Senior Data Analyst Data Scientist Pricing

At Domestika we are hiring a Senior Data Analyst/Scientist to work closely with the Pricing team!
Domestika is the fastest-growing creative community where the best creative experts share their knowledge and skills through professionally produced online courses. It all started as an online forum and a small but dynamic showcase of creative professionals, designed to help them connect and learn from each other. Today, the online community is home to over 6 million people from around the world who are curious and passionate about learning new creative skills.
Team
Data:
The data team partners with all parts of the business to aid decision-making and define measurement frameworks across Domestika. This position is part of Growth Analytics, reporting to the Director of Growth Analytics. You will also work closely with others in the data group such as Product Analytics & Data Engineering.
Pricing:
This analyst will be dedicated to the pricing team. The pricing & revenue team is responsible for setting & optimizing the pricing strategy on all Domestika products. It is part of the larger Growth group reporting to the CMO.
Projects
All Analysts in Domestika have their feet in two worlds. On the one hand they must be technical leaders who have the skills to extract, analyze, and visualize data. On the other hand they are partners for their functional teams to measure, support and challenge decision making and strategy.
For this position, some of the specific projects and areas for exploration will include:
- How can we build a framework to measure, understand & forecast the impact of pricing changes?
- As we move forward to implement personalization and segmentation technology, how can we leverage these to bring more sophistication to pricing in Domestika?
- How do pricing factors influence the recurrence of purchases, user retention, and overall lifetime value of our users?
- How can we leverage pricing to maximize revenue, whilst balancing value and volume in the short and long term, and how can we measure & monitor this effect?
Requirements
High level of SQL. You are comfortable navigating raw data and creating aggregate tables. You are comfortable doing this autonomously, but asking for help on occasion from your peers is more than ok. Basic select queries are something you can do with your eyes closed once you are comfortable with the data. You have used window functions to do more complex analyses, but if not, are happy to learn.
Visualization of analysis, reporting, & models. You have used one or more of the popular visualization tools, like Tableau, Looker, or others. In any case, you are able & motivated to pick up new tools, and understand what makes a useful visualization. You have no issue creating quick charts in Excel / Google Sheets to share quick analysis, but at the same time understand the consultation process that comes with building longer-lasting dashboards. You much prefer to build something that people will use for a long time, than something that will only be used for a specific analysis.
Measurement & Testing Analysis. You understand well the principles of measurement, statistics, and typical user behavior related to pricing & marketing. With all of these, you are equipped to consult on how best to measure the effect of changes, or strategies, and in turn how to improve them. AB testing digital products, in general, is something you have some experience with, but you are also aware of measurement frameworks that don’t necessarily involve formal testing, like attribution, causal impact, or regression.
Curiosity & Creativity. Data at Domestika is not a service function. We are creative partners who solve problems and consult on all areas of the business. You should be ready to challenge, to analyze, to improve, to optimize, and to recommend. At the same time, you are humble, collaborative, and driven ultimately by the motivation to make Domestika an amazing experience for our users, and an amazing place to work for your friends and colleagues.
Ownership & Product / Project Management. Seniority at Domestika is not about years of experience, it is about autonomy and impact. In this position, you will need to demonstrate ownership and leadership in your area. This means identifying opportunities, scoping and defining projects, prioritizing them, and ultimately managing and being responsible for their success.
Bonus Skills:
You have experience and/or passion for education technology,  learning platforms, or digital-first consumer industries like mobile apps, gaming.You are fascinated by human behavior, with some expertise in fields like behavioral psychology, microeconomics, or neuroscience.You have extra technical skills in R/Python, doing things like building time series models, attribution analysis, segmentation, or recommendation engines.
What do we offer?
Working in one of the leading companies in the creative industry.A fun, creative, collaborative, and multicultural team.Domestika pro-account to have access to all of our courses for free.Possibility to work remotely.Private health insurance.A salary according to your experience and profile.


Senior Data Analyst Data Scientist Courses

At Domestika we are hiring a Senior Data Analyst/Scientist to work closely with the Programming (Courses) team!
Domestika is the fastest-growing creative community where the best creative experts share their knowledge and skills through professionally produced online courses. It all started as an online forum and a small but dynamic showcase of creative professionals, designed to help them connect and learn from each other. Today, the online community is home to over 6 million people from around the world who are curious and passionate about learning new creative skills.
Team
Data:
The data team partners with all parts of the business to aid decision-making and define measurement frameworks across Domestika. This position is part of Growth Analytics, reporting to the Director of Growth Analytics. You will also work closely with others in the data group such as Product Analytics & Data Engineering.
Programming:
The Programming team is responsible for setting and optimizing the strategy of our course development in Domestika.
Projects
All Analysts in Domestika have their feet in two worlds. On the one hand they must be technical leaders who have the skills to extract, analyze, and visualize data. On the other hand they are partners for their functional teams to measure, support and challenge decision making and strategy.
For this position, some of the specific projects and areas for exploration will include:
- Which topics have a good market opportunity to develop courses?
- Once we launch a course, how can we measure its quality for our users?
- Can we predict and measure the incremental revenue of a course?
- With segmentation & personalization, how can we find the best course for each user?
Requirements
High level of SQL. You are comfortable navigating raw data and creating aggregate tables. You are comfortable doing this autonomously, but asking for help on occasion from your peers is more than ok. Basic select queries are something you can do with your eyes closed once you are comfortable with the data. You have used window functions to do more complex analyses, but if not, are happy to learn.
Visualization of analysis, reporting, & models. You have used one or more of the popular visualization tools, like Tableau, Looker, or others. In any case, you are able & motivated to pick up new tools, and understand what makes a useful visualization. You have no issue creating quick charts in Excel / Google Sheets to share quick analysis, but at the same time understand the consultation process that comes with building longer-lasting dashboards. You much prefer to build something that people will use for a long time, than something that will only be used for a specific analysis.
Measurement & Testing Analysis. You understand well the principles of measurement, statistics, and typical user behavior related to pricing & marketing. With all of these, you are equipped to consult on how best to measure the effect of changes, or strategies, and in turn how to improve them. AB testing digital products, in general, is something you have some experience with, but you are also aware of measurement frameworks that don’t necessarily involve formal testing, like attribution, causal impact, or regression.
Curiosity & Creativity. Data at Domestika is not a service function. We are creative partners who solve problems and consult on all areas of the business. You should be ready to challenge, to analyze, to improve, to optimize, and to recommend. At the same time, you are humble, collaborative, and driven ultimately by the motivation to make Domestika an amazing experience for our users, and an amazing place to work for your friends and colleagues.
Ownership & Product / Project Management. Seniority at Domestika is not about years of experience, it is about autonomy and impact. In this position, you will need to demonstrate ownership and leadership in your area. This means identifying opportunities, scoping and defining projects, prioritizing them, and ultimately managing and being responsible for their success.
Bonus Skills:
You have experience in for content / curation-driven platforms, learning & technology platforms, or digital-first consumer industries like mobile apps, gaming.You are fascinated by human behavior, with some expertise in fields like behavioral psychology, microeconomics, or neuroscience.More advanced skills using R/Python for machine learning & programming, working with APIs, or data modeling & engineering experience.
What do we offer?
Working in one of the leading companies in the creative industry.A fun, creative, collaborative, and multicultural team.Domestika pro-account to have access to all of our courses for free.Possibility to work remotely.Private health insurance.A salary according to your experience and profile.


Data Scientist

Semanticbits 5E4Fab02 58A0 4B28 B6Bf 0Db65Ee4B204

SemanticBits is a leading company specializing in the design and development of digital health services and the work we do is just as unique as the culture we’ve created. We deliver using Agile practices to help the government solve their most technically challenging problems. The systems we develop are used to improve the quality of healthcare delivered to millions of people and revolutionize the healthcare industry on a nationwide scale. SemanticBits is a remote-first employer and has been named a Top Workplace in 2021. As a government contractor, SemanticBits requires that candidates must be able to obtain a Public Trust clearance and show proof of COVID-19 vaccination or obtain a religious or medical exemption.

