Principal Data Scientist

Description
Principal Data Scientist
Take one of the most innovative educational technology brands to the next level by becoming part of our rapidly growing organization. We are seeking a highly qualified Principal Data Scientist with experience in building machine learning(ML) and deep learning models. The role requires a proven track record of professional excellence and a high willingness to be the driving force behind developing great software to serve our customers. The Principal Data Scientist will work on i-Ready Technology eam, responsible for analyzing data from multiple contexts and applying AI solutions to solve problem on AWS cloud infrastructure following Agile methodologies.
RESPONSIBILITIES
Lead the data science team in the development of advanced analytics solutionsWork with stakeholders to identify business problems that can be solved using data science techniquesDesign, develop, and implement data-driven solutions to solve complex business problemsLead the exploration of new data sources and techniques to enhance the quality and accuracy of the data used in analytics solutionsBuild and maintain predictive models to help drive business decisionsCommunicate results and insights to stakeholders in a clear and concise mannerCollaborate with cross-functional teams to ensure that data science solutions are integrated into business operationsContinuously monitor and evaluate the effectiveness of data science solutions and make recommendations for improvementsStay up to date with the latest data science techniques and technologies and share knowledge with the team
SKILLS AND QUALIFICATIONS
MS or above in Computer Science, Mathematics, Data Science or an equivalent degree10+ years’ experience in Data Science or Machine Learning, with a track record of developing and implementing data-driven solutionsExperience developing in Python to manipulate data and draw insights from large data setsExperience in querying databases using SQL, Python, etc.Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc) and their real-world advantages/drawbacksStrong programming skills and mastery of statistical and machine learning conceptsExperience with model selection techniques to identify models that align most closely with our business and product objectivesExperience applying advanced machine learning methodologies in a production settingExperience with Amazon cloud computing infrastructure (SageMaker, S3, EMR Lambda etc.)Experience working with the Agile/Scrum methodologyShould have strong verbal, written, and presentation communication skills
We’d also love to see:
Educational domain backgroundExperience with large volume data processing and big data tools such as Apache Spark
Benefits and Pay Range:
Pay Range – This role’s range is $126,750 - $233,750. The wage range for this role takes into account the wide range of factors that Curriculum Associates considers in making compensation decisions based on our Compensation Philosophy. Actual base pay within that range will vary based upon several factors including, but not limited to, prior experience and relevant skill sets. At Curriculum Associates, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances for each case. This role is also eligible to participate in the company bonus plan. The Company recognizes that minimum wage varies by location and will ensure all compensation decisions comply with applicable state and local laws.
Benefits – Benefit eligible employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees can enroll in our company’s 401k plan and receive an employer match. Employees have access to a flexible vacation and sick policy in addition to twelve paid holidays and a winter office closure between Christmas and New Year's, as well as a number of additional perks and benefits.


