Sr Data Scientist Marketing Product Analytics

Please note: All roles at Rhino are remote, and there will be no future in-office mandate.
Our mission is to give renters everywhere greater financial freedom to plan and enjoy their lives.
Our first product eliminates cash security deposits and puts more money back in renters’ pockets. With over $45 billion tied up in security deposits for 110 million renters in the United States alone, it’s time for security deposits to officially become a thing of the past. Tying up money at one of life’s biggest and most expensive moments just isn’t fair.
So we threw out the antiquated “way of doing things” and built a technology-driven insurance product to help bring renting into the 21st century. With Rhino, millions of renters across the country now have the opportunity to save with our award-winning deposit insurance. We’ve already saved hundreds of millions of dollars for renters and are trusted in over 1 million homes nationwide, and most importantly, we’re just getting started...
As a Sr. Data Scientist for Marketing and Product Analytics, you will contribute to building a great experience for our landlord partners. By partnering with Product and Marketing on discovery, A/B testing and campaign experimentation, you will inform how we engage with our customers and build Rhino’s best in class product.
In this role you will:

Partner with Product managers on data driven discovery and feature development.
Partner with email marketers and copy writers on campaign design and evaluation.
Collaborate with Engineering and Data Engineering to ensure we collect the right data to understand our users
Extend Rhino’s data models to formalize how we think about user behavior and evaluate third party analytics tools for your area
Empower business partners and executive leadership to easily understand our product performance through clear and accessible reporting

We’re ideally seeking:

2+ years of experience working in a Data Science / Analytics capacity in Tech, E-Commerce or Media / Advertising, partnering with Product and Marketing teams
Solid SQL and Python analysis skills
Hands on experience working with email and event tracking data (e.g. Drip, Iterable, Segment, Amplitude).
Bonus points for experience designing ETL workflows to transform raw data into analytical datasets and metrics for business wide consumption
Applied knowledge of measurement, statistics and program evaluation. Track record of using experimentation to inform marketing campaigns and product development
Strong written and verbal communication skills and strong interest in translating analysis results into business recommendations

Benefits:

Competitive compensation and 401k

Unlimited PTO to give our employees a little extra R&R when they need it

Stock option plan to give our employees a direct stake in Rhino’s success

Comprehensive health coverage (medical, dental, vision)

Remote Work Program to allow for flexibility between home and the office

Generous Parental Leave to create a family-friendly culture

Wellness Perks (Gym, Classpass, & Citibike Memberships)

Commuter Benefits through a Flexible Spending Account

Fintech Equality Coalition Founding member

#LI-TM1


Senior Data Scientist

Our mission is to help small businesses start and grow. We are building financial products that empower business owners and enable them to focus on their products and on growing their businesses. At Hatch we care about creating solutions which provide accessible, transparent, and fair access to financial products. Our team is spread across the US and Canada, with a physical  office in San Francisco and more opening around the country soon. Our company is growing and we’d love for you to grow with us!

Opportunity
As one of the first Data Scientists at Hatch, you will help set the foundations for the data team. You will engineer features, build, train, test, evaluate, and implement models, interpret data, analyze results, build dashboards and reports, and provide actionable insights and conclusions in order to support teams cross-functionally. This will be a high visibility role that will add significant value to every part of our company to support our goal of helping small business owners (SMBs) scale and grow.

If you are someone who enjoys uncovering complex problems, is a systems-thinker, has a passion for operations and process, thrives at the intersection of business needs, customer experience and technology/innovation -- then we would love to meet you!

Data and Analytics
The data Team at Hatch is small, but strong and expanding quickly. We use Python and SQL to deep dive into data while using various other technologies to investigate further if needed. The company uses Segment, Fivetran, and Mode for data instrumentation, and business analytics (but we’re always evaluating new vendors).