SemanticBits is looking for a Data Scientist eager to use advanced analytical and data transformation techniques as a means to develop practical tools and analyses that can help solve complex business problems; transforming volumes of data into actionable information. This position is open to a mid-level to principal professional depending on experience.

Responsibilities:

Strong grasp of statistics, programming, and modeling techniques (machine learning, classification, cluster analysis, data mining, databases, and visualization)
Solid experience with SQL, Python and/or R and common data science packages - e.g. pandas, scikit-learn, matplotlib, ggplot, plyr, etc.
Dataset parsing, dataset merging, dataset analysis, dataset synthesis
Familiarity with controlled vocabularies (e.g. UMLS, SNOMED, etc.)
Strong knowledge of databases (relational, OLAP, and NoSQL)Experience with Medicare claims is highly desirable
Experience with the following technologies is also highly desirable: Jupyter, Spark, Apache Superset or other BI software, AWS cloud computing
Experience in the healthcare domain, or with quality data sets is highly desirable
Strong technical communication skills; both written and verbal
Ability to understand and articulate the “big picture” and simplify complex ideas
Strong problem solving and structuring skills
Ability to identify and learn applicable new techniques independently as needed

Qualifications:

Bachelor's degree with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or a related field and a minimum of five years of relevant experience or a Master’s degree with a minimum of three years experience
Candidate must reside in the United States
Flexible and willing to accept a change in priorities as necessary

Preferred Qualifications:

Experience working in the healthcare industry
Federal Government contracting work experience
Prior experience working remotely full-time
Computer vision experience

Physical and emotional requirements for the job:
This position is to be performed remotely from an individual’s home office and involves sedentary work. Employees in this role can be expected to exert up to 10 pounds of force on occasion in order to lift, carry, push, pull or otherwise move standard electronic equipment. Employees are expected to make decisions in a timely manner and display emotional intelligence during occasional stressful situations.

Benefits:
Competitive salary
Stipend for work station set up
Four weeks of PTO
Eleven paid holidays
One floating holiday
Comprehensive health benefits (medical with HSA option, dental, and vision)
Employer HSA contribution
401k retirement plan with matching benefit
100% paid short-term and long-term disability
100% paid life insurance
Flexible Spending Accounts (FSA)
Three weeks parental leave
Casual working environment
Flexible working hours

SemanticBits, LLC is an equal opportunity, affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law. We are also a veteran-friendly employer.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact 703-787-9656  x257 for assistance.


Senior Data Scientist Analyst District Success

ABOUT KHAN ACADEMY
Khan Academy is a nonprofit organization on a mission to provide a free, world-class education to anyone, anywhere. We already reach millions of students every month and are growing rapidly. We’re building a new type of learning institution that provides high-quality instructional and practice resources that empower learners and the teachers who support them.  Whether they’re studying metaphors, mitosis, Marbury v. Madison, or multivariable calculus, we want to offer students (and teachers) the resources to realize that they can learn anything.
WE ARE DRIVEN BY OUR COMMUNITY
Our students, teachers, and parents come from all walks of life and so do we. We are fun, diverse, quirky people that come from a variety of backgrounds. Our team includes people from academia and from high tech companies and tiny startups. We hire great people from diverse backgrounds and experiences, not just because it’s the right thing to do, but because it makes our company stronger. Valuing diversity, equity and inclusion is necessary for us to actualize our mission and truly impact the communities we serve. We believe that the best way to provide impactful education is to create a diverse team of people from different backgrounds, races, religions, genders, sexual orientations, ages, and experiences.  We’re a hardworking team that’s passionate about helping learners and teachers around the globe! We strive to be world class in investing in our people and commit to developing you as a professional.
THE ROLE
Khan Academy is looking for an experienced Data Analyst/Scientist to join our growing team. This role will partner with our district partnerships team to drive engagement with our product and improve student outcomes. We are looking for curious, passionate individuals who can apply their strong technical skills to mine for insights across our rich datasets, and work collaboratively across the organization to drive critical strategic decisions.

Identify and measure success of initiatives through goal setting, forecasting, monitoring, and ongoing analysis of core outcome metrics
Perform exploratory analyses on our rich datasets to extract insights about our teacher & learner behavior and guide our decisions around investments and initiatives
Use your expertise in experimentation and causal inference to quantify the impact of various programs and interventions
Contribute to development of self-service analytics tools to enhance data access for the district success team
Work with our engineering teams to improve the tools and datasets we have for our district operations

WHAT YOU BRING

A passion for Khan Academy’s vision and a desire to change the world
Background in applied math, statistics, economics, or a related technical field
3-5 years experience in data science or analytics
Knowledge of statistical (i.e. multiple regression, hypothesis testing) and machine learning techniques (i.e. clustering, decision tree learning, etc.) for real-world applications
Knowledge about experiment design and causal inference
Strong SQL foundations & ability to manipulate data using R or Python
Strong data storytelling and visualization, with the ability to communicate effectively with non-technical stakeholders
Strong business intuition & judgment, with a knack for asking the right questions
Prior experience working with B2B or schools business is a plus

PERKS AND BENEFITS
We may be a non-profit, but we reward our talented team extremely well!

Competitive salaries and annual bonuses
Ample paid time off as needed – we are about getting things done, not face time
Generous parental leave
A fun, high-caliber team that trusts you and gives you the freedom to be brilliant
The ability to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education
Affinity groups where parents, black and hispanic/latino, women and gender minorities, and LGBTQIA+ identified folks come together
And we offer all those other typical benefits as well: 401(k) + 4% matching & comprehensive insurance including medical, dental, vision, and life

Want to know more about us?

Sal’s TED talk from 2011
Sal’s TED talk from 2015

Our team:  http://www.khanacademy.org/about/the-team

Our company values
Live & breathe learners
We deeply understand and empathize with our users. We leverage user insights, research, and experience to build content, products, services, and experiences that our users trust and love. Our success is defined by the success of our learners and educators.
Take a stand
As a company, we have conviction in our aspirational point of view of how education will evolve. The work we do is in service to moving towards that point of view. However, we also listen, learn and flex in the face of new data, and commit to evolving this point of view as the industry and our users evolve.
Embrace diverse perspectives
We are a diverse community. We seek out and embrace a diversity of voices, perspectives and life experiences leading to stronger, more inclusive teams and better outcomes. As individuals, we are committed to bringing up tough topics and leaning into different points of view with curiosity. We actively listen, learn and collaborate to gain a shared understanding. When a decision is made, we commit to moving forward as a united team.
Work responsibly and sustainably
We understand that achieving our audacious mission is a marathon, so we set realistic timelines and we focus on delivery that also links to the bigger picture. As a non-profit, we are supported by the generosity of donors as well as strategic partners, and understand our responsibility to our finite resources. We spend every dollar as though it were our own. We are responsible for the impact we have on the world and to each other. We ensure our team and company stay healthy and financially sustainable.
Bring out the joy
We are committed to making learning a joyful process. This informs what we build for our users and the culture we co-create with our teammates, partners and donors.
Cultivate learning mindset
We believe in the power of growth for learners and for ourselves. We constantly learn and teach to improve our offerings, ourselves, and our organization. We learn from our mistakes and aren’t afraid to fail. We don't let past failures or successes stop us from taking future bold action and achieving our goals.
Deliver wow
We insist on high standards and deliver delightful, effective end-to-end experiences that our users can rely on. We choose to focus on fewer things — each of which aligns to our ambitious vision — so we can deliver high-quality experiences that accelerate positive measurable learning with our strategic partners.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, gender, gender identity or expression, national origin, sexual orientation, age, citizenship, marital status, disability, or Veteran status. We value diversity, equity, and inclusion, and we encourage candidates from historically underrepresented groups to apply.