Statistical Analyst

Description
Statistical AnalystAt Curriculum Associates, we believe a diverse team leads to diversity in thinking, making our products better for teachers and students. If you read this job description, feel energized by what you see here, and believe you could bring passion and commitment to the role, but you aren’t sure you meet every qualification, please apply! Above all, we are looking for the right person!Curriculum Associates is seeking a talented Statistical Analyst with strong research skills to join our Efficacy and Implementation Research team. In this role you will focus on data wrangling, data cleaning, data manipulation, and data management and documentation. In addition, this role will conduct some statistical analyses for research and psychometric projects.  This position is largely quantitative and will require intermediate programming skills in SQL, as well as SAS and/or R, with large and complex datasets.
*Please include a cover letter that discusses your interest in CA and outlines how your previous experiences will set you up for success in this role.
This opportunity is right for you if:
You are fiercely committed to providing educators and decision makers at all levels of the education system -- national, state, district, and classroom –timely, accurate, meaningful research results to inform policy and practiceYou are deeply passionate about using the power of data analytics and research to help all students reach their potential – especially those students who have been prepared inequitablyYou enjoy the challenge of successfully wrangling large, complex data setsYou are energized when your work is due on a tight turn-around because it is needed to inform timely decisions that will help make classrooms better for students and teachersYou can, with support, conduct quantitative analyses and communicate the results clearly and succinctly to non-technical audiences
The impact you'll have:
You’ll use SQL to create datasets to be used for internal and external applied educational research and psychometric projects.Generate and maintain documentation of data variables and data sets via data dictionaries stored in central locations.Maintain and update code to query data and conduct analyses in a centralized location, such as a code repository or network drive.Conduct a range of basic data analysis and reporting projects, as well as assist with high level data analysis for applied education research and psychometric projects.Contribute to quality control processes to ensure accuracy of data sets and analyses for applied educational research and psychometric projects.
Who we’re looking for:
Bachelor’s degree (Master's preferred) in Mathematics, Information Systems, Data Analytics, Education, Social Sciences or related areas.1-3 years of experience in a similar role.Comfort when independently writing complex and efficient SQL queries and joining multiple tables within large relational databases.Experience working with SAS, R, or similar coding language for manipulating data and conducting statistical analyses.Curiosity and initiative to learn new technologies and skills, and to procure information using available resources.Excellent written and verbal communication skills, ideally with experience communicating complex technical topics to lay audiences.Proven ability to manage multiple complex projects while maintaining a high level of attention to detail.Ability to work in a self-directed way.Ability to use critical thinking skills to identify issues with data accuracy and data integrity.Ability to thrive in a fast-paced environment and adapt to changing priorities as needs shift or critical customer issues arise.
We’d also love to see, though not required:
Experience leveraging and manipulating large datasets to answer challenging questionsDemonstrated experience in a K-12 digital learning space including reading and/or mathematics
Location: Curriculum Associates is a socially responsible, rapidly growing educational company headquartered northwest of Boston, MA. This is a remote position which will work collaboratively with a team of other researchers, most of whom are also working remotely.
Benefits and Pay Range:
Pay Range – This role’s range is $60,750 - $99,750. The wage range for this role takes into account the wide range of factors that Curriculum Associates considers in making compensation decisions based on our Compensation Philosophy. Actual base pay within that range will vary based upon several factors including, but not limited to, prior experience and relevant skill sets. At Curriculum Associates, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances for each case. This role is also eligible to participate in the company bonus plan. The Company recognizes that minimum wage varies by location and will ensure all compensation decisions comply with applicable state and local laws.
Benefits – Benefit eligible employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees can enroll in our company’s 401k plan and receive an employer match. Employees have access to a flexible vacation and sick policy in addition to twelve paid holidays and a winter office closure between Christmas and New Year's, as well as a number of additional perks and benefits.


