Devrel Data Scientist

POSITION SUMMARY:

DevRel (Developer Relation) Data Scientists are machine learning experts who are driven to make our users successful. Your goal is to amplify the usage, mindshare, and adoption of the client's and AI Quality best practices. By doing so, you have a positive impact on the ethical, transparent, and trusted adoption of AI. And to drive feedback back into the product teams and improve our offerings, you will work closely with product managers and software engineering teams.

As a DevRel Data Scientist, you’ll be exposed to a huge range of machine learning use cases from ridesharing to credit decisions, and supply chain management to Twitter sentiment analysis. You will also help support the company’s educational initiatives including creating AI Quality courses and engaging with the client's user community.

REQUIRED QUALIFICATIONS:

2+ years of DevRel experience or equivalent
Proficiency in developing, troubleshooting, and optimizing machine learning models in Python
Experience with model packages/frameworks such as XGBoost, LightGBM, Scikit-learn, DataRobot, H20
Experience with NLP and deep neural network frameworks such as TensorFlow and/or PyTorch
Strong understanding of data science workflows and architectures
Excellent organizational, communication, writing, and interpersonal skills
Ability to wear multiple hats with a “do whatever it takes” attitude
Master's degree or higher (or equivalent experience ) is preferred in the area of data science, computer science, statistics, or mathematics

RESPONSIBILITIES:

Develop a deep understanding of our user’s machine learning use cases and AI Quality goals
Leverage your machine learning experience and expert client's product knowledge to help our users optimize the usage of the company.
Create strong help content, quick starts, documentation
Create sample models for illustrating new machine learning and AI quality concepts
Help grow the client's user community and represent the company at AI/ML events
Work closely with the company's product management and engineering teams to align customer requirements to future versions and products


Data Scientist

POSITION SUMMARY:

The Clinical Analytics team creates innovative analytic tools to drive better healthcare outcomes. We’re currently seeking a Data Scientist to support the development and implementation of analytic capabilities that measure and enhance the value of integration of the company's products and programs. Responsibilities include developing advanced analytics, predictive models and machine learning/deep learning algorithms to identify care opportunities, prioritization of clinical recommendations, evaluation of program performance, and optimization of information delivery. The Data Scientist will collaborate with other data scientists and business partners and will participate in all phases of initiatives from exploration of clinical opportunities, development of solutions, to partnering with IT and business teams for implementation.

FUNDAMENTAL COMPONENTS:

Develops, validates and executes algorithms and predictive models to investigate problems, detect patterns and recommend solutions
Explores, examines and interprets large volumes of data in various forms
Performs analyses of structured and unstructured data to solve moderately complex business problems utilizing advanced statistical techniques, machine learning algorithms, and mathematical analyses
Develops data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs
Uses data visualization techniques to effectively communicate analytical results and support business decisions
Creates and evaluates the data needs of assigned projects and assures the integrity of the data
Explores existing data and recommends additional sources of data for improvements
Documents projects including business objectives, data gathering and processing, detailed set of results and analytical metrics

REQUIRED QUALIFICATIONS:

2 or more years of experience with complex data management and analytics
Strong knowledge of statistical methodology, predictive and inferential modeling, data mining and exploration and machine learning techniques
Experience using R and/or Python to manipulate large datasets and deploy quantitative techniques ranging from descriptive statistics to deep learning
Ability to write SQL code to extract, organize and aggregate data from various data sources (e.g. GCP, Hadoop, Netezza or DB2)

PREFERRED QUALIFICATIONS:

Understanding of health care industry and clinical research concepts
Demonstrates ability to clearly communicate technical concepts, results and implications to management and internal stakeholders


Senior Ml Engineer Sr Data Scientist

You will be joining a best-in-class team on a trajectory of tremendous growth. We are a Series-B start-up, backed by top tier investors Canapi Ventures, FinVC Capital, and TTV Capital and we serve some of the largest names across various industries such as Intuit, Square, Affirm, Mission Lane, Petal, and others.

We are pioneering the behavioral analytics space, providing a new standard for collecting, translating and actioning on the real-time behaviors of digital interactions. Through a body of patented technology leveraging over a decade of scientific research and discovery in Human-Computer Interaction (HCI) to measure both customer Intent and Experience. For companies, this real-time behavioral data is used during the digital onboarding process to segment genuine from fraudulent customers, enabling them to maximize conversion, reduce false positives and stop sophisticated fraud.

Founded by 2 world-renowned PhDs, and led by a team of seasoned executives, we continue to make strategic key additions to our team to expand our product offerings and enter new verticals.

Come join our team!

We have a large and unique data set with a unique set of challenges. It has tremendous potential. We are looking for an experienced data scientist to join our team, and take our modeling and ML to the next level.

JOB RESPONSIBILITIES:

Research and develop ML learning models and technology to power the behavior-as-a-service platform
Collaborate with engineering and other teams to deploy models into production.

REQUIRED QUALIFICATIONS:

5 years experience delivering data science projects analyzing and modeling large scale-multi dimensional data, preferably in an industry setting
Proven knowledge in model evaluation, tuning and performance, operationalization and scalability of scientific techniques and establishing decision strategies
Hands on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, feature selection/reduction, clustering, etc.)
Fluency in Python, especially the data scientific stack (Jupyter/Pandas/sci-kit-learn)
Working knowledge of relational databases (e.g. PostgreSQL), experience with Snowflake and/or Looker is a plus
Experience with cloud computing platforms (AWS, Azure, etc.)
Outstanding communication skills (verbal, written and remote)

PREFERRED QUALIFICATIONS:
You have worked in a fraud data team at a financial institution.


Senior Data Scientist

Company Overview:
Age of Learning is a leading education technology innovator based in Glendale, California, with a talented team of more than 600 individuals comprised of nationally-renowned educators, curriculum experts, developers, artists, writers, designers, engineers, producers, product managers, analysts and marketing experts! Together we develop engaging, effective digital learning technology and content to help children build a strong academic foundation for lifelong success.

Our flagship product ABCmouse.com Early Learning Academy® is a comprehensive online curriculum and the #1 digital learning product for young children. To-date, more than 30 million children worldwide have completed over 8 billion Learning Activities on ABCmouse. We recently launched Adventure Academy, the first massively multiplayer online (MMO) game designed specifically to help elementary- and middle-school-aged children learn. It features thousands of engaging Learning Activities—including minigames, books, original animated and live action series, and more—in a fun and safe virtual world. Other Age of Learning programs include immersive English language learning products for children in China and Japan; ReadingIQ, a digital library and literacy platform; and a groundbreaking personalized, adaptive digital learning system that individualizes math instruction for every child through AI-driven technology.

We are committed to helping all children succeed. We provide our educational programs at no cost to teachers, Head Start programs, public libraries, and other community organizations, and have served millions of children through these initiatives. We recently established the Age of Learning Foundation to expand this work globally.

As we expand our global reach and increase the educational impact of our programs, we’re looking for passionate, ambitious, and collaborative leaders to become a part of our growing team.

Summary:

We are seeking a strong, highly-motivated, results-oriented Senior Data Scientist to help conduct in-depth analyses and derive relevant insights. You will provide integral support for our Product Analytics teams, including the teams that support our flagship product, ABCmouse.com®, our exciting newer massively multiplayer game Adventure Academy and our highly effective adaptive math and reading products My Math Academy and My Reading Academy. Your work will have a strong impact in influencing Product Management and Senior Executives through actionable business/roadmap recommendations that ultimately help children learn!

Responsibilities:

Partner closely with product stakeholders, as well as stakeholders from a variety of teams, including the executive team, curriculum, design, brand marketing, partnerships, strategy and customer success, to surface insights and learnings that solve key product challenges
Conduct statistical analyses and build and deploy machine learning models to understand and predict customer behavior and product performance
Develop recommendation engines to create personalized user experiences that engage and delight users to optimize learning
Define, report and interpret key metrics to assess performance, measure the impact of strategic initiatives, and identify ways to grow revenue and reduce costs
Support A/B and multivariate testing and implementation across desktop and mobile platforms to inform product strategy, engagement, retention, lifetime value, product and content recommendations and personalized experiences
Create beautiful and informative automated/real-time dashboards and visualizations
Communicate results to technical and non-technical stakeholders
Identify actionable insights that positively affect both company revenue and learning outcomes for children

Required Qualifications:

4+ years in a data-intensive role and Bachelor’s degree in a quantitative field (or equivalent training and experience) OR
Master’s or Ph.D. in a quantitative field and 2 years of experience in a data-intensive role
Sound knowledge of analytical, statistical and machine learning methods, including predictive modeling, causal inference, clustering algorithms, recommendation engines and natural language processing
Experience designing a/b tests and conducting statistical analysis to produce test results
Experience productionalizing models a plus
Proficiency in SQL and Python or R
Excellent written and verbal communication skills
Proven ability to explain technical concepts to non-technical stakeholders
Curious, motivated, self-starter, collaborative, team player
Passionate about high quality, insightful data analysis

#LI-Remote

Age of Learning currently provides:

• 90% - 100% of health and welfare benefit premiums
• A 401(k) program with employer match
• 15 paid vacation days, 11 observed national paid holidays plus 9 sick days
• Our flexible work culture means 2 or more days in the office (hybrid) or 100% fully remote options available for most positions
• Team bonding events and a highly collaborative environment
• Access to our internal DEI Task Force that focuses on ensuring our products represent all children on a global scale
• Opportunities for professional growth through professional learning and development programs
• Commitment to Equal Opportunity Employment in addition to an inclusive and supportive company culture


Senior Data Scientist Business Intelligence

Our mission: to eliminate every barrier to behavioral health.