Data Science Intern

Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee whether a team member of Etsy, Reverb, Depop, or Elo7 you'll tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.
Job Description
What’s the role?
We are looking for Research Scientist Interns to join our team. As a highly visual platform, we are committed to advancing the field of CV by innovating technologies to help match our buyers’ tastes with our seller’s unique inventory. We are seeking individuals passionate in Deep Learning and Computer Vision and Machine Learning.  Experience in Diffusion models,  Visual Language Models, Image captioning, Style transfer or Natural Language Processing is beneficial.
As the Research Scientist Intern, you will be responsible for making core algorithmic advances and applying these ideas in the dynamic world of E-commerce! At the end of the summer, we will strive to publish innovations at premier conferences such as KDD, NeurIPS, ICML, ICLR, CVPR, ICCV, WWW, WSDM & SIGIR! Do you find happiness in rapidly prototyping ideas and solving complex problems by adapting creative approaches that affect the experience of millions of users over the world? If so, this could be a great fit.

This is a full-time, temporary position reporting to the Director of Data Science and Machine Learning and the base salary range will be 60.00- 70.00 USD per hour. For this role, we are considering candidates based in U.S. who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our flexible work options and vaccination policy here.
What does the day-to-day look like?
Contribute to research that can be applied to product development.Develop proof of concepts and tackle problems through creative approaches.Identify baselines, datasets, experiments and metrics for your project.Work closely and collaboratively with Applied Scientists and engineers.Prepare technical reports and presentations. Engage with the academic community by presenting your work and speaking at conferences and events. Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
Enrolled in a full-time Ph.D degree program in Machine Learning or another related, quantitative field.Experience or curiosity about publishing papers at top-tier conferences.Strong analytical and quantitative skills. You are familiar with techniques in Machine Learning & Data Mining, in the topics mentioned above.Had some experience in and exposure to Computer Vision through coursework, projects, prior internships, or other work experienceStrong technical and programming skills and familiar with relevant technologies and languages (e.g. Python, Java, C++, etc.).Capability to review and write technical papers.Strong collaboration and communication skills and you make the engineers around you grow and learn.Trust in and dedication to Etsy’s vision, mission and values.
Additional Information
What's Next
If you're interested in joining the team at Etsy, please share your resume
with us and feel free to include a cover letter if you'd like. As we hope
you've seen already, Etsy is a place that values individuality and variety.
We don't want you to be like everyone else -- we want you to be like you!
So tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace furthers
relevance, resilience, and longevity. We encourage people from all backgrounds,
ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity
workplace and is an affirmative action employer. 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. If, due to a disability, you need an accommodation during any part of the
interview process, please let your recruiter know. While Etsy supports visa
sponsorship, sponsorship opportunities may be limited to certain roles and skills.
For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones
within the location header of each job description. We're open to remote hires from all
U.S. states except Hawaii and Alaska.


Senior Manager Customer Data Science

Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee – whether a team member of Etsy, Reverb, Depop, or Elo7 – you’ll tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.
Job Description
What’s the role?
Etsy is seeking a Senior Manager of Customer Data Science to join our team!
Are you passionate about customer engagement? Do you love diving into data and insights to develop creative ways to acquire and retain customers?
We are looking for a person who is an innovative, analytical thinker and strong communicator, whose insights enable your teammates to develop valuable, highly effective programs to turn one-time users into loyal customers and increase purchase frequency. As the Sr. Manager of Customer Data Science you are establishing a brand new team within Marketing that will work with other functions and Product to help drive the company’s growth!
This is a full-time position reporting to the VP of Growth Marketing and the base salary range will be 176,000 - 228,000 USD per year. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the United States who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our flexible work options and vaccination policy here.
What does the day-to-day look like?
Lead the Customer Data Science team focusing on evolving Etsy’s customer segmentation, developing targeting strategies, and driving growth strategy across marketing channels Enrich customer data and develop user scores / propensity models in support of relevant targeting and messaging Drive Marketing automation, e.g. audience creation and reporting processes Work with Marketing Technology partners to handle technical aspects of key marketing systems and evaluate new technologies to improve and optimize marketing team performance  Manage data related projects and represent the team on cross-functional and external/third-party initiatives Develop weekly and monthly experiment plans and make recommendations to increase engagement across key segments and channels Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
 6-8 years minimum of quantitative work experience with large customer databasesHave a BA or BS Degree (In lieu of degree, 4 years of relevant work experience); an advanced degree in a quantitative discipline or equivalent work experience preferredNo stranger to translating business challenges into data analytics problemsExpertise in predictive modeling, and statistical analyses in generalDemonstrated experience with experimental designAdvanced Proficiency in SQL; must understand CTEs, window functions, etcExpert level experience with a scripting language (Python preferred)Solid experience in one or more languages for statistical programming (e.g. Python Analytics Libraries, R, SAS) Skilled with workflow automation tools and concepts like, cron jobs, Airflow, etc.Proven track record managing teams of data scientists, multiple projects, and timelines in a fast-paced environmentHigh aptitude for influencing decisions using analytics at a fast-growing firm, a leading consultancy, a financial services company, or similarKnowledge of data visualization tools (e.g. Looker, Tableau) a plusFamiliarity with leveraging APIs for data extraction purposes a plus
Additional Information
What's Next
If you're interested in joining the team at Etsy, please share your resume
with us and feel free to include a cover letter if you'd like. As we hope
you've seen already, Etsy is a place that values individuality and variety.
We don't want you to be like everyone else -- we want you to be like you!
So tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace furthers
relevance, resilience, and longevity. We encourage people from all backgrounds,
ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity
workplace and is an affirmative action employer. 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. If, due to a disability, you need an accommodation during any part of the
interview process, please let your recruiter know. While Etsy supports visa
sponsorship, sponsorship opportunities may be limited to certain roles and skills.
For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones
within the location header of each job description. We're open to remote hires from all
U.S. states except Hawaii and Alaska.


Data Scientist India

Token Metrics is searching for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

As a machine learning engineer, you should demonstrate solid data science knowledge and experience.

A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive models.

Responsibilities

Consulting with the manager to determine and refine machine learning objectives.
Designing machine learning systems and self-running artificial intelligence (AI) to automate predictive models.
Transforming data science prototypes and applying appropriate ML algorithms and tools.
Ensuring that algorithms generate accurate user recommendations.
Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
Developing ML algorithms to analyze huge volumes of historical data to make predictions.
Stress testing, performing statistical analysis, and interpreting test results for all market conditions.
Documenting machine learning processes.
Keeping abreast of developments in machine learning.

Requirements

Bachelor's degree in computer science, data science, mathematics, or a related field.
Master’s degree in computational linguistics, data science, data analytics, or similar will be advantageous.
At least two years' experience as a machine learning engineer.
Advanced proficiency with Python, Java, and R code.
Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
In-depth knowledge of mathematics, statistics, and algorithms.
Superb analytical and problem-solving abilities.
Great communication and collaboration skills.
Excellent time management and organizational abilities.

About Token Metrics

Token Metrics helps crypto investors build profitable portfolios using artificial intelligence based crypto indices, rankings, and price predictions.

Token Metrics has a diverse set of customers, from retail investors and traders to crypto fund managers, in more than 50 countries.


Senior Applied Data Scientist Media Mix Modeling

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.
Job Description
Are you interested in using data science to solve new and challenging problems in innovative ways — like helping a media conglomerate measure the impact of their marketing and advertising campaigns to optimize investments across a wide range of media channels? Civis Analytics is looking for a Sr. Applied Data Scientist to join our commercial Applied Data Science (ADS) practice and help us solve some of the most challenging and interesting questions facing Media businesses today.
The Applied Data Science team is the advisory arm of Civis Analytics, working closely with organizations to help solve their toughest challenges with data science. Our Media sector practice provides data science solutions for media conglomerates, nonprofits, and advocacy groups seeking to leverage media-mix-modeling to reach their target audiences in the most effective way.
Responsibilities

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

Handling client relationships and communication on day-to-day projects and initiatives, with stakeholders of varying technical experience or familiarity with methods
Leading and structuring project research design, including statistical analysis, modeling techniques, and data management methods, and working with cross-functional teams of data scientists and software engineers where necessary to create and implement solutions
Managing the unification of large 1st- and 3rd-party datasets, and building predictive models
Translating findings into clear, actionable, and timely insights with the appropriate business context

As part of the Media sector practice:

Work closely with Applied Data Science teams to develop performance measurement reporting and media mix modeling to demonstrate the impact of cross channel activities through media

Influence and collaborate on channel-level media strategies based on marketing, audience, and consumer insights.