Senior Staff Data Scientist

Sr. Staff Data Scientist
at Mozilla Corporation
Team:
Data Organization
Locations:
Remote US
Hiring Ranges:
US Tier 1 Locations: $216,675 USD - $317,790 USD
US Tier 2 Locations: $199,425 USD - $292,490 USD
US Tier 3 Locations: $184,125 USD - $270,050 USD
To learn more about our Hiring Range System, please click this link.
Now more than ever, the Internet is a utility that facilitates modern life. At Mozilla, we take this to heart, striving to build products that keep the Internet open, accessible, and secure for everyone. We need your help to enable the future of Mozilla in a way that makes us proud!
As a Sr. Staff Data Scientist in the Data Organization, you’ll be taking a lead role in a cross-functional team that is responsible for understanding and empowering the future of Mozilla.
The Role
The Data Science team sits at the intersection of product, marketing, engineering, finance, business, and leadership. We collaborate closely with these partners to create impactful data products. As a leader on this team, you will serve as a data expert who can represent the function of data science broadly across Mozilla, while helping the team advance its practice.
As a Sr. Staff Data Scientist at Mozilla you will:
Drive the vision and execution of work, often to address ambiguous issues, that creates impact across organizations.
Generate data-informed insights and communicate these narratives with data to a range of technical and non-technical colleagues to influence decision making and uplevel data fluency across Mozilla
Apply a variety of statistical methods including causal inference to understand the intricate ecosystem of our users, products, partners, revenue against our large scale data to understand ecosystems, user behaviors, and long-term trends. Define, forecast, evaluate and report on key business metrics.
Build key data sets to empower operational and exploratory analysis.
Advocate for standard methodologies across the organization.
Design and implement instrumentation and data models to improve product and business visibility.
Your Professional Profile
You lead with empathy. You value teamwork and teammates. You are invested in knowledge sharing and learning from others. You contribute positively and meaningfully to cultivate an inclusive and equitable team culture. You consider contributing to a collaborative and open team culture an important responsibility.
You have a background in quantitative analysis knowing how to analyze, visualize, and interpret data and have 4+ years of experience applying these skills in an industry setting. You have used forecasting or other predictive methods on large scale data. Working on machine learning in production is a plus.
You have experience with extracting data from a variety of sources using SQL or SQL-like tools as well as scripting languages such as Python or R.
You take stakeholder needs into account, bridging methodology and data into meaningful strategy from your analyses. You are a communicator who crafts impactful data narratives that inform company decisions around product, business, and finance.
You have a passion for a healthy web and the well-being of its users. You are conversant about the challenges and opportunities that exist where Mozilla has impact.
About Mozilla
Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.
Commitment to diversity, equity, inclusion, and belonging
Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission.  We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities and expressions.
We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccomodation@mozilla.com to request accommodation.
We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws.  Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.
Group: C
#LI-REMOTE
Req ID: R2127


Sr Data Scientist I

Position Summary:
The Sr. Data Scientist I designs, develops, tests, deploys, maintains, and improves comprehensive data science solutions. They deliver individual projects based upon deadlines and required deliverables. The Sr. Data Scientist builds complex models independently and collaborates with other teams to conduct model reviews. They develop and/or provide technical leadership in the development of machine learning models involving the application of new methods with significant technical risk. The Sr. Scientist prepares detailed plans, which may span over a year for complex projects. They determine model philosophy, goals, and objectives, and participate in the formation of project goals, scope, and schedule.
Essential Responsibilities:

Develops comprehensive data science solutions
Architects and builds machine learning infrastructure, deployment, and monitoring
Mentors junior and mid-level Data Scientists
Includes testing in all aspects of the development process
Participates in project planning and architecture discussions
Leads the adoption of new data science techniques and technologies
Works with stakeholders to determine the desired feature set and develop stable and scalable solutions
Creates descriptive reports and visualizations detailing the performance of advanced analytics projects
Analyzes potential problems and finds solutions to pressing data issues
Participates in on-call rotation

Ideal Skills, Experience, and Competencies:

At least four (4) years of relevant data science experience
Advanced experience with the Python data science stack (pandas, scikit-learn, keras, etc.)
Expert experience with SQL
Intermediate experience with Apache Spark or other distributed processing engines
Advanced experience with supervised and unsupervised machine learning models
Advanced experience with statistical methods
Effective problem solving and troubleshooting abilities
Ability to consistently achieve results, even under tough circumstances
Effective technical leadership abilities
Excellent verbal and written communication skills
Experience with innovative application design and implementation
Ability to make sense of complex, high quantity, and sometimes contradictory information to effectively solve problems

Required Education & Certifications:

M.S./M.A. degree in a technical field; or equivalent work experience
Ph.D. degree in a technical field preferred

Compensation:

Qualified candidates can expect a salary beginning at $140,000 or more depending on experience

#LI-Remote #LI-JF1 #dice-J


Data Scientist Ii

Position Summary:
The Data Scientist II develops comprehensive data science solutions, including data extraction, preprocessing, machine learning, and interoperability with other Pax8 products. They mentor junior level Scientists and collaborate with other functional groups to conduct model reviews.
Essential Responsibilities:

Develops comprehensive data science solutions
Develops machine learning infrastructure, deployment, and monitoring
Mentors junior level Data Scientists
Includes testing in all aspects of the development process
Creates descriptive reports and visualizations detailing the performance of advanced analytics projects
Analyzes potential problems and finds solutions to pressing data issues
Participates in on-call rotation

Ideal Skills, Experience, and Competencies:

At least two (2) to six (6) years of relevant data science experience
Intermediate experience with the Python data science stack (pandas, scikit-learn, keras, etc.)
Advanced experience with SQL
Moderate experience with Apache Spark or other distributed processing engines
Intermediate experience with supervised and unsupervised machine learning models
Intermediate experience with statistical methods
Effective problem solving and troubleshooting abilities
Ability to consistently achieve results, even under tough circumstances

Required Education & Certifications:

B.A./B.S. in related field or equivalent work experience
M.S./M.A. in related field or equivalent work experience preferred

Compensation:

Qualified candidates can expect a salary beginning at $125,000 or more depending on experience

#LI-Remote #LI-JF1 #Dice-J


Data Scientist Product Marketing

About You.com

You.com is the world's first open search engine platform that summarizes the web for users, with no ads, superior privacy choices, and personalization through preferred sources.

You.com is more than just a new search engine — it's a movement to make the internet a place of trust, facts, and kindness — our guiding principles that we're committing to from day one.

It's an audacious goal, but we're ambitious people. We're looking for a few more ambitious folks to join our team.
We’re not just wide-eyed dreamers – we’re pragmatic doers, too. Our founder and CEO, Richard Socher previously started an AI company called MetaMind. Salesforce acquired the company, and Richard became Chief Scientist, leading the company’s AI efforts. Prior to MetaMind, Richard received the best Ph.D. thesis award from Stanford for his groundbreaking work on deep learning. Bryan McCann, co-founder and CTO, is a scientist and philosopher who led natural language processing teams at Salesforce after completing his Master's in C.S. at Stanford. Our founding team members have built companies worth hundreds of millions of dollars and scaled software to serve millions of users. For fun, we run marathons, paramotor, write poetry, read Latin, hike, and camp in the middle of nowhere.
If this sounds intriguing, say hello!

About the Job

We are hiring a world-class data scientist to help us understand our marketing funnels and how our users interact with our product.

You will work closely with our product and marketing teams to derive actionable insights from user data, and help us make data-driven decisions on our product roadmap. To succeed at this job you need to have data science experience as well as an understanding of user behavior and customer development.

You have:

3+ years of experience in analyzing and interpreting data using statistical techniques and tools.
Proficiency in SQL and experience with data analysis tools such as as Databricks & Scuba.
2+ years of experience with web analytics and tracking tools, such as Google Analytics, Snowplow or other customer data platforms.
Experience with A/B testing methodologies and experimentation frameworks.
Strong communication skills and ability to present complex data findings in a clear and concise manner.

You will:

Analyze and interpret user behavior data to identify actionable insights that can inform product and marketing decisions.
Collaborate with cross-functional teams to design and execute A/B tests.
Communicate complex data findings to stakeholders in a clear and concise manner.

#LI-REMOTE

More about You.com

You.com is an equal opportunity employer: your race, color, religion, sex, sexual orientation, gender identity, national origin, or disability status don’t matter. We’re committed to building a diverse, inclusive, and supportive workplace that is effectively distributed around the world.

We're a remote-first company, but work hours are generally within the Pacific Timezone (7 hours behind UTC). We get together in-person regularly as a team, but as long as your able to maintain significant overlap with Pacific hours during the workday we're comfortable hiring in almost any location (location-specific legal requirements permitting).

Benefits
• Competitive salary and equity
• Great health, dental, and vision insurance for you and your family
• 401(k) plan
• Unlimited time off (4+ weeks encouraged annually)
• Generous parental leave
• Flexible work hours


Senior Data Scientist

Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.

