Principal Data Scientist Confluence Performance Americas

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Confluence is changing the way companies collaborate and share information. More than half of Fortune 100 companies, hundreds of thousands of teams, and millions of users use Confluence every day to get their jobs done, faster and more collaboratively. Join us as we unleash the power of teams all over the globe.
We are looking for a top-tier data scientist to work on Confluence product analytics. The role needs to manage a multi area within product analytics, with the possibility of having direct reports.
Product performance and scalability is the backbone of any B2B cloud products. On top of this, user’s needs for workplace collaboration products are fast evolving.  Therefore, this role is multidisciplinary.  You need to have the skills to dig deep into both performance and API data as well as usage data,  connect the dots together quickly and communicate insights in a way that persuades action. Your product managers, UX designers, and full stack software engineers, lean on you for data informed decisions. Particularly for this role, you will have the opportunity to shape product roadmap.
On the first day, we'll expect you to have:
5+ years of experience in a product analytics functionExpertise in SQL and proficiency in PythonThorough understanding of usage data creation process and experience of partnering with engineering teams for data trackingExperience in designing and analyzing product experimentsAbility to turn complex findings into a compelling narrative and a set of actionsTrack record of influencing decision-making using analyticsBackground in Engineering or quantitative subject (e.g. Mathematics, Physics, etc)
It's great, but not required if you have:
Experience in both enterprise (or B2B) as well as consumer (or B2C) environmentsManagement experience


Senior Data Scientist Product Analytics Agile Devops Australia New Zealand

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
With a sufficient timezone overlap with the team, we’re able to hire eligible candidates for this role from any location in Australia and New Zealand. If this sparks your interest, apply today and chat with our friendly Recruitment team further.
Atlassian helps teams everywhere change the world, and our software is used by more than half of the Fortune 100 companies, connecting people with content and co-workers they need to get their jobs done, faster. Our products are revolutionising the software industry and helping teams collaborate and craft the magic that delivers their best work. Think NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear, your work directly impacts the products they use to advance humanity!
Do you have a passion for crafting products and insights with data and do you love finding the next big ‘aha’ which changes the way a business thinks about their customers? Would you like to drive real change with global impact at the HQ of the world's hottest SaaS company?
We'd love you to join us!
We are looking for a Senior Data Scientist to join our Product Analytics team. We’re seeking someone with strong business instincts, creativity and analytics mastery, who is passionate about applying these skills to build data and analytics foundations that drive smarter product decisions and ultimately, delight our customers.
You’ll be part of Atlassian’s multi-discipline Agile & DevOps product organisation whose mission is to enable our customers to connect every dimension of their work with greater visibility, organisation, and impact through our industry leading Jira Software.
In this role you'll get to:
Collaborate with analytics and product leaders to identify high impact opportunities for analysis and align analytics & data science priorities with the company strategy and product roadmapDesign targeted explorations of our seriously big data, in order to understand trends, find opportunities, and make recommendations to improve user journeys and customer valueDrive the measurement culture and understand the impact our product strategyEnvision, scope, and execute projects by collaborating with partners, customer research, data engineers and other analystsShare your high-quality insights and recommendations to various levels of leadership to drive critical business decisionsBe part of building an outstanding analytics culture at Atlassian. Leading by example, through education and creation of self-service tools, to make a lasting change in how your partners use data to make decisions
On the first day, we'll expect you to have:
Proven experience applying your analytics skills to projects which have had a positive impact to company level business and product decisionsAn agile development mentality, appreciating the benefit of constant iteration and improvementA very high bar for output quality, balancing “having something now" vs. "perfection in the future"Strong ability to communicate, explaining complex concepts to diverse audiences, and crafting compelling storiesFamiliarity working with Product Management, Engineering, Design, Customer Research and Data Engineering teamsExpertise in data manipulation and statistical programming languages (e.g. SQL, R, Python), and knowledge of cloud data environments (e.g. AWS)Experience in using statistics as part of your role (e.g. regressions, A/B tests, forecasting)Proficiency in at least one visualisation tool (e.g. Tableau, R-Shiny)A degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)
It's a bonus, but not required, if you have:
Previously worked in global teams and high growth companiesAn understanding of the SaaS development, business model and metricsExperience in customer and/or product analytics, particularly in delivering outputs which can be used to advance analytics projects across an organisationExperience in building ETL pipelines using any tools or scripting languagesAre an active member of the broader analytics and data science communityAdvanced degree in Computer Science, Math or Statistics


Senior Data Scientist Australia New Zealand

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
With a sufficient timezone overlap with the team, we’re able to hire eligible candidates for this role from any location in Australia and New Zealand. If this sparks your interest, apply today and chat with our friendly Recruitment team further.
Do you get excited by the challenge of scaling a fast-growing company by powering it with data? Are you intrigued by the ever-evolving landscape of workplace collaboration products?
Using your eye for business and creative problem solving, you will build data products and generate insights that will allow our business and product leaders to make better-informed decisions. We’re growing fast, so there’ll be tons of opportunities for you to make an impact and take charge of the direction of your work.
Product Analytics at Atlassian is multidisciplinary. The ideal teammate is someone who has the skills to surface insights quickly, and communicate those insights in a way that persuades action by senior leaders, product managers, designers, marketers and engineers. You'll use SQL, R, and/or Python often, but you won't be at your desk all day. Part of your job is to improve the data literacy of your product team, teaching people when, where, and how to harness the data available.
You’ll be working within our JSM Product Analytics team collaborating primarily with the Jira Service Management (Sydney, Bangalore and Ankara) product development teams. These teams are working to build and develop Atlassian products to unleash the potential of Customer’s DevOps and ITSM teams!!
On your first day, we'll expect you to have:
Proven experience applying your analytics skills to projects which have had a positive impact to strategic and product roadmap decisionsStrong ability to communicate. Explaining complex concepts to diverse audiences, crafting compelling stories, and managing multiple stakeholdersExpertise and experience in working with very large data sets in SQL Expertise and experience in modelling and visualisation in another data programming language (Python, R, etc.)Proficiency in one or more analytics and visualisation tools (e.g., Tableau, Mode, Power BI)Expertise in foundational statistics (data distributions, inferential statistics, probability etc.) and modelling (regression, classification, clustering etc.)
It's great, but not essential, if you have:
Familiarity with event-based analytics, data instrumentation and loggingExperience in breaking down complex problems using MECE frameworksExperience in designing and analysing experiments that drive key decisionsExperience working in a global environment with remote teamsKnowledge of and experience with widely-used workplace collaboration tools and integrations between those toolsAn understanding of the SaaS development, business model and metricsAre an active member of the broader analytics and data science community


Data Science Leader

Empower the Individual Through Crypto
Gemini is a crypto exchange and custodian that allows customers to buy, sell, store, and earn more than 30 cryptocurrencies like bitcoin, bitcoin cash, ether, litecoin, and Zcash. Gemini is a New York trust company that is subject to the capital reserve requirements, cybersecurity requirements, and banking compliance standards set forth by the New York State Department of Financial Services and the New York Banking Law. Gemini was founded in 2014 by twin brothers Cameron and Tyler Winklevoss to empower the individual through crypto.
Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your journey. We build crypto products that are simple, elegant, and secure. Whether you are an individual or an institution, we want to help you buy, sell, and store your bitcoin and cryptocurrency. Crypto is not just a technology, it's a movement.
At Gemini, our mission is to empower the individual and that includes giving our employees flexibility of choice — our Office Optional Policy allows employees to choose to work from one of our physical locations or from home.Select roles that are location-specific will still be eligible for flexible schedules.
The Department: Data
Data is central to all of our business functions and drive many of our most important decisions at Gemini. As a result, the analysts, scientists, and engineers that make up the Data team are uniquely positioned to advise and influence cross-functional projects. These projects cover a wide-range of topics including product strategy, user acquisition and journey, cryptocurrency performance and project development, and crypto’s position as a technology, industry, and asset class within the context of the global financial markets at large.
The Role: Data Science Leader
As the leader of the data science function, you’ll steer Gemini’s data science strategy and lead its execution. You will build and lead a high-performance data science team to solve diverse and complex business problems. You will leverage your experience and communication skills to work across business teams to build and develop innovative data science models and algorithms. You will inspire and mentor a strong team through your leadership and strong hands-on capability to transform decision-making and build solutions for different business groups at Gemini. Communicating your insights and driving new product development across the organization is paramount to success. You will also be looked upon to share Gemini’s data vision and products externally.
Responsibilities:

Lead a team responsible for building, scaling and deploying statistical and machine learning models
Establish a vision and roadmap for data science function to strategically change the economics of our business
Coach and mentor capable data scientists and continuously drive them to achieve higher level of excellence
Be able to distill complex models and analysis into compelling insights for our stakeholders and executives
Be a key driver in bringing innovative ideas to the table that are backed by robust analysis, models and insights
Be a hands-on leader and contribute in building and productionizing data science models and algorithms for business analytics and consumer facing applications
Lead applied research and build state-of-art data science solutions for complex customer centric business problems
Develop new tools and solutions to enable stakeholders to consume and understand data more intuitively
Stay up-to-date with data science tools and methodologies in technology and financial domain
Partner with cross-functional teams and translate business problems into technical requirements

Qualifications:

Masters or PhD(preferred) in Statistics, Applied Math, Computer Science or related fields.
10+ years of work experience in analytics and data science domain focusing on business problems
7+ years of work experience using statistical and data mining techniques
5+ years of experience deploying statistical and machine learning models in production
3+ years of experience in integrating data science models into applications
Skilled in programming languages like Python, R and SQL
Sound knowledge in dealing with large data sets for analytical approach and quantitative methods

Ability to influence stakeholders and converse at the executive level

Ability to formulate data into actionable insights and business decisions
Solid understanding of cloud computing and infrastructure concepts
Good understanding of deep learning algorithms and workflows
Experience with one or more big data tools and technologies like Databricks, SageMaker, Hadoop, Spark, Presto
Strong technical and business communication

It Pays to Work Here
We take a holistic approach to compensation at Gemini, which includes:

Competitive Compensation and Profit-Sharing Equity
Flexible vacation policy
Retirement Plan Matching
Generous Parental leave
Comprehensive health plans
Training and professional development

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace and affirmative action employer. If you have a specific need that requires accommodation, please let a member of the People Team know.
#LI-PL1#LI-REMOTE


Senior Data Scientist Product

About Typeform
One sunny Barcelona morning, two designers sat down to build a beautiful lead gen form for a bathroom company’s showroom. They ended up reimagining the data collection experience, and realized it was one idea they wouldn’t be flushing down the toilet. Today, Typeform is a team of over 300 people from more than 35 countries, with offices in Barcelona, Spain and San Francisco, US.
We’re building a world where brands, businesses, and their communities can have more personal relationships with the people who matter most. To do this, we give people the tools they need to have conversational experiences at scale—because meaningful relationships start with conversations.
From online lead forms and engaging quizzes, to face-to-face encounters in the office, help us build more meaningful relationships, one conversation at a time.
About the Team
At Typeform, the Data team is making data our #1 asset. And we know how important that is— our product helps people collect information in the best way possible, by making it conversational.
That’s why we need you. We’re looking for a Senior Data Scientist to work within our Analytics team.
The Analytics Team work together with our Product department to unlock customer acquisition and retention. We are responsible for identifying and monitoring initiatives that drive customer value, understanding the needs and sentiments of our current customers, as well as for Market Research, Data Analysis, and development of optimization models to enable data-driven decisions and automated optimizations.
About the Role
Here’s what you’ll do:
Partner with Product to proactively influence the activation and retention roadmap, while ensuring our customers get the most value.
Continuously derive insights from our customers' behaviors & journeys with advanced machine learning and statistical techniques.
Develop non-production machine learning models to predict customer behavior that will eventually get deployed by the Machine Learning team.
You’ll define and update key operating and user-engagement metrics that help us understand the health and forecast the future of our business.
Develop and maintain models to predict customer engagement, LTV and retention.
Work with our Data Visualization Experts to develop dashboards that visualize the key user-engagement metrics and marketing funnel from awareness to purchase.
Communicate results and insights from your analyses to our top stakeholders, including founders and investors.
Collaborate, learn, share, and brainstorm with other data scientists.
About you
Here’s what we’re after:
You’ve got 5+ years of experience as a data scientist. Experience working closely with Product is a plus.
You have a proven track record of statistical modeling / applied machine learning with a focus on churn prediction, LTV prediction, and customer behavioral clustering.
You have experience with A/B and Multivariate test design and implementation.
You’re pragmatic. You value simple and effective solutions over complicated brain-melters.
You can take a complex concept and make it sound simple, using clear visual references to help.
You like taking on big challenges—given the appropriate time and resources.
You’re hungry to learn and embrace healthy debate.
You're empathic, enthusiastic, and collaborative.
You’ve are proficient building queries with SQL.
You have experience with AWS or other cloud systems.
You are an expert in Python or R, and have some experience in implementation (Scala/Java).
Having a working knowledge of Big Data technologies (e.g. Spark or Redshift) is a plus.
You’re fluent in English and eager to work in a multicultural, international environment.
Think you’re a good fit? Hit apply—success might be just around the corner 😉
*Today, more than 2.5M people from all over the world use Typeform. We celebrate the diversity of our customer base, and we want our employees to reflect those differences. At Typeform, we’re committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We strive to be an equal opportunity workplace.


Data Scientist Varying Levels

Founded in 2016, Windfall Data is on a mission to determine the net worth of everyone on the planet. The company helps nonprofit and for-profit organizations to more effectively identify, understand, and engage affluent consumers with the industry’s most reliable and accurate dataset available. More than 750 organizations use Windfall Data to identify and engage their most promising constituents. As a company, we are growing quickly, and every member of our team has a tangible impact on the success of our business and our customers.

At Windfall Data, data is our product — and data science lies at the heart of everything we do. We are looking for experienced data scientists who are able to run machine learning models in production from day one, and who are driven to deeply understand and build upon our unique data assets.

Responsibilities

Build production-quality, custom predictive models to enhance and expand our core product
Investigate new data sources, perform statistical analyses, and document findings
Work with engineering and data vendors to improve the accuracy of our data sources

Requirements

Advanced degree in a quantitative discipline
5 – 12+ years of full-time data science experience, including applied techniques in modern data science and machine learning in production environments
Expert knowledge of Python & SQL
Collaborative, team-focused attitude with a strong desire to advance the product and learn new things
The ability to communicate technical ideas to a non-technical audience
Self-starter with experience turning ideas into actionable designsExcellent written and verbal communication
Eligible to work within the United States

Perks

Small team = opportunity for a big impact
Compensation includes equity and a competitive salary
Excellent company-sponsored benefits
HQ at great location in downtown SF (Jackson Square), option for remote work within US


Director Of Data Science

Outdoorsy is looking for a Director of Data Science to join our Engineering team. If you’re passionate about the outdoors and would like to work in a fast-paced environment, then we want you! Fun fact: Outdoorsy has been recognized on the Forbes list of America’s Best Startup Employers in both 2020 and 2021.Job SummaryA hands-on data leader who enjoys both data engineering and science. You're a stickler for proper data infrastructure and you're not afraid to voice your opinion if something isn't designed properly. A/B testing design should be second nature as we lean tech-forward into production-ready ML implementations for automated risk analysis, search ranking and dual-sided marketplace pricing. We’ve got a passionate data team already with room to grow.Qualifications Strong communication and interpersonal skills. Must have an interest in working in a highly collaborative environment Experience designing and implementing a/b tests following statistical principles Must be a "doer" with a "roll up your sleeves" attitude 5+ years of architecting data and business intelligence platforms/ data warehouse 3+ years of experience building, designing, and managing production machine learning models with a focus on optimization Experience presenting data and using data visualization tools such as Tableau  Experience transforming vague problems into algorithmic solutions Strong manager of people and projects across reporting lines Excellent influencing skills and a proven collaborator Highly organized with outstanding project management and execution skills Ability to juggle multiple priorities and make things happen in a fast-paced, dynamic environment; strong bias for action Benefits & Perks Opportunity to help build a company from an early stage Competitive salary Equity in one of the world's fastest growing companies Comprehensive health and welfare benefits 401(k) Match Flexible PTO 2 paid RV rentals per year-- we believe in balance and taking the time to nourish mind, body, and soul.  About usOutdoorsy is the most trusted RV rental and outdoor experiences marketplace on the planet. We have grown from a lofty white-board idea in 2015 to over $1B in total transactions. Outdoorsy’s mission is making memorable outdoor experiences accessible to everyone. We are creating jobs and helping individuals, couples, and families realize financially life-changing freedom. With offices worldwide in the US, Canada, Australia, Europe and the UK, we’re mobilizing the 56+ million idle RVs and campervans around the world to ensure everyone has the access, choice, and opportunity to safely spend more time outside.We're passionate about our customers, collaborative consumption, community, and entrepreneurship. We’ve been motivated by our values from day one: we always put the customer ahead of ourselves. We like winning. We make long-term progress in the world and repay our gratitude in every community interaction.Outdoorsy has been recognized on the Forbes list of America’s Best Startup Employers in both 2020 and 2021.


