Data Scientist Content Modeling

At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we work to change the way the world reads by building the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals, and more. In addition to works from major publishers and top authors, our community includes over 1.5M subscribers in nearly every country worldwide.

About the team:
Applied Research Content Modeling is a team of data scientists who extract quantitative understanding from the complex unstructured data in our growing corpus of varied multi-modal content. We are a world class AI/ML organization whose mission is to break new ground in how our customers discover content.

We are skilled in employing a diversity of methods from metadata extraction, natural language processing, computer vision, to classification. We build the rich semantic connections between our content and our users. We strive to know our users better than they know themselves, enabling us to transform personalized discovery experiences.

We are a full-stack data science team that runs exploratory analyses, sizes business impact, creates data pipelines, presents projects, and builds models from research prototype to production system serving product features. We work on Scribd’s unique and massive dataset consisting of hundreds of millions of documents, books, audiobooks, articles, slides and podcasts.

You will:
- Build ML models in Python and Spark
- Leverage state-of-the-art models using deep learning frameworks such as PyTorch and Tensorflow
- Work with Senior Data Scientists to operationalize data science projects
- Educate stakeholders through written and verbal communications methods on the approaches and results of projects, while writing detailed, accurate and concise project write ups
- Investigate methods of solving our most challenging problems at Scribd.

You Have:
- 1-2 years of experience deploying machine learning models (natural language processing experience preferred)
- Beginner level or greater experience with SQL and Spark
- Intermediate to advanced knowledge with Python
- Intermediate level in at least one of these fields: natural language processing, deep learning, computer vision, and bayesian or frequentist statistics
- A keen interest in learning what’s necessary to solve a business problem and make a positive business impact.
- Bachelors or Masters in relevant quantitative discipline (e.g. Computer Science, Software Engineering, Data Science, Machine Learning, Artificial Intelligence, Computational Linguistics, Mathematics, Statistics)

Benefits, Perks, and Wellbeing at Scribd

• Healthcare Benefits: Scribd pays 100% of employee’s Medical, Vision, and Dental premiums and 70% of dependents
• Leaves: Paid parental leave, 100% company paid short-term/long-term disability plans and milestone Sabbaticals
• 401k plan through Fidelity, plus company matching with no vesting period
• Equity - Every employee is an owner in Scribd!
• Generous Paid Time Off, Paid Holidays, Flexible Sick Time, Volunteer Day + office closure between Christmas Eve and New Years Day
• Referral bonuses
• Professional development: generous annual budget for our employees to attend conferences, classes, and other events
• Company-wide Diversity, Equity, & Inclusion programs which include learning & development opportunities, employee resource groups, and hiring best practices.
• Learning & Development and Coaching programs
• Monthly Wellness, Connectivity & Comfort Benefit
• Concern mental health digital platform
• Work-life balance flexibility
• Company events + Scribdchats
• Free subscription to Scribd + gift memberships for friends & family

Want to learn more? Check out our office and meet some of the team at www.linkedin.com/company/scribd/life

Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.


Senior Applied Data Scientist

What we do
At Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest progressive social causes.
This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on.
We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions.
Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack.
Learn more about Civis at www.civisanalytics.com.
All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review. Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles.
What we are looking for
The Applied Data Science (ADS) Team is the advisory arm of Civis Analytics, working closely with governments, companies, nonprofits, and campaigns to help solve their toughest challenges with data science. They are critical components of the project team and are expected to take leadership in understanding how to design and implement data science solutions for each client’s unique situation.
As a Senior Applied Data Scientist, you will structure hard problems, define our methodological approach, collaborate in cross-functional teams, and be responsible for project milestones and presentations. You will also be a mentor to other data scientists, potentially managing newer hires, contributing to internal assets, and fostering learning and collaboration. You will work closely with our Applied Data Science Leads and our Director to develop relationships, partnerships, and proposals for new governmental work, and may take responsibility for entire projects or accounts as you grow in your role.
Responsibilities

A Senior ADS runs the end-to-end execution of client engagements utilizing data science, which includes:

Handling client relationships and communication on day-to-day projects and initiatives, with stakeholders of varying technical experience or familiarity with methods
Leading and structuring project research design, including statistical analysis, data visualization approaches, and data management methods, and working with cross-functional teams of data scientists, data engineers, and data analysts where necessary to create and implement solutions
Translating findings into clear, actionable, and timely insights with the appropriate business context

Other job responsibilities of a Senior ADS include:

Creatively identifying opportunities in the solution delivery process for scalable applications, and collaborating with other teams to further construct these tools
Assisting ADS Leads in new business development by scoping projects, writing proposals, and building case studies and other collateral
Maintaining a continuous and independent education of cutting-edge statistical techniques and programming languages
Teaching and mentoring more junior Applied Data Scientists

Minimum Qualifications

Bachelor’s degree in an analytical subject (statistics, math, biostatistics, epidemiology, political or social science, computer science, etc.)
5+ years of work or post-graduate experience in a field of analytical science
Shown affinity for and experience working with large or messy data sets
Proficiency with statistical programming languages (R, Python, etc.) and proven ability to work pragmatically with statistical concepts
Proficiency with presentation or data visualization software, such as Tableau, Shiny, etc.
Familiarity with modeling techniques, including predictive analytics
Excellent interpersonal and communication skills
US work authorization
Salary for this role is 100-103K base.

Preferred Qualifications

MA or MS in an analytical subject
Experience leading projects, including managing the work of colleagues
Proven affinity for and experience mentoring teammates
Experience with analytics for the public sector
Experience with collaborative coding tools including Docker and Github

Who we are
Civis offers opportunities for newcomers, seasoned professionals, and anyone in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily, and we trust and encourage you to act on your ideas—no matter how big they are.
We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo, and finding new ways to help our company—and each other—grow.
Why join our team?

The opportunity to be part of a growing tech startup focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal, and inclusive workplace.
Competitive benefits, including unlimited PTO; 401K match with immediate vesting; health, dental, and vision benefits; fully paid parental leave; breastfeeding support, including breastmilk shipping services for traveling moms; commuter benefits; wellness initiatives, including weekly group meditations; monthly on-site massage therapy; and pet insurance.

To support employees in our now-fully remote work environment, we have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (five-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-ups where we discuss ideas and topics of the day in a casual format). We are also able to support and accommodate flexible work from-home-schedules to help employees juggle their domestic responsibilities.

Civis embraces the individuality of our employees, and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our Civis community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or veteran status. If you have a disability or special need that requires accommodation, please contact us internalrecruiting@civisanalytics.com.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
EEO IS THE LAW
EEO Supplement
Pay Transparency


Applied Data Science Political Internship Summer

What we do
At Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest progressive social causes.
This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on.
We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions.
Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack.
Learn more about Civis at www.civisanalytics.com.
All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review. Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles.
What we're looking for
Civis Analytics is looking for Applied Data Science interns to join our ADS practice and help us solve some of the most challenging and interesting questions facing organizations today.
The Applied Data Science (ADS) Team is the advisory arm of Civis Analytics, working closely with governments, companies, nonprofits, and campaigns to help solve their toughest challenges with data science. They are critical components of the project team and are expected to take leadership in understanding how to design and implement data science solutions for each client’s unique situation.
While this is a politically-focused role, individuals have succeeded in this role with a range of backgrounds outside of direct campaign experience, including academic experience in political science or statistical research. Members of our team have educational backgrounds in physics, political science, philosophy, and more.
Minimum Qualifications

2023 graduate pursuing an undergraduate degree in social science, mathematics, statistics or a similarly analytical subject
A demonstrated history of using data in research or applied settings to solve complex problems or make strategic decisions
Demonstrated passion for progressive causes, political data, and/or campaigns
Experience identifying, working with, and adapting to imperfect data
An ability and eagerness to constantly learn and teach others
Demonstrated ability to work independently and in teams
Experience with statistical packages (R, Python, etc) and statistical concepts
Ability to communicate complex analysis to differently technical audiences through strong written and oral communication skills
Resourceful - not easily deterred by setbacks

Preferred Qualifications

Experience with data cleaning, wrangling
Proven track record of working with ambiguous problems
Experience or expertise with SQL
Experience putting together and giving client-ready presentations

Who we are
Civis offers opportunities for newcomers, seasoned professionals, and anyone in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily, and we trust and encourage you to act on your ideas—no matter how big they are.
We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo, and finding new ways to help our company—and each other—grow.
Why join our team?