Spring Health is a comprehensive mental health solution for employers and health plans. Unlike any other solution, we use clinically validated technology called Precision Mental Healthcare to pinpoint and deliver exactly what will work for each person  — whether that’s meditation, coaching, therapy, medication, and beyond.

Today, Spring Health serves more than 200 companies, from start-ups to multinational Fortune 500 corporations, and is a preferred mental health provider to companies like General Mills, Guardian, Bain, and Instacart. We have raised over $300 million from prominent investors including Kinnevik, Tiger Global, Northzone, RRE Ventures, Rethink Impact, Work-Bench, William K Warren Foundation, SemperVirens, Able Partners, True Capital Ventures, and a strategic investor, Guardian Life Insurance. Thanks to their partnership, our current valuation has reached $2 billion.

Data is our most valuable asset at Spring Health. We’re building out our Business Intelligence team to ensure we can effectively use all of that data to eliminate every barrier to mental health more quickly and completely. In this role you will become a trusted partner to our internal teams, working to enable them to confidently access, understand, and use the data they need to make the right decisions about our business, products, and processes.

#LI-BW1

What you’ll be doing:

Act as a partner with internal teams (finance, operations, etc) to proactively translate their data questions into actionable dashboards that drive teams’ decisions and behavior
Develop a deep understanding of our products and operations, and how they tie into Spring Health’s business context
Develop predictive models for both business and clinical applications, helping the teams understand how decisions we make now may impact the future
Contribute to the team’s overall Looker strategy, improving our design for how we organize the models and views of our data
Collaborate with the BI and data engineering teams to implement the Looker design we develop
Prioritize inbound requests from multiple teams, using business context and collaboration with stakeholders to determine the order in which to approach problems
Collaborating with teams to understand our business, help craft KPIs and then create reports to measure them

What we expect from you:

You are passionate about changing the face of mental health care and Spring Health’s mission to remove all barriers to mental health resonates with you
You have 5+ years of working experience working with data, data visualization, and dashboarding tools
You have strong user empathy - you can deeply understand the core issues stakeholders are having and translate them into solutions that meaningfully improve their ability to operate
You are an expert in advanced SQL, and (bonus) are comfortable optimizing queries to reduce load times
You’re comfortable using languages like R or Python to do more advanced data analysis
You have experience working with Looker, both creating up the data model and building dashboards
You focus on impact, finding the things you can deliver that deliver the most value for your stakeholders
You have exceptional communication skills, and are comfortable working independently with executive level team members
You are humble, highly motivated, and thrive in fast-paced environments

What we'd love to see (Bonus):

You don’t take no for an answer, and enjoy finding work arounds for limitations in data to get stakeholders the answers they need
You have experience working with a cloud-based data warehouse to access data (Snowflake, Redshift, Big Table, etc)
You have experience using any of the following data: EMR, clinical trials, claims data
You have operated in a role that required interaction with customers

Benefits of working at Spring Health:

Focus on total health including:
Generous medical, dental, vision coverage available day 1 + access to One Medical
Access to Spring Health’s platform which includes (10) free therapy sessions
Unlimited time off in addition to (12) paid holidays
16-18 weeks paid parental leave
$500 per year Wellness Reimbursement

Creating a culture you can thrive in:
Flexible remote and hybrid work style arrangements
Calm Fridays to encourage meeting & distraction free days
Donation matching to support your favorite causes
Employee resource groups

Supporting you financially through:
Competitive mix of salary and stock options
Employer sponsored 401(k) match

In addition to finding people who are truly excellent at what they do, we take our values at Spring Health seriously:

Members Come First: We are genuine member advocates.

Move Fast to Change Lives: We build with urgency and intention.

Take Ownership: We extend trust and hold ourselves accountable.

Embrace Diverse Teams & Perspectives: We find strength in the diversity of cultural backgrounds, ideas, and experiences.

Science Will Win: We will achieve impact by innovation and evidence based frameworks.

Candor with Care: We are open, honest and empathetic.

Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

#LI-remote


Staff Data Scientist

Staff Data Scientist
The world’s first customer platform helping internet businesses accelerate growth☝
Intercom is the only suite of customer messaging products that drives growth at every stage of the customer lifecycle—across acquisition, engagement, and support. Today more than 25,000 businesses use Intercom to connect with a billion people worldwide.
Join the company helping businesses grow revenue through live chat, and so much more.
What's the opportunity? 🤔
The Research, Analytics & Data Science (RAD) team at Intercom use data and insights to drive evidence-based decision-making. We're a team of data scientists and product researchers who use data — both big and small — to build customer empathy, drive product strategy and shape products that deliver real value to our customers. If you get really excited about asking the right questions, exploring patterns in data and surfacing actionable insights that drive strategic decisions, then this role is for you.
Staff Data Scientists in RAD lead partnerships with R&D groups to help Intercom make sense of our customers and our business, using metrics and data. This role will enable you to drive key data projects that directly impact our customers and millions of end users who communicate via our messaging platform daily.
What will I be doing? 🚀

You’ll be the lead data scientist for an Intercom product area. You’ll partner closely with a product researcher to build a holistic understanding of this area. You’ll build relationships and collaborate with leaders from product, design and engineering to shape the strategy for your product area. You’ll measure outcomes and develop success metrics to understand the impact of product changes on customer behaviour, through analysis and experimentation. You’ll also collaborate with finance, marketing and sales to understand how your product area impacts Intercom’s commercial performance.

You’ll build and automate actionable models and dashboards

You’ll craft data stories, share your findings and advocate for your recommendations across R&D

You’ll design, build and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables.

You’ll drive projects to improve the tools and infrastructure that data scientists   use to do their work.

You’ll be a role model for more junior data scientists on the team

What skills do I need? 📖

5+ years experience working with data to solve problems and drive evidence-based decisions

Demonstrated ability to influence and guide product strategy with data

Excellent communication skills (technical and non-technical) and a focus on driving impact

Desire to mentor other data scientists and share best practices to elevate the use of data science at Intercom

Strong growth mindset and sense of ownership. Innate passion and curiosity

Excellent SQL skills

Experience with a scientific computing language (R or Python)

Experience with BI/Visualization tools like Tableau, Superset or Looker

Bonus skills & attributes 🙌

Experience working on a B2B SaaS product

Experience with data modeling and ETL pipelines

Experience partnering with Product Research teams

Benefits 😍
We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! :)

Competitive salary and equity in a fast-growing start-up

We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen

Regular compensation reviews - we reward great work

Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents

Open vacation policy and flexible holidays so you can take time off when you need it

Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones

MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organisation. We're committed to an inclusive and diverse Intercom! We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.


Senior Machine Learning Scientist

We believe that intelligent technology working alongside outstanding care providers is key to delivering timely, quality and affordable healthcare to patients with complex chronic conditions. We’re looking for a motivated senior machine learning scientist to join our growing machine learning team to deliver on that vision. This is your opportunity to have an outsized impact on helping doctors make better decisions, improve healthcare access, keep patients engaged in their care, and improve their health outcomes as part of our mission to reinvent healthcare.
What you’ll do:

Work with clinical and operational partners to define how ML can help clinicians and patients make better decisions and expand access to care and improve health outcomes
Collaborate with fellow scientists, product managers and engineers to develop and deploy ML systems within clinical and operational workflows
Own projects end-to-end from scoping to data gathering, feature engineering, model development, deployment and performance monitoring
Stay on top of recent developments in ML methods in the search, recommender systems, NLP, computer vision, and causal inference spaces

You should have:

MS/PhD in computer science, statistics or another quantitative field
5+ years of applied machine learning experience in an e-commerce or healthcare setting
Deep knowledge of the fundamentals of traditional machine learning and deep learning
Strong proficiency in Python, SQL, GitHub, scikit-learn, and at least one deep learning framework (PyTorch, TensorFlow, Keras)
Experience training and deploying models in a cloud computing environment
Ability to communicate machine learning concepts to non-technical audiences


Data Scientist New Grad

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

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

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


Data Scientist Product Community Team

The vision of the Figma Community is to move Figma from standalone design tools to an ecosystem and platform. Community is where our users share, explore, and gain inspiration from one another. We provide the support for creators to thrive with the power of the design community and take their design process to the next level.

