Platform Data Scientist @ Black Crow AI

Platform Data Scientist

Machine Learning

Posted on 3/28/2023

INACTIVE

Locations

Remote

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Apache Spark

AWS

Data Structures & Algorithms

Java

Scala

Python

Requirements

8+ years of relevant experience as a Data Scientist or Machine Learning Engineer, building and deploying predictive models
Experience working with large scale data, batch and streaming
Deep understanding of ML development lifecycle and MLOps
Strong knowledge of at least one programming language (Python, Java, Scala) and frameworks appropriate for large scale analysis of structured and unstructured data
Strong passion for empirical research, good problem solving skills and organizational skills
Enjoy staying on top of cutting edge machine learning research and best practices, and bringing that knowledge to bear in innovative, real-world applications
Strategic risk-taker with detail-oriented and execution-focused approach. You know what great looks like and when to aim for “good enough.”
Excellent written and spoken communication; can simplify complex topics into clear and impactful summaries and presentations
Self-motivated, flexible, and collaborative - ability to work in fast paced, changing environment with Product, Engineering, and other partners
Insatiable curiosity and love of learning
Strong opinions weakly held. You are knowledgeable in your domain and able to move quickly based on that knowledge, but humble enough to change your mind

Responsibilities

Partner with other data scientists and machine learning engineers to identify opportunities to improve existing products and bring new products to market by building novel machine learning capabilities
Research, develop and implement cutting-edge algorithms and predictive models, from proof-of-concept implementations to scaled applications that solve critical business problems
Leverage your expertise on the present & future capabilities of machine learning to shape the strategic direction of the company
Partner with platform engineering to onboard & develop new tools to scale our data platform
Communicate brilliantly and develop strong relationships at all levels, internally and externally

Desired Qualifications

2+ years of experience building, deploying and optimizing deep learning models, points for experience with RNNs and recommender systems
Experience with Apache Spark and cloud services like AWS is a plus

The company + vision.

Everyone’s got the message: machine learning is changing everything. And for Fortune 500 brands in every vertical, it’s actually true — ML predictions are solving billion-dollar, migraine problems. But for smaller brands, the talent and investment needed to build an ML platform are simply out of reach.

Black Crow is changing that--fast. Founded by a team that has spent the last decade in machine learning, our mission is to help DTC brands turbocharge their growth by delivering bespoke, Fortune 500-grade ML predictions. It works out of the box, delivered as a service, and costs less than one data scientist. Integration: one click.

12 months ago, we had one DTC brand using our predictions. Now we have over 150 — including Solo Stove, SAKARA, Native, Keurig, and Bearaby. There are 50,000 more who haven’t heard of us yet.

Black Crow AI recently concluded a $25 million Series A led by top investors in the DTC and B2B SaaS sectors, and is well funded for multiple years

The team + culture.

This is the 3rd company Black Crow’s founders have started together. Both previous companies scaled to >$100MM and were voted ‘Best Places to Work’ in NYC many times.

The founders are building Black Crow to be commercially successful, high growth, and valuable. But that’s insufficient as an end--we’re also building a company that we actually want to work at! That means we are human first--we don’t expect anyone to transform themselves to show up at work. It means working together is a positive force in our lives, not something we tolerate for the paycheck. And it means we see diversity as a strength.

Where you come in:

Black Crow AI is seeking a Platform Data Scientist to join our top notch data team. You’ll be a technical thought leader & hands-on builder who helps scale innovation across all of the data science and machine learning applications at the company. We’re looking for someone with an entrepreneurial spirit, who can leverage their deep knowledge of machine learning to build advanced models that underpin use cases across our product suite and guide on the platform tooling and architecture required to support them.

What you’ll do:

Partner with other data scientists and machine learning engineers to identify opportunities to improve existing products and bring new products to market by building novel machine learning capabilities
Research, develop and implement cutting-edge algorithms and predictive models, from proof-of-concept implementations to scaled applications that solve critical business problems
Leverage your expertise on the present & future capabilities of machine learning to shape the strategic direction of the company
Partner with platform engineering to onboard & develop new tools to scale our data platform
Communicate brilliantly and develop strong relationships at all levels, internally and externally

About you:

8+ years of relevant experience as a Data Scientist or Machine Learning Engineer, building and deploying predictive models
2+ years of experience building, deploying and optimizing deep learning models, bonus points for experience with RNNs and recommender systems
Experience working with large scale data, batch and streaming
Deep understanding of ML development lifecycle and MLOps
Strong knowledge of at least one programming language (Python, Java, Scala) and frameworks appropriate for large scale analysis of structured and unstructured data.
Experience with Apache Spark and cloud services like AWS is a plus.
Strong passion for empirical research, good problem solving skills and organizational skills
Enjoy staying on top of cutting edge machine learning research and best practices, and bringing that knowledge to bear in innovative, real-world applications
Strategic risk-taker with detail-oriented and execution-focused approach. You know what great looks like and when to aim for “good enough.”
Excellent written and spoken communication; can simplify complex topics into clear and impactful summaries and presentations
Self-motivated, flexible, and collaborative - ability to work in fast paced, changing environment with Product, Engineering, and other partners.
Insatiable curiosity and love of learning.
Strong opinions weakly held. You are knowledgeable in your domain and able to move quickly based on that knowledge, but humble enough to change your mind

More about us.

+ Virtual-first and welcome employees from anywhere

+ Unlimited paid time off

+ Fridays are yours - complete flexibility on if or how much you focus on Black Crow each Friday

Love your job.

We love our work and our team. Our machine learning helps ‘flick the lights on’ for companies so they see their customers more clearly and can uncover the true potential of their tools and teams. In turn, we strive to do the same for our people. We’re here to shine light on each other and unlock known (and sometimes unexpected) potential.

Our vibrant team accomplishes buckets of awesome every day. We also partake in our fair share of daily laughter. Come build the company you’ve always wanted to work for - with inspiring products and a community of passionate people.

11-50 employees

Website

ML business analytics platform

Company Overview

Black Crow AI’s mission is to make AI accessible to businesses of any size by transforming their performance. The company’s leading platform provides real-time insights to businesses at less than the cost of 1 data scientist while showing keys to improvements in business growth and efficiency.

Benefits

Virtual-first and welcome employees from anywhere
Unlimited paid time off
Fridays are yours - complete flexibility on if or how much you focus on Black Crow each Friday

Company Core Values

Community-minded
Communicative
Collaborative