Remote internship opportunity
Paid internship - $25.00/hr
Weekly lunch & learns
The opportunity to be part of a growing tech startup focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal, and inclusive workplace.

Civis embraces the individuality of our employees, and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our Civis community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or veteran status. If you have a disability or special need that requires accommodation, please contact us internalrecruiting@civisanalytics.com.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
EEO IS THE LAW
EEO Supplement
Pay Transparency


Applied Data Science Internship Summer

What we do
At Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest progressive social causes.
This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on.
We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions.
Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack.
Learn more about Civis at www.civisanalytics.com.
All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review. Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles.
What we're looking for
Civis Analytics is looking for Applied Data Science interns to join our ADS practice and help us solve some of the most challenging and interesting questions facing organizations today.
The Applied Data Science (ADS) Team is the advisory arm of Civis Analytics, working closely with governments, companies, nonprofits, and campaigns to help solve their toughest challenges with data science. They are critical components of the project team and are expected to take leadership in understanding how to design and implement data science solutions for each client’s unique situation.
Minimum Qualifications

2023 graduate pursuing an undergraduate degree in social science, mathematics, statistics or a similarly analytical subject
A demonstrated history of using data in research or applied settings to solve complex problems or make strategic decisions
Experience identifying, working with, and adapting to imperfect data
An ability and eagerness to constantly learn and teach others
Demonstrated ability to work independently and in teams
Experience with statistical packages (R, Python, etc) and statistical concepts
Ability to communicate complex analysis to differently technical audiences through strong written and oral communication skills
Resourceful - not easily deterred by setbacks

Preferred Qualifications

Experience with data cleaning, wrangling
Proven track record of working with ambiguous problems
Experience or expertise with SQL
Experience putting together and giving client-ready presentations

Who we are
Civis offers opportunities for newcomers, seasoned professionals, and anyone in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily, and we trust and encourage you to act on your ideas—no matter how big they are.
We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo, and finding new ways to help our company—and each other—grow.
Why join our team?

Remote internship opportunity
Paid internship - $25.00 /hr
Weekly lunch & learns
The opportunity to be part of a growing tech startup focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal, and inclusive workplace.

Civis embraces the individuality of our employees, and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our Civis community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or veteran status. If you have a disability or special need that requires accommodation, please contact us internalrecruiting@civisanalytics.com.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
EEO IS THE LAW
EEO Supplement
Pay Transparency


Research Scientist Machine Learning

Company Overview
Graphika’s mission is to map the world’s social media networks, so that online spaces can thrive authentically. We create large-scale, in-depth maps of social media landscapes and conversations to help businesses discover how communities form online and how influence and information flows within large scale networks. Founded on the pioneering work of social and network science scholars, Graphika uses deep learning to identify the people, connections, messages, and conversations online that matter for customers from Facebook and Twitter, to T-Systems and ABinBev. Our interdisciplinary team uses our unique, patented set of technologies and tools to create and apply new, rigorous analytical methods that enable customers to engage in online communities meaningfully to grasp opportunities or mitigate risk online. Our work has informed the U.S. Senate Select Committee on Intelligence on election interference.
About The Role
Graphika seeks a research scientist with experience in machine learning to join our applied science team. We work at the cutting edge of computational social science to develop new methods for network and narrative analysis, integrate those methods into our product, and share our results with the wider scientific community. As a research scientist, you will construct machine learning models to answer challenging social science questions on top of large social media datasets. You will work closely with our analyst team to develop models that support their discovery of insights and narratives (including disinformation narratives) in social systems. You will also work closely with our data systems team to construct pipelines for scaling and productizing these models. This is a part-time contractor or part-time or full-time employee role.
Areas of Responsibility

develop machine learning models for applications such automated cluster labeling, narrative extraction, and stance detection
implement machine learning models in robust, scalable code for further pipelining and productization
contribute to patent applications based on your work (you will be listed as a co-inventor on the resulting patents)
contribute to novel grant proposals in computational social science
collaborate with external researchers in the field on via funded grants and publications

Ideal Candidate Profile
You have experience developing machine learning models for social science applications, including but not limited to: social network analysis, natural language analysis, statistical or agent-based models of social systems. You have experience implementing these models in code in a collaborative environment, working with a team to optimize your code and adhere to best practices. You are comfortable applying your technical expertise to new domains. You love to take on complex problems, and can work independently. You have a working knowledge of computer science fundamentals like algorithms, data structures, and time complexity.
You think beyond the task at hand and try to understand the 'why' behind what you are doing. You can maintain a focus on the applied outcomes of your research,  understanding that done is often preferable to perfect.
You are an enthusiastic teammate, who engages in collaboration and proactive discussion. You are an effective communicator who can clearly describe technical concepts for different audiences -- for example, you can explain the significance of your work both to a fellow researcher and to a product specialist. You work with confidence and without ego. You have deep knowledge and exercise a high degree of ownership in your daily work. You have loosely-held, defensible ideas, and advocate for what you believe is right. You can surface your unarticulated assumptions. You are also adept at identifying and evaluating trade-offs, willing to be proven wrong, and quick to support your fellow teammates.
Qualifications
Required:

Experience in developing machine learning models in an applied, collaborative environment with actionable outputs
Experience writing robust scalable code in Python that is understandable, testable, and has an eye towards maintainability
Experience collaborating with a multidisciplinary team and juggling multiple research priorities
Experience generating research outputs (reports, scientific papers) from technical work
Ability to work legally in the US without visa sponsorship

Nice to have:

Experience with social science applications of machine learning models
Experience developing production engineering code in an industry environment
Experience with deep learning models
Experience with social network analysis
Experience contributing to scientific grant proposals
Experience working on patent applications
Ph.D. in a social science or computer science field

All Graphika Tech Team Members...

Understand and appreciate good software engineering practices, including version control, code reviews, testing, and refactoring
Are comfortable debugging and optimizing code
Write tests to make sure code is reliable
Help shape technical decisions within the team
Collaborate within and across departments to ensure successful product creation
Have the ability to pick up new tools and technologies as needed

Education Requirements:

Master's degree or equivalent work experience
Salary commensurate with experience

Benefits

Unlimited Paid Time Off (PTO), with a company-mandated minimum of 10 days of vacation time taken per year; There are also a minimum of 12 Graphika holidays
100% healthcare (health, vision, dental) premium coverage for employees; 50% premium coverage for families
401(k)
Access to Samata Health Therapy Platform, with six free sessions for all Graphikans
Remote personal office setup stipend + 20% of home internet costs covered

Location
Prior to COVID-19, Graphika's technology team was mostly co-located in our NYC office but continues to be fully-distributed today. As a result, we are happy to consider applicants who are located in the continental US, with the caveat that the technology team works on Eastern time and begins their day at around 10 AM. Daily Standup is at 10:30 AM EST.
Graphika is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.