We’re looking for a senior data scientist who will take ownership of this team’s data projects and serve as a strategic partner to Product, Engineering, Design, User Research, and Marketing. In working with an independent product surface with a unique focus, your responsibilities would cover a broad set of work including exploratory analysis, experimentation, and model evaluation and improvement related to the content discovery experience. The ideal candidate will have a strong track record of using data to influence product teams and help them achieve their goals through both analytics and machine learning.

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:

Design and evaluate experiments to measure improvements to UI and algorithms
Generate ideas to creatively leverage data for shaping future product roadmaps
Collaborate with engineering to leverage machine learning to improve relevancy of content on Community.
Drive democratization of data through creation of new datasets and tooling
Design and surface metrics to guide decision making
Collaborate with cross-functional teams including Product, Engineering, Research, Design, and Marketing

We'd love to hear from you if you have:

Degree in a quantitative field(Advanced degree preferred)
3+ years relevant work experience
Fluency in Python, R or similar scripting language
Proficiency in SQL
Experience in distributed data processing systems(Hive, Redshift, Presto, Snowflake, etc)
Breadth of knowledge around machine learning and experiment design, including A/B testing and content ranking algorithms
Excellent judgment and creative 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


Director Of Data Data Science Analytics

About TalkingPoints
TalkingPoints is an award-winning education technology non-profit organization with the mission to unlock the potential of low-income, underserved families to support their children’s learning by partnering with their children’s schools. COVID-19 remote learning environment has made our mission ever more urgent and important. We’re building a one-of-a-kind product in the market, a multilingual family engagement platform that connects families and teachers using human and artificial intelligence powered, two-way translated messages and personalized supports — eliminating language, time limitations, and know-how as barriers to school/family connection.

Millions of teachers and families are using TalkingPoints in their classrooms, schools and districts across the U.S. TalkingPoints works with key school district partners such as Oakland Unified, Seattle Public Schools, Boston Public Schools, Buffalo Public School, Wake County and NYC DOE. We have won awards from NYU, MIT, Google, Forbes and are backed by Google, Eric Schmidt, AT&T, Cisco, and Stanford University to name a few.

We're at a critical inflection point in the organization's growth, our user base has grown exponentially in the past year while our team doubled and will double again over the next year. It's an important time to join our team and build on our momentum and ability to support students and families during this critical time in which education equity gaps are more concerning than ever. Learn more.

Diversity: we celebrate it, we support it, and we thrive on it!

The opportunity
Be our first data team leader, managing our data science, analytics, and data engineering teams and roadmap. This is a player/coach role that includes:
Developing, managing and executing on the TalkingPoints data roadmap which includes data infrastructure, data science, and product and impact analytics.
Managing a growing data team that supports data science, data analytics, and data engineering, driving focus and execution for that team, as well as supporting the ways in which they interface with every other team in the organization.
Drive investment in our data infrastructure to allow TalkingPoints to more reliably and rapidly produce insights.
Drive the strategy and cross-functional thinking in how our data roadmap supports optimal progress and impact for our organization. This includes identifying as of yet unknown areas of data investment that could positively impact our business and users, and collaborating with all areas of our organization to be opportunistic in how data can provide competitive advantage to TalkingPoints.

Who you are
You are an experienced data leader with experience in analytics and experimentation, data engineering, and machine learning/prediction who knows how to effectively and strategically support data needs throughout an organization.
You combine business insight, technical acumen, and human understanding to drive an immaculately prioritized data roadmap.
You have experience managing, mentoring and developing a team of data scientists, analysts, and data engineers and strategically managing and growing our data infrastructure to support of our progress.
You have worked in a high growth, consumer or SaaS company and seen what it takes to build a high performing data org.
You seek impact that accelerates our business and our mission, and you have a demonstrated ability to create real value from analysis.
You are proficient in modern data stacks, tools, languages, including SQL, Tableau, Python, R, etc.; you know how to navigate and build upon the existing foundation.
Overall fit with our org culture - we look for team members who are:

User and mission-oriented: we are devoted to our mission with empathy towards the communities we serve.
All-in together: we go above and beyond the job description, working together as a team.
Agile & action-oriented: we get things done, knowing that our progress is urgent to our communities.
Always learning: we are always learning, with a growth mindset, to reach our our full potential.
Boldly courageous: we take risks in order to achieve big things.
Resourceful: We are creative, solution-oriented, and scrappy.

Overall fit with our org culture - we look for team members who are
User and mission-oriented: we are devoted to our mission with empathy towards the communities we serve.
All-in together: we go above and beyond the job description, working together as a team.
Agile & action-oriented: we get things done, knowing that our progress is urgent to our communities.
Always Learning: we are always learning, with a growth mindset, to reach our full potential.
Boldly Courageous: we take risks in order to achieve big things.
Resourceful: We are creative, solution-oriented, and scrappy.

What we offer
An incredible opportunity to build a mission-driven, rapidly growing startup tech nonprofit
Competitive salary, full coverage health insurance, benefits, and unlimited vacation
Flexibility to work remotely
401K match
Fun, smart, dynamic, motivated team focused on working together to transform family engagement to serve the families who need it most

How to apply
Please submit your resume, a brief paragraph describing your interest, and a link to your LinkedIn profile


Director Data Science Analytics

Candidates can work from our New York or San Francisco offices as they reopen, or as a permanently remote employee in the United States.
DonorsChoose is a technology-based non-profit that is serious about data. We are seeking a Director of Data Science & Analytics who is eager to play both a key technical and leadership role on a results-oriented, four-person team that delivers critical work for stakeholders across the organization. In this player-coach capacity, a typical week may involve prioritizing data projects with leaders from departments across our org, conducting an equity analysis of teacher funding, assisting our Analytics Engineer with a custom data transformation script, collaborating with Engineering to improve data freshness, and guiding a direct report on their professional development.
The Director of Data Science & Analytics will report directly to our CTO, and will manage an Analytics Engineer, a Data Scientist, and a Business Intelligence Analyst. Together with our Engineering team, they’ll manage our data stack, at the center of which sits a Redshift-based warehouse that houses transactional, event, customer service, and CRM data. We use Fivetran to ingest data and dbt to transform it. Through Looker, our staff accesses this data, which represents over 2 million classroom requests from over 600,000 teachers, funded by 5 million donors.
The ideal candidate is seeking an organization whose mission aligns with their values, where data is democratized and used for good, and where they’ll be challenged and supported in their growth.
About DonorsChoose
DonorsChoose engages the public in public schools by giving people a simple, accountable, and personal way to address educational inequity. In this clip, board member Stephen Colbert tells our story.
To date, teachers at 83% of all the public schools in America have posted classroom project requests on our site. Projects range from paper and markers for a poetry writing unit to violins for a school recital. More than 5 million “community philanthropists” have supported such projects, channeling books, field trips, technology, and other resources to more than 40 million students nationwide. In all, we’ve generated $1 billion for learning experiences designed by our country’s most dedicated public school teachers.
GOOD Magazine highlighted us as one of 30 Places We Want to Work, while Fast Company named DonorsChoose one of the 50 Most Innovative Companies in the World—the first time a charity has made this list. Through its dedicated team and culture, DonorsChoose earned recognition as the #1 "Best Nonprofit to Work For" by the Nonprofit Times.
About the Team
This role leads the Data Science & Analytics Team in our Product, Engineering & Data group. The Data team advances DonorsChoose’s data-driven philosophy and equity focus using an analytics-centric data warehouse that holds the single source of truth for all areas of our operation. With this structured data, we use business analytics and data science to understand user behavior, build machine learning products, and inform business strategy across Marketing, Fulfillment, Operations, and Product.
About the Role
Responsibilities:

Manage three direct reports: an Analytics Engineer, a Data Scientist, and a Business Intelligence Analyst, helping them deliver excellent work by providing advice and technical guidance
Work collaboratively with teams across the organization to define our highest priority business needs and identify data analytics solutions
Own data analytics strategy and vision, overseeing and prioritizing major initiatives around data modeling, engineering, analysis, and machine learning
Get hands-on, performing statistical analyses on large sets of data to extract actionable insights that will help drive business decisions across our marketing, operations, and product teams
Drive the organization's data literacy and grow fellow leaders' data savvy, with an emphasis on racial equity analyses and strategy
Partner with Engineering to keep our data secure, adapt our data infrastructure to meet the growing needs of the organization, and build data-powered features for our teachers, donors, and colleagues
Increase awareness of our work by engaging the “Data for Good” community and external researchers

