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Vertisystem
San Francisco, CA, United States
The main function of the Data Scientist is to develop machine learning models driven by exploratory data analysis from complex and high-dimensional datasets, and collaborate with Engineers for product integration. The candidate will work with a wide set of problems such as feature based machine learning, search recommendation, computer vision and m
Job Source: VertisystemPenn Foster
Emeryville, CA, United States
We are looking for a Senior Data Scientist to join the growing BioMADE Technology & Innovation team. Reporting to the Senior Director of Data Science, this person will design, model, and deploy the Digital Backbone’s data model to BioMADE’s 200+ member organizations. You will work with the rest of the Technology team to provide a unified computatio
Job Source: Penn FosterCruise
San Francisco, CA, United States
We're Cruise, a self-driving service designed for the cities we love.We’re building the world’s most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for man
Job Source: CruiseDisco
San Francisco, CA, United States
About Disco Disco is building a collaborative commerce platform that enables brands to partner effectively, acquire customers efficiently, and scale faster. We help premium DTC companies like The Honest Company, True Classic, Lovevery, Sol de Janeiro, and Caraway work together to accelerate growth in a cost-efficient manner, especially in light o
Job Source: DiscoPatreon
San Francisco, CA, United States
Patreon is the best place for creators to fire up their fandoms, share exclusive work, and turn their passions into lasting creative businesses. Over 250,000 podcasters, writers, musicians, artists, and other creative people use Patreon to reach their biggest fans directly and earn an income for the value they provide. Creators can offer paid membe
Job Source: PatreonStreetLight Data
San Francisco, CA, United States
StreetLight pioneered the use of Big Data analytics to shed light on how people, goods, and services move, empowering smarter, data-driven transportation decisions. The company applies proprietary machine-learning algorithms and data processing resources to measure travel patterns of vehicles, bicycles and pedestrians that enable complex transporta
Job Source: StreetLight DataCarta
San Francisco, CA, United States
The Company You’ll Join Carta is a platform that helps people manage equity, build businesses, and invest in the companies of tomorrow. Our mission is to unlock the power of equity ownership for more people in more places. Carta is trusted by more than 40,000 companies and over two million people in nearly 160 countries to manage cap tables, co
Job Source: CartaBayone
San Francisco, CA, United States
Senior Data Scientist Client's R&D Data Management Platform and Ads team is responsible for a wide range of mobile services such as app/video/music/bookstore, cloud storage, payment, search, etc. for smart phone, wearable, and smart home devices. They are looking for an experienced Senior Data Scientist, to develop and apply algorithms and models
Job Source: BayoneSan Francisco, CA, United States
In the 1950s, Norman Borlaug embarked on an effort to breed a new type of wheat that was disease resistant and had higher yields. In the outskirts of Mexico City, he combined his background of agricultural research and theoretical knowledge with careful experimentation and diligent data collection to run over 6,000 experiments - and he was ultimately successful, kicking off the “Green Revolution” that increased global crop yields by an estimated 44% and earned him a Nobel Prize.
At Mercury, we’re looking to seed our team with candidates who can use their background in analytics applied with product development to accelerate the adoption of Mercury. In this role, you’ll be responsible for proactively deriving data insights and partnering with engineering, marketing, design, onboarding, and other product business teams to inform how we invest in and build Mercury’s future. You’ll build a data-informed culture across Mercury so that we can all determine what’s happening, react quickly, and invest intelligently. You will develop various skills as a full-stack Data Scientist working on projects end-to-end and build deep domain expertise in the intersection of Data Science and Product..
Here are some things you’ll do on the job:
Partner with Product stakeholders and other cross-functional teams to identify impactful business questions, conduct deep-dive analysis, translate data insights into actionable recommendations and communicate findings to audiences at all levels to inform data-driven decisions.
Define and analyze metrics that inform tactical decisions and overall strategy for teams that allow us to monitor the health of our products.
Educate teams on how to best use data and define best practices for making decisions on prioritization, experimentation, data models, and more.
Use a variety of exploratory, data visualization, and statistical techniques to uncover actionable insights, including A/B testing, cohort analysis, regression modeling, trend analysis, user segmentation, and machine learning.
Collaborate with other Data Scientists and Data Engineers to build and improve data pipelines, tools, and infrastructure to streamline data collection, processing, and analysis workflows, and ensure the integrity, reliability, and security of data assets.
Influence engineering, design, and business teams to implement data-based recommendations that will improve entrepreneurs’ lives and generate revenue for Mercury.
You should:
Have 7+ years of experience working with product teams on goaling, experimentation, funnels, reporting and finding new opportunities with minimal guidance.
Have fluency in SQL, and other statistical programming languages (e.g. Python, R, etc.).
Have the ability to proactively ask questions, turn them into analyses, and make your case to various stakeholders, including senior leadership.
Have experience crafting data pipelines and dashboards, and understand different database structures.
Be super organized and communicative. You will need to prioritize and manage projects to maximize impact, supporting multiple stakeholders with varying quantitative skill levels.
The total rewards package at Mercury includes base salary, equity (stock options), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.
Our target new hire base salary ranges for this role are the following:
US employees (any location): $203,100 - 238,900 USD
Canadian employees (any location): CAD 184,800 - 217,400
Mercury is a financial technology company, not a bank. Banking services provided by Choice Financial Group and Evolve Bank & Trust, Members FDIC.
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Email Alert for Senior Data Scientist jobs in San Francisco, CA, United States
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