We’re looking for an exceptional Data Scientist to join our real-time bidder team, one of the most exciting and important products within Chartboost. This role will be focused on ad ranking, which ensures that our DSP is bidding on the most promising inventory for  our advertisers. The system powering this product must deal with 100,000’s of requests per second and presents unique data science challenges. The bidder uses a variety of batch and real-time signals to power decision making in real-time.
Impact you will make:

Apply, develop, optimize, and benchmark ML approaches to push our AI-driven product forward

Conduct large scale A/B testing and offline/online experiments to evaluate performance of machine learning models
Analyze millions of structured and unstructured data points and identify meaningful signals to improve model performance
Collaborate closely with Product, Data, and Engineering teams to build new features and enhance model infrastructure

Who you are:

BS degree in Statistics, Math, Machine Learning or Computer Science
5+ years of practical experience in data science or machine learning roles
Experience with recommendation systems or ML for ranking and relevance
Exposure to different machine learning and modeling techniques, including deep learning and traditional modeling techniques
Experience using SQL and distributed frameworks such as Spark for exploratory data analysis and data transformation

The following experience would be a plus:

Hands on with deep learning in production pipelines
Ad tech and/or mobile space

Perks:

Competitive salary with bonuses
Flexible schedule based on core hours and the possibility of working remotely.
Private health insurance
Life insurance
Optical complement for glasses or contact lenses.
Company sponsored lunch
English/Spanish lessons and/or other investments in your professional development
Gym membership
Transportation reimbursement
Healthy snacks, and coffee in our cool office in the center of Barcelona
23 days of paid time off per year
15 paid holidays per year
Team building events

More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind.  Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.


Data Science Manager

Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.

We’re looking for an exceptional Manager of Data Science to join a team focused on the development of pricing and ranking Machine Learning models that power our real-time bidder, one of the most exciting and important products within Chartboost. These models help predict the propensity for a user to spend money within a mobile game, one of the key KPIs our advertising partners measure for the success of their User Acquisition strategies. The system powering this product must deal with 100,000’s of requests per second and presents unique engineering challenges.
Impact you will make:

Build and manage a team of Data Scientists responsible for pricing and ranking models
Mentor team members and help guide them in their career development
Design and test predictive models at large scale that control real money
Find new and creative ways to utilize the massive piles of data we have using both supervised and unsupervised methods
Generate insightful and actionable information driving ranking and revenue performance by using rigorous scientific and statistical methods
Train and tune learning models offline, provide clear guidelines for A/B testing and production launch
Analyze millions of structured and unstructured data points and identify meaningful features/signals to improve model performance
Collaborate closely with Product, Data, and Engineering teams to build new features and infrastructure
Define, advocate, and maintain high standards for data quality
Develop best practices for data processing, experimentation, monitoring, debugging, and analyzing data pipelines

Who you are:

BS degree in Statistics, Math, Machine Learning or Computer Science
3 to 5 years of practical experience in a Data Science or Machine Learning role
2+ years of experience managing a Data Science team
Diverse exposure to many different Machine Learning and modeling techniques such as NLP or deep networks as well as traditional modeling techniques
Ability to make progress independently: you know enough SQL to pull your own data and have mastered a programming language enough to assist you in analysis
You have a sound understanding of Data Science and Machine Learning principles

The following experience would be a plus:

Ad tech and/or mobile games space

Perks:

Comprehensive medical, dental and vision insurance
Restricted Stock Units (RSUs) - you will have the potential of RSUs depending on the level/role
401(k) plan with match through Fidelity
Catered lunches and fully stocked kitchens
Commuter Program
Flex Vacation – personal time to refresh your mind/body/soul, spend time with loved ones and celebrate life events. There is no accrual or specific limit to the amount of time an employee may use

More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind.  Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
California Residents, please review the Chartboost California Employment Candidate Privacy Notice before submitting any personal information.