Director Of Data Science

Biobot’s mission is to build resilient and inclusive public health infrastructure by turning our sewers into early warning health observatories. During the COVID-19 pandemic, Biobot pioneered wastewater analysis (based on what is excreted in urine and stool) as a tool for tracking the progression of the virus through communities. We are now the leader in pathogen detection for community-level and building wastewater, as evidenced by the U.S. Department of Health and Human Services’ recent award to sponsor COVID-19 monitoring by Biobot of over 300 hundred wastewater treatment plants representing over 100M people. Since the Company’s  founding in 2017 from a Massachusetts Institute of Technology (MIT) laboratory, we have been building capabilities to combat public health crises like the opioid epidemic, and plan to expand our early warning platform to serve as a resource management hub for disease, nutrition disparities, and more. Please note that Biobot is currently unable to sponsor employment visas.

In this role you will be responsible for defining, organizing and leading the strategy related to our growing data set and product offerings built around this data. You will work with key stakeholders across the company from Labs, Science, Business, Engineering, and Product development to harvest our growing data set to offer unique insights that can be packaged and offered to customers through a suite of differentiated digital product offerings. This role can be remote within the US, but travel will be required to our Boston and NYC offices.

What you will be doing

Define and grow Biobot’s data team. Establish team processes, foster a data-driven culture across the organization, and propel Biobot as a leader in data science, public health, and data for social impact.
Develop strategic roadmaps for Biobot’s data products, identifying new opportunities for wastewater-based data to have impact and where we can leverage other existing data to add value to our unique wastewater dataset.
Establish best practices for data science at Biobot, including tracking and sharing exploratory data analyses, versioning data, sharing insights across the organization, and communicating our work publicly to relevant communities.
Manage a team of data scientists, epidemiologists, and computational biologists who are developing statistical models to interpret variability in our data and extract community health insights, and coordinate analytics efforts to respond to customer feedback and questions.
Define and drive execution against core KPIs that govern the team’s progress, measurement of impact and effectiveness against company and team goals.
Represent the data science team and its work with Biobot’s leadership, helping set business strategy and driving high-impact decisions.

What you need to succeed

7+ years of relevant experience in data science, applied statistics, epidemiology, geospatial analysis, computational biology, or related.
4+ years of experience in managing and mentoring data science and engineering teams in a high scale technology company. Exceptional track record as a strong and inclusive coach, providing feedback and mentoring to fellow team members.
Experience developing algorithms and performing data analyses on complex noisy datasets, preferably with expertise in at least one of Bayesian statistics, signal processing, time series analysis, geospatial analysis and/or related concepts.
A mastery of either Python or R, with a working knowledge of at least Python, is required.
Demonstrated ability to communicate complex analytical and scientific concepts across a broad range of audiences, including the public, customers, company executives, and in-house technical experts.
Ability to lead organizational change by influencing others across various functions and navigating the team through new processes and/or technical advances.
Ability to drive complex projects from ideation to completion, ideally with formal project management experience.

What will help you succeed

Familiarity with modern software engineering best practices, including iterative/agile development, scientific software development lifecycles, version control, and troubleshooting and testing.
Familiarity with basic computational biology and bioinformatics concepts, including analysis of next-generation sequencing data, targeted or untargeted metabolomics, and/or other ‘omics data types.
An understanding of regulations which govern epidemiological data systems, including requirements for data privacy, accuracy, and security. Knowledge of best practices and high-quality data sources, especially as it relates to public health and population data.

At Biobot, we believe that the best technologists can improve society and we strive to build a workplace in which everyone can thrive. Our goal is to be a diverse team that is representative, at all job levels, of the society we live in. We encourage applications from women; non-binary, trans, and gender-non conforming individuals; Black and indigenous individuals, and people from other minoritized racial and ethnic groups; and other groups traditionally underrepresented in technology startups.


Data Science Manager

Description
The Data Science Manager is responsible for planning and implementing long-term strategies around developing and maintaining comprehensive customer and prospect databases, which can be leveraged for various purposes including servicing, marketing, operational streamlining, and customer support. This role will also interact heavily with Business Intelligence analysts seeking to access and utilize the data for approved purposes such as generating analytical insights and provide strategic direction to senior management. This position is expected to play a key role in supporting development of databases, models, insights, and data intelligence that supports marketing programs, marketing list execution, and customer analytics.
Key responsibilities include:
Planning, developing, and maintaining data environments that enable complex business analyticsManaging a team of technical staff members with backgrounds in IT, databases, and statisticsDeveloping long-term strategic plans to improve the data environment by adding data streams, functionality, tools, and cost efficienciesDocumenting the data environment and communicating regarding status and plans with senior management
Qualifications
Required Skills/Experience:
Ability to manage diverse teams with backgrounds in statistics, database development/maintenance, and information technology to build, deploy, and utilize BI systemsAbility to build business cases and secure resources from upper management for BI projects that will drive increased efficiency and growthAbility to successfully communicate analytic results, business insights, and resulting business implications to non-technical business partners7+ years of experience in SQL programming and use of BI tools to derive business insightsExperience with data security and information security auditsAbility to thrive in a fast pace work environment supporting multiple projects for a variety of stakeholders subject to rapidly changing priorities.Effectively communicates, both verbal and in writing, with technical and business teams.Proven ability to apply understanding of data architecture, relational database design principles, and software development life-cycle to create and support business intelligence solutions.
Preferred Skills/Experience:
10+ years of experience in Analytics/Database MarketingStrong programming skills and ability to utilize a variety of data/analytic software languages/tools (e.g., SQL, Oracle, JIRA, SAS, etc.)Proven track record of product development
Education, Certifications and/or Other Professional Credentials:
Bachelors degree in Statistics, Mathematics, Economics, or related field requiredMasters degree in Statistics or beyond preferred
Hour and Work Schedule:
Hours per week: 40
Work Schedule: 8:00-5:00
Equal Employment Opportunity
Citizens, its parent, subsidiaries, and related companies provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability or perceived disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague’s or a dependent’s reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws.
Equal Employment and Opportunity Employer/Disabled/Veteran
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Principal Data Scientist

Description
This Principal Data Scientist will be responsible for developing analytical insights and/or statistical models that optimize business and marketing spend, identify new business/marketing opportunities and/or provide strategic direction to senior management.
This position will collaborate directly with business partners to play a key role in the development and application of models, insights and data intelligence that supports business and marketing programs, customer analytics and operational improvements.
Primary responsibilities include:
Researching growing market trends and mine the Citizens data intelligence to develop new insights that can guide the strategic direction of the Citizens Bank lines of businessAnalyzing current business processes and programs and developing models/strategies/insights that can lead to a more optimal business performance and spend of marketing dollars.Documenting and communicating technical/analytic results for a non-technical audience
Location is not a barrier for this role and while our preference would be to have a chosen candidate with onsite capabilities in one of our corporate headquarters – we are open to remote employment within the United States for an experienced candidate.
Qualifications
Required Skills/Experience:
5 - 10 years of experience in Analytics/Database Marketing, with experience in Financial Services preferred5 - 10 years of experience in SAS and/or related programming languagesStrong written and verbal communication skills required with an ability to successfully communicate analytic results, business insights and resulting business implications to non-technical business partnersAbility to work in a team environment and collaborate with colleagues who have a background in statistics, database development/maintenance, and information technology Strong programming skills and ability to utilize a variety of data/analytic software languages/tools (e.g., SQL, SAS, R, Python, Splus, etc.)Deep knowledge of a variety of statistical concepts and procedures, including generalized linear models, machine learning algorithms, experimental design, stochastic processes, markov process modeling, response surface methodology, and statistical graphics
Education, Certifications and/or Other Professional Credentials:
Master's Degree in Statistics/Mathematics/Applied Math required, PhD preferred
This position is not available in Colorado.
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Senior Data Scientist