The ideal candidate will have:

5+ years working experience as a Data Scientist, Data Analyst, Business Data Analyst, or in another relevant role
Experience building and implementing production-facing machine learning models
Experience in designing and building out foundational Data Science infrastructure and tooling
Strong knowledge of and experience with databases and query languages (SQL, etc.), as well as familiarity with scripting languages to analyze data and build models (e.g. Python, Julia, R)
Experience building Business Intelligence dashboards and reports, as well as working with cross-functional stakeholders
The ability to work and thrive in a small group: strong communication, collaboration, and empathy

You will succeed in this role if you:

Have experience working with cross-functional teams to implement strategies and provide recommendations based on data findings
Have strong analytical, relationship and project management skills for driving a variety of programs
Have experience with analyzing and conducting hypothesis driven experimentation
Demonstrate resourcefulness and comfort with ambiguity—we won't know the answers to everything, but we'll figure it out together

We’d love to have you apply, even if you feel unsure about whether you meet every single requirement in this posting

What You Can Expect
You can expect to familiarize yourself with our databases, tables, and your team in the first week. You can expect to work directly with the Data and Engineering teams on a daily basis, and partner with your lead to help you if you get stuck. You can also expect to get a good grasp on understanding our users, how Hatch works and how small business banking and credit also work!

After one month, you should be able to engineer features, train and test models for a variety of business applications (e.g. credit underwriting, fraud detection, growth), as well as be able to deliver meaningful metrics, reports, and data visualizations to different stakeholders and for a variety of teams/departments.

We’ll have a collaborative team session to go through your code and model/analysis. By the end of your second month, you should feel empowered to improve internal processes and models to drive efficiency and increase conversion rates. By this time you’ll also be owning and tackling problems from inception to implementation.

Benefits Offered
•  Best-in-class Platinum HMO and PPO Health plans. Fully covered Beam Dental and VSP Vision insurance.
•  401k plan with 4% company matching.
• Monthly subsidy for health and wellness.
• Monthly subsidy for transit and commute.
• Untracked, flexible vacation policy (we encourage folks to take one week a quarter.)
• The Hatch Match: Annual donation match to a charity of your choice.

Hatch does not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.


Lead Data Scientist

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

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)


Data Scientist

JW Player powers billions of video plays every week across a wide spanning web of broadcasters and video publishers with a diverse set of audiences and content types. Leveraging the vast stream of data sent by our flagship player, the Data Science team works in close collaboration with adjacent teams to improve our existing products, drive sound decision making, and develop new data products that bring value to our customers in both the video publishing and video advertising spaces. We iterate quickly, conduct frequent experiments, and seek to be data driven in everything we do.
As a Data Scientist at JW Player, you will be joining a collaborative, creative, multidisciplinary team of scientists, engineers, and data analysts responsible for research and development, product analytics, and running production machine learning models that make tens of millions of predictions every day.
As a Data Scientist, you will:

Develop and support predictive models used millions of times daily
Leverage data to research, envision, and implement improvements to JW products
Envision and define requirements for new data sources
Work with engineers to envision and build end to end solutions
Work with Product Managers to answer key questions about JW Player products
Plan, execute, and analyze controlled experiments
Influence the direction of the business by effectively communicating results to cross functional groups
Democratize data by building and sharing tools and dashboards
Provide expertise on machine learning concepts for the broader Data Team and inspire the adoption of data science across the entire breadth of our organization

Who You Are:

3+ years experience of bringing data science products into production
An advanced degree in an analytical field such as (but not limited to!) statistics, computer science, mathematics, operations research, engineering, natural sciences, economics
Fluency in Python and libraries such as pandas, numpy, scipy, & scikitlearn
Strong knowledge of statistical modeling, machine learning
High proficiency with SQL and relational databases
Strong data visualization skills
Good organization skills, ability to lead multidisciplinary projects
A strong ability to tell stories with data, including for non-technical audiences
Strong business knowledge

Bonus Points:

Experience building analytics pipelines with tools like Airflow and/or dbt
Experience with deep learning frameworks like Tensorflow
Experience with Looker
Knowledge of video, video advertising
Familiarity with big data tools like Spark and Presto

About JW PlayerJW Player pioneered video on the web over a decade ago and continues to innovate as the world’s largest network-independent platform for video delivery and intelligence. Media companies including Fox, VICE, Business Insider, and Univision, in addition to hundreds of thousands of creators of all types and sizes, rely on JW Player to deliver and monetise their content across all devices. JW Player’s massive global footprint of over 2 billion unique devices creates a powerful data graph of unique consumer insights and generates billions of incremental video views. The company is headquartered in New York, with offices in London and Eindhoven, and was named to Deloitte’s Technology Fast 500™ in 2018. For more information, visit http://www.jwplayer.com.
Our Perks
When you join JW Player, you are not just joining a company or a team but a family. Our goal is to take care of you and ensure you will be successful in your new role. Your success is our success. When you join us, your benefits kick in from day one!

Medical, Vision and Dental Coverage through Empire BlueCross
Open PTO Policy - Self care is IMPORTANT!
Development Program
An opportunity to make an impact in a fast paced environment
Bi - Annual Hack Weeks
AMA (Ask Me Anything) and Fireside chats with Executives & JW Player family

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
#jwplayer #datasciencecareers #hiring #usjobs #datascience #remote


Data Scientist

We're Karat, the leader in technical interviewing

Karat’s purpose is to Unlock Opportunity for engineers and companies alike, and our mission is to make every interview predictive, fair, and enjoyable. As the world’s technical hiring expert, we help companies hire smarter and grow faster, and create more opportunities for software engineers. From our industry-leading solutions to Karat’s Brilliant Black Minds program, the work we do here matters. We’re a passionate, smart, and committed team, and we want you to join our mission!
Come join our Data Science team
Our Data Science team is committed to partnering in exploratory data analysis, conducting experimentation, and building and automating data-driven product features. We conduct research and development needed to make technical interviews more predictive. Working on the Data Science team, you will shape the future for the intelligence and efficiency of our product.
What you will do
As a Data Scientist at Karat, you will collaborate with Data Analysts, Data Engineers, and Software Engineers to design, implement, and scale our data processing and modeling platforms. You will be responsible for determining the feasibility of producing predictive models from available data to meet specified product requirements.
Karat’s HQ is based in Seattle, Washington, but we are open to remote candidates for this role (within the U.S.). Immigration sponsorship is not available for this position.

Identify experimentation, automation and efficiency needs for Karat's business and product teams, understanding their goals and metrics in order to conduct research to identify potential solutions.
Design, build, and deploy efficient and reliable cloud-based data modeling pipelines to deliver automation and predictive modeling services.
Help refine our interview data processes to increase the signal captured in every minute of our interviews and maximize the value provided to our customers.
Investigate new data sources and methods for combining multiple data sources to support new types of data analysis, modeling and new product features
Identify methods for automating existing manual business processes
Help manage and advance our experimentation platform to support testing new features and making intelligent product development decisions
Protect Karat's data processes against quality issues. Design and develop data modeling performance monitoring.
Support our engineering teams by reviewing code and designs as-needed
Nurture data conversations within Karat by educating teammates about data science and machine learning.

The experience you will bring

3+ years of tech industry experience in data science, machine learning, software engineering, or other related roles
Bachelor’s degree in Economics, Statistics, Computer Science, Operations Research, Engineering, a natural science or equivalent quantitative subject (or equivalent experience) preferred
Proven experience applying machine learning to solve business prediction and automation challenges
Strong data analysis and scientific thinking skills
Experience with Python and related data science and machine learning libraries a plus
Significant experience with relational databases with a strong knowledge of SQL and data modeling best principles
Experience with data visualization and presentation, data analytics and BI tools, and cloud services
Experience with — and a knack for — communicating technical work to partners
Professional familiarity with marketplaces solving problems at the intersection of supply and demand a plus