Machine Learning Researcher

Lambda's mission is to accelerate human progress with computation. Our deep learning systems push advancements in quantum computing, cancer detection, autonomous aircraft, drug discovery, self-driving cars, and much more. Our customers include Apple, Intel, Microsoft, Amazon Research, Tencent, Kaiser Permanente, MIT, Harvard, Stanford, Caltech and the Department of Defense.
Our Machine Learning team's mission is to bring world-class ML expertise to our products and services. The team plays a significant role in Lambda’s consultancy arm -- a group of engineers and researchers with deep experience in machine learning, software engineering, and computing infrastructure. We work innovatively on exciting new technologies to keep our services and our customers ahead of the competition.
About the Role
We are hiring a machine learning researcher to work on applied research. You will join a lean ML team and have a strong impact on both external consultancy projects and internal research and development. Your main responsibilities are:

Help the team to identify, implement and test technical solutions for Lambda’s consultancy projects.

Prospect ideas for internal projects and help the team to create IPs in the form of scalable services, licensable tools and custom models.

What You’ll Do

Contribute to our machine learning consultancy projects with applied research.
Conduct, document and reduce the turnaround cycle of our ML experiments. Present the findings to your peers and customers in a clear and concise manner.
Contribute to internal development of scalable services, licensable tools and custom models.
Bring machine learning insights to our sales engineers and customers in the forms of technical blogs, benchmarks, or research publications.
Propose and lead your own research project.

You

Have an MS or PhD degree in EECS or related field, or equivalent work experience.
Are a highly effective team collaborator and strong communication skills

Have a proven track record of optimizing state-of-the-art machine learning methods in terms of quality, speed, memory footprint or scalability.

Have a proven track record of managing large datasets and experiments.
Have a proven track record of writing reproducible ML code and significant contribution to open source projects.
Have knowledge of machine learning theory.
Have proficiency with Python and major ML frameworks such as PyTorch or TensorFlow.

Nice to have

Participated in research work published by major conferences/journals in ML or related fields.
Experience in running ML jobs distributedly at scale, or highly efficiently on custom edge devices.
Experience in CUDA programming
Experience in MLOps
Experience in full stack software development

About Lambda

We offer generous cash & equity compensation.
Investors include Gradient Ventures, Google’s AI-focused venture fund.
We are experiencing a high rate of growth and have 10x’d over the last 3 years.

Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG.

We have a wildly talented team of 60, and are growing fast.
Our remote workforce, based on role, is across the U.S., with headquarters in San Francisco.
Health, dental, and vision coverage for you and your dependents.
Commuter/Work from home stipends.
401k Plan.
3 weeks Annual Paid Time Off.

A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda Labs is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.


Senior Data Scientist Marketing

See yourself at Twilio
Join the team as our next Senior Data Scientist, Marketing.
Who we are & why we’re hiring
Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences.
Although we're headquartered in San Francisco, we're on a journey to becoming a globally antiracist company that supports diversity, equity & inclusion wherever we do business. We employ thousands of Twilions worldwide, and we're looking for more builders, creators, and visionaries to help fuel our growth momentum.
About the job
Twilio is growing rapidly and seeking a Senior Data Scientist to accelerate the growth and efficiency of our sales-funnel. Reporting to the Marketing Analytics Lead, you will be working closely with various marketing partners to jointly drive improvements and results not just at the top-of-funnel, but across our sales motion. This includes enhancing campaign attribution, improving metrics and measurement frameworks, analyzing marketing performance results, and recommending growth opportunities to take the business forward.
Responsibilities
In this role, you’ll:

Develop insights and recommendations through exploratory analysis, hypothesis testing, analyzing results from experimentation, and building models
Work with cross-functional partners in Marketing to define metrics, forecast their targets and refine the attribution framework to achieving them
Creatively leverage new and existing data to increase the effectiveness and efficiency of our decision-making infrastructure
Define and monitor key metrics and market intelligence to derive insights and identify opportunities for evolving products.

Qualifications
Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Have 6+ years of work experience, particularly at technology startups and at least 2+ years in the marketing domain
BS/MS in a quantitative or technical field
Expert level SQL skills and dash-boarding skills in tools like Looker or Tableau
2+ years of experience with metrics, A/B testing and experimentation
Have strong business acumen and a deep sense of curiosity
Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives
Familiarity with statistical modeling and statistical programing languages like Python or R is a plus

Location
This role will be remote based in the USA.
What We Offer
There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!
If this role isn't what you're looking for, please consider other open positions.

Colorado applicants:

The estimated pay range for this role, based in Colorado, is $96,096 - $151,008.

Additionally, this role is eligible to participate in Twilio's equity plan.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the state. This role is also eligible to participate in Twilio’s equity plan and for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.


Senior Data Scientist Talent

At Cameo, we make impossible connections possible. Our platform allows fans to get personalized messages from their favorite comedians, actors, athletes, and more.... not gonna lie, it’s pretty magical. And now we’re looking for passionate, hardworking humans to help take Cameo to the next level.
�� Our #Fameo means everything to us. Join a stellar team of smart, curious, and driven individuals, and experience a rocketship from its earliest days.
�� Best in class. We’ve been named one of LinkedIn’s Top 50 Startups to Work For, voted one of America’s Best Startup Employers by Forbes, and the #1 Most Innovative Social Media Company by Fast Company.
�� Work from anywhere in the U.S. We’re a remote first company with an entirely distributed team.
��Get all good stuff. Health insurance, 401(K), access to resources of a top tech incubator, and opportunities to connect with Talent on Cameo (looking @ you, Snoop Dogg).
Come to work every day knowing your efforts will have a material impact, shaping the direction of the next outstanding tech company!
The Team - Talent Data Science
Cameo is committed to making data and data science a core competency and source of competitive advantage. The Talent Data Science team is at the heart of that effort. Our mission is to understand how Cameo’s marketplace works and turn that understanding into impactful insights for three core customers:

 Talent - the famous people on Cameo
 Talent Acquisition - the people who bring new Talent to Cameo
 Talent Relations - the people who Roll out the Red Carpet for Talent every day

To do this, Talent Data Science develops unique data sets, analyses structured and unstructured data, and synthesizes business-changing insights in terms our customers understand. We measure our success based on whether our recommendations are adopted and ultimately move the needle for both talent and Cameo. The types of questions Talent DS answers include: what is the ideal price for a Talent? Which Talent should we bring onto the platform next? What can Talent do to improve fan happiness? What’s the best use of our Talent Relations team’s time?
The role
This role is ideal for an experienced, client-centric data scientist who can operate comfortably in both technical and non-technical realms and distill complex analyses into concrete advice for the business. You will be responsible for identifying and scoping projects, setting success measures, designing and conducting experiments and analyses, and working between the business and data infrastructure teams to ensure your findings get into production and improve talent performance. You should be comfortable operating across the technical stack. This role will work closely with teams whose objectives are to support the Talent on Cameo at scale via recommending product changes and providing automated insights to Talent.
What you’ll do

 Be a trusted thought partner to Cameo’s Talent Success organization
Originate and execute strategic analyses that inform key business and product decisions
Synthesize findings for a wide array of internal and external audiences
Drive innovation into the product and business processes that support Talent
Perform ad-hoc analyses and build self-service tools to support the Talent Success team
Build models to provide advice to Talent on how to improve their performance on the platform
Partner with data and product engineers to to implement the needed infrastructure to support on-going operations

What you bring to the table

5+ years experience in data science
Fluency in modern programming paradigms and data manipulation. Fluency in Python, SQL, and Tableau or Looker preferred.
High energy, positive attitude and commitment to Cameo’s values
Comfort working in a demanding, fast-moving, and fully-remote environment
Experience structuring and delivering strategic projects, leveraging advanced technical methodologies
Knowledge of how to craft a compelling narrative from analytical insights
Comfort presenting insights in an understandable way to all types of stakeholders (Talent, Executives, technical teams, front-line colleagues)
Intrinsic motivation and ability to learn new skills
Curiosity about how Cameo’s three-party market works for all parties

Cameo is an equal opportunity employer. We are committed to creating an inclusive and welcoming environment for every person who walks through our doors. All employment is decided on the basis of qualifications, merit, and business need. Cameo celebrates and embraces diversity.
Please consult the Notice to California Residents contained in Cameo's Privacy Policy available at https://www.cameo.com/privacy for information regarding your rights under the California Consumer Privacy Act if you are a California resident.
We are working on becoming compliant with Colorado regulations. Until then, this role can not be performed in Colorado.