It’s Time For A Change…
Your Future Evolves Here
Evolent Health has a bold mission to change the health of the nation by changing the way health care is delivered. Our pursuit of this mission is the driving power that brings us to work each day. We believe in embracing new ideas, testing ourselves and failing forward. We respect and celebrate individual talents and team wins. We have fun while working hard and Evolenteers often make a difference in everything from scrubs to jeans.
Are we growing? Absolutely. We have seen about 30% average growth over the last three years. Are we recognized? Definitely. We were named one of “Becker’s 150 Great Places to Work in Healthcare” in 2016, 2017, 2018 and 2019 and are proud to be recognized as a leader in driving important Diversity and Inclusion (D&I) efforts: Evolent achieved a 95% score on its first-ever submission to the Human Rights Campaign's Corporate Equality Index; was named on the Best Companies for Women to Advance List 2020 by Parity.org; and we publish an annual Diversity and Inclusion Annual Report to share our progress on how we’re building an equitable workplace. We recognize employees that live our values, give back to our communities each year, and are champions for bringing our whole selves to work each day. If you’re looking for a place where your work can be personally and professionally rewarding, don’t just join a company with a mission. Join a mission with a company behind it.  What You’ll Be Doing:  The Sr. Data Scientist will support the building of AI products in an Agile fashion that empowers healthcare payers, providers, and members to quickly process medical data to make informed decisions and overall reduce health care costs. As a research scientist/engineer part of the Data Science team, you will be working primarily on structured and unstructured data to build statistical and machine learning applications to support various use cases around Claims, Payments, Clinical, Administration, Patient Care, and Fraud in Healthcare. These applications include but are not limited to computer vision, understanding the contents of the medical documents using natural health language processing techniques, Structured data in data warehouses, and integrating the processes into the overall AI pipeline and enterprise platforms. The Applications will be used dually for real-time operational processes with both automated and human-based decision making as well as contribute to reducing healthcare administrative costs, reducing the burden on Providers from administrative work, and improving the care of the patients while reducing overall fraud, waste, and Abuse in Healthcare. We work with all major cloud and big data vendors offerings including but not limited to (Azure, AWS, Google, IBM, etc.) to achieve AI goals in healthcare and support Evolent business.
Develop Statistical, Machine learning, and AI-related products to support Evolent Health business objectives, products and improve processing efficiency, reducing overall healthcare costsGather external data sets; build synthetic data, label data sets, and do Data engineering as per the needs for projectsApply software engineering skills and Cloud-native solutions to build ML/AI products to improve automation and improve user experiences leveraging structured/unstructured data, machine learning approach, distributed and cloud computing platformsBuild the Machine Learning and AI products — from platforms to systems for model training, versioning, deploying, storage, and testing models with creating real-time feedback loops to fully automated servicesWork closely and collaborate with Data Scientists, Machine Learning Engineers, IT teams, and Business stakeholders spread out across various locations in the US and India to achieve business goals
 The Experience You’ll Need (Required):
MS degree or above in Computer Science, Statistics & Mathematics, Physics, or related STEM fields3+ years of Industry experience related to Data engineering, Data Exploration, Statistical Analysis and building Machine learning models  Strong understanding of mathematical concepts including but not limited to linear algebra, advanced calculus, partial differential equations, and statistics including Bayesian approachesStrong programming experience including understanding of concepts in data structures, algorithms, and software engineering principlesGood understanding and experience with traditional data science approaches like sampling techniques, feature engineering, classification, and regressions, SVM, trees, model evaluations, anomaly, Fraud detectionExperience with developing and deploying products in production with experience in twoor more of the following languages (Python, C++, Java, Scala)Strong Unix/Linux background and experience with at least one of the following cloud vendors like AWS, Azure, and Google in multiple servicesStrong Data Visualizations skills to build dashboards and very good communication skills to present to a wider audience
 Finishing Touches (Preferred):
Experience with computer vision and natural languagePrior experience working in Health care industryMedical concepts with codes from standard ontologies (SNOMED CT, LOINC, RxNorm, ICD, etc.)Experience with Kubernetes and dockers  Experience building REST APIs for AI work and knowledge of microservices architecture  Experience working with team members spread globally.
 Technical requirements:
During the current pandemic Evolent employees are working remotely from home. As such we require that all employees have the following technical capability at their home: High speed internet over 10 MBPS and, specifically for all call center employees, the ability to plug in directly to the home internet router. These at-home technical requirements are subject to change with any scheduled re-opening of our office locations.
Evolent Health is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status
#LI-Remote


Data Scientist

It’s Time For A Change…
Your Future Evolves Here
Evolent Health has a bold mission to change the health of the nation by changing the way health care is delivered. Our pursuit of this mission is the driving power that brings us to work each day. We believe in embracing new ideas, testing ourselves and failing forward. We respect and celebrate individual talents and team wins. We have fun while working hard and Evolenteers often make a difference in everything from scrubs to jeans.
Are we growing? Absolutely. We have seen about 30% average growth over the last three years. Are we recognized? Definitely. We were named one of “Becker’s 150 Great Places to Work in Healthcare” in 2016, 2017, 2018 and 2019 and are proud to be recognized as a leader in driving important Diversity and Inclusion (D&I) efforts: Evolent achieved a 95% score on its first-ever submission to the Human Rights Campaign's Corporate Equality Index; was named on the Best Companies for Women to Advance List 2020 by Parity.org; and we publish an annual Diversity and Inclusion Annual Report to share our progress on how we’re building an equitable workplace. We recognize employees that live our values, give back to our communities each year, and are champions for bringing our whole selves to work each day. If you’re looking for a place where your work can be personally and professionally rewarding, don’t just join a company with a mission. Join a mission with a company behind it.  What You’ll Be Doing:  The Data Scientist will support the building of AI products in an Agile fashion that empowers healthcare payers, providers, and members to quickly process medical data to make informed decisions and overall reduce health care costs. As a research scientist/engineer part of the Data Science team, you will be working primarily on structured and unstructured data to build statistical and machine learning applications to support various use cases around Claims, Payments, Clinical, Administration, Patient care, and Fraud in Healthcare. These applications include but are not limited to computer vision, understanding the contents of the medical documents using natural health language processing techniques, Structured data in data warehouses, and integrating the processes into the overall AI pipeline and enterprise platforms. The Applications will be used dually for real-time operational processes with both automated and human-based decision making as well as contribute to reducing healthcare administrative costs, reducing the burden on Providers from administrative work, and improving the care of the patients while reducing overall fraud, waste, and Abuse in Healthcare. We work with all major cloud and big data vendors offerings including but not limited to (Azure, AWS, Google, IBM, etc.) to achieve AI goals in healthcare and support Evolent business.
Develop Statistical, Machine learning, and AI-related products to support Evolent Health business objectives, products and improve processing efficiency, reducing overall healthcare costs
Gather external data sets; build synthetic data, label data sets, and do Data engineering as per the needs for projectsApply software engineering skills and Cloud-native solutions to build ML/AI products to improve automation and improve user experiences leveraging structured/unstructured data, machine learning approach, distributed and cloud computing platformsWork closely and collaborate with Sr Data Scientists, Machine Learning Engineers, IT teams, and Business stakeholders spread out across various locations in the US and India to achieve business goalsProvide support to Data Scientists and Machine Learning Engineers on the team
 The Experience You’ll Need (Required):
MS degree or above in Computer Science, Statistics & Mathematics, Physics, or related STEM fields1-3 years of Industry experience including internship related to Data engineering, Data Exploration, Statistical Analysis and building Machine learning models  Strong understanding of mathematical concepts including but not limited to linear algebra, Advanced calculus, partial differential equations, and statistics including Bayesian approachesStrong programming experience including understanding of concepts in data structures, algorithms, and software engineering principlesGood understanding and experience with traditional data science approaches like sampling techniques, feature engineering, classification, and regressions, SVM, trees, model evaluations, anomaly, Fraud detectiongood programming experience in twoor more of the following languages (Python, C++, Java, Scala)Strong Unix/Linux background and experience with at least one of the following cloud vendors like AWS, Azure, and Google in multiple servicesgood Data Visualizations skills to build dashboards and very good communication skills to present it to wider audience
 Finishing Touches (Preferred):
Prior experience working in Health care industryExperience with Kubernetes and dockers  Experience building REST API’s for AI work and knowledge of microservices architecture  Experience working with team members spread globally.
 Technical requirements:
During the current pandemic Evolent employees are working remotely from home. As such we require that all employees have the following technical capability at their home: High speed internet over 10 MBPS and, specifically for all call center employees, the ability to plug in directly to the home internet router. These at-home technical requirements are subject to change with any scheduled re-opening of our office locations.
Evolent Health is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status
#LI-Remote