Collaborates with stakeholders and leadership to ensure that the most effective channel mix is implemented to achieve our customer’s strategic business priorities

Other job responsibilities include:

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

Qualifications

Must have experience with Media or Marketing Mix Modeling
Bachelor’s degree in an analytical subject (statistics, math, economics, physics, engineering, business, political or social science, computer science, etc.)
6+ years of work or post-graduate experience in a field of analytical science
Proven success in using data insights and analytics to inform audiences, markets, and targeting to optimize campaign performance and drive acquisition
Experience in designing and analyzing in-market survey research
Understanding of online and offline media planning to define and rationalize the best channel mix to maximize the reach and impact against different audiences
Shown affinity for and experience working with large or messy data sets
Proficiency with statistical programming languages (R, Python, etc.) and proven ability to work pragmatically with statistical concepts
Proficiency with presentation or data visualization software, such as Microsoft PPT, Tableau, Shiny, etc.
Excellent interpersonal and communication skills
US work authorization

Preferred Qualifications

Experience framing and communicating analytical results to stakeholders at a variety of levels
SQL experience
Experience working in a consulting or advisory function
Experience mentoring more junior members of a team
Practical understanding of and experience with predictive analytics, machine learning, and/or causal inference
Familiarity with software development tools and practices (Git, code review, etc.) Competencies
Experience in designing and analyzing in-market survey research

All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review.
Who we are
Civis offers opportunities for newcomers, seasoned professionals, and anyone in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily, and we trust and encourage you to act on your ideas—no matter how big they are.
We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo, and finding new ways to help our company—and each other—grow.
Why join our team?

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

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

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


Senior Data Science Manager

We believe that when passionate people are able to spend less time struggling with technology, they can spend more time on what matters - like teaching children, running businesses, keeping airports safe, and connecting disaster victims with relief. That’s the real power of simplicity. Cisco Meraki is the leader in cloud-managed IT, thanks to our creative, inclusive, fearless team that is driven to simplify technology so the world can simply work!
Cisco Meraki is revolutionizing the way IT administrators manage their infrastructure by providing simple and secure cloud-managed solutions! With a large install base of customers and rich, multi-dimensional data sets, the potential for data analytics to improve business performance for both our customers and our own business is enormous.
ABOUT THE ROLE
The Data Science team is a growing group that works closely with executives and leaders across the company to support the business strategy. As a Senior Manager of Data Science, you will develop multi-functional relationships and use quantitative methods to deliver value to the customers and enable data-driven product development. This would be an outstanding fit for a technical leader who has the ability to work autonomously, and can drive technical efforts building robust and resilient auto-scaling ML solutions. If you love to shape the vision and strategic role of Data Science, then this will be the role for you.
WHAT WILL YOU DO

Engage with Product and Engineering leaders to identify and deliver customer centric strategic analysis to find opportunities and support key Application domain product and business initiatives beyond the scope of supporting reactive requests.
Lead development of ML solutions collaborating with the Data Science Infrastructure team through every stage of ML workflow including data ingestion, model building, and model ops.
Collaborate actively with Product Management, Engineering and UX to measure the impact of product launches, including validating behavior tracking, defining success metrics, aligning on experimental approaches and communicating metrics impact
Work with partners across organizations to improve data infrastructure, enrich dataset and improve data quality to support ML solutions at scale
Manager and guide a team of Data Analysts and Data Scientists and provide guidance on technical models and analyses produced by the team.

WHAT SKILLS YOU POSSES

8+ years of Data Science experience for software products, e.g. networking software, online shopping, social site, streaming services, gaming, etc.
Minimum of 2+ years of experience of building and retaining a high-performance and diverse Data Science team in a formal capacity
Masters/PhD in Statistics, Operation Research, Applied Mathematics, Economics, Computer Science, or a quantitative field preferred.
Demonstrated leadership across managing high visibility projects and solve problems quickly with minimal oversight
Outstanding problem solving, technical and data science skills
Strong written and oral presentation skills and able to communicate sophisticated concepts to various audience
Attention to details and balance operation and strategic perspective of running data science organization
Proficiency with Excel, SQL, Statistical modeling, web analytics tool, and Python (or R)

BONUS POINTS FOR:

2+ years of experience in Networking Product domain
2+ years of experience lead technical decisions and design discussions

We encourage you to drop us a line even if you don’t have all the points above. That's a lot of different areas of responsibility! We will help you pick them up because we believe that great engineers come from diverse backgrounds.
At Cisco Meraki, we’re challenging the status quo with the power of diversity, inclusion, and collaboration. When we connect different perspectives, we can imagine new possibilities, inspire innovation, and release the full potential of our people. We’re building an employee experience that includes appreciation, belonging, growth, and purpose for everyone.
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.
Message to applicants applying to work in the U.S.: When available, the salary range posted for this position reflects the projected hiring range for new hire salaries in U.S. locations. For non-sales roles, the hiring ranges reflect base salary and do not include bonuses, equity, or benefits. Hiring ranges for sales positions include base and incentive target, and do not include equity or benefits. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications or training. Applicants may not be eligible for the full salary range based on their U.S. hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.

Compensation Range: $166,700 - $269,600

#LI-Remote


Lead Data Scientist

At MNTN, we’ve built a culture based on quality, trust, ambition, and accountability – but most importantly, we really enjoy working here. We pride ourselves on our self-service platform, originally coded by our President and CEO, and are constantly seeking to improve the user experience for our customers and scale for efficiency. Our startup spirit powers our growth mindset and supports our teammates as they build the future of ConnectedTV. We’re looking for people who naturally want to do more, own more, and make an impact in their careers – and we’re seeking someone to be part of our next stage of growth.
As a Lead Data Scientist on our Targeting team, you will guide the analysis, methodologies, prototypes and evolution of our audience targeting system. You will lead other data scientists, data engineers, and machine learning experts as well as collaborate with Product Owners, Data Analysts, Software Engineers and other stakeholders to create and iterate on various data intensive products.
What You’ll Do:

Become the end to end expert on attributing impact of advertisements in an ambiguous and privacy-focused ecosphere.
Identify business opportunities and gaps in data insights for both internal and external stakeholders.
Lead discussions with other technical and non-technical functions.
Propose, implement, and evaluate mechanisms to connect event data across a variety of platforms.
Utilize a variety of mathematical techniques and communicate them to others.
Investigate critical incidents and provide insights to data ambiguity.
Communicate findings and knowledge to others including vice president and c-suite stakeholders.

What You’ll Bring:

6+ years of experience related to experimentation, A/B testing, causal analysis, machine learning, look-alike modeling, ranking or equivalent. Advanced degrees in Computer Science, Mathematics, Electrical Engineering, Statistics, Economics or similar may be substituted for some years of experience.
Experience in SQL, Python, Jupyter Notebooks, R, or similar languages and a history of technical mentoring.
Hands-on experience working with NoSQL, Spark, Hive, BigQuery, Databricks, Snowflake, or similar technologies.
Written and verbal communication skills to convey complex technical topics to a variety of audiences.