Staff Data Scientist

[As of June 2020, Quora has become a "remote-first" company.  This position can be performed remotely from anywhere in the world, regardless of any location that might be specified above.]
About Quora:
The vast majority of human knowledge is still not on the internet. Most of it is trapped in the form of experience in people's heads, or buried in books and papers that only experts can access. More than a billion people use the internet, yet only a tiny fraction contribute their knowledge to it. We want to democratize access to knowledge of all kinds — from politics to painting, cooking to coding, etymology to experiences — so if someone out there knows something, anyone else can learn it. Our mission is to share and grow the world's knowledge, and we're building a world-class team to help us achieve this mission.
About the Team:
The Data Team is highly empowered at Quora, helping navigate complexity and influencing product and company strategy directly. Quora's outsized commitment to data is visible in everything we do, from our rigor-driven experimentation processes to the backgrounds of our leaders. With this emphasis on data and empirics, we aim to balance rigor and pragmatism, searching for scrappy solutions in pursuit of our mission. In joining Quora's strong data team, you'll both benefit from and work to advance our culture of rational decision making.
About the Role:
As a data scientist at Quora, you'll work closely with product managers, product designers, and engineers to devise appropriate measurements and metrics, design randomized controlled experiments, build visualizations, and tackle hard, open-ended problems that uncover usage patterns and opportunities for the company. Quora has a wide range of rich data, giving you ample room for exploration and creativity. Examples of some projects our data scientists have worked on include modeling our long-term growth, improving the relevance and personalization of the homepage feed, and exploratory analysis of factors driving question-asking behavior. For more about our work, see Quora's Data blog at https://data.quora.com/.
As a staff data scientist, you will draw on your experience to excel not only in your own work but also to elevate data’s impact at a company-wide level. You will provide team mentorship that propels the work of your colleagues while helping to establish best practices for data usage across Quora.
Responsibilities:

Extract actionable insights from broad, open-ended questions
Create, design, and evaluate experiments to measure the impact of product changes
Analyze data from across the product to uncover the root causes of metric movements
Communicate data-driven results to cross-functional stakeholders to inform product decisions
Develop tools to scale and automate analyses, improving productivity across the company
Improve the work of other data scientists through mentorship and by bringing industry best practices to the team

Minimum Qualifications:

Ability to be available for meetings and impromptu communication during Quora's "coordination hours" (Mon-Fri: 9am-3pm Pacific Time).  Learn why here
5+ years work experience in an analytical or quantitative role as a Data Scientist or similar title
3+ years experience working on product analytics
Extensive experience generating insights using statistical techniques (e.g. regression, hypothesis testing)
Demonstrated ability to clearly explain data results to cross-functional teams
Experience using a procedural programming language (e.g. Python, R) to manipulate, clean, and analyze data
Ability to exercise judgment and combine quantitative skills with intuition and common sense
Experience evangelizing best practices and process improvements on your team

Preferred Qualifications:

Experience working with large data sets and distributed computing tools (e.g. Redshift, Presto)
Experience pushing code and navigating a complex codebase
Active Quora user with curiosity about the product

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.
California Consumer Privacy Act (CCPA) disclosure
#li-remote


Senior Data Scientist

Overview
The centralized Data Science, Engineering, and Analytics team at Recharge delivers critical analytic capabilities and insights that drive the definition and implementation of our and our merchants’ business strategies. The Senior Data Scientist opportunity is ideal for someone who is passionate about data and wants to build end-to-end machine learning models. You will use customer, merchant, and product data, along with external data sources, and billions of dollars of annual processing data to identify patterns that can allow us to accurately predict consumer behavior across our entire merchant base.
As a Senior Data Scientist, you will be responsible for building models from scratch that will then be deployed into production and integrated with our merchant-facing product. You will work closely with our product, engineering, and analytics team to build products that will empower our merchants to make better decisions and grow their businesses.
What you’ll do

Live by and champion our values: #day-one, #ownership, #empathy, #humility.
Design, develop, implement, and optimize models that answer key business questions.
Build, manage and maintain end-to-end models, including data ingestion, data transformation, feature engineering, predictions, model training, hyperparameter tuning, and model deployment.
Collaborate with product managers to translate business needs into machine learning models and then identify key metrics and baseline performance to evaluate model gains.
Partner with data engineering and feature teams to gather data from a wide array of disparate sources.

Evaluate, recommend, and implement state-of-the-art tools ensuring effectiveness, scalability, and reliability across the entire. machine learning pipeline.

Manage and maintain our deployed models, including detecting model drift, implementing fixes, and improving performance.

What you’ll bring

Typically, 5+ years in a data science related role (Data Scientist, Machine Learning Engineer, Artificial Intelligence Engineer) in fast-paced environment
Track record of building, deploying, and maintaining machine learning models
Strong proficiency in Python and SQL
Experience in core mathematical concepts, and core analysis libraries (pandas, seaborn, sklearn, xgboost)
Basic familiarity with R, or another programming language
Experience with Tensorflow is a bonus
Strong communication skills and stakeholder interaction at engineering, product, and analytic team levels
M.S./Ph.D in a quantitative field


Data Scientist

Overview
The centralized Data Science, Engineering, and Analytics team at Recharge delivers critical analytic capabilities and insights that drive the definition and implementation of our and our merchants’ business strategies. The Data Scientist opportunity is ideal for someone who is passionate about data and wants to build end-to-end machine learning models. You will use customer, merchant, and product data, along with external data sources, and billions of dollars of annual processing data to identify patterns that can allow us to accurately predict consumer behavior across our entire merchant base.
As a Data Scientist, you will be responsible for building models from scratch that will then be deployed into production and integrated with our merchant-facing product. You will work closely with our product, engineering, and analytics team to build products that will empower our merchants to make better decisions and grow their businesses.
What you’ll do

Live by and champion our values: #day-one, #ownership, #empathy, #humility.
Design, develop, implement, and optimize models that answer key business questions.
Build, manage and maintain end-to-end models, including data ingestion, data transformation, feature engineering, predictions, model training, hyperparameter tuning, and model deployment.
Collaborate with product managers to translate business needs into machine learning models and then identify key metrics and baseline performance to evaluate model gains.
Partner with data engineering and feature teams to gather data from a wide array of disparate sources.
Manage and maintain our deployed models, including detecting model drift, implementing fixes, and improving performance.

What you’ll bring

Typically, 3+ years in a data science related role (Data Scientist, Machine Learning Engineer, Artificial Intelligence Engineer)
Track record of building, deploying, and maintaining machine learning models
Strong proficiency in Python and SQL
Experience in core mathematical concepts, and core analysis libraries (pandas, seaborn, sklearn, xgboost)
Basic familiarity with R, or another programming language
Experience with Tensorflow is a bonus
Strong communication skills and stakeholder interaction at engineering, product, and analytic team levels
M.S./Ph.D in a quantitative field


Data Scientist Marketing

Figma is adding to our team of passionate people who are revolutionizing the world of design. We are building a browser-based design tool that looks and feels as good as a native application and has all the additional power and advantages that come from being built upon the web platform. If you’re looking to work at a dynamic company who is building the future of design tools, welcome to Figma.

