Data Scientist

2 weeks ago

Gurgaon, India DISCO Full time

**Your Impact**:
**What You'll Do***:

- Propose and execute applied research in topics relevant to the legal domain within Disco's broader AI strategy of developing tools to identify the legal salience of documents
- Develop proof-of-concept prototypes for AI models and techniques
- Design experiments to assess the validity, quality, and usefulness of AI models
- Work with team to document all work done leading up to the delivery of AI and machine learning solutions

**Who You Are**:

- Bachelor's degree in Computer Science, Mathematics, Physics, Computational Statistics, Machine Learning, or related technical fields
- Minimum 3+ years of hands on experience in machine learning (decision trees/random forest, neural networks, feature selection/reduction, clustering, etc)
- Strong knowledge of theory and techniques in machine learning generally
- Familiarity with a variety of techniques in deep learning
- Experience with deep learning frameworks, such as PyTorch (preferred), Tensorflow, MxNet, or others
- Programming skills in Python, Spark, Scala, R, SQL, or Matlab
- Experience designing experiments and assessing results
- Comfortable working in production-grade software environments
- Ability to work with data provided in a variety of formats, including raw text, pandas DataFrames, or SQL databases
- Strong written and verbal English communication skills

**DISCOs Tech Stack**:
We use several technologies within the engineering organization, and the list is always growing.

Cloud Provider - AWS: EC2, Lambda, Aurora, Redshift, DynamoDB, ECS, SQS, SNS, Kinesis,

S3, CloudFront, CloudFormation, SageMaker, KMS, CodePipeline, etc.

Visibility: ELK Stack for logging, Datadog, New Relic, Sentry.io, JupiterOne, Fossa DSL-based Search: multiple large scale Elasticsearch Clusters searched using our Disco Query

Language (DQL).

Event Bus: Kafka and Schema Registry 3rd Party Vendors: Redis, Auth0 for Cloud Identity Federation (SSO, SAML, etc)

AI: MinHash, FastText, Word2Vec, Convolution Neural Nets, AWS, Sagemaker, PyTorch,

Recurrent Neural Networks, Latent Dirichlet Allocation for Topic Modeling, Large Language Models

Deployment: Terraform, Docker (via ECS), Consul for: App Config, Service Discovery, Shared Secrets.

Programming Languages: Python, JavaScript, C#/.NET, Java/Kotlin.Transport

Mechanisms: Protobuf, Avro, HTTP Rest/JSON CI/CD: Jenkins, CodePipeline, GitHub, Artifactory

**Why DISCO?**:
We intend to build a multi-billion dollar business and think you should come along for the ride because:

- We were the first movers to a cloud-based platform that has caused mass disruption within our market.
- Our CEO is a true market visionary. He graduated with a computer science degree at the age of 15 and followed with a JD from Harvard Law School at the age of 19. His unparalleled insights into the fundamental issues in legal and the potential of technology and artificial intelligence to change our market at its core provide the guiding light for DISCO's long-term strategy.
- We believe that product and engineering professionals including product managers, product designers and engineers differ from one another by at least a factor of 10. At DISCO, we only hire the top 1%, pay them well, and with equity, everyone has effectively been getting a raise each and every day. Given our product first mindset, product professionals are very much stars of the show. Our logo, the circle and square, represents the best lawyers and the best product professionals in the world.
- We measure velocity by dollars of revenue per line of code, vs simply lines of code. This drives a very thoughtful and deliberate product design and development process that ensures we're going to make money when we ship products. We hire many more product managers and designers per engineer than most companies to ensure that our engineers have a disambiguated product intent when they are building.
- As a rule, we don't commit to external product delivery dates as we believe that unnecessarily constrains our creativity from both a product and technology point of view. At DISCO respect isn't earned, it is assumed. Good humans inherently treat everyone respectfully. This is a very important concept at DISCO.
- Given the high caliber of talent, the cutting-edge cloud-based technology stack, and thoughtful and novel product and design approach, you'll find yourself learning at a rate you've not likely experienced in your career. Given that we only hire professionals that are passionate about their craft, you'll truly enjoy building a great software product and get in the best "career shape" of your life.
- Over the next 4 years, we'll be growing our product delivery organization. There will be incredible growth opportunities along the way
- We use the "2 Pizza Team" organization design where small autonomous teams own a piece of a product or platform and ship software at rates comparable to a very lean and scrappy startup. We achieve consistency across th