MNTN Perks

100% remote
Open-ended vacation policy with an annual vacation allowance
Three-day weekend every month of the year
Competitive compensation
100% healthcare coverage
401k plan
Flexible Spending Account (FSA) for dependent, medical, and dental care
Access to coaching, therapy, and professional development

About MNTN:
MNTN provides advertising software for brands to reach their audience across Connected TV, web, and mobile. MNTN Performance TV has redefined what it means to advertise on television, transforming Connected TV into a direct-response, performance marketing channel. Our web retargeting has been leveraged by thousands of top brands for over a decade, driving billions of dollars in revenue.
Our solutions give advertisers total transparency and complete control over their campaigns – all with the fastest go-live in the industry. As a result, thousands of top brands have partnered with MNTN, including, Petsmart, Build with Ferguson Master, Simplisafe, Yieldstreet and National University.
#Li-Remote


Assistant Director Data Science

The Global Retail Markets (GRM) Product Pricing Sophistication research team mission is to discover and provide new ways to advance the sophistication of our price modeling and ignite innovation across Product, Design and Modeling and Global product design. The team is seeking a skilled and experienced data scientist to work as an individual contributor, with focus on machine learning engineering (MLE), to lead and support research projects.
The successful candidate will have a proven track record of working effectively with highly talented professionals to develop creative solutions to complex problems, be comfortable with data handling, modeling, coding, deployment and have an appreciation of what makes sense from a business standpoint. We are looking for data scientists, with focus on machine learning engineering, that are comfortable with model deployment and monitoring at scale. Solid technical skills with machine learning engineering are critical to the role, and the individual we hire will work very closely with the team and business stakeholders as we work to test and implement new ideas.
Responsibilities:
Lead deployment, monitoring, and maintenance of research models for business use cases.
Research the latest advancements in the field of MLE and MLOps and help keep the team on the cutting edge for the field.
Help establishes project plans, ensures quality deliverables within agreed upon timeframes, communicates results and makes recommendations to address issues
Provides strategic input and thought partnership on complex projects and business issues
Collaborates with analytical peers and counterparts across Liberty Mutual and GRM to stay on top of business trends and analytical best practices
Collaborates to identify new strategic opportunities for use of theoretical methods and tools. Applies forward-looking thinking to inform methodological advancement. Drives innovation in the application and development of tools and practices.
Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
Enables the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes.
Responsible for larger components of highly complex projects. Guides aspects of project design as a technical consultant for the team.
Customizes analytic solutions to specific client needs.
Regularly engages with the data science community and leads cross-functional working groups.
Ideal candididate will have:
Proven engineering and analytical skills, as normally acquired through an advanced degree in Computer Science/Software Engineering, and 2+ years of relevant experience, or may be acquired through a bachelor’s degree and 4+ years of relevant experience.
Strong demonstrated background in programming (Python highly preferred) for Machine Learning/Deep Learning models with the ability to build, deploy and monitor models of moderate complexity outside of academic setting.
Proven track record in participation and project management of modeling projects. Ability to exercise discretion and apply independent judgment and well-developed critical thinking skills in innovation, problem solving and execution of projects.
Demonstrated ability to exchange ideas and convey complex information clearly and concisely to technical and business leaders, both verbally and in writing.
Ability to establish and build effective relationships within and across functional groups
Job Specifications:
Reference:  2022-53279
Category: Analytics
Primary Location: Boston, MA
Additional Locations: Remote
Schedule: Full-Time
Salary: USD-$134,000.00-–-$189,600.00-/-Year
Education Level:
 Travel: As Needed


Senior Research Scientist

About the Team
As a Senior Research Scientist at Opendoor, you will partner with Product, Engineering, and Operations to drive the business forward with data. You’ll set up data and measurement strategies to understand the state of our products and operations, understand if any new initiative achieves positive impacts through experimentation and causal inference, and build machine learning and optimization models.
Role Responsibilities:

Define the data strategy, including creating metrics with existing systems to understand our products and policies, and designing the next generation intelligent systems to improve our real estate pricing and operations practices
Build models and policies to help teams achieve their business objectives
Design experiments and conduct causal inference to determine effect of our initiatives
Become a domain expert in real estate

Skills Needed:

Expertise in statistical inference and machine learning modeling
Proficiency working with complex and fast evolving data sets
Experience in product analytics and experimental design
Strong written and verbal communication skills to influence non-technical audiences with analytical insights
5+ years of industry experience with advanced degree in a quantitative field
Proficiency in SQL or any other database languages and numeric programming in Python, R or other languages

Bonus Points:

Fraud or incident detection
Working with hardware and sensor data
Time series analysis and forecasting
Optimization under uncertainty and risk management

Compensation:
Remote roles in the US: The base salary range for this position in Colorado, Connecticut, Washington, and New Jersey is $164,000 - $253,000 yr, and in California and New York City is $164,000 - $253,000 yr. Base salary may vary depending on relevant experience, skills, geographic location, and business needs. We offer a comprehensive package of benefits including paid time off, 12 paid holidays per year, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.
#LI-Remote#LI-SL3
More About Us
To learn how we are reinventing the Real Estate industry check out our website, to hear about our culture directly from team members visit The Muse and to discover what we are building for our customers read our blog posts.
We Offer the Following Benefits and Perks
• Full medical, dental, and vision with optional 85% coverage for dependents
• Flexible vacation policy
• Generous parental leave
• Paid time off to volunteer
Please note that these benefits and perks are available only to Full Time team members and do not apply to contract roles.
Opendoor Values Openness
Our team celebrates our diverse backgrounds. We believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. For California residents: for more information about the categories of personal information that we collect for recruiting purposes, please see our personnel Privacy Policy.


Summer Internship Data Science Music Mission Us

The Music Expression team is focused on enabling creative expression through and around music and video by artists, aspiring creators, and fans. Our products are used at scale -- over 1,000,000 active artists in Spotify for Artists and more than 380,000,000 listeners.

We are looking for a Data Scientist Intern to Join The Band and help drive a data-first culture across Spotify. Our Data Scientist mission is to turn terabytes of data into insights and get a deep understanding of music and listeners so that we can impact the strategy and direction of Spotify. You will study user behaviour, critical initiatives, markets, content, and new features and bring data and insights into every decision we make. Above all, your work will affect the way the world experiences all forms of music expression.

What you'll do

Perform analyses on large sets of data to extract practical insights from both the creator and consumer experience that will help drive decision-making across the business.
Define metrics and help set goals to align different stakeholders and work streams on how to measure our success and progress.
Build dashboards, data pipelines, and recurring reporting results, providing insight into how our products are being used and identifying new product opportunities.
Communicate data insights and recommendations to key collaborators.
Work closely with cross-functional teams of product owners, marketers, user researchers, engineers, designers, and others across the company who are passionate about Spotify’s success.
Be a member of the Spotify-wide data science and insights community.

Who you are

Pursuing a degree (Bachelor’s or Master’s) in Computer Science, Statistics, Mathematics or fields that prominently feature the application of statistics, such as Physics, Economics, Biology, or Psychology.
Have a graduation date of 2023
Currently have valid work authorization to work in the country in which this role is based that will extend from June to August 2023.
Possess strong interpersonal skills and comfort working with partners across fields.
Harbor a passion for numbers and the use of data to make decisions.
Experienced in cleaning and performing analyses with large datasets and coming up with thoughtful answers and impactful insights.
Proficient in Python and SQL and experienced with data visualization tooling (e.g. Tableau, Looker)
Familiar with dbt, Airflow, or similar data transformation tools.
Experienced with A/B testing methodologies and various analysis techniques, such as significance testing, regression, statistical modeling, or machine learning.

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. Preferably in New York.
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.

Our paid summer internships last for 10-13 weeks and start at the beginning of June. The last day to apply is February 27th, 2023 at 10AM EST.

The United States hourly rate for this position is 33.00 USD (Undergraduate First Year & Sophomores), 42.00 USD (Undergraduate Juniors & Seniors), 49.00 USD (Masters) & 58.00 USD (PhD) per hour plus a one time intern stipend of 2,253 USD. This position is overtime eligible. These rates may be modified in the future.

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.


Summer Internship Data Scientist Experience Mission Emea

Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music and audio they love to the devices, apps and platforms they use every day.

We are looking for Data Scientist Interns to Join The Band and help drive a data-first culture across Spotify. Our Data Scientist mission is to turn terabytes of data into insights and get a deeper understanding of music and listeners so that we can impact the strategy and direction of Spotify. You will study user behaviour, critical initiatives, markets, content, and new features and bring data and insights into every decision we make. Above all, your work will impact the way the world experiences audio.

What you'll do

Perform analyses on large datasets to extract practical insights on the user experience that will help drive decisions across the business.
Build dashboards, data pipelines, and recurring reporting results, empowering creative growth and business decision making.
Communicate data-driven insights and recommendations to key collaborators.
Work closely with multi-functional teams of analysts, product owners, marketers, designers, and others across the company who are passionate about Spotify’s success.
Be a member of the Spotify-wide data-science community.