We are looking for a Data Scientist to partner with our Marketing teams to accelerate growth at Figma. In this role, you will be responsible for building models to optimize our marketing efforts, uncovering insights to guide new strategies, and collaborating with a variety of cross functional peers to help leverage data throughout the organization. The ideal candidate will have a strong track record of executing analytical projects as well as partnering closely with business peers to guide decision making.

This is a full time role that can be held from one of our US hubs or remotely in the United States.

What you'll do at Figma:

Refine attribution logic and create data-backed approaches to measure effectiveness of marketing spend
Design and evaluate conversion lift experiments to optimize campaigns and measure their incremental impact
Perform impact analysis and modeling for a variety of different marketing initiatives and projects
Evaluate and size the projected impact of new marketing strategies and how they connect to broader company goals
Develop and maintain datasets, KPIs, and reporting tools for the entire Marketing organization

We'd love to hear from you if you:

2+ years relevant work experience supporting a Marketing or similar function
Fluency in SQL
Proficiency in Python, R, or similar scripting language
Experience in distributed data processing systems (Hive, Redshift, Presto, Snowflake, etc)
Firm knowledge around statistical methods and experiment design
Excellent judgment and problem solving skills
A self-starting mindset along with strong communication and collaboration skills

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Read more about our team:

By the numbers: one year of remote work
Measuring the value of design systems
Figma’s Series D:  The Decade of Design
Figma's engineering values

About Figma
Dylan Field and Evan Wallace co-founded Figma in 2012 with the vision of building tools for designers in the browser. Their goal was to create the first design tool that combined the accessibility of the Web with the functionality of a native app. Today Figma is a platform with tools and spaces to support the entire product development process—idea to design to build—and has simplified collaboration for companies like Microsoft, Uber, and The New York Times to name a few.

At Figma, we celebrate and support our differences. We know employing a team rich in diverse backgrounds, experiences, and opinions allows our employees, products, and community to flourish. Figma is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with the applicable candidate section of Figma's Privacy Policy.


Data Scientist New Grad

Figma is growing our team of passionate people on a mission to make design accessible to all. Born on the Web, Figma helps entire product teams brainstorm, create, test, and ship better designs, together. From great products to long-lasting companies, we believe that nothing great is made alone—come make with us!

The Data Science team at Figma partners directly with our product and engineering teams to uncover insights, influence decision making, and apply a data lens to business problems critical to Figma’s growth. Our work is diverse and evolving. As a member of our team, you will have the opportunity to work on a wide range of technical challenges from data engineering, analytics, experimentation, and machine learning. We seek data scientists with strong coding and statistics fundamentals and who are excellent communicators among technical and non-technical audiences.

What you'll do at Figma:

Collaborate with cross-functional teams including Product, Engineering, Research, Design, Sales, and Marketing to turn business questions into data problems
Evaluate experiments to measure the impact of product changes
Define and surface metrics to guide decision making
Communicate and document data logging and requirements
Build models to understand user behavior and predict growth
Provide thoughtful feedback to others on the team
Help grow Figma by interviewing candidates for teams across Data Science

We'd love to hear from you if you:

Are pursuing a degree in Statistics, Computer Science, Mathematics, Economics or other quantitative field (advance degree preferred)
Have at least one previous data science internship or relevant research experience
Are proficient with basic SQL
Have experience with R, Python, or similar scripting language
Have firm knowledge around statistical methods and models
Have a self-starting approach along with strong communication and collaboration skills

In your first few months, you'll:

Work with an onboarding buddy to make your first edits to our data tables and dashboards
Start to build deep context and expertise in Figma's data and product
Deliver your first product analysis

Read more about our team:

Investing in Figma: The Decade of Design
How work is changing at Figma
Figma's next product is a multiplayer whiteboard called FigJam
Figma's engineering values
By the numbers: one year of remote work
Inside Figma: a Q&A with our 2021 interns and new grads

We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please let your recruiter know if you require accommodation.

About Figma
Dylan Field and Evan Wallace co-founded Figma in 2012 with the vision of building tools for designers in the browser. Their goal was to create the first design tool that combined the accessibility of the Web with the functionality of a native app. Today Figma is a platform with tools and spaces to support the entire product development process—idea to design to build—and has simplified collaboration for companies like Microsoft, Uber, and The New York Times to name a few.

At Figma, we celebrate and support our differences. We know employing a team rich in diverse backgrounds, experiences, and opinions allows our employees, products, and community to flourish. Figma is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with the applicable candidate section of Figma's Privacy Policy.


Data Scientist Product Analytics

Thyme Care is an oncology digital health start-up that’s focused on radically improving the cancer experience with early and ongoing intervention. We help patients, caregivers, clinicians, health plans, and employers by coordinating integrated care that leads to better results, lower costs, and aligned incentives. Every Thyme Care member is assigned a personalized team of physician-guided oncology nurses and resource specialists who provide education, guidance, and advocacy as they navigate the complex healthcare system. We facilitate quick access to quality resources and high-value care, coordinating directly with providers and offering support every step of the way. Our high-touch, tech-enabled model generates actionable insights that allow us to identify at-risk members earlier and offer them the most relevant support based on where they are in their cancer journey—closing gaps in care and eliminating excess spend.
Your Role:
As a Product Analytics Engineer at Thyme Care, you will be part of a tech team that is scaling quickly. Your focus in the role will be to deliver insights that guide the development of our core product: Thyme Box, our care navigation platform. You will also direct Thyme Care’s data-driven growth by working alongside our commercial teams as we build and launch our go-to-market strategies.
After three months on the job you will:

Understand our data ecosystem and workflows.

Translate data generated by our applications to derive insights and personalized interventions for our members.
Optimize our outreaches and improve the effectiveness of our care team.
Partner with our Clinical team to formulate metrics, measure quality and efficiency of our services, and make recommendations to our Product and Design teams for continuous iteration.
Build and refactor pipelines in our data warehouse for Thyme Box and other external data sources.
Build visualizations and share your analyses with the Product, Clinical, and Operations teams.

After six months you will:

Work closely with our Product, Clinical, and Operations teams to calculate, track, and visualize the metrics  most critical to our business.
Partner with our commercial teams to refine our data-driven growth and strategies.
Be a data model subject matter expert and spokesperson through code reviews, pairing, and training.
Empower end users to answer their own questions by enhancing our data marts and educating on our data visualization platforms.

What leads to success:

Experience. You aren’t new to the data realm and have potentially worn multiple hats as a Analytics Engineer, Data Analyst, or a Data Scientist. You must be an expert in SQL, and it will be helpful to have some experience working with dbt and python.

Net-new development. You've built and deployed impactful, production-ready data pipelines and analytics data marts.

Curiosity. You’re driven to understand how things work and love sharing that knowledge with others.

Comfort with ambiguity. You have a proven track record of success within scaling businesses, fast-paced environments, and ambitious startups. You know how to chart a course through ambiguous challenges.

Patient-first approach. You’re personally motivated by our mission to create a better cancer journey for all and excited by the tech we are building. You have a passion for seeing your work in action to solve meaningful problems.
We recognize a history of inequality in health care. We’re here to challenge these systems with a culture of inclusion through the care we give and the company we build. We embrace and celebrate a diversity of perspectives in reflection of our members and the patients our products serve. We are an equal opportunity employer.


