Offer summary

Qualifications:

Masters degree or higher in Computer Science with exposure to statistics, 8+ years of industry experience in building and shipping enterprise-grade data-based solutions, Proven track record in system engineering and backend development using Python, Strong communication and collaboration skills to work with diverse stakeholders..

Key responsabilities:

Own the delivery and customer success end-to-end for Scribble Data's solutions

Help customers frame their problems into the scope for PoCs and build those PoCs using Hasper

Incorporate customer feedback into ongoing deliverables and ensure platform robustness

Track emerging trends and competitors to provide feedback to the product team.

Job description

About Scribble Data

Scribble Data is a generative AI (GenAI), machine learning (ML), and advanced analytics data products platform company. It focuses on the Annuities and Pension Risk Transfer (PRT) segments of the Insurance industry in the US, Canada, and UK.

Hasper - Scribble Data's flagship product, is designed to implement and transform internal-facing complex workflows to streamline insurance operations, enable actuarial work, and accelerate decision-making. It enables businesses to utilize large language models (LLMs) to bridge the gap between decision workflows and natural language, combining ML with a built-in rules engine. It provides a full-stack solution for data preparation and lightweight ML algorithm execution, coupled with a low-code consumption interface designed for business users.

For added security and trust, Hasper offers various secure hosting options for customers, ranging from on-premise to virtual private cloud.

About the Product

Hasper is a full-stack solution in Python that enables customers to build internal-facing data products and workflows using LLMs and MLRS (ML at Reasonable Scale) robustly and quickly. It trades scale of data for speed of development and deployment, strong auditability, and lower skill. With the tradeoffs, Hasper is able to deliver 5x speed-up over existing development processes and tools, and enables end-to-end productionisation of use cases with a remarkably high success rate.

About the Role

Scribble Data customers trust them with their data and the outputs and expect cutting-edge tools and thought processes. The product is at the center of the relationship with customers. We work smart, invest in tools and tech that are on the cutting edge of advanced analytics, and package all that we’ve learnt about efficiency and data mileage into our products. As a solution architect, you will own the delivery and customer success end-to-end. Your responsibilities will include:

Help potential customers frame their problems into the scope for PoCs and build and own the PoCs atop Hasper with high attention-to-detail
Ensuring trust, robustness, performance, and ease of use of the platform in each customer’s context, and depending on the size of the individual customer engagement
Building long-term customers and championing solutions developed by ScribbleData team and traveling to customer locations where needed
Incorporate customer feedback and new asks from customers into ongoing deliverables
Potentially lead a team of engineers and vendors
Track and research emerging trends as well as competitors, thereby creating feedback loops for the product team.

Requirements

Masters degree or higher in Computer Science with exposure to statistics
8+ years of industry experience owning, building, and shipping enterprise grade data-based solutions to production is a must
Proven track record in system engineering / backend development for data-based use cases using Python
Strong algorithmic and data structure skills
Comfortable with big data technologies like map-reduce, noSQL, Spark, HBase, Hive
Strong communication and collaboration skills to work with stakeholders from different backgrounds

Skills that will give you an edge

Having built and shipped a product at a startup
Experience in developing and implementing Machine Learning algorithms for multiple among entity matching, recommendation systems, search systems, natural language understanding etc.
Proficient with Python data science libraries (pandas, numpy, scikit-learn, spacy, etc.) and SQL
Experience with Langchain or other LLM development frameworks
Experience with deep learning frameworks like Tensorflow, Keras, PyTorch, etc.

Product Technology Stack

Python and SQL
Python data science libraries (pandas, numpy, scikit-learn, spacy, etc.)
Deep learning frameworks like Tensorflow, Keras, PyTorch, etc
R, Matlab

We want you to know

Primarily remote work
A work culture that helps you innovate and evolve continuously
A chance to shape the future of ML, marrying it with generative AI

Does this sound like you?

You like adventure and have a stomach for learning and unlearning every day
You are excited by powering up a whole generation of upcoming data applications
You dream big and believe that hard problems need streamlined systems and massive amounts of data to tackle effectively
You embrace uncertainty and can develop processes and systems to handle rapidly evolving requirements
You have the discipline to take audacious goals and break down years-long roadmaps into near term deliverables that provide value to business stakeholders
You enjoy educating your customers and team members about what it means to be data-oriented and cultivating engineering best practices
You are comfortable selling to customers (not a biggie)
You have a sense of humour

What to expect when you apply