Who you are

You are pursuing a degree (Bachelor’s or Master’s) or bootcamp certification in Statistics, Mathematics, Computer Science, Engineering, Economics, or another similar quantitative subject area.
You have a graduation date of 2023 or 2024
You currently have valid work authorization to work in the country in which this role is based that will extend from June to August 2023
Strong interpersonal skills and comfortable working with partners across disciplines
You harbor a passion for numbers and the use of data to make decisions
Experience using various analysis techniques, such as linear and logistic regression, significance testing, and statistical modeling
Familiarity with A/B testing methodologies
Proficiency with Python, R, or similar programming languages
Proficiency in SQL (We use Google BigQuery)
Experience performing analysis with datasets and generating relevant answers and impactful insights

Nice to have: experience with data visualization tooling (Data Studio, Tableau, etc.)

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 EMEA region in which we have a work location.
Prefer an office to work from 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 Central European time zone for collaboration.

Our paid summer internships last for 10-13 weeks and start at the beginning of June. The last day to apply is February 21st, 2023 at 12 PM CET.

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.


Lead Data Analyst Scientist

At Domestika we are hiring a Lead Data Analyst/Scientist - Remote - Time Zone GMT, GMT +1, and GMT +2.
We are hiring a Lead Data Analyst/Scientist for the Growth data team!
This position is remote-first (within EU time zones) with the possibility to come to the office (Barcelona, London, or many others!) depending on global health factors. Fluency in English is required for the role, basic Spanish fluency is also welcome.
At Domestika, we are creating an environment where data analysis is a driving force for our decisions and strategies. In our organization, our Analysts work closely with decision-makers to create and measure real impact.
Domestika is the fastest-growing creative community where the best creative experts share their knowledge and skills through professionally produced online courses.
It all started as an online forum and a small but dynamic showcase of creative professionals, designed to help them connect and learn from each other. Inspired by their thriving community, Domestika widened its reach by producing online courses for anyone interested in unleashing their creative potential and connecting with like-minded creatives from around the world.
Domestika carefully curates the teacher roster and produces all the courses in-house, to ensure a high-quality online learning experience for everyone. Today, the online community is home to over 8 million people from around the world who are curious and passionate about learning new creative skills.
Where will you land?As a Lead Data Analyst/Scientist in the Growth Data Team, you will lead a team of Senior Data Analysts and will help them to grow both professionally and personally.  Besides sharpening and multiplying their analytical skills, you will help them to schedule, prioritize, define scopes and deliver value to their business stakeholders.
We also believe in leading teams by example, so we expect you to be a hands-on leader, willing to get your hands dirty in the datasets, models, queries, and everything that your team needs support on.You will also coordinate with the other data leads to work on key analyses and projects that are considered to have the highest impact, and risk, or that have broader application scope.You will be periodically reporting to the Data Director about the progress of the team and will spot and anticipate the main challenges, risks, and blockers that you are facing to perform your work.
What do we expect from you?
We are looking for somebody that shows both good technical and people skills that can empower a Senior Data Analytics Team and help them reach up to their top performance by providing them the tools, time, and purpose for their daily activity.You’ll try to anticipate their needs and limitations, and also help the Data Director on creating a career path for the whole of the team. That may involve collaborating on building a network of relevant people in the organization to best serve the Growth Data needs.In order to be hands-on, you need to have good technical skills to work with git, SQL, Python, and/or R notebooks and code.Considering that you’ll also be frequently in touch with the Data Engineering team, you will also need a clear understanding of how ETL pipelines work, among other Data warehousing and Data Engineering related topics.Understanding how Data Science, Machine Learning, and Artificial Intelligence work, or having some common understanding of other Data and Software Engineering related topics such as Frontend, Backend, and Mobile development will be a plus.Finally, you’ll ensure that other non-data, non-technical profiles in the company can transparently get access to the tools they need to do their job so that they can feel empowered to perform data-driven questions and eventually get them answered. This may involve preparing and performing learning sessions for people from other departments.
What can help you to reach those goals?
As a Lead:
Proven experience for at least 2 years leading a team of at least 3 peopleExperience applying agile methodologiesScrum or any other agile methodology certification is a plusCommunication and leadership skills
As a hands-on Lead Analyst we are particularly interested in profiles with proven experience in as many of the following areas/topics as possible:
Google Analytics and Amplitude event tracking/telemetryUser attribution and User acquisition (experience with AppsFlyer is a plus)CRM and Marketing automationMarketing budget allocation algorithmsIncrementality measurementPrice elasticity modelsChurn / LTV modelsUser segmentationRecommendation systemsProduct management with a clear focus on data tools
Requirements:
3+ years of experience as a Data Analyst preferably in a digital company, consumer apps2+ years of experience as a Lead of at least 3 peoplePeople, communication, and leadership skillsTrack record of leading analytical projectsAbility to read and write complex SQLAbility to write Python code in order to handle data analyses (pandas, numpy, matplotlib, seaborn, plotly, scikit-learn, XGBoost or similar), but the more the betterStrong organizational skills, attention to detail, and ability to effectively manage projects supporting multiple business partnersPreferably, a Math/Statistics/Economics degree or equivalent.Based within the European time zoneEnglish required at Full professional proficiency
Would be a plus:
Familiarity with Analytics and Business Intelligence platforms - Periscope, Amplitude, Mixpanel, Google Analytics, etcExperience in defining tracking events and tagging for AnalyticsAbility to work independently, take the initiative, and have a high level of ownership
What do we offer?
Working in one of the leading companies in the creative industryA fun, creative, collaborative, and multicultural teamDomestika Staff Account to have access to all of our courses for freePossibility to work remotelyPrivate health insuranceA salary according to your experience and profile


Bioinformatics Scientist

Color is a health technology company that makes population-scale healthcare programs accessible, convenient, and cost-effective for everyone.  We have raised $100 million in Series E funding, bringing our valuation to $4.6 billion and our total raised amount to $378 million. We work with governments, public health institutions, employers, and national health initiatives around the world to provide the tools for preventive health and infectious disease management, including testing, vaccinations, and other services.
Apply to join Color and do the most meaningful work of your career. If you are not sure that you’re 100% qualified but are up for the challenge - we want you to apply!
What we offer:
💰 Competitive salary
✨  Comprehensive medical, dental, vision, life, and disability benefits. Including employer HSA contributions.
📈  401k match
📝 Monthly lunch, phone, and wifi stipend for remote employees
🏝 Generous vacation policy, paid holidays, and company-wide recharge days
💌  Monthly  stipend to spend on your well being
🍼  Equal paid parental leave for birthing and non-birthing parents
🧬 Four complimentary clinical-grade genetic testing kits for you and your family
The Bioinformatics team at Color is composed of folks with diverse previous experience in next generation sequencing (NGS) technologies, genomics, big data, cloud computing and machine learning. We are responsible for building the clinical NGS analysis pipeline, identifying novel classes of genomic variation, building tools for genomic interpretation and collaborating with R&D lab scientists to bring new products to market. As Color expands our genomics platform in new and exciting directions, we are continuing to bring on top talent in bioinformatics.
We are seeking a strong scientist with deep experience in genetics, bioinformatics, and NGS technology to grow this team. Ideal candidates will bring expertise, humility and a strong intellectual curiosity to our overall mission of democratizing access to genetic information.
How You’ll Contribute:
Generate and pursue novel ideas for genetic testing.Introduce and incorporate emerging computational methodologies in our bioinformatics codebase. Collaborate with laboratory scientists and data scientists to translate R&D work to clinical production analyses.Act as domain expert both for internal and external collaborations.Assist in troubleshooting with our high-throughput clinical laboratory.
Our Ideal Candidate Will Have:
You have 5+ years of experience as a bioinformatics scientist or computational biologist (or equivalent role). You are intimately familiar with standard bioinformatics tools (BWA, GATK, DeepVariant, etc.) and have experience working with advanced bioinformatics concepts such as graph alignment, genotyping of complex haplotypes, etc.Intermediate proficiency in Python is required. You maintain a high bar for quality of code and work aggressively to eliminate unnecessary duplication and awkward workarounds.You understand how to evaluate scientific publications/presentations in terms of underlying challenges and potential impact.You effectively communicate technical information to both technical and non-technical collaborators: you identify core challenges in complex situations, explain trade offs, and incorporate feedback to make decisions using code reviews, docs, wikis, meetings, and other channels as needed.
Nice to Have:
You have analyzed large sequencing datasets to identify variants across the full spectrum of size and complexity (SNV/indel, CNV, inversions, mobile element insertions, haplotypes).You are familiar with a variety of sequencing platforms: short-read SBS, linked-read, long-read, optical mapping, etc.You have experience shipping code in a clinical production environment (GitHub).You are familiar with high performance and distributed computing systems (AWS, GCP).You have experience running pipelines using workflow engines such as Toil and workflow languages such as CWL or WDL.You have successfully employed relevant concepts from data science (machine learning, imputation, etc.) on biological data.You are familiar with CAP and CLIA guidelines.You understand the key concepts in pharmacogenomics.
Possible Projects To Contribute To:
Define our next clinical product and generate proof-of-concept data.Adopt algorithms that enable extracting additional actionable clinical insights from sequencing data.Drive our scientific progress as a domain expert, with internal and external collaborators.Create a basic bioinformatics pipeline to evaluate a novel sequencing platform.
#LI-MY1
#LI-CRE
#LI-REMOTE
Color is an equal opportunity employer. In accordance with anti-discrimination law, it is the purpose of this policy to effectuate these principles and mandates. Color prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Color conforms to the spirit as well as to the letter of all applicable laws and regulations. We are also committed to providing reasonable accommodations for qualified applicants with disabilities in our recruitment process.
Mandatory Vaccination Policy Disclosure
COVID-19 Vaccination Requirement: Color requires anyone working onsite or visiting Color’s offices to confirm they are fully vaccinated against COVID-19 unless a medical or religious accommodation is timely requested and approved.  Please reach out if you have questions or concerns about this policy and how it may apply to your candidacy for a role with Color.