Principal Data Scientist

About The Role
As a Principal Data Scientist in Data and Analytics Organization at DriveWealth, you will help DriveWealth discover the information hidden in our data and provide insights for our partners and partners’ clients. These insights will help our partners expand their offerings and increase their client base as well as different use cases applicable for fin-tech industry. You will collaborate and partner with different teams across the organization to collect, organize, and analyze data to derive insights that help in powering different business decisions. You will apply your knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
What You'll Do

You must be passionate and experienced in advanced analytics and deriving predictive insights for different use cases relevant to the fin-tech industry. You are passionate to stay current in Data Science, AI and ML by learning and applying the latest technologies and best practices. You will leverage cutting edge big data technologies on AWS or other leading cloud platforms.
You are able to work independently on modules and complete tasks from start to finish with minimal supervision and high quality. You are a leader and bold to seek feedback from other team members.
You will collaborate with executives, leaders and team members in business and technology to understand and translate business needs into data science use cases. You will help in identifying opportunities for DriveWealth for data monetization and also in the areas of client insights, risk management, risk modeling, asset allocation, fraud detection, compliance etc.,
You will work with your leader to define a roadmap for Data science, AI and ML at DriveWealth. You will work with your leader in establishing and growing a center of excellence for Data science, AI and ML.
You will select features, built and optimized classifiers using machine learning techniques such as random forest, xgboost, TensorFlow, Linear regression, Time series methods etc., You will research and recommend shared data science platform elements.
You will extend and enrich the company's data with external information sources as needed. You will enhance data collection procedures for information needed for analytical use cases.
You are a team player and able to work in a collaborative environment with a desire to share your knowledge and expertise. You will lead and mentor other data scientists and interns. You will work in an agile development environment. You will collaborate and work with other pillars of data and analytics organization at DriveWealth. These pillars include Data Governance and Data Architecture, Data Engineering, Business Intelligence and Data Visualization, Data and Analytics Operations.

What You'll Need

Graduate degree in a quantitative field such as computer science, mathematics, statistics, engineering.
Demonstrated ability and experience to leverage data science to drive and deliver business results. 7-10 years of data science experience in financial industry.  Any recognitions received for data science skills or research articles or publications will be a plus.
Demonstrated skills and experience in translating business problems into data science use cases and communicating results to non-technical audiences.
Experience in writing production-grade machine learning models in Python or R programming languages.
At least 4 years of experience in research projects in academic or commercial environments


Global Data Science Team Lead

Who we are
We are a climate tech company committed to reversing climate change. How do we reach this lofty goal? By disrupting the agriculture industry!
Founded by globally-recognized innovators in science and ag technology, Regrow is unlocking the power and profitability of resilient agriculture across the supply chain — from growers to global food brands. Regrow combines best-in-class agronomy, soil and carbon modeling, and innovative data collection to deliver customized, site-specific and scalable solutions to the agrifood industry.
Our customers are frontrunners in agrifood and agtech, ranging from global market operators, project developers, global food brands, and independent farmers. We help partners measure their impact on the environment, model and implement changes that will be environmentally and financially sustainable, and track partners’ progress against sustainability goals.
We're backed by leading investors, such as Microsoft's Venture Fund, Cargill, The Grantham Environmental Trust (NCO), AJAX Strategies, and more, all of whom believe in our vision to change the world through resilient agriculture.
Our Mission
Agriculture has the power to reverse climate change. We believe science and technology can help us get there.
Our goal is to use farmland to cool the earth. We are currently monitoring 150 million acres of land in over 45 countries. This year alone, with just one project, our carbon emissions reductions are equivalent to taking 17,000 cars off the road! We are already on our way to a more sustainable planet.
Check us out on TEDx and TechCrunch for a preview of what we can do for our customers.

Job Summary:
We are seeking a Data Scientist to join regrow as a team lead and apply their skill/expertise to help us accelerate the digital agriculture revolution on a globally.
What You Will Do:

Assist with and coordinate the planning, design, and execution of all project deliverables across multiple simultaneous work-streams in support of programs reliant on remote sensing and data science.
Help align and coordinate the work of the Global Data Science and Remote Sensing science team to develop and implement algorithms that will help improve detection of crop and soil management practices, and drive the mechanistic models like APSIM and DNDC nationally and internationally.
Coordinate work effort between all dependent groups (including external research partners), teams, and tasks around remote sensing programs.
Manage product-related remote sensing and data analysis requests, and other support tasks to ensure timely execution of activities through solution acceptance by internal and external stakeholders.
Execute planning, status, and ad-hoc meetings for remote sensing team as required; keep project documentation for all initiatives and track and communicate risks and issues and execute mitigating steps, as necessary.
Provide advice and recommendations on the following: the effective use of available resources, enhanced control of the scope of work, recommendations regarding various architectural solutions across modeling tools, and product delivery methods suitable for each project or program, optimal project scheduling options, enhanced modeling outcomes (accuracy, uncertainty).
Analyze data and user needs to determine functional and cross-functional requirements.
Provides management oversight across multiple simultaneous projects or project tracts within remote sensing program.
Lead the Remote sensing team with the goal to research, develop and implement the algorithms to:

detect and map field boundaries, crop types, rotations, and agricultural practices (planting, harvest).

monitoring crop development and crop performance, including identifying crop growth stages.tracking crop stress and detecting areas where the yield damage is likely to occur early in the season.

provide mechanistic crop models (APSIM, and DNDC) with required input parameters based on crop and soil remote sensing.

Lead the research into multi-sensor remote sensing methods for consistent decision support and product availability globally.
Oversee and as required, analyze large remotely sensed, geospatial datasets for agriculture and rangeland applications to produce reports that address customers' needs; automate the reporting that is being requested multiple times.
Work closely with engineering and provide scalable inputs to parametrize the environmental, mechanistic models to scale internationally.
Liaise with selected customers on the topics related to crop and soil remote sensing.
Assist with the development of case studies and reports by providing insight into the agricultural interpretation of remote sensing products.

Your Background:

M.Sc. or Ph.D Degree in remote sensing, environmental science, natural resources, computer science, or related fields.
Strong experience with remote sensing of crops in the context of agricultural applications, preferably international.
Strong team leadership experience and capabilities to manage a team with a variety of backgrounds, including software engineers, scientists, and business teams.
Desire to be in equal parts manager and contributor.
The ability to translate your technical knowledge into insights accessible for our team and our customers.
Excellent programming skills in Python, knowledge of the software and product development life cycles, and experience developing applications independently, as well as in a team.
Experience with Linux/Unix, cloud computing
Experience with open-source geospatial libraries, e.g. GDAL, OGR, Fiona, Shapely
Extensive data analysis experience.

Who You Are:

You have a passion for delivering value to customers and solving messy real-world problems.
Experience and interest in agriculture, geography, process-based modeling.
Strong focus and desire to understand and meet customer needs, adjusting the models to meet the real-world requirements.
You can organize yourself and others in a globally structured environment.

*We value diversity! At Regrow, we know a diverse and inclusive team not only makes our products better but our planet better. We have employees across nine countries and three continents, and we’re committed to expanding our base of knowledge and experience.
Regrow is an equal opportunity employer and all applicants receive consideration for employment. We do not discriminate based on race, religion, color, national origin, gender identity, sexual orientation, pregnancy, age, marital status, veteran status, or disability status.*
If you like what you read and want to be a part of our team, please do not hesitate to apply! We are excited to hear from you.