Our ideal candidate:

Has experience working hands-on with datasets to solve business problems, but also enjoys planning strategically for the business
Is passionate about rigorous use of data as a tool for racial justice and educational equity
Relishes distilling open-ended challenges into clear and tractable ones
Has managed people, and is excited to help three direct reports to reach their full potential
Guides complex, cross-team projects with a clear vision and fosters purposeful, collaborative relationships
Possesses strong SQL and data transformation skills
Is interested in machine learning model development and data science techniques
Operates with a bias for impact and action, and a drive to deliver results for the teachers and students we serve

Has experience with (but not required):

Modern business intelligence and reporting platforms, e.g. Looker
Amazon Web Services data infrastructure, e.g. Redshift, S3, and Lambda
Web analytics and event data
Development and deployment of machine learning products

Compensation and Benefits
Compensation for this role is competitive with equivalent technical roles at other nonprofits of our size. In addition, we offer full-time staff 25 paid vacation days per year and 11 paid holidays, a rich employer-paid individual and family health plan, annual professional development stipend, and casual and flexible work environment. To learn more about what it is like to work for DonorsChoose, visit our careers page.
In compliance with the Equal Pay for Equal Work Act, candidates from Colorado may inquire about the salary range for this role by completing this form. A member of our Talent team will contact you with more information.
To Apply
Please submit your application online. In your cover letter, tell us a little bit about your favorite teacher! Applications will be accepted on a rolling basis until this position is filled.
A Final Note
The DonorsChoose team works toward a nation where students in every community have the resources needed for an excellent education. To do this we hire and support a diverse team of the best and the brightest talent available.
We are an organization increasingly representative of the varied races and ethnicities, genders and sexual orientations, religious and political beliefs, and abilities that comprise our nation. DonorsChoose focuses on attracting, retaining, and advancing diverse talent because it makes us more effective, high-performing, creative, and resilient.
If you are passionate about our mission, highly skilled in your field, and looking for a place where you can bring all of yourself to work, we want you.


Senior Climate Data Scientist

APPLY FOR A JOB AT THE OPEN EARTH FOUNDATION
Please send your resume with a brief cover letter to HR@openearth.org. The cover letter is an important part of the application, it is your opportunity to highlight why you feel you would be a great addition to the team.
Senior Climate Data Scientist:
Integrating our global climate accounting
Open Earth Foundation is a California-based research and deployment non-profit developing open innovative technology to increase planetary resilience and avoid a catastrophic climate crisis.
We are a diverse international team, working with a network of collaborators and partners globally (from the United Nations to cutting-edge startups) and always ready to have fun saving the world.
We are building  open infrastructure for the Paris Agreement, energy finance, biodiversity tracking, and impact solutions at the intersection of emergent technologies (ML, blockchain, Web3 technologies, IoT devices) and climate innovations.
We have funding, a network of international partners and a team of experts focused on Earth systems and digital innovation. Now we need Digital Avengers to help us on our planetary mission.
Your mission, should you choose to accept it:
As a senior climate data & policy scientist you will provide research, leadership and hands-on data management in our climate accounting technology programs. Your work will cover clima data expertise across Earth system science (particularly carbon budgets), international climate accounting (eg. GHG Inventories, UNFCCC process, and Paris’ Global Stocktake) and Non-State actor climate strategies (eg. corporate and city-scale accounting).
You will work directly with the Executive Director, be the top climate expert in a digital R&D lab with 5-10 members, and work on up to 4 different simultaneous climate data and accounting development operations; involving in-house work and managing multiple external collaborators.
The ideal candidate: passionate researcher on Earth system science and data
Responsibilities: manage, research, code, calculate, engage
Oversee all climate research, datasets, developments and deployments for the Open Climate project.Manage the climate science vision and mission of the Open Climate program, including for the independent climate accounting network  for the Global Stocktake, the Nested Climate Accounting spatial web simulator, the North American Energy Certification pilot, and model registry development for the voluntary carbon market. Supervise all climate prompts in the Open Climate Collabathon.
Tech & Data Abilities
Interpersonal skills: A time-zone management master, clear communicator, creative and curious, attention to detail
Qualifications
OEF is an Equal Employment Opportunity Employer. We support diversity, equity and inclusion in teams, and believe people should align their work with their purpose.
Please send your resume with a brief cover letter to HR@openearth.org. The cover letter is an important part of the application, it is your opportunity to highlight why you feel you would be a great addition to the team. We look forward to hearing from you!


Senior Data Scientist

Tackle.io enables enterprise software companies to accelerate the use of Cloud Marketplaces like AWS, Azure and Google. Our vision is to transform the way software is bought and sold with a laser focus on helping customers build and drive significant channels of revenue through the Cloud Marketplaces.

You’d be a good fit if you value:
Progress over process
Treating one another fairly
Pragmatic solutions
Flexible, remote first culture
Light-weight process and high autonomy

About The Opportunity:

Data is a critical component of Tackle’s mission to make digital software selling via Cloud Marketplaces the defacto standard of selling and buying software. Data Scientists at Tackle will be part of a well-funded, fully remote, growth-stage company helping shape the way that software is bought and sold in the Cloud Marketplaces (AWS, GCP, Azure and Red Hat). We are built on the foundation that a 100% remote team can be the healthiest, happiest and most productive; from the beginning we have been intentionally building a phenomenal culture that ensures everyone feels connected no matter where they are working from. Our platform has enabled some of the software industry’s most successful names to get listed, start selling, and scale their Cloud Marketplace operations.

Tackle’s Engineering team is growing, and we are looking for talented engineers to craft solid and reliable software at a sustainable pace. We balance consistent innovation and improvement of existing products with new and exciting greenfield projects. You will work in an exciting, positive environment surrounded by kind, talented, creative people. Tacklers have a bias to action, and we act without ego; in all interactions we know it is critical to respect, value and support each other. We succeed and fail as a team, with a mindset of pursuing success instead of avoiding failure. Wellness is a critical pillar of the company and we live this value in a variety of ways, with empathetic servant leadership at every level and flexible working hours to ensure a healthy work-life harmony.

Developer experience at Tackle is rewarding; we work with modern toolchains and pipelines, where code is deployed to production multiple times per day. In this role, you will aggregate and analyze disparate data sources to provide insights into data that will empower our customers to make better decisions and grow their businesses. Working on a development team at Tackle, expect to grow and evolve as an engineer by building and executing on a detailed growth plan tailored to your interests and aspirations.

In This Role You Will:

Be a part of an autonomous team of 5-7 engineers, a dedicated Product Manager and UX support to build, enhance and maintain existing areas of the Tackle platform through the analysis of data.
Build informative KPIs, data rich dashboards and scalable data products.
Apply fundamental data science methods and econometric models such as segmentation, regression, survival analysis, experimentation and machine learning.
Solve technical problems of moderate scope and complexity.
Write code that is focused on scalability, testability, supportability and maintainability.
Actively and enthusiastically participate in thorough code reviews and troubleshooting complex issues.
Mentor less experienced software engineers and learn from those who are more experienced to set the standard for the next generation of Tacklers.
Welcome different perspectives - be open and inclusive in every interaction.

You Should Have:

An ability to work with large data sets with minimal engineering support.
Strong fundamentals in the computer science discipline: data structures, algorithms, programming languages, distributed systems, and information retrieval.
Building, improving, maintaining, and scaling stream processing services in Python, C, Go and/or Java/Scala.
Have worked with relational DBs, NoSQL datastore, data lakes and data warehouses.
Desire to hold yourself and the team to high standards while evaluating technical trade-offs and delivering balanced solutions.
Are self-motivated with strong organizational skills.
Have a positive and solution-oriented mindset.
Will thrive in a fully remote organization where flexible schedules require asynchronous communication.
Communicate clearly and effectively in both verbal and written form.

You Will Stand Out:

Have been a part of a formal data engineering or data science team that has scaled and provided value both internally and externally.
Semantic text mining or natural language processing experience.
Deep mathematical and statistical background.
Understanding of Cloud Computing Technologies and related emerging technology (S3, EC2, Lambda, Glue, Athena, Quicksight, Databricks, Snowflake).
Curiosity or experience with graph modeling and graph databases.
Experience with one or more Data platforms (Postgres, Dynamo, Redshift, ElasticSearch, BigQuery).
Exposure to building data pipelines utilizing technologies and frameworks (Python, Go, Scala/Java).
Have a love for data (structured, unstructured and semi-structured) and seek out solutions to make data visible and meaningful.
Ability to tell an amazing story from data.

Great engineers can do great things, and that is far more important to us than technical specialties or degrees. Do you bring something special to the table that others don’t? Even if you aren’t a perfect match to our job description: apply anyway, we’d love to hear from you!  We are always looking for people with different experiences, backgrounds and perspectives because they make us better, stronger and healthier as a company and a community.

