nathansutton/data-science-job-descriptions huggingface dataset:
Lead Data Scientist at Growthbook

About GrowthBookHere at GrowthBook we are building an open source A/B testing platform and transforming the way product decisions are made. The top 1% of companies spend thousands of hours making their own highly custom A/B testing platforms. We’ve created GrowthBook to give all companies the power and flexibility of a custom in-house experimentation system without having to build it themselves. The world of product development is increasingly moving towards data-driven decision making, and the best way to objectively measure the impact of a product is with A/B testing. Top companies already know this, and test everything they ship. As these methods spread, A/B testing will increasingly be part of all product development processes, and will require a new set of tools which are highly integrated and customized to the product and data. GrowthBook is that platform. Since we launched in May 2021, we’ve added over 1,500 stars on GitHub, and we are the most popular active open source experimentation platform. We’re used by hundreds of companies, and are working closely with fast-growing and large early adopters to help shape our product. Our platform is built using modern tech by very experienced engineers, and backed by top investors. We believe in open source and product-led growth, and we’re focused on building something awesome that our users love.GrowthBook is an equal opportunity employer, and is committed to creating an inclusive, supportive environment for all employees.We regret that we cannot sponsor employment visas at this time. About the roleWe are looking to hire a senior data scientist to join our growing team and lead our data science initiatives. This role is fully remote. We have a lot of hard data science problems to solve, from advanced Bayesian statistics to machine learning. You will get to work directly with our customer’s data teams and regularly meet with top experimentation experts from Uber, Netflix, Facebook, and more to ensure we’re on track to build the best data science and experimentation platform on the planet.  As an early employee, you will wear many hats, have opportunities to touch and influence all aspects of the product, and build a team.  5+ years of experience of data science experience Proficient with SQL and Python Advanced degree in statistics or similar field (or equivalent industry experience) You know how to balance statistical rigor vs the need to move quickly.  You have a good understanding of when something is “good enough”. Bonus: Managed a team before, or worked at a small startup Bonus: Familiarity with data engineering and data warehouses  Generous compensation and employee-friendly equity in a fast-growing early-stage  well-funded startup Unlimited time off  Medical insurance including dental and vision (US) Generous parental leave Work-from-home stipend and IT budget Remote-first company with regular off sites in exciting locations (once Covid allows us to safely travel again)
Senior Data Scientist at Samsara

The Senior Data Scientist will be a senior technical contributor to the team with deep expertise in analyzing large volumes of complex data, building models to help answer pressing business questions or address customer needs, and communicating their findings to both technical and non-technical audiences. The Senior Data Scientist will work closely with technical and business leadership across Samsara, translate customer problems into concrete quantitative analysis, and iterate on the output with stakeholders.
Examples of day-to-day responsibilities:

Leveraging SQL or Python to shape and structure large, complex data sets for analysis
Building statistical and machine learning models to identify patterns, anomalies, and root causes (e.g., analyzing sensor temperatures to spot unhealthy devices)
Meeting with technical and non-technical stakeholders to understand data structures and determine business priorities
Working with product and full-stack engineering teams to build data-powered features in our cloud dashboard
Creating data visualizations and other summary output to support decision-making from operational and leadership teams

Requirements:

BA / MS / PhD or equivalent coursework in engineering or quantitative discipline (e.g., Statistics, Mathematics, Computer Science, Economics, etc.)
Experience with data manipulation and processing, preferably in SQL or Python on very large datasets (e.g., using PySpark)
Experience building statistical / machine learning models, preferably in Python (e.g., using Tensorflow, etc.)
Familiarity managing data science code via GitHub or other code versioning tool
Knowledge of software engineering fundamentals; high level of comfort reading and understanding full-stack / backend development code (e.g., our Go code base)
Experience with data visualization using Python libraries or BI tools (e.g., Tableau)
4+ years experience as a data scientist, data engineer, or related role
Preferred: Experience deploying and optimizing machine learning models for very large datasets (1B+ rows)
Senior Data Scientist at Clearco

Application Deadline: October 1, 2021
Please be advised someone from the recruitment team will be in touch shortly after the application deadline.
Clearco is a company built by founders for founders, and we're laser-focused on our mission to help entrepreneurs succeed. In order for us to succeed in this endeavour, we are looking to add a Senior Data Scientist to the data science team, who will be integral in helping us improve our existing product offering as well as develop new initiatives based on a large variety of data sources.
What your day-to-day will look like:

Working on the Data Science team to help unlock growth capital for founders
Designing and executing sound and reproducible data science experiments
Conduct data mining for the purpose of uncovering insights and improving data acquisition
Leveraging software processes to render the results of data science experiments widely available
Utilizing Machine Learning to:

create and improve models deployed for production at ClearCo
perform descriptive as well as predictive investigatio



You will thrive if you:

Are a Data Scientist with a strong background in software engineering
Possess an expert grasp of statistics, including the notions of variance and significance
Have 3-4 years of experience working in a production data science environment
Have 2+ years of experience working with backend Python-based frameworks
Hands-on Machine Learning experience
Your previous ML work includes significant experience with time series forecasting
Have 2+ years of experience working with SQL and NoSQL databases
Possess great communication skills
Have experience working in a startup environment (asset)

Clearco is an equal opportunity employer. We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives to apply. At Clearco, we’re committed to developing and upholding an inclusive, transparent, and comfortable environment for all. We create a space where every voice, perspective, and idea is heard and acknowledged. We embrace differences, and know that our diverse team is our strength and what drives our innovation. 
Clearco is committed to developing a barrier-free recruitment process and work environment. If you require any accommodation, please email us at accommodations@clear.co and we’ll work with you to meet your accessibility needs.