Finance Data Analyst

Blockchain.com is the world's leading software platform for digital assets. Offering the largest production blockchain platform in the world, we share the passion to code, create, and ultimately build an open, accessible and fair financial future, one piece of software at a time.We are growing the Data Team of our Finance Operations. We are looking for a Data Analyst who is looking to roll up their sleeves to help build the infrastructure and processes that will support growth in a fast, yet controlled manner. Reporting to and working with the Global Group Controller, this person is comfortable and confident in a high growth company where structure, procedures, and policy are in development, familiar with a fast pace. and is able to prioritize in building a scalable, efficient data function.
WHAT YOU WILL DO

Support the development of procedures for data architecture and governance, including reconciliation, gap analysis
Identify relationships and trends of historical and real-time transactions against crypto and cash movements, between entities in Blockchain.com and external parties.
Support Management business decisions with complex data retrieval, transformation, and analysis
Develop and deliver regular and ad-hoc business performance analysis and reporting including cost basis, profitability, financial statement
Enhance overall performance through automation, visualization, mathematical or statistical approach
Work collaboratively across product owners, finance, and other functional teams within Blockchain.com
Manage multiple priorities across a mix of ad hoc and operational projects
Process large amounts of data for statistical modelling and graphic analysis.
Develop data mining methodologies, including OCR, NLP, logistic regression, random forest, xgboost and Bayesian networks
Performs related duties as assigned or requested.

WHAT YOU WILL NEED

The foremost quality for this position or any position at Blockchain.com is integrity.
Minimum of 3 years experience
Degree in Computer Science, Information Systems Management, Business or related discipline.
Proficiency with data processing and data warehouse / big data environments.
Proficiency with designing data models, defining data architecture schema etc.
Experience in financial services/investment management.
Strong presentation and communication skills when working with internal teams and external vendors.
Excellent  attention to detail and ability to work as a team to identify process improvements.
Capacity to meet deadlines while maintaining quality standards and effective time management
Adapt to a fast-paced continuous learning environment and show a willingness to take on additional responsibility where required.

COMPENSATION & PERKS

Unlimited vacation policy; work hard and take time when you need it.
Apple equipment.
Full-time salary based on experience and meaningful equity in an industry-leading company
US Benefits: Medical, Dental, Vision, 401K, Flexible Spending Account, Commuter, Life, Short Term & Long Term Disability.

APPLICATION

Resume/CV and LinkedIn profile.
Your favorite GIF.


Analytics Data Scientist

Reporting to the Director of Analytics, this is an individual contributor role that is responsible for designing and developing data enabled solutions that have strategic impact on the business and are built on the latest technologies. This individual will need to balance a strong command of technical skills along with outstanding soft skills so as to communicate with both senior executives and technical team members.

Responsibilities

Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and distill a complex issue into actionable insights for decision makers

Partner with Data Engineering teams to solve problems, identify opportunities, and build data infrastructure

Analyse data independently to deliver insights about operational performance and proactively drive improvements

Investigate key problem areas by performing root cause analyses, corroborating quantitative and qualitative findings

Effectively plan and collaborate with functional teams (Product, Service, Revenue) on data driven initiatives to solve complex operational problems

Collaborate with operations and data-focused teams within and functional areas of the business to solve problems, develop solutions and share insights

Apply data expertise to successfully support cross-functional operational needs

Build Reporting tools for different functional areas of the organization for self-serve options

Query, transform, analyze and communicate findings effectively to answer ad-hoc analytical needs

Drive data strategy in a continuous improvement framework by working with Data professionals

Qualifications

BA/BS/MS in a quantitative field; Full Time diplomas in Data Science is an applicable option

3 - 5 years of experience data, reporting, analytical problem solving

Hands on experience deploying models using Python, SQL scripts, Sheets, Tableau, and BQ

Experience and understanding of statistical analysis (experimentation logic and biases, hypothesis testing, probability, prevalence measurement, regressions, A/B testing)

2+ years hands on experience in SQL, Python, R, and other languages

2+ years of experience in project managing data-centric projects

2+ years experience supporting  fast-paced company growth through Data

Strong communication skills with experience explaining technical concepts to technical and business partners

Nice to Have's

Hands on experience building Interactive Visualizations such as Tableau, Mode, Google BQ.

Hands on experience in Programming Languages such as Python, R or any other programming languages

Hands on experience deploying models using Python, SQL scripts, Sheets, Tableau, and BQ

Experience and understanding of statistical analysis (experimentation logic and biases, hypothesis testing, probability, prevalence measurement, regressions, A/B testing)

Ability to make impactful presentations

Demonstrated experience collaborating with multiple stakeholders across functions and time zones

Working experience within operational ecosystems

Position can be located in any geography in the US or Canada.


Senior Data Scientist

About Shift:
We believe car buying should be fun, fair, and accessible to everyone. We’ve set out to transform an industry, using technology to bring transparency and convenience to the car buying process.
And we aren’t stopping there. We seek to bring that same openness and simplicity to car ownership too, with payments, maintenance, and insurance in one easy app. At Shift, we’re building the tools that empower people to buy, own, and sell the cars that make life go.
About the role:
Data Scientists at Shift build things that matter and have a material impact to the company’s bottom line and the customer’s experience. In this role, you will drive exciting, meaningful projects, and help define our technical and product strategy, you will have an opportunity to innovate. We move fast, have fun, and help each other out.
We’re looking for an experienced Sr. Data Scientist to help us build the world's best e-commerce and operations platform to drive car sales and acquisitions. As a senior technical leader, you are critical to our business and technical prowess. You will work directly with technical management at the company and raise the bar for Data Science and Machine Learning. You lead by example and foster a culture of technical excellence, humility and lifelong learning.
This is an opportunity to join a fantastic team at a hi-tech fast-paced Silicon Valley company which is transforming an entire industry. You will report to the Director of Data Science. We’d love to talk to you about what great things you’ll do here.
What you'll do:

Be a key contributor to Shift’s tech stack and technical processes, working with engineers throughout the organization, partnering with Data Science and TechOps.
Demonstrate best practices by delivering high quality results to business.
Provide technical leadership for data scientists with supportive but candid feedback in code reviews and architecture documents.
Participate in build v buy decisions.
Participate in technical design, project planning and lead development of critical projects.

What we ask for:

Passion for data, technology and people.
PhD or Masters in Computer Science, Mathematics, Neuroscience, Computational Biology, Econometrics.
Practical data science experience with a deep technical background in supervised and unsupervised machine learning methods.
Strong communicator - able to advocate data informed decision-making at all levels using visuals and narrative documents.
Strong analytical capabilities to translate business problems into data science problems and implemented solutions.
Experience with big data technologies such as Spark, AWS Athena, Redshift, Sisense, Looker, Tableau or others.
Experience with deploying to AWS SageMaker.
Mentored junior data scientists, led projects to the finishing line.
Strong experience in SQL and programming in Python or R.
Strong mathematical background or computer science.
Advanced ability to perform exploratory data analysis
Expert in Statistical Studies

Nice to have:

Databrick experience
Redshift experience
Experience with monitoring and instrumentation tech and vendors such as Segment, New Relic, Datadog, Pingdom and PagerDuty.