TACKLE VALUES:

Start with the customer - We exist to help sellers sell more & sell faster, and we measure all of our decisions with our customers’ goals at the forefront.
How we embody this value:
-We celebrate when our customers celebrate
-We’re active listeners and intent observers
-We always aim to be consistent, reliable, and trustworthy

Paint the art of the possible - We continuously innovate on how we do things, always looking for a better, smoother way for our customers and for each other.
How we embody this value:
-We think big to solve problems and make our customers lives easier
-We challenge the status quo, break down barriers, and aren’t afraid to experiment or get uncomfortable
-We take calculated risks, we own our mistakes, and we support one another

Operate with integrity - We have a bias for action and we communicate both internally and externally with candor, empathy, and authenticity.
How we embody this value:
-We first seek to understand and then take thoughtful action
-We are committed to fostering inclusivity and belonging for all employees
-We’re accountable for our work and responsive to issues impacting colleagues and customers

Learn and grow together - We work as a team, we celebrate wins, and we have fun together as we strive for professional and personal growth.
How we embody this value:
-We’re curious and cognizant of emerging tools, trends, and new ways of looking at old problems
-We’re purposeful about supporting and connecting with other teams across the company
-We invest in personal wellness & professional development and we believe in aligning personal and professional passions

The Process:

We have a transparent and streamlined hiring process that can typically be completed in one to two weeks:

·       Phone screen

·       3 additional video chat interviews (on occasion there may be opportunities for in-person interviews)

·       Offer

Benefits of joining the Tackle Team:

Full-time employees currently enjoy these amazing benefits:

·       Work remotely

·       Competitive Salary

·       Health, Dental and Vision Coverage

·       Company off-site Summits

·       Monthly Wellness Reimbursement

·       Internet and Phone Reimbursement

·       $500 Home ergo/office set up

·       Generous Vacation Plan

·       401k

·       Technology tools to do your best work

·       Company Surprises and Swag

·       Awesome Co-workers

We are a welcoming and diverse team with a wide range of backgrounds and experiences.  We were born and built remote and welcome others who believe remote companies are the way companies will be built into the future. At this time, we can only accept applicants who reside within the United States.

Tackle.io is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation


Data Scientist


Data Scientist Infectious Disease Modeling

We are seeking an exceptional Data Scientist to help us build the company.
ROLE DESCRIPTION
In this role, you will be working as a founding member of the Data Science team focused on building infectious disease models to help businesses and governments better predict, prevent, and respond to infectious disease outbreaks. The world now understands the importance of rigorous modeling of infectious disease in the public and private sectors, and you will be part of the early team at PHC building the future of the field. Modern data streams (genomic, mobility, search, social, etc) and modern computational techniques allow us to design, fit, and test models of transmission that are both more accurate and more flexible than classical approaches. In this role, you will:

Work closely with the Engineering and Product teams to build scalable mathematical modeling products that enable disease prevention, prediction, response, and risk assessment.
Perform statistical analyses of model performance, robustness, and impact.
Present interpretation of results to internal/external and technical/nontechnical stakeholders.
Provide technical and scientific guidance and mentor junior colleagues.
Write appropriate documentation and tests to ensure code reproducibility and reusability.
Contribute to scientific publications, technical reports, conferences, and open-source libraries
Work with all levels within the company including executive leadership to bring high-performing, actionable models to end users

REQUIREMENTS

Graduate degree in an analytical field such as epidemiology, biostatistics, statistics, mathematics, machine learning, or computer science.

Experience creating, implementing, and applying models of infectious disease transmission (or of systems with similar dynamics).
Deep understanding of statistical modeling approaches.
Experience using R or Python, Github, and the command line.
Strong communication skills with an emphasis on the ability to explain scientific and statistical concepts clearly.
Availability for meetings in the mornings, Pacific Time.

NICE TO HAVE

Experience working with an external stakeholder (either collaborator or client) on a infectious disease mathematical modeling project
Experience working with large datasets (>millions of rows) such as mobility data, electronic health records, social media data, census data
Experience with phylodynamic methods, agent-based models, and/or machine learning
Experience with cloud computing platforms, workflow managers, and data visualization
Experience contributing to open source software

PHC is a startup company, with the attendant excitement, energy, and opportunity for growth that a startup environment entails. The team supports remote-first employment and candidates from anywhere in the US are welcome to apply.


Data Scientist Engineer

Bugcrowd is the world’s #1 crowdsourced security company. Our award-winning platform combines actionable, contextual intelligence with the skill and experience of the world’s most elite hackers to help leading organizations solve security challenges, protect customers, and make the digitally connected world a safer place.
We are looking for an experienced Data Scientist with a hands-on engineering background to join our growing international team. You’ll be part of a highly engaged and technical group that is well-versed in building enterprise-ready and extremely secure software systems.
Bugcrowd has one of the largest collections of reported vulnerability disclosures in the world. You will design and implement production-grade deployments of advanced analysis of this data and have the opportunity to revolutionize our platform and cybersecurity workflows.
We are looking for somebody with:

At least three years of professional experience with data science
A strong understanding of data modelling and architecture
Experience developing models for natural language processing
Experience with graph and relational databases
Knowledge and understanding of named entity recognition, natural language processing, statistics theory and practice, bayesian modeling, time-series modeling, deep learning, visualization and presentation of results
Software engineering experience beyond data science is definitely a plus

We use a lot of different technologies, so the more of the following list you know, the better. In no particular order: Go, Ruby, Python, Kotlin, Kafka, Terraform, Docker, AWS Neptune, AWS Glue, AWS Sagemaker, AWS Athena, Tableau, Postgres, Tensorflow, Skosmos, Fuseki, Apache Jena, RDF4J, (Py)Spark, Silk, Spacy, Jupyter, SQL, Sparql, RDF4J, CI/CD, Agile, Scrum, git.
Culture
We realize that any company, but especially a crowdsourcing company, stands or falls with treating people like humans - especially our own employees. That is why we encourage a healthy work life balance with flexible time off, monthly mental health days and donation matching.
At Bugcrowd, we are solving security threats and vulnerabilities that are relevant to everyone, therefore we believe solving these problems takes all kinds of backgrounds. We value the perspectives and experiences people from underrepresented backgrounds bring. We are a supportive & collaborative team who understand that reaching Bugcrowd’s potential depends on the happiness of the employee.
We are a globally distributed team; there are Bugcrowders around the world working together. There are 24 different flags currently hanging in our HQ representing our countries of origin. If you happen to be near one of our offices (when we go back), we’re dog-friendly and have plenty of in-office perks.
Perks

Competitive salary, bonus program and stock options
Flexible time off & monthly mental health days
Opportunities to attend & host relevant conferences & meetups
Exceptional medical, dental & vision coverage
Generous allowance to build the workstation that suits you
Monthly stipend to offset expenses related to working from home
401k

Background Checks:
The company is authorized to obtain background checks for employment purposes under state and federal law. Background checks will be conducted for positions that involve access to confidential or proprietary information (including trade secrets).
Background checks may include Social Security verification, prior employment verification, personal and professional references, educational verification, and criminal history. Applicants with conviction histories will not be excluded from consideration to the extent required by law.