Associate Data Scientist

Infogrid is helping protect the planet and improve the lives of billions of people by making every building a smart building.

Our goal is to be the global provider for connected devices in smart buildings. We already handle millions of events every day from tens of thousands of sensors and we’d like you to help us scale that by an order of magnitude over the coming months.

Sustainability is at our heart; buildings account for 39% of global carbon emissions and we’re creating real solutions to impact this!

We are still early in our journey but have already achieved a lot; we raised a successful series A funding round, grew 5x in employee numbers within 12 months, and voted one of the top 10 most flexible places to work.

Want to know more about how we'd building Infogrid? Our CTO wrote a blog post about this.

Using data science we are developing a platform to help facilities managers increase the comfort for occupants of their buildings whilst decreasing their costs and environmental impact. Through both direct sensor readings and inferred, machine learning-based outputs we surface previously unknown or unmeasurable information to offer a holistic picture of buildings and their use. As a result we can offer insights, recommended actions, and predictions to aid planning in a real-time fashion never before possible or practical - for reasons both of hardware availability as well as data storage and processing. We innovate at the edge of what can be done in the new era of IoT, and data science is central to the company’s goal of offering ever-more useful insights to our clients.

We maintain strong software development practices at all times and, above all, a mindset focussed on deployment. It is through this culture the data science team ensures its effectiveness and ability to quickly deliver value to our clients. In this way the data science team remains central to all stages of product development from innovation, development and testing, deployment, iteration and ongoing maintenance. We seek those with a strong focus on product development and driving customer value alongside robust software development best practice, mathematical and machine learning focus, management of machine learning deployment, and a growth mindset.

In the Data Science Team We:

Design novel software applications based on sensor inputs and machine learning models from concept through physical experimentation with sensors, to development of software products, to production deployment in the cloud
Collaborate with other domains of the business such as EngOps, front- and backend-engineering teams, sales, operations, and product development
Experiment with new technologies to harness an unparalleled dataset through innovative ideation
Retain robust software engineering practices at all times with an eye always on long-term maintainability, readability, reliability

For This Role We Look For:

A strong academic background grounded in mathematics and statistics, or equivalent work experience
A strong level in Python, or a reasonable familiarity with Python and demonstrable strength in several other languages
An interest in innovating new machine-learning products for real-time event-driven applications
Always a preference for the 80% solution in production over the perfect solution on a laptop
A keen interest in product development and awareness of commercial factorsAn interest in the deployment of machine learning models in production environments

What You Would be Doing:

Working in cross-functional teams to develop new and innovative products based on machine learning and statistics
Working collaboratively to ensure products are developed in line with customer interest
Working with others to plan and implement project work with guidance
Spending one day a week on a structured learning programme

We think Infogrid is a great place to work - we’re a recently funded and rapidly growing startup so it’s not perfect but:

❤ Feel good about your work: Infogrid is actively helping big companies reduce their environmental footprint. We also offset everyone’s carbon footprint.
🤸 We’re flexible: We encourage remote working and offered flexible working hours before COVID and we’ll keep that flexibility afterwards.
📚 Learn and get promoted: Join us at the start of our journey - we’re growing quickly and believe in promoting from within. You can learn and grow your career here.
🌟 Improve yourself: We give everyone a day per month to focus on personal development.
🧑🏽🤝🧑🏽 Make friends: Everyone here is lovely.
🏠 Added bonus: We give everyone options in the company.
🚀 Join a legitimately secure tech start-up: $15.5M funding round is great of course but more importantly we have real paying customers and a good, growing revenue stream.

And we'll do everything we can to support you during your application. If you need us to make any adjustments to your recruitment process, speak to our recruitment team who will be happy to support you.


Data Scientist

Vevo is the world's leading music video network, connecting an ever-growing global audience to high quality music video content for more than a decade. Founded by Universal Music Group and Sony Music Entertainment in 2009, Vevo offers fans worldwide a vast array of premium content to choose from, showcasing official music videos alongside a constantly developing lineup of live performances and innovative original programming. From top superstars to rising new talents, Vevo brings incomparable cross-promotional support to artists across the musical spectrum, at every stage of their careers.

Vevo has consistently evolved over the past decade to lead within today's ever-changing media landscape, embracing partnerships with a number of leading distribution platforms to deliver extraordinary content within ad-supported environments. With more than 26B views across television, desktop and mobile devices each month, Vevo brings music videos to the world – when, where, and how fans want them.

Vevo is available on YouTube, Samsung, Samsung TV Plus, Amazon Fire TV, Amazon Echo Show, PlutoTV, Apple TV, Roku, Comcast (Xfinity X1 and Xfinity Flex), VIZIO, Sky (NowTV and SkyQ), Foxxum, XITE, NetRange, Redbox, T-Mobile Play, Virgin Media, Xumo, Telstra and Vewd.

The Data Science team’s mission is to harness the power of Vevo’s data to provide better experiences for Vevo’s end users, advertisers, artist & label partners, along with deep insights for internal business groups.

This team is also the champion of experimentation and the scientific method, helping to bring data science methodologies to an ever-growing number of business domains.

If this job description is not a perfect match, but you are passionate and skilled about data science and music video, you are encouraged to apply.  Qualified candidates with non traditional backgrounds will be considered if they are a good fit.

This is a full-time position and is a remote role.