Director Of Data Science

CareRev, a 100% remote company, is bringing the future of work to Healthcare. We are developing a robust marketplace that connects trusted Healthcare professionals to relevant per diem shift opportunities. We are working to change the traditional relationship between Healthcare professionals and Healthcare facilities alike, aiming to build a future that ensures people who work in Healthcare have better tools and are empowered to be the healers they want to be.
What You’ll Do as a Director of Data Science is you will manage a team, provide guidance and feedback, and grow a data team to meet goals and exceed goals set by you. Working closely with data engineering, systems engineering, and product management to productize data science solutions built by you and the data science team.
What we're looking for

Curious and experimental mindset
Relentless drive to source and discover data sets that can help produce value
Down to earth and realistic about what makes sense for data science to solve vs classic programming methods
Ability to discover areas of opportunity where data science lends a big advantage
Deep understanding of statistics and classical ML methods such as neural nets, NLP, reinforcement learning, clustering, and classification
The tendency towards even-keeled decision making and guidance managing team members
Hands-on experience with one or more of Python, R, Julia, or similar
Solid SQL skills

Requirements

6+ years of hands-on machine learning experience building and deploying solutions
2+ years of managing other data scientists, analysts, and/or engineers
BS or MS in Science, Math, Economics or Engineering related field
Live in and eligible to work in the USA

A Few Reasons to Consider Us

Annual bonus program
Comprehensive medical, dental, vision, and life insurance benefits
Paid holidays & unlimited PTO
401k and matching program
100% remote
Home office equipment reimbursement

CareRev is building the #1 staffing platform for healthcare professionals. We partner with hospitals and medical centers across the US, and book thousands of specialized professionals through our app every month. We are putting transparency, fairness, and trust back on the table. We are excited to grow our team of 150+ employees distributed across the US in a remote environment! We deeply value changing the world for the better and work toward diversity across our teams while we scale our teams in breadth and volume. To date, CareRev has raised $50M in funding. In addition, CareRev has a fantastic group of investors, including Transformation Capital, top Healthcare VC firms, Y Combinator partners, and alumni.
CareRev is 100% remote. We have a small office in Los Angeles (Venice/Mar Vista) and Chicago open for use by employees.
CareRev is an equal opportunity employer and will not discriminate against any employee or applicant for employment in an unlawful manner. We celebrate diversity and are committed to creating an inclusive environment for all individuals. CareRev treats all employees and job applicants based on merit, qualifications, and competence without regard to any qualified individuals' sex, race, color, religion, national origin, ancestry, gender (including pregnancy, breastfeeding, or related medical condition), sexual orientation, gender identity, gender expression, age, physical or mental disability.


Data Scientist

We didn’t create Bold Penguin because commercial insurance is broken. It isn’t. But as the world has gotten more connected and digitized, commercial insurance lags — creating a fragmented landscape where businesses, agents, and insurance companies struggle to interact in a smooth and easy way. That’s why we’ve built a highly efficient exchange that cuts the friction out of commercial insurance by connecting everyone to the right quote in record time.

Powering the world of insurance is no small feat, so we’ve built a team that's incredibly talented and passionate about our potential to upgrade the entire industry. As more and more companies, big and small, depend on our technology to operate in the commercial insurance space, we’ll need the best talent all around to support our growth. That’s why we’re looking at you (yes, you!) to make a bold move and join our adventure.

YOUR ROLE
Bold Penguin is seeking a Data Scientist who will be responsible for the end-to-end development of models using various modeling approaches ranging from statistical techniques, to machine learning and deep learning. This includes taking high-level business challenges, translating them into a concrete quantitative framework, and shepherding solutions from R&D into production.

WHAT YOU'LL DO
Own the entire Machine Learning (ML) development process from data collection, model development, and results presentation to production.
Design and implement ML algorithms and techniques using data analytics, text analytics, and Natural Language Processing (NLP).
Collect or extract data from different sources, processing, cleaning and validating for further use.
Periodically test and retrain ML/AI models to adapt the best model for problem statements.
Collaborate with the development team to put models into production and monitor for performance.

SKILLS AND QUALIFICATIONS
Proficiency in various NLP tasks including text extraction, entity extraction, refining existing NER models, and documenting understanding.
Strong programming skills with experience using modern packages in Python, and platforms including Amazon SageMaker, H2O, and others.
Knowledge of computer vision, object detection with deep learning preferred.
Must have a graduate degree in Mathematics, Science or Computer Science/Engineering.
Must have at least 3 years experience working as a data scientist in a fast-paced, highly iterative and highly collaborative team.

Bonus Qualifications:
Bonus points for Insurtech background or commercial insurance experience!

BENEFITS
We offer competitive compensation and progressive benefits that include:
Medical, Dental, and Vision
Disability and Life Benefits
401K with a company match
Employee Assistance Program
Parental Leave
Paid Time Off

Remote Culture.  Here at Bold Penguin our remote employees are top of mind, and we have created an inclusive, engaging remote environment.

Choose-your-own gear. Whether you prefer Mac, PC, or Linux, one screen or three, we’ll set you up for success.

Stay connected to the Glacier. We slack. A lot. We also like to video conference regularly. We even have all- hands  "Waddles" held Tuesday - Friday 12:00PM EST.

Penguin bling. Like swag themed after a certain antarctic bird? Just. You. Wait.

Bold Penguin believes in inclusion. That’s why we’re proud to be an equal opportunity employer that considers all qualified applicants regardless of race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, beak size, or inability to fly.

To learn more about our results-focused culture and employee-focused perks, read more on our careers page.


Vice President Of Data Science

At MissionWired, we help clients create revolutionary digital strategies that advance their mission, change our country, and have a positive impact on the world.

We’re digital-obsessed, tech-savvy do-gooders who care deeply about social change. We’ve brought digital strategies to life for nonprofit organizations working around the world, including Save the Children, Sandy Hook Promise, and Friends of the Earth, as well as progressive political organizations, campaigns and candidates. This cycle, we're excited to support the DGA in flipping and protecting governorships across the country while expanding the Democratic majority in the Senate via our work with the DSCC, Sen. Raphael Warnock, Rep. Val Demings, Sen. Catherine Cortez Masto and Sen. Maggie Hassan.

We’re an equal-opportunity employer and take seriously our commitment to equality and equity. Our efforts to be inclusive and create opportunity don’t end when someone joins us – they begin.

We’ve set our sights on changing the world through our work and with our clients, and representation is at the foundation of what we do. We know that diversity of thought and background makes us stronger. That’s why we’re committed to building and maintaining a diverse community.

Every new team member broadens our perspective and allows us to think bigger. We’ll be at our best when people from underrepresented communities and people with a range of perspectives and lived experiences want to come, stay, and push the boundaries of what’s possible.