Who We Are
At Shift, we’re all about growth - which means people who are eager to grow, who are ready to roll up their sleeves and learn new things. We were founded by a scrappy group of visionaries who were by no means “car experts” - so we don’t expect you to be one, either!
We’ll take the open-minded go-getter over the pure subject matter expert any day. In that spirit, we also care about building a diverse and inclusive workplace and company. To put it simply, cars are meant for everyone, so we believe our company should be, too. We never discriminate against any candidate on the basis of gender, sexual orientation, gender identity, age, race, ethnicity, religion, color, national origin, marital status, veteran status or disability status. We welcome and encourage people of all backgrounds and walks of life to apply, even if you’re unsure if you meet all the requirements. (Even if this particular role isn’t the right fit, chances are we will have the right one soon!)
Why Join Now?
Having gone public in October 2020, we are at the beginning of our journey and hope you join us for the ride! Shift is a leading end-to-end auto e-commerce platform transforming the used car industry with a technology-driven, hassle-free customer experience. Shift’s mission is to make buying or selling a used car fun, fair, and accessible to everyone. We provide comprehensive, digital solutions throughout the car ownership lifecycle: finding the right car, having a test drive brought to you before buying the car, a seamless digitally-driven purchase transaction including financing and vehicle protection products, an efficient, digital trade-in/sale transaction, and a vision to provide high-value support services during car ownership.
Website | Facebook | Instagram | Twitter | LinkedIn | About Shift (Team)
Shift is an Equal Employment Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.


Head Of Ecosystem Data Science

Coinbase has built the world's leading compliant cryptocurrency platform serving over 73 million accounts in more than 100 countries. With multiple successful products, and our vocal advocacy for blockchain technology, we have played a major part in mainstream awareness and adoption of cryptocurrency. We are proud to offer an entire suite of products that are helping build the cryptoeconomy and increase economic freedom around the world.
There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for signals that a candidate will thrive in a culture like ours, where we default to trust, embrace feedback, disrupt ourselves, and expect sustained high performance because we play as a championship team. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people with the desire and capacity to build and share expertise in the frontier technologies of crypto and blockchain, in whatever way is most relevant to their role.
You will partner directly with ecosystem product leadership to define and execute data roadmaps, and build systems of intelligence empowering the team while bringing forward actionable and inspiring insights to spearhead critical operational and strategic decisions across all aspects of ecosystem at coinbase
We expect you to have a deep understanding of crypto domains and demonstrate clear communication, strong desire to execute and best-in-class craftsmanship. Also, you’ll spend the other part of your time collaborating with cross-functional partners in product and engineering, ensuring Coinbase scales in the most safe and compliant way.
What you’ll be doing (ie. job duties):
Lead, mentor and grow a team of data scientists, data science managers and build strong partnerships with ecosystem product teams
Act as a strategic thought partner to product leadership and Coinbase executives; lead the team to execute on campaign measurements, brand awareness and other top product priorities
Partner closely with data and organization leadership to meet analytics needs and continuously improve our insight-creation capabilities, as a trusted and influential evangelist for data-guided decision making, while cultivating a culture of data at coinbase.
Drive long term product data strategies and planning
Leverage advanced analytics toolset to find opportunities, unpack drivers and develop hypotheses to inform action planning with partners
Act as the DRI for key ecosystem metrics and insights at Coinbase
Advocate for data guided decision and frameworks via empowerment of data usage across the product and data organization
Recruit and grow a premier data science and analytics team
Drive data team and organizational level initiatives to scale our insights through better systems and automation
Design communication structure and cadence with team members; Synthesize data takeaways (success or failures) into compelling narratives and communicate them throughout Coinbase
What we look for in you (ie. job requirements):
BA / BS degree business, computer science, statistics, applied mathematics, or any scientific or computational degree. Masters or PhD is preferred
Passion for crypto and blockchain domains. Prior experience in crypto data is preferred
Strategic product orientation - product driven data leader who proactively understands user journey and insights in the ecosystem product domain at Coinbase, and consistently looking for HOW and WHY.
Deep knowledge of product analytics and data domains with proven track record of running a successful data science and analytics function
7+ years of experience as a hands-on leader of a data science/analytics team.
Experience in both internal and external storytelling and executive presentations.
Expertise with analytics tools, data visualization, sql, r, or python as applied to data science and analytics.
10+ years of experience providing business insights support for the executive team.
Excellent ability to communicate complicated and nuanced insights in accessible language to relevant stakeholders.
Proven track record of strong leadership. Experience in leading large teams with 10+ team members
#LI-Remote
(P29078)
Commitment to Equal Opportunity
Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.  For US applicants, you may view Pay Transparency, Employee Rights and Equal Employment Opportunity is the Law notices by clicking on their corresponding links.  Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations@ coinbase.com and let us know the nature of your request and your contact information.  For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Please contact accommodations@ coinbase.com for additional information or to request accommodations.
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here: Ireland/EU, United Kingdom, and California. By submitting your application, you are agreeing to our use and processing of your data as required.


Senior Data Scientist Finance Data

Coinbase has built the world's leading compliant cryptocurrency platform serving over 73 million accounts in more than 100 countries. With multiple successful products, and our vocal advocacy for blockchain technology, we have played a major part in mainstream awareness and adoption of cryptocurrency. We are proud to offer an entire suite of products that are helping build the cryptoeconomy and increase economic freedom around the world.
There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for signals that a candidate will thrive in a culture like ours, where we default to trust, embrace feedback, disrupt ourselves, and expect sustained high performance because we play as a championship team. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people with the desire and capacity to build and share expertise in the frontier technologies of crypto and blockchain, in whatever way is most relevant to their role.
Blockchains are revolutionizing how financial data is shared and audited. As a Data Scientist within Finance Data, you will be at the heart of these innovations and collaborating closely with the Coinbase finance team, building finance data pipelines and tools that integrate traditional banking with the future of money.
We expect you to have a deep understanding of audit & compliance processes in finance data, and demonstrate clear communication, strong desire to execute and best-in-class craftsmanship. Also, you’ll spend the other part of your time collaborating with cross-functional partners in product and engineering, ensuring Coinbase scales in the most safe and compliant way.
What you’ll be doing (ie. job duties):
Collect data from various systems and convert it into the source of truth for Financial and Compliance domains
Dig into complex data sets and make sense out of them
Translate functional and technical requirements into architecture and design
Participate in code and design reviews to maintain our high development standards
Measure business performance, develop core metrics and create dashboards to track and understand them
Identify data, metrics and analyses needs for business partners; Initiate, develop and maintain data pipelines and data models that powers dashboards and data products with outstanding craftsmanship
Perform deep analyses and build models to understand customer behavior, and extract key insights that impact product decisions
Work across multiple subject matter specialists to drive new data initiatives, automation of reports, establish best practices and mentor junior members in the team
Lead analytics projects to completion
Work with the broader Data team to find ways to scale our insights through better systems and automation
What we look for in you (ie. job requirements):
Proficiency with databases and SQL expertise
Experience with large-scale data warehousing architecture and data modeling
Expertise with data processing (ETL) technologies is required
Experience in one programming language such as Java, Scala, or Python
Strong analytical skills
Aptitude to independently learn new technologies
If need be, act as a Leader to drive big efforts with other data scientists
Nice to haves:
Knowledge of Hadoop related technologies such as HDFS, Azkaban, Oozie, Impala, Hive, and Pig
Experience building high-quality end-to-end data solutions in an agile environment from requirements to production
Be able to proactively handle prioritization of work and deliver work with great quality and influence the broader team in creating leverage
Experience in mentoring junior team members technically
Previous experience working with financial services data is a plus
Knowledge of Finance Business processes and concepts
Experience with Looker, Tableau or other business intelligence platforms
(P29076)
Commitment to Equal Opportunity
Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.  For US applicants, you may view Pay Transparency, Employee Rights and Equal Employment Opportunity is the Law notices by clicking on their corresponding links.  Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations@ coinbase.com and let us know the nature of your request and your contact information.  For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Please contact accommodations@ coinbase.com for additional information or to request accommodations.
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here: Ireland/EU, United Kingdom, and California. By submitting your application, you are agreeing to our use and processing of your data as required.