 As a member of our team, you will

Work as part of a team member of one or more ‘squads’ focused on tackling some of Vevo’s most important challenges
Be given a huge potential to innovate in a green-field space: music video offers a unique opportunity for experimentation at scale, building on learnings gleaned from both the music and video verticals
Have a big impact on decisions across all areas of Vevo’s business, including content development, marketing & promotion, advertising and monetization
Become a trusted advisor to our senior leadership team, and help grow Vevo’s industry profile through targeted public speaking opportunities

This describes you

You have a successful track record deploying data science frameworks and approaches in ‘greenfield’ environments, working with a range of stakeholders
Proven experience with a variety of ML packages and technologies in python, such Deep Learning (TensorFlow, PyTorch, GANs, RNNs, CNNs), NLP (HuggingFace), Decision Trees (RF, XGBoost),  and SciKitLearn packages, for both supervised and unsupervised tasks.
A comprehensive understanding of the advantages, disadvantages, and limitations of the most common ML algorithms, with strong knowledge base and intuition for the best choice for a given application.
You’re not shy about handling your data needs and have a solid grasp of SQL and distributed data ETL processes (preferably in Scala / Spark) such as MapReduce, filters, aggregations and joins.
You have a solid grasp of statistics and how it enables data scientists to solve business problems
You thrive on working in an agile team environment
You enjoy music and internet video and possess a deep curiosity for creating music entertainment experiences as well as harnessing the power of data to unlock growth opportunities on global distribution platforms such as YouTube
Passionate about making a business impact

Requirements

At least 2 years of experience working as a data scientist
Excellent written and verbal communication skills, with a successful track record of collaboration and influence within a fast-paced environment
Passion for data science advocacy and education

Interested? Great! You might like to know

We are a fun, energetic tight-knit team with a passion for music and technology
In office/external happy hours
Remain up to date with new technology including hosting/attending meetups
Excellent benefits package
Competitive compensation packages
Premier access to music content and new releases of original media content
Concert ticket giveaways
401k Match

The pay range for this position is: $110k - $130k per year. Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law.

This is a full-time position based on-site/in the office (unless otherwise noted in the job posting that this role is fully remote). Vevo will operate in a hybrid work model and will require employees to be in office 2-3 days a week, on average.

Vevo considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, age, disability, genetic information, veteran status, or any other legally protected status under local, state, or federal law.


Senior Data Scientist Nlp

With unmatched technology and category-defining innovation, Icertis pushes the boundaries of what’s possible with contract lifecycle management (CLM). The AI-powered, analyst-validated Icertis Contract Intelligence (ICI) platform turns contracts from static documents into strategic advantage by structuring and connecting the critical contract information that defines how an organization runs. Today, the world’s most iconic brands and disruptive innovators trust Icertis to fully realize the intent of their combined 7.5 million+ contracts worth more than $1 trillion, in 40+ languages and 90+ countries.

Who we are:  Icertis is the only contract intelligence platform companies trust to keep them out in front, now and in the future. Our unwavering commitment to contract intelligence is grounded in our FORTE values—Fairness, Openness, Respect, Teamwork and Execution—which guide all our interactions with employees, customers, partners and stakeholders. Because in our mission to be the contract intelligence platform of the world, we believe how we get there is as important as the destination

We are looking for multiple Senior Data Scientists. The Senior Data Scientist is a detail oriented forward-thinking individual who is an expert in natural language processing, can apply existing approaches and devise new approaches and algorithms for retrieval, information extraction and language understanding. The desired candidate will be at ease with contemporary machine learning, natural language processing frameworks and will be able to critically evaluate and design, build, and support pipelines that can analyze contract document collections at scale. When no suitable approaches are available, the desired candidate can craft new and innovative machine learning and language processing solutions. Knowledge of enterprise level software architecture and components is a plus though not essential. The desired candidate will have strong verbal and written communication skills, be effective in interacting with technical and non-technical professionals and be comfortable with working in a team. This position can work remotely in the US. #LI-REMOTE

What You Will Do:
Evaluate, apply, and create machine learning and natural language processing algorithms and solutions to develop the next generation of contract analysis and synthesis capabilities.

What You Will Bring:

10+ years of total experience with 6+ yrs of exp in AI/ML & NLP.
5+ years experience in NLP.
An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in programming and significant experience with text analytics/NLP.
You should have a strong background in machine learning (unsupervised and supervised techniques). In particular, excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, Attention, Generative  Models etc.
Experience with text mining, parsing, and classification using state-of-the-art techniques.
Experience with information retrieval, Natural Language Processing, Natural Language Understanding and Neural Language Modeling.
Ability to evaluate quality of ML models and to define the right performance metrics for models in accordance with the requirements of the core platform.
Experience in the Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK, Gensim, etc.
Excellent verbal and written communication skills.
Ability to work with minimal supervision and guide junior members of the team.

Base Salary Compensation:
Min $ 195,000
Max $ 293,000

In addition to the base salary an annual target bonus and equity component is included in the compensation package.

What we offer:

We are committed to the health and well-being of all Icertians, their families, the communities they live in, and our customers. This commitment is represented in the Icertis “Four Rings of Responsibility”: Take Care of Self, Take Care of Family, Take Care of Community, and Take Care of Business, in that order.

To support these commitments, Icertis offers excellent health and welfare benefits, a generous 401k match, and a robust paid time off program.  Here are some of the other reasons we’ve been named a  Top Company to Work for by Seattle Business Magazine for the fifth year in a row!

•Equity (RSUs) and shared ownership in the company

•Flexible work location (role dependent)

• Paid maternity and paternity leave

• 7 Days for Humanity in 2023 – paid volunteer days

• Generous holidays including the 4th of July week off – paid

• Extensive remote onboarding program and virtual employee engagement events

This specific role might not be for you, but maybe you have a friend who would be a perfect fit. Please forward this opportunity to anyone who wants to help Transform the Foundation of Commerce!

Icertis, Inc. provides Equal Employment Opportunity to all employees and applicants for employment without regard to race, color, religion, gender identity or expression, sex, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Icertis, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. If you are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to careers@icertis.com or get in touch with your recruiter.

By submitting your application you acknowledge that you have read Icertis’s Privacy Policy (https://www.icertis.com/privacy-statement/)

Icertis is not open to third party solicitation or resumes for our posted FTE positions. Resumes received from third party agencies that are unsolicited will be considered complimentary.


Staff Data Scientist Advertiser Platform Analytics

Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.
We are looking for a results-oriented and strategically minded Product Data Scientist to work with our Ads Platform product team on launching new products to improve the Advertiser experience creating & managing campaigns on Reddit . You will partner closely with cross functional team members such as Product Managers, Engineers, Designers, etc. in utilizing data to drive product strategy and unlock novel ways to improve the advertiser experience.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
If helping Reddit’s advertising business reach the next level excites you, then you’ve found the right place.  We’re a company with one of the highest employee : user ratios in the industry, giving you a tremendous opportunity for both scope & impact.
How You’ll Have Impact:

Partner with the product engineering team working on the Ads Platform. Providing thought partnership on products like the Reddit ads manager, advertiser API, & advertiser onboarding.
Collaborate with product teams on all aspects of development - everything from product ideation to experiment analysis to KPI reporting
Drive product-oriented research projects to identify new opportunities for the Ads Platform team to pursue
Organize data by designing table schemas, data pipelines, aggregations, alerts and general data infrastructure for the ads organization.
Be an integral part of the Data Org (consisting of Data Science, Data Engineering, Experimentation, and Core ML), leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts.

What You’ll Do:

Act as an owner by partnering with the Ads Platform team on product development
Become an expert on the advertiser experience at Reddit - designing & analyzing experiments to test improvements to our platform
Build KPI reporting & ETLs to track the performance of Reddit’s Ads Platform team
Learn how Advertisers interact with the Reddit platform and research how their experience could be improved
Collaborate with Product Marketing Managers to develop go to market strategies and drive product adoption
Partner with the Ads Engineering team to understand new data & schemas and ensure the data we log in new products is accurate

Who You Might Be:

5+ years of experience in data analytics or related quantitative role
Influence and guide product strategy with data
Able to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit
Strong ability to communicate and discuss complex topics with technical & non-technical audiences
Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)
Proficiency with dashboarding tools (e.g. Mode Analytics, Tableau, Looker)
Experience in online advertising & ads marketplaces

Benefits:

Comprehensive Health benefits
401k Matching
Workspace benefits for your home office
Personal & Professional development funds
Family Planning Support
Flexible Vacation & Reddit Global Days Off
4+ months paid Parental Leave
Paid Volunteer time off

Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base pay range for this position is: $198,200 - $297,300