Overview: We are looking for a Vice President of Data Science to join us in bringing machine learning to online fundraising through our AdvantageAI product. The models you create will improve the lives of people throughout the world by empowering digital donors and activists to support our mission-driven clients. You’ll be driving positive change by leading a team of data scientists and engineers developing first-of-their-kind machine-learning products.

You’ll join an engineering team that is deeply devoted to inclusion, particularly in the following three areas:

Process: We create a context in which everyone is empowered to contribute.

Machine Learning: We are committed to identifying and removing bias from our algorithms.

Philanthropy: We empower diverse groups of individuals to participate in giving.

With us, you’ll put your skills to use for innovation that powers social good. We want your ideas and your leadership. Join us. Let’s go!

You will be responsible for:

Joining each and every one of your colleagues in creating an inclusive workspace;
Developing and enhancing the core models that power the AdvantageAI platform, supporting digital donor acquisition and UX optimization;
Designing experiments to determine how to maximize client goals, such as philanthropic donation or email activation;
Developing and supporting the development of infrastructure for optimal extraction, transformation, and loading of data from a variety of data sources;
Working to constantly improve data reliability and quality;
Collaborating with cross-functional teams to support their data infrastructure needs.

Must-have qualifications:

5+ years of professional experience in designing and implementing machine learning solutions to business problems;
Experience as a line manager of small or large teams of technologists;
A passion for statistical methodology, including an ability to unpack the assumptions and interpretations of various approaches, an openness and critical eye to the latest techniques, and a willingness to lead collaborations to find optimal solutions;
High-level familiarity with big data tools using AWS or other cloud services;
Attention to detail;
Intellectual curiosity to innovate on ways to solve data management issues.

Nice-to-have qualifications:

Working knowledge of Pandas and, ideally, PySpark;
Experience deploying deep-learning models;
Experience managing data warehouses and/or data lakes;
Ability to build and optimize data pipelines, architectures, and data sets;
Experience working with cross-functional teams in a dynamic environment.

Salary floor for this role is $150,000+ per year, commensurate with experience.

If you feel you can do the job and are excited about this opportunity but are not sure if you meet all the qualifications, consider applying anyway. We’d love to hear from you!


Senior Data Scientist

At MissionWired, we help clients create revolutionary digital strategies that advance their mission, change our country, and have a positive impact on the world.

We’re digital-obsessed, tech-savvy do-gooders who care deeply about social change. We’ve brought digital strategies to life for nonprofit organizations working around the world, including Save the Children, Sandy Hook Promise, and Friends of the Earth, as well as progressive political organizations, campaigns and candidates. This cycle, we're excited to support the DGA in flipping and protecting governorships across the country while expanding the Democratic majority in the Senate via our work with the DSCC, Sen. Raphael Warnock, Rep. Val Demings, Sen. Catherine Cortez Masto and Sen. Maggie Hassan.

We’re an equal-opportunity employer and take seriously our commitment to equality and equity. Our efforts to be inclusive and create opportunity don’t end when someone joins us – they begin.

We’ve set our sights on changing the world through our work and with our clients, and representation is at the foundation of what we do. We know that diversity of thought and background makes us stronger. That’s why we’re committed to building and maintaining a diverse community.

Every new team member broadens our perspective and allows us to think bigger. We’ll be at our best when people from underrepresented communities and people with a range of perspectives and lived experiences want to come, stay, and push the boundaries of what’s possible.

Overview: We are looking for a mid-level to senior Data Scientist to join us in bringing machine learning to online fundraising through our AdvantageAI product. The models you create will improve the lives of people throughout the world by empowering digital donors and activists to support our mission-driven clients. You’ll be driving positive change as part of a team of data scientists and engineers developing first-of-their-kind machine-learning products.

You’ll join an engineering team that is deeply devoted to inclusion, particularly in the following three areas:

Process: We create a context in which everyone is empowered to contribute.

Machine Learning: We are committed to identifying and removing bias from our algorithms.

Philanthropy: We empower diverse groups of individuals to participate in giving.

With us, you’ll put your skills to use for innovation that powers social good. We want your ideas and your leadership. Join us. Let’s go.

You will be responsible for:

Joining each and every one of your colleagues in creating an inclusive workspace;
Developing and enhancing the core models that power the AdvantageAI platform, supporting digital donor acquisition and UX optimization;
Designing experiments to determine how to maximize client goals, such as philanthropic donation or email activation;
Developing and supporting the development of infrastructure for optimal extraction, transformation, and loading of data from a variety of data sources;
Working to constantly improve data reliability and quality;
Collaborating with cross-functional teams to support their data infrastructure needs.

Must-have qualifications:

3-5 years of professional experience in designing and implementing machine learning solutions to business problems;
A passion for statistical methodology, including an ability to unpack the assumptions and interpretations of various approaches, an openness and critical eye to the latest techniques, and a willingness to lead collaborations to find optimal solutions;
Experience with SQL to write nuanced analytic queries;
High-level familiarity with big data tools using AWS or other cloud services;
Attention to detail;
Intellectual curiosity to innovate on ways to solve data management issues.

Nice-to-have qualifications:

Working knowledge of Pandas and ideally PySpark;
Experience deploying deep learning models;
Experience managing data warehouses and/or data lakes;
Ability to build and optimize data pipelines, architectures, and data sets;
Experience working with cross-functional teams in a dynamic environment.

Salary range for this role is $85,000 to $135,000 per year, depending on experience.

If you feel you can do the job and are excited about this opportunity but are not sure if you meet all the qualifications, consider applying anyway. We’d love to hear from you!


Data Scientist

Work with a Purpose:At Hello Alice we are about equal access fueled by technology and powered by everyone who believes that diverse small business participation isn’t just the right thing to do, but the smart thing to do. That’s true of our small business owners, and it’s true of our team. If you agree, keep reading.   Job Summary: As part of the Data Science team at  Hello Alice, you will play an important role in driving our  Data Science mission forward.  We build tools and products using Data Science and Artificial Intelligence (AI) that empower small business owners.  By using data, machine learning, and AI we augment human intelligence and cognition for optimal decision-making.  We strive to evangelize on the importance of being a data-driven organization and use data to tell stories and uncover insights.  You’ll report directly to the Director of Data Science. Role and Responsibilities: Here’s what you’ll be working on day-to-day, but as a nimble organization that puts our small business community at the forefront, flexibility is key, and other responsibilities may arise.  Apply various data science methods to understanding the most important aspects of our product, users, and business Transform data into insights that can be utilized by people without a programming or data science background. Evangelizing evidence-based decision making by partnering with key decision makers (including senior-level and executive management) and driving democratized accessibility of data and insights Design and build data set processes for modeling, data mining, and production purposes Determine new ways to improve data quality and predictive capabilities Perform and interpret data studies and product experiments concerning new data sources or new uses for existing data sources Develop prototypes, proof of concepts, algorithms, predictive models, and custom analysis Provide research on topics including Hello Alice's business model and recommendation techniques  Deliver reports and insights on data findings that are understandable to non-data scientists Required Skills and Experiences: Degree in a related field such as Mathematics, Statistics, Analytics or Computer Science 1-2 years of experience which can include relevant internship experience Basic knowledge of statistics to include linear and logistic regression, supervised machine learning and time series forecasting Knowledge of building  statistical, machine learning, NLP, and AI models Prior experience with different models and projects with the ability to explain in detail Experience with tools and programming language to include Excel, PowerBI, Tableau, Mode Analytics or Shiny Cloud databases including Google Cloud platform, AWS, Microsoft Azure R or Python and SQL experience is required Ability to identify a business problem, define and create a solution and convert the solution into an insight feature Benefits & Perks Generous PTO days  Competitive compensation, benefit, and equity package Work from home stipend  Professional development Diverse, fun, and unique work environment  About Hello Alice: Hello Alice is a free, multichannel platform that helps businesses launch and grow. With a community of nearly 500,000 business owners in all 50 states and across the globe, Hello Alice is building the largest network of owners in the country while tracking data and trends to increase the success rate for entrepreneurs. Our partners include enterprise business services, government agencies, and institutions looking to serve small- and medium-business owners to ensure increased revenues and promote scale. A Latina owned company, founded by Carolyn Rodz and Elizabeth Gore, we believe in business for all by providing access to all owners including women, people of color, veterans, and everyone with an entrepreneurial spirit. To learn more, visit helloalice.com, as well as Twitter, LinkedIn, Instagram, and Facebook. Hello Alice is a fully remote team, so all United States locations are considered.  Hello Alice is an Equal Employment Opportunity employer that will consider all qualified applicants, regardless of race, color, religion, gender, sexual orientation, marital status, gender identity or expression, national origin, genetics, age, disability status, protected veteran status, or any other characteristic protected by applicable law. www.helloalice.com // Twitter // Facebook // Instagram // LinkedIn


Data Scientist Pricing Strategy Analytics

ARE YOU INTERESTED IN JOINING A HYPER-GROWTH LOGISTICS TECH COMPANY?