Lead Analyst Data Scientist

Description
Please note that visa sponsorship is not available for this position.
Your Opportunity
New Relic is the industry’s largest and most comprehensive SaaS-based observability platform built to create more perfect software. We are passionate about providing solutions and tools that help development and operations teams monitor, troubleshoot, and optimize the performance of their applications and infrastructure. And, we have a ton of fun doing amazing work!
We are searching for a Lead Data Analyst who will support the Marketing organization and report to our Director of Marketing Analytics. In this role, you will be responsible for evaluating the impact of our demand generation and integrated campaigns, measuring end-to-end marketing funnel performance, producing dashboards to report on our important metrics, and performing data analyses to optimize marketing performance for business operation, planning and budgeting purposes!
We are building out a world-class marketing analytics team. This role will play an important role in spearheading and shaping how analytics will be used to grow and optimize our customer acquisition and monetization. You will work closely with our Marketing partners to connect tactics to results and recommend future activities. In addition, you will partner with the Product and Sales analytics teams to build and perform analyses that help drive future revenue.
As a growing technical SaaS company, we have complex and oftentimes unstructured problems. We are looking for someone who has strong technical skills and thinks creatively to find solutions. We are looking for a candidate who thrives on discovering how behavior can predict measurable actions and is passionate about how the latest trends in Marketing and technology can be used to build a next generation analytics function.
Opportunity to work from a remote office may be available depending on applicant location.
What You’ll Do
Use multi-sourced data and marketing principles to create marketing dashboards, descriptive and predictive analyses, and data systems to optimize our marketing programs and objectivesDefine and implement end-to-end programs for metrics creation, data collection, database development, reporting, and data modelingPerform advanced analyses to understand and explain trends and drivers of key marketing metricsCollaborate with cross-functional teams including Product, Marketing, and Sales to define problem statements, access and manipulate data, build analytical models, explain data-gathering requirements, deliver analytics insights, and make recommendationsDefine, compute, track, and continuously validate business metrics with descriptive and predictive analysisIdentify and implement structured processes for data reporting and communication, and use analytical models to identify insights to drive key decisions across leadership and the organizationProvide mentorship to other members of the team and the marketing organization on the best methodologies for design, implementation, and testing of analytics insightsUse tools like R, Tableau, Python, and SQL to drive efficient analytics
Your Qualifications
Must-have:
Degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science) or equivalent7+ years of hands-on experience analyzing and interpreting data, building statistical models, drawing conclusions, defining recommended actions, and reporting results for different marketing partners7+ years of experience with developing data visualizations with tools such as Tableau and with Analytics/Data Science tools such as R, Python, and SQL3+ years of experience in marketing analytics/data scienceExperience using data driven models to drive business decisionsExperience using data access tools and building visualizations using large datasets and multiple data sourcesKnowledge of statistics and data science (e.g. statistics basics, statistical modeling, experimental design, hypothesis testing, etc.)Experience working with cross-functional teams and presenting data insights to all organizational levelsBe a self-starter, flexible, and motivated by a knowledge for developing the best possible solutions to problems
Nice-to-have:
Advanced degree in the above analytical fieldsFamiliarity with additional tools we use: ABM tools, Periscope, Snowflake, Data BricksExperience in a high-growth digital B2B and B2C marketing environment
Please note that visa sponsorship is not available for this position.
We're looking for bold and passionate people to be a part of our mission to create more perfect software. We'd love to have you apply, even if you don't feel you meet every single requirement. What's most important to us is finding authentic and accountable people who feel connected to our mission and values, not just candidates who check off all the boxes.
We believe in empowering all Relics to achieve professional, and business success through a workforce model called Flex First. The Flex First model allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or a combination of both.
Read more about Flex First and New Relic’s vaccine policy as part of our commitment to maintaining a safe and healthy workplace in light of the COVID-19 pandemic.
About Us
New Relic (NYSE: NEWR) is a cloud-based observability platform that gives developers, engineers, operations, and management a clear view of what’s happening in today’s complex software environments. So they can find and fix problems faster, and deliver delightful experiences for their customers. That's why the world’s best engineering teams rely on New Relic to visualize, analyze, and troubleshoot their software. It’s the simplest, most powerful cloud-based observability platform, built to create more perfect software. All from one place.
Founded in 2008, we’re a global company passionate about building a culture where all employees feel a deep sense of belonging, where every ‘Relic’ can bring their whole self to work and feel supported and empowered to thrive. We’re consistently recognized as a distinguished employer and are committed to building world-class products and an award-winning culture. For more information, visit newrelic.com.
Our Hiring Process
New Relic takes seriously our stewardship of the data of our thousands of customers worldwide. In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification.
We will consider qualified applicants with arrest and conviction records based on individual circumstances and in accordance with applicable law including, but not limited to, the San Francisco Fair Chance Ordinance. https://sfgov.org/olse/sites/default/files/FCO%20poster2020.pdf
Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic.
New Relic is an equal opportunity employer. We eagerly seek a diverse applicant pool and hire without regard to race, color, gender identity, religion, national origin, ancestry, citizenship, physical abilities (or disability), age, sexual orientation, veteran status, or any other characteristic protected by law.
Interested in the details of our privacy policy? Read more here: https://newrelic.com/termsandconditions/applicant-privacy-policy
#LI-AB1


Data Scientist

Job Description
Insights from data power decisions at Array. This Data Scientist role will work with product, engineering, sales and design teams to understand and analyze data from all parts of our business. You will use data science to help improve adoption and usage of our existing products and create new products. Data Scientists at Array will have a tremendous opportunity to make an impact to the top line and bottom line of a rapidly growing company.
Responsibilities

Understand how our business works and drive the vision for how we share analytics and insights with our users

Work with large and complex data sets to solve a wide-range of challenging problems using different analytical and statistical approaches

Work closely with product, marketing and sales teams to innovate products and features to generate new revenue streams

Design and implement quick proof-of-concept experiments to validate hypothesis and demonstrate viability
Own the full lifecycle of model development: ideation and data exploration, algorithm design and testing, algorithm development and deployment, as well as algorithm monitoring and tuning in production.
Clearly communicate insights and technical approaches verbally and in writing, including documenting analytical methodologies and other outputs appropriate for use by specialist as well as non-specialists
Ensure high degree of confidence in the data products including but not limited to developing QA/QC strategies to ensure they are production-ready

Essential Skills

Master’s or Ph.D. in a quantitative field such as statistics, economics, industrial engineering and operations research, applied math, or other relevant quantitative field
3-6+ years of experience designing models for product analytics using statistical and machine learning techniques. Experience in financial services preferred but not required
3-6+ years of experience using advanced statistical techniques for experiment design, model development and deployment. Must have multiple, robust examples of using these techniques to measure effectiveness of data driven insights to solve business problems on large-scale data sets
5+ years of experience with one or more programming languages such as Python, R, PySpark
Expert-level knowledge of SQL with strong data exploration and manipulation skills
Experience using cloud platforms such as GCP and AWS for model development and operationalization is preferred
Must have superb quantitative reasoning and interpretation skills with strong ability to provide analysis-driven business insight and recommendations
Excellent written and verbal communication skills; ability to work well with peers and leaders across data science, product, marketing, and engineering organizations
Creative problem-solver who simplifies problems to their core elements
Experience with credit, transaction or other types of financial data is a big plus


Senior Data Scientist

Before you read on, take a look around you. Chances are, pretty much everything you see has been shipped, often multiple times, in order to get there. E-commerce and parcel shipping volumes are exploding but so are customer expectations about shipping speed and cost. Managing shipping and logistics operations to meet increasingly exacting demands is an extremely hard endeavor, especially for SMBs who can be left in the dust by larger and far more sophisticated competitors. But this does not have to be so.

At Shippo, our goal is to level the playing field by providing businesses with access to shipping tools and terms that would not be available to them otherwise. We lower the barriers to shipping for businesses around the world, and move shipping from a pain point to a competitive advantage.

Through Shippo, e-commerce businesses, from fast-growing brands to mom-and-pop shops are able to connect to multiple shipping carriers around the world from one API and dashboard, and seamlessly run every aspect of their shipping operations, from checkout shipping options to returns.

Join us to build the foundations of something hard yet meaningful, roll up your sleeves, and get important work done everyday. Founded in 2013, and funded by top-tier investors likeD1 Capital Partners, Bessemer Venture Partners, Union Square Ventures, Uncork Capital, VersionOne Ventures, FundersClub, we are a fast-growing and proudly distributed Unicorn with hubs in San Francisco and Austin. We are also featured in Wealthfront’s Career Launching List  and Forbes’ Cloud 100 list of fast growing startups.

About the Role

As a Senior Data Scientist,  you will define, identify, and execute insights empowering our customers to improve operational efficiencies and provide a world-class shipping experience. This will encompass identifying and parsing data, combining data from various sources, conducting exploratory analysis, identifying and visualizing trends, building and validating models, retraining and improving model performance, and getting it ready for deployment in production. The Intelligence team contains both data scientists and software engineers responsible for creating and implementing state-of-the-art machine learning algorithms. The primary responsibility of this role is to assist in algorithm development.  Experience with advanced machine learning, experience working with BI tools and a keen analytical mind are key for success in this fast-paced environment.

Responsibilities

Develop and build machine learning prototypes to solve business problems using algorithms based on machine learning, statistics, and optimization
Partner with engineering/product to productionize those algorithms and create impact in production.
Design ML experiments and interpret the results to draw detailed and impactful conclusions.
Propose and guide the machine learning framework to drive business insight and facilitate decisions.
Establish standard methodologies for data science including modeling, coding, analytics, and experimentation.

Requirements

Graduate degree in Statistics, Economics, Applied Mathematics, Computer Science, Engineering, or other Quantitative Field of Study
Expertise in  exploratory data analysis, statistical analysis, and testing, and model development using Python and SQL
3+ years work experience in predictive analytics research that drives analytic product innovation and implementation
Ability to work efficiently at scale with large data sets
Ability to handle multiple mission-critical projects simultaneously while meeting deadlines
Exceptional problem-solving skills
Excellent oral and written communication skills

Salary range reflected is an estimate of base pay and is for the primary location of San Francisco. Pay Range: $150,000 - $220,000. Base pay range may vary if an offer is made for work in a different location or a candidate with a different level of skill and experience.