Benefits of joining Karat
Karat strives to offer everything you need to best support you today, tomorrow, and beyond. We’re proud of our current offerings, and highlight some of our team’s favorites below. There are more, just feel free to ask!
Compensation / Time Off:

Highly competitive salary and stock options
Generous paid PTO (see below) and Sick Leave (10 days per year)
Flexible Time Off Policy for salaried positions
Three weeks accrued per year for hourly positions
Parental Leave (12 weeks paid with transition back to work in part-time capacity)
18 paid Company Holidays for 2021

Benefits / Wellness:

Medical, dental, and vision insurance via Cigna or Kaiser (for CA-based employees)
100% premium covered for employees
70% premium covered for dependents
FSA, STD, LTD, Standard Life Insurance, and Optional Life Insurance
Mental Wellness offerings such as Calm, Happify, Talkspace, Modern Health, and more
$150 per month contribution to miscellaneous benefit/wellness of employee’s choice

Learn more about us

Statement of Non-Discrimination:
In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at Karat.
We value a diverse workforce: people of color, womxn, and LGBTQIA+ individuals are strongly encouraged to apply.
If you have a disability or special need that requires accommodation, please let us know at people@karat.com.


Data Scientist Workforce Planning And Analytics

We Are Hiring
Data Scientist
Workforce Planning and Analytics
Full-Time, Days
Remote / Virtual
Do you have experience with statistical programs? Our team wants to speak with you! We are seeking a Data Scientist to join our Workforce Planning & Analytics team. You will support deep dive data analysis, communicate trends to leadership, and identify issues relating to systems and processes for organizational support.
What You Will Do
As a Data Scientist with Ascension, you will have the opportunity to develop predictive and prescriptive analytics models, creating efficient algorithms, and innovating use of data.
Responsibilities:
Integrates data from multiple sources and supports/performs complex statistical data analysis including multivariate statistical analysis, multilevel modeling, dyadic analysis and/or coarsened exact matching analysis.Analyzes complex business and competitive issues and discerns the implications for systems support.Identifies, defines, directs and performs project issue analysis to resolve issues, including analysis of technical and economic feasibility of proposed data solution.Communicates highly technical information to numerous audiences, including senior management, the user community, and less experienced staff.Presents data to drive business decisions.Proposes and leads projects required to support the development of the organization's data infrastructure needs.
What You Will Need
Education:
High school diploma/GED with 2 years of experience, or Associate's degree, or Bachelor's degree required.
Work Experience:
3 years of experience preferred.
Additional Preferences
Education:
Bachelor's or Master's Degree strongly preferred.
Work Experience:
1-3+ years of Data Science experience preferred.Experience with Python and R strongly preferred.
Why Join Our Team
When you join Ascension, you join a team of over 160,000 individuals across the country committed to a Mission of serving others and providing compassionate, personalized care to all. Our inclusive culture, continuing education programs, career coaches and benefit offerings are just a few of the resources and tools that team members can use to create a rewarding career path. In fact, Ascension spent nearly $46 million in tuition assistance alone to support associate growth and development. If you are looking for a career where you can grow and make a difference in your community, we invite you to join our team today.
Equal Employment Opportunity Employer
Ascension is an equal opportunity employer (EEO) and affords equal opportunity to all associates and applicants without regard to race, color, religion, national origin, gender identity, sexual orientation, age, physical or mental disability, veteran status, genetic data, or other legally protected status.For further information regarding your EEO rights, click on the following link to the “EEO is the Law” poster:http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdfEEO is the Law Poster SupplementPlease note that Ascension will make an offer of employment only to individuals who have applied for a position using our official application. Be on alert for possible fraudulent offers of employment. Ascension will not solicit money or banking information from applicants.
This employer participates in the Electronic Employment Verification Program. Please click the E-Verify link below for more information.E-Verify


Senior Data Scientist

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.