→ Do you see yourself deep diving into internal and external data, leading a multitude of analyses and projects that generate insights for the overall pricing strategy?
→ Are you capable of bridging theory to practice, simplifying complex concepts to a larger audience and communicating your analyses and models to stakeholders?
→ Do you want to work with many different teams to assist in identifying which multi-million dollar bets we should make to maximize yield and minimize risk?

If so, nice to meet you! We are Loadsmart and we have recently created a new Data Scientist in Pricing Strategy & Analytics role. We are a Series C-funded logistic technology company that has increased our revenue by 200% year over year, led by a leadership team of logistics veterans and experienced engineers, product leaders and data scientists continuing to disrupt this $800 billion industry.

We are seeking a data scientist /economist who thrives in a dynamic and fast-paced global company.

LOCATION: Remote from anywhere in Latin America

What you get to do:

Lead statistical & econometric analyses, leveraging both internal and external market data to create pricing strategies that optimize revenue, PnL, and manage brokerage risk in both spot and contracted freight markets in the US. This includes:
Identifying patterns and trends that help feed our pricing strategy
Understanding the dynamics of our machine learning pricing algorithms to create optimal strategies on top of existing algorithms
Leveraging macroeconomic and industry level data and analytics to identify actionable business opportunities and improve our lane-level and company-level strategy
Leverage technical expertise to design database structures, automate recurring tasks, and publish market research & insights internally (potentially externally down the road)
Optimize Loadsmart’s PnL by enhancing Loadsmart’s spot (day-to-day) and contracted (long-term) pricing
Collaborate with Sales, Account Management, Carrier Sales, Product, Engineering, Data Science, and existing Pricing Strategy teams to provide data-driven insights and to enhance knowledge and understanding of the truckload market
Create the foundation for building / growing a business-facing data science & analytics team.

You have experience:

5+ years of experience in a highly analytical data science, statistics, economics, finance or related roles
Proficient in verbal and written English – you will be communicating with native English speakers daily
Proficiency in R, Python or similar programming language, advanced Microsoft Excel skills and a basic working knowledge of SQL
Masters / PhD is a plus
Academic background and/or job experience in economics & finance is a plus
Proficiency in modelling time series data is a plus
Effective analytical and problem-solving capabilities
Able to excel alongside and within groups to maintain a collaborative work environment
Detail oriented and focused

Note: This role does not require knowledge of software engineering in activities such as : Implementing models into production, configuring APIs, maintaining tech infrastructure, data pipelines, etc.

Your colleagues describe you as:

Highly analytical - data driven, logical reasoning, strategic, also having an eye for the business bottom line
Detail orientated & organized - structured, can balance multiple projects/deadlines
Strong communicator - clear & specific
Agile and proactive - independent self-starter.

WORKING AT LOADSMART:

Prosperity
• Competitive base salaries - we believe in rewarding top talent
• Extremely competitive Equity package
• Signing bonus - because you will work remotely, you will use it as you like: to setup your home office, get a new laptop or buy that amazing coffee machine to make your days happier :)
• Training budget - we will support you on developing your skills.

Happiness
• Unlimited time off
• Wellbeing initiatives
• Lots of engagement activities;
• An opportunity to work with a diverse, global community of 450+ Loadies united by our core value of Teamwork
• Regular recognition, feedback, and transparency across all levels
• Opportunities for you to join our community service initiatives.

At Loadsmart, we believe our biggest asset is our people. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. Loadsmart treats all candidates and employees with respect and does not discriminate in our recruiting, hiring, and promoting processes, including on the basis of race, color, religion, sex, age, sexual orientation, gender identity and/or expression, national origin, veteran status, or disability.


Senior Data Scientist Applied Research Personalization

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

The Applied Research - Personalization team’s goal is to comprehensively understand our users, create representations of their behavior and complex interactions with our content, and deliver user models that drive ML product features. This is accomplished as a team of aligned, talented and collaborative full-stack data scientists that run exploratory analyses, create data pipelines, and build models from prototype to production to solve some of the company’s highest profile initiatives.

You are excited by the opportunities and challenges of working on Scribd’s unique and massive dataset consisting of hundreds of millions of documents, books, audiobooks, articles, and podcasts and the interaction of that content with hundreds of millions of users. As a Senior Data Scientist, you are a technical leader that understands how your priorities impact the business. You stay up to date with advancements in technology and methods, and bring new ideas and ways of working to the team.

You will:

Deeply understand our data and define how user interactions create signals for ML models.
Take full advantage of our scale of data. For example, use Transformers and other state-of-the-art deep learning architectures to extract rich user embeddings.
Optimize personalization for new users by integrating other sources of data and innovating on models. For example, use Bayesian methods to smoothly combine priors about user segments with data-rich modeling approaches.
Design for scale, both in terms of number of users and content and in terms of multiple use cases across the product.
Increase the effectiveness of the team on a technical and problem-solving level through thoughtful collaboration with other Data Scientists, Machine Learning Engineers, and System Engineers.

You have:

4+ years of experience in data science or related field.
Bachelor's degree in a quantitative discipline. Master’s or Doctorate degree preferred.
Intermediate level or greater experience with Python, SQL, and Spark.
Previous professional experience with developing personalization features, recommendation systems, or other related ML experience.
Experience with TensorFlow and embedding-based deep learning architectures is a plus.

Benefits, Perks, and Wellbeing at Scribd

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

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

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

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


Senior Data Scientist

Heap is built on a unique dataset of product activity, including hundreds of billions of events across thousands of websites. We’ve automated the process of capturing user behavior, and we’re developing a new category of features to proactively help clients understand and take action on this dataset.
In this role, you’ll research, develop, and productize advanced features for Heap’s product analytics platform. These features will guide PMs’ attention towards “unknown unknowns” in their user behavior, suggest the right questions to ask, and otherwise make it easier to learn something important about their users.
You’ll iterate quickly on challenging and interesting technical problems. How can we automatically identify confusing or frustrating aspects of a customer’s product? What kinds of phenomena are important for a PM to know about, and how can we use an autocaptured dataset to find them? How can we quantify the “interestingness” of a potential result? How can we help PMs avoid overfitting, and protect them from being fooled by confounding factors?
This work is central to Heap’s strategy and to continued success as the leading product analytics platform.
In this role, you’ll:

Be central to our strategy. The core of our product strategy is to produce differentiated insights based on our unique autocapture dataset. You’ll work directly on this problem, creating new features to analyze the Heap dataset and, especially, generate unknown unknowns for our customers.

Turn your expertise into product features. You have experience analyzing data to drive product decisions and company strategy. At Heap, you’ll turn that experience into products so you can deliver that expertise to thousands of PMs.

Impact thousands of products. Heap is a leading player in the product analytics industry, and if your work is successful it will change how thousands of companies understand their users and develop their own products.

Work on a senior and fast moving team. You’ll report to David Robinson, Principal Data Scientist. You’ll work closely with Vijay Umapathy, Director of Product Management, Will Guldin, Senior Product Designer, and our Analysis team led by Asher Eastham.

What you will be doing:

Designing new product features that make proactive suggestions based on behavioral data.
Working with PMs, designers, and engineers to build a product that will reliably lead users to correct insights about their own users.
Analyzing usage of our existing data science features in order to generate improvements.