Benefits and Perks

Medical, dental, and vision healthcare coverage for you and your dependents. Pets coverage is also available!
Flexible policy for PTO and work arrangement
3 VTO days for ShippoCares volunteering events
$2,500 annual learning stipend for your personal and professional growth
Charity donation match up to $100
Free daily catered lunch, drinks, and snacks
Fun team events outside of work hours - happy hours, “escape room” adventures, hikes, and more!


Data Scientist

Before you read on, take a look around you. Chances are, pretty much everything you see has been shipped, often multiple times, in order to get there. E-commerce and parcel shipping volumes are exploding but so are customer expectations about shipping speed and cost. Managing shipping and logistics operations to meet increasingly exacting demands is an extremely hard endeavor, especially for SMBs who can be left in the dust by larger and far more sophisticated competitors. But this does not have to be so.

At Shippo, our goal is to level the playing field by providing businesses with access to shipping tools and terms that would not be available to them otherwise. We lower the barriers to shipping for businesses around the world, and move shipping from a pain point to a competitive advantage.

Through Shippo, e-commerce businesses, from fast-growing brands to mom-and-pop shops are able to connect to multiple shipping carriers around the world from one API and dashboard, and seamlessly run every aspect of their shipping operations, from checkout shipping options to returns.

Join us to build the foundations of something hard yet meaningful, roll up your sleeves, and get important work done everyday. Founded in 2013, and funded by top-tier investors likeD1 Capital Partners, Bessemer Venture Partners, Union Square Ventures, Uncork Capital, VersionOne Ventures, FundersClub, we are a fast-growing and proudly distributed Unicorn with hubs in San Francisco and Austin. We are also featured in Wealthfront’s Career Launching List  and Forbes’ Cloud 100 list of fast growing startups.

About the Role

As a Data Scientist,  you will define, identify, and execute insights empowering our customers to improve operational efficiencies and provide a world-class shipping experience. This will encompass identifying and parsing data, combining data from various sources, conducting exploratory analysis, identifying and visualizing trends, building and validating models, retraining and improving model performance, and getting it ready for deployment in production. The Intelligence team contains both data scientists and software engineers responsible for creating and implementing state-of-the-art machine learning algorithms. The primary responsibility of this role is to assist in algorithm development.  Experience with advanced machine learning, experience working with BI tools and a keen analytical mind are key for success in this fast-paced environment.

Responsibilities

Develop and build machine learning prototypes to solve business problems using algorithms based on machine learning, statistics, and optimization
Partner with engineering/product to productionize those algorithms and create impact in production.
Design ML experiments and interpret the results to draw detailed and impactful conclusions.
Propose and guide the machine learning framework to drive business insight and facilitate decisions.
Establish standard methodologies for data science including modeling, coding, analytics, and experimentation.

Requirements

Graduate degree in Statistics, Economics, Applied Mathematics, Computer Science, Engineering, or other Quantitative Field of Study
Expertise in  exploratory data analysis, statistical analysis, and testing, and model development using Python and SQL
Ability to work efficiently at scale with large data sets
Ability to handle multiple mission-critical projects simultaneously while meeting deadlines
Exceptional problem-solving skills
Excellent oral and written communication skills

Benefits

Benefits: medical, dental, vision, (90% covered by the company, incl. dependents), and pets coverage
Flexible PTO + work hours
Dog are welcomed in the office
3 VTO days for ShippoCares volunteering events
$2,500 yearly learning stipend for your personal growth
Free lunch / drinks / snacks
Fun team events outside of work hours - happy hours, “escape room” adventures, hikes, and more!

Benefits and Perks

Medical, dental, and vision healthcare coverage for you and your dependents. Pets coverage is also available!
Flexible policy for PTO and work arrangement
3 VTO days for ShippoCares volunteering events
$2,500 annual learning stipend for your personal and professional growth
Charity donation match up to $100
Free daily catered lunch, drinks, and snacks
Fun team events outside of work hours - happy hours, “escape room” adventures, hikes, and more!


Senior Data Scientist

Who you are:

You're a dedicated Senior Data Scientist who has experience sorting, analyzing, and delivering relevant information from massive amounts of unstructured data. You will have experience analyzing data, asking, and answering data-driven and key product/business questions. You will have experience building and integrating Deep Learning and Machine Learning models for production and communicating results to stakeholders from different groups. You will work with engineers, product managers and other teams to solve challenging problems with your data science skills. You are passionate about having a positive impact on the world. You are enthusiastic about working on some of the most challenging problems in AI and are a passionate builder of solutions that directly contribute to products.
The opportunity:

Iterate quickly while making savvy choices in implementing approaches to analyze massive amounts of data.
Work directly on all aspects of Data Science problems with other group members: from inception (brainstorming), to data exploration and implementation of methods created in-house, to productionizing approaches to apply our AI models.
Work as a liaison between the AI Group and our team of Domain Experts in defining the right problems to address and in rapidly answering data-driven questions on impactful real-world events.
Excel in placing a human-centered focus on the work (context, end-user impact, etc), finding solutions that work in practice and have significant impact.
Senior candidates are expected to lead technical areas and/or people.

Minimum qualifications

M.S. in Data Science, Machine Learning, Computer science or a related field. Ph.D. studies in any field a plus (Math, Statistics, Physics, etc.).
5+ years of work experience in machine learning required (NLP, Computer Vision).
Experience in Scala, Python, or similar languages.
Familiarity with machine learning and deep learning tools (TensorFlow, PyTorch, Scikit-learn, etc)
Ability to communicate complex quantitative results in a clear, precise and actionable manner.
Self-motivation and an ability to handle multiple competing priorities in a fast-paced environment.
Ability to work both independently and collaboratively within a team.

Why you should work here:

We recognize and reward hard work with:

company paid benefits for employees and their dependents, including medical, dental, vision, disability and life insurance
401(k) savings plan with company matching
flexible spending account for out-of-pocket medical, transit, parking and dependent care expenses

We want you to be your best, authentic self by supporting you with:

a diverse, driven, and passionate team of coworkers who want you to succeed
individual learning and development fund and professional training
generous paid time off; including sick leave and 100% company paid parental leave
in-office perks such as a kitchen stocked with snacks and beverages, and catered meals
remote working friendly perks such as expanded telehealth options for mental and physical well being, virtual yoga, meditation and health and fitness app reimbursements

…and this is just to name a few!
Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status.
#LI-AG
#LI-Remote


Data Scientist Product Analytics

Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect entrepreneurs with buyers around the world. Etsy, Inc.'s 'house of brands' portfolio has expanded to now include four individually distinct ecommerce brands – Etsy, fashion resale marketplace Depop, musical instrument marketplace Reverb, and Brazil-based handmade goods marketplace Elo7. As an Etsy employee, you’ll tackle unique problems alongside talented coworkers committed to Keeping Commerce Human. We're large enough that you'll focus on meaningful, complex challenges, but small enough that you can make a rewarding impact.
Job Description
Data scientists at Etsy use rigorous methods to generate insights that inform product, engineering, and business decisions across the company. We collaborate with partner teams through all stages of development: actively uncovering opportunity areas, crafting experiments to test hypotheses, analyzing the impact of our efforts, and highlighting takeaways.
Learning new skills and techniques is not only a requirement but a perk of the job! We are always looking for opportunities to grow. Our mission is to guide our partner teams with data and insights and tell the story of how we attract and retain our users — to teams, to senior management, and to the community.
In this role, you would partner closely with our Visual Discovery team, whose focus is bringing shoppers back to Etsy with rewarding and engaging experiences and items.
We are considering remote candidates based in the US for this position. Etsy offers three different work modes to meet the variety of needs and preferences of our team: Flex mode for candidates who are comfortable traveling to an office location 2+ times per week, Remote mode, and Office-based mode. Learn more about our flexible work modes and vaccination policy here.
About the Role
In this role you will:
Transform raw data into impactful analysis characterized by strong data governance/documentation, rigorous techniques, and actionable recommendations.Partner with product, engineering, design teams; use behavioral and transactional data to shed light on our users and our product experience, identify areas for improvement, and drive decision-making.Identify impactful metrics to understand the performance of products, develop reporting dashboards to track progress, and ingrain these metrics into teams’ day-to-day decision-making.Lead experimentation, help teams set strong hypotheses, and deliver robust analysis of experiment results.Continually evaluate and refine your technical toolkit; teach what you learn to the team.
Qualifications
About YouIdeally you'll bring:
2-4 years experience in a data scientist or data analyst role in which you extracted meaning from big data sets with little engineering support.Understanding of the principles of A/B testing, and experience crafting and analyzing experiments.Proficiency in SQL and familiarity with either R or Python. Bonus points for experience with the Hadoop ecosystem or additional scripting languages (Scala, PHP, Ruby, etc.)Experience with Looker, Tableau, or other data visualization software is a plus.Desire to advance your technical skill set and to apply new methods to impactful questions.Ability to communicate your insights verbally, visually, and in writing, and care for the quality and integrity of your work.Ability to play a key role on a cross-functional team.Passion for subjects such as experimental design, data visualization, and statistical analysis techniques.
Additional Information
What's Next
If you're interested in joining the team at Etsy, please send a cover
letter and resume telling us why you'd be right for the position. As you've
hopefully seen already, Etsy is a place that values individuality and
variety. We don't want you to be like everyone else -- we want you to be
like you! So write to us and tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace makes
us a more relevant, more competitive, and more resilient company. We
encourage people from all backgrounds, ages, abilities, and experiences to
apply. Etsy is an equal opportunity employer. We do not discriminate on the
basis of race, color, ancestry, religion, national origin, sexual
orientation, age, citizenship, marital or family status, disability,
gender, gender identity or expression, pregnancy or caregiver status,
veteran status, or any other legally protected status. We will ensure that
individuals with disabilities are provided reasonable accommodations to
participate in the job application and interview process, to perform
essential job functions, and to receive other benefits and privileges of
employment. While Etsy supports visa sponsorship, sponsorship opportunities
may be limited to certain roles and skillsets.
For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska. For candidates who will work remotely from Colorado, visit thislink for information related to Colorado's Equal Pay for Equal Work Act.