What we’re looking for:

3+ years of professional experience as a data scientist
Background in statistics. You’re familiar with the risks of overfitting, confounding factors, and multiple hypothesis testing, and you’re well-versed in statistical methods for handling them.
Practicality: you care about finding effective and robust approaches that can be scaled into products, not about using the newest and shiniest technologies.
Experience in the R toolchain. You’re fluent in transforming, modeling, and visualizing data to solve business problems.
Expertise creating and maintaining R libraries is optional but preferred.
Strong communication skills: able to collaborate with semi-technical stakeholders.
You prefer rapid iteration, and you have a preference for proving out ideas quickly.
An advanced degree (PhD or MS) in a quantitative field is optional but preferred.

People are what make Heap awesome. Regardless of age, education, ethnicity, gender, sexual orientation, or any personal characteristics, we want everyone to feel welcome. We are committed to building a diverse and inclusive equal opportunity workplace everyone can call home.
Heap has raised $95M in funding from NEA, Y Combinator, Menlo Ventures, SVAngel, Sam Altman, Garry Tan, Alexis Ohanian, Harj Taggar, Ram Shriram, and others. We offer plenty of awesome benefits, and we were named #1 on Glassdoor’s Best Places to Work (SMB). We'd love to hear from you!


Senior Data Scientist Advertising

We work at the intersection of advertising and messaging technologies to connect millions of brands to billions of fans. As part of the Advertising team, we’re paving the way for a sustainable global Spotify business that allows even more creators to make a living off their art. Come join us and help build the platform that powers promotion at Spotify.

We are looking for a Data Scientist to join Spotify’s Advertising Business Unit. The Advertising Business Unit is responsible for the success of Spotify’s freemium business model that allows us to deliver an amazing free experience to more than 200 million users worldwide.

Our team uses machine learning to drive both advertiser outcomes and listener satisfaction in Spotify Free, helping democratize music access globally while positively impacting Spotify’s bottom line. We develop innovative solutions around the core problem of getting the right ad or message to the right user at the right time, while embodying Spotify’s values and keeping our users’ best interests at heart.

What You'll Do

Work closely with cross-functional teams of ML engineers, user researchers, product owners and designers who are passionate about Spotify’s success
Perform analyses on large sets of data to extract meaningful insights that will help drive ML driven product decisions
Design and conduct A/B tests to drive iterative improvement to both user and advertiser metrics through efficient experimentation
Communicate data-driven insights and recommendations to key team members
Build lasting solutions to surface critical data and performance metrics
Help us develop our knowledge and practice around the development and evaluation ML driven products
Develop individually to continue to grow your impact, and help mentor peers

Who You Are

You have Ph.D.-level expertise in a related computational field, in particular addressing probability and uncertainty as they relate to data.
You have familiarity with applying machine learning to solve product needs, and can reason about choice of algorithms, minimal viable products and iteration.
You are capable of tackling very loosely defined problems.
You have the technical competence to perform more sophisticated analysis:
Coding skills for analytics and data extraction (SQL, R, Python, Pandas)
Data visualization (such as Tableau, D3, ggplot, Looker)
Experience performing analysis with large datasets
Solid understanding of statistics and machine learning
You are a communicative person that values building positive relationships with co-workers and stakeholders and have the ability to explain complex topics in simple terms.

Where You'll Be

We are a distributed workforce enabling our band members to find a work mode that is best for them!
Where in the world? For this role, it can be within the Americas region in which we have a work location
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere  options here.
Working hours? We operate within the Eastern Standard time zone for collaboration

#remote

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 345 million users.


Data Scientist

At Yelp, it’s our mission to connect people with great local businesses. Yelp’s unique dataset contains billions of interactions between users and businesses around the globe, from a review of a coffee shop to requesting a repair quote with a photo of a leaky faucet. Data Scientists at Yelp work to make sense of these interactions to deliver impactful analyses and products to our users, business partners and the general public.

The Data Science & Analytics team performs analyses, builds models, and designs experiments that directly impact Yelp’s products and users. Our teams sit in Yelp’s central product management organization and work directly with cross-functional leaders to understand quantitatively how our products are performing and where the largest opportunities are. We are adept at tasks like modeling user preferences, inference from user and marketplace experiments, and generating insights about the health of local economies. With diverse backgrounds and expertise, we strive for learning and growth in a collaborative environment.

Where You Come In:

Join a team of Data Scientists and Data Science Analysts that develop analytical frameworks and reliable measurement strategies for Yelp products
Design, execute, and analyze complex business and user experiments
Partner with other Data Scientists and Data Engineers to set the vision for and develop our experimentation platform
Devise and evaluate models for diverse business needs, such as identifying growth opportunities, estimating the impact of new features on our platforms, and personalizing the user experience
Proactively research and build ETL pipelines for product and marketplace  metrics
Communicate key insights from analyses, experiments and data products to stakeholders

What It Takes to Succeed:

MS/PhD in quantitative field and 3+ years of industry experience in a senior quantitative role
Ability to apply statistical, analytical and technical expertise to product and business problems
Prior experience structuring and leading impactful data science projects independently
Oral and written communication skills to mentor colleagues, and work effectively with partners on engineering, product and business teams
Expertise in SQL, and R or Python for data analysis and platform development
Enthusiasm for building a culture of learning and development

It's Nice To Have:

Product analytics experience with small business or consumer technology products
Prior industry experience building online experimentation and machine learning platforms

#LI-Remote

At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.”

We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability.

We will consider for employment qualified candidates with arrest and conviction records, consistent with applicable law (including, for example, the San Francisco Fair Chance Ordinance for roles based in San Francisco).

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We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 415-969-8488.

Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.


Director Of Applied Data Science Media Insights

What we do
At Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest progressive social causes.
This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on.
We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions.
Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack.
Learn more about Civis at www.civisanalytics.com.
Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles.
What we're looking for
Civis Analytics is seeking a Director of Applied Data Science (ADS) to lead the Media & Insights (M&I) ADS Team, responsible for setting and executing the vision for the M&I ADS team to drive departmental growth, build knowledge of data science applications within Media, improve employee satisfaction, and broaden Civis’ success with our clients that leverage Civis’ media offerings.
The Applied Data Science Team is the advisory arm of Civis Analytics, working closely with some of the largest publishers, advertisers, and agencies, as well as governments, nonprofits, and campaigns to help solve their toughest challenges with data science. They are critical components of the project team and are expected to take leadership in understanding how to design and implement data science solutions for each client’s unique situation.
Responsibilities
Vision and Direction.

Develop and execute a vision for the M&I ADS team in partnership with the VP, Media & Insights
Collaborate closely with cross functional leaders to address evolving business needs and create solutions for internal Civis teams as well as our clients

 Do good work.

Ensure that all deliverables provide substantive value to clients, adhere to our standards, and further our mission.
Partner closely with Engineering and Product leaders to oversee the development and delivery of  industry leading media measurement tools

Support the team.

Manage a team of data scientists and analysts
Be a mentor and coach to the members of the M&I ADS team, building a culture where team members feel valued, supported and challenged with clear paths for growth.

Grow the business.

Grow Civis' business by delivering excellent work, identifying new strategic growth opportunities for the company, and leveraging expertise and credibility applying data science to media use cases
Support Business Development by leading conversations to understand prospect clients’ needs, translating those needs into Civis’ solutions, and illustrating those solutions with clear support such as case studies and client success stories.

Grow our brand.

Serve as a brand ambassador within the Media space through Civis presence at relevant conferences, panels and other networking events or authoring thought leadership pieces
Travel requirements <15%

Minimum Qualifications

Bachelor’s degree
A strong foundation in statistics and data analytics to solve real-world business challenges
Experience writing proposals and presenting in front of senior business leaders
Experience managing teams to complete projects within scope and on time
Excellent interpersonal and communication skills; ability to engage with both business and technical collaborators
Demonstrated history of delivering high-quality analytic work to decision makers
Experience advising or working within a data science or analytics function within an advertising agency or publisher, or in support of marketing initiatives for a brand

Preferred Qualifications

Proficiency in SQL and/or statistical packages (R, Python, STATA, etc)
Advanced degree in an analytical subject (statistics, math, economics, physics, business, etc.).

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

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

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

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