Senior Data Scientist Trust Safety

Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect entrepreneurs with buyers around the world. Etsy, Inc.'s 'house of brands' portfolio has expanded to now include four individually distinct e-commerce brands - Etsy, fashion resale marketplace Depop, musical instrument marketplace Reverb, and Brazil-based handmade goods marketplace Elo7. As an Etsy employee, you'll tackle unique problems alongside talented coworkers committed to Keeping Commerce Human. We're large enough that you'll focus on meaningful, complex challenges, but small enough that you can make a rewarding impact.
Job Description
We are looking for an experienced Analytics professional to support our Trust & Safety team, which focuses on reducing risk in our marketplace. Your team’s work is foundational to Etsy’s dedication to providing world-class customer support and a safe, trusted marketplace for the millions of buyers and sellers in the Etsy community.
As Senior Data Scientist partnered with Trust & Safety you will work to consistently deliver clear insights while providing access to metrics, data, and tools needed for decision-making and optimization at all levels of the organization. Do you want to help Etsy tackle complex risks including hate speech in the marketplace, money laundering, and fraud prevention? If so, this could be a great match.
This is a full-time position, reporting to the Senior Manager of Risk & Operations, Analytics.
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. For candidates who will work remotely from Colorado, visit this link for information related to Colorado's Equal Pay for Equal Work Act.
About the Role
In this role you will:
4+years of proven success as a data analyst focused on supporting teams with data access, reporting, and insightsExperience employing analytics to guide strategy in areas like payments compliance, content moderation, AML, etc.Successful track record of distilling highly complex problems into narratives that are concise, action focused, and memorable, and express your recommendations with both conviction and finesse.High proficiency with advanced analytical techniques and SQLAbility to communicate insights to senior executives verbally, visually, and in writingA trust in and commitment to Etsy’s vision, mission and values.
Qualifications
About You
Ideally, you'll bring:
4+years of proven success as a data analyst focused on supporting teams with data access, reporting, and insightsExperience employing analytics to guide operational process and strategy in areas like content moderation, IP infringement, etc.Successful track record of distilling highly complex problems into narratives that are concise, action focused, and memorable, and express your recommendations with both conviction and finesse.High proficiency with advanced analytical techniques and SQLAbility to communicate insights to senior executives verbally, visually, and in writingA trust in and commitment to Etsy’s vision, mission and values.
Additional Information
What's Next
If you're interested in joining the team at Etsy, please send a cover
letter and resume telling us why you'd be right for the position. As you've
hopefully seen already, Etsy is a place that values individuality and
variety. We don't want you to be like everyone else -- we want you to be
like you! So write to us and tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace makes
us a more relevant, more competitive, and more resilient company. We
encourage people from all backgrounds, ages, abilities, and experiences to
apply. Etsy is an equal opportunity employer. We do not discriminate on the
basis of race, color, ancestry, religion, national origin, sexual
orientation, age, citizenship, marital or family status, disability,
gender, gender identity or expression, pregnancy or caregiver status,
veteran status, or any other legally protected status. We will ensure that
individuals with disabilities are provided reasonable accommodations to
participate in the job application and interview process, to perform
essential job functions, and to receive other benefits and privileges of
employment. While Etsy supports visa sponsorship, sponsorship opportunities
may be limited to certain roles and skillsets.
For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska. For candidates who will work remotely from Colorado, visit thislink for information related to Colorado's Equal Pay for Equal Work Act.


Senior Data Scientist Product Analytics

Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect entrepreneurs with buyers around the world. Etsy, Inc.'s 'house of brands' portfolio has expanded to now include four individually distinct ecommerce brands â�� Etsy, fashion resale marketplace Depop, musical instrument marketplace Reverb, and Brazil-based handmade goods marketplace Elo7. As an Etsy employee, youâ��ll tackle unique problems alongside talented coworkers committed to Keeping Commerce Human. We're large enough that you'll focus on meaningful, complex challenges, but small enough that you can make a rewarding impact.
Job Description
Data scientists at Etsy use rigorous methods to generate insights that inform product, engineering, and business decisions across the company. We collaborate with partner teams through all stages of development: actively uncovering opportunity areas, crafting experiments to test hypotheses, analyzing the impact of our efforts, and highlighting takeaways.
Learning new skills and techniques is not only a requirement but a perk of the job! We are always looking for opportunities to grow. Our mission is to guide our partner teams with data and insights and tell the story of how we attract and retain our users — to teams, to senior management, and to the community.
In this role, you would partner closely with our Search Ranking & Matching teams, whose focus is improving the relevance and personalization of search page results via machine learning models.
We are considering remote candidates based in the US for this position. Etsy offers three different work modes to meet the variety of needs and preferences of our team: Flex mode for candidates who are comfortable traveling to an office location 2+ times per week, Remote mode, and Office-based mode. Learn more about our flexible work modes and vaccination policy here.
About the RoleIn this role you will:
Transform raw data into impactful analysis characterized by strong data governance/documentation, rigorous techniques, and actionable recommendations.Partner with product, engineering, design teams; use behavioral and transactional data to shed light on our users and our product experience, identify areas for improvement, and drive decision-making.Identify impactful metrics to understand the performance of products, develop reporting dashboards to track progress, and ingrain these metrics into teams’ day-to-day decision-making.Lead experimentation, help teams set strong hypotheses, and deliver robust analysis of experiment results.Raise the skill level of the entire analytics team through the creation of outstanding work, mentorship, and the introduction of better practices, processes, and tools.
Qualifications
About YouIdeally you'll bring:
4+ years experience in a data scientist or data analyst role in which you extracted meaning from big data sets with little engineering support.Experience guiding product teams to identify high-impact opportunities, setting meaningful goals against key outcomes, and driving decisions. Experience working with Search and/or Machine Learning focused product teams is a plus!Proficiency in SQL, and experience with R/Python and other scripting/automation techniques; bonus points for experience with the Hadoop ecosystem and Looker, Tableau, or other data visualization software.Deep understanding of experimentation theory and practice.Desire to advance your technical skills and to apply new analytical methods to impactful questions.Ability to distill highly complex problems into narratives that are concise, actionable, and memorable, and express your recommendations with both conviction and finesse.Experience acting as a mentor, guiding others to make their own work better and more efficient.
Additional Information
What's Next
If you're interested in joining the team at Etsy, please send a cover
letter and resume telling us why you'd be right for the position. As you've
hopefully seen already, Etsy is a place that values individuality and
variety. We don't want you to be like everyone else -- we want you to be
like you! So write to us and tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace makes
us a more relevant, more competitive, and more resilient company. We
encourage people from all backgrounds, ages, abilities, and experiences to
apply. Etsy is an equal opportunity employer. We do not discriminate on the
basis of race, color, ancestry, religion, national origin, sexual
orientation, age, citizenship, marital or family status, disability,
gender, gender identity or expression, pregnancy or caregiver status,
veteran status, or any other legally protected status. We will ensure that
individuals with disabilities are provided reasonable accommodations to
participate in the job application and interview process, to perform
essential job functions, and to receive other benefits and privileges of
employment. While Etsy supports visa sponsorship, sponsorship opportunities
may be limited to certain roles and skillsets.
For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska. For candidates who will work remotely from Colorado, visit thislink for information related to Colorado's Equal Pay for Equal Work Act.