This is a fully remote role that may be based anywhere in the United States. The pay range for this position in California at the start of employment is expected to be between $145,000 and $270,000 per year.  For applicants based in Colorado at the start of employment is expected to be between $95,000 and $222,000 per year. For applicants based in New York City and New Jersey at the start of employment is expected to be between $140,000 and $255,000 per year.
However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
The pay range for this position for applicants based in Washington at the start of employment is expected to be between $130,000 and $237,000 per year.  However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations.   Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan, in addition to a full range of medical, dental, vision, and basic life insurance. Employees will also receive 13 paid holidays per calendar year, unlimited discretionary time off, and will receive 10 sick days per calendar year.  Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.


Data Science Intern

Introduction:

Civitech is a public benefit corporation dedicated to creating a fairer and more equitable democracy by building the tools and infrastructure needed to increase civic participation, empower Democratic candidates to win, and support the success of progressive causes.Since its founding in 2019, almost 400 partners -- a range of nonprofit organizations, national political committees, and individual campaigns -- have utilized Civitech’s tools to reach tens of millions of voters to help create a more equitable and progressive democracy.

The Data Science Intern will work closely with the Data Science team to deliver data products and analysis to our clients.

It is important that our team reflects the diversity of the organizations we seek to serve. We strongly encourage women, people of color, LGBTQ people, and others otherwise underrepresented in the technology sector to apply.

Applications received by April 24 will be given priority, and applications close April 28.

What You Will Do:

Learn about the data ecosystem around political campaigns in general and Civitech’s products specifically
Write SQL queries to build status reports for our voter outreach programs
Troubleshoot bug reports relating to our data products
Collaborate with Civitech’s team of data scientists/analysts/engineers every day
Build machine learning models to predict voter actions.

About You:

Familiar with SQL and one or more programming languages for analysis e.g. python or R
Enjoys diving into the details of technical/data problems and communicating out the process and results of investigations
Committed to leveraging technology and data products to help Democratic candidates run for office and win, empower progressive causes, and increase civic participation

About Civitech's Summer Internship Program:

This is a paid internship program, and interns will be compensated $17/hour for 20-30 hours of work per week spread over 3 days.
This program lasts 10 weeks, beginning June 5, 2023 and completing August 11, 2023. However, we are flexible and can adjust start and end dates to work with our intern’s academic calendar.
This program is for any college student. We encourage students from any 2 or 4 year college or university in the United States to apply—school credit is not required. This program is also for individuals early on in their careers who are not currently pursuing a degree.
Civitech is a remote company with a small office in Austin, Texas. Interns can work remotely or out of our Austin office.
You will do real work that will contribute to our mission to increase civic participation, empower Democratic candidates to win, and support the success of progressive causes.
You will work closely with your manager and staff in your department, and also have the opportunity to meet interns and staff in other departments.

In lieu of a cover letter, please answer the four questions listed in the application.

Civitech is not able to provide visa sponsorship at this time.

Civitech provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws.

No recruiters or agencies, please!


Arity Data Scientist Expert Ml Researcher

Founded by The Allstate Corporation in 2016, Arity is a data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer and more useful for everyone.
At the heart of that mission are the people that work here—the dreamers, doers and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real problems and put your talents towards transforming transportation.
That’s because at Arity, we believe work and life shouldn’t be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We don’t just want you to see yourself here. We want you to be yourself here.
The Role:
We are seeking a highly motivated and experienced Data Scientist - Expert ML Researcher to work across Arity and tackle our toughest technical challenges to lay the foundation for future success in coming years. As a member of the Core Telematics Data Science team, you will enjoy the strong partnership and collaboration of other data scientists and experts who are as passionate about shaping the future of mobility data science as you are. You will shape the research roadmap by finding the most impactful projects and help establish our research strategy for how we engage internal teams as well as external partners. Your experience in multiple companies and domains will lend itself to helping our teams improve their technical capabilities. You will consult on DS/ML architecture and patterns to help teams avoid common pitfalls in data science projects. As an expert technical data scientist within Arity, you will advocate for the needs of data science broadly, lead the entire data scientist discipline by example, and coach and mentor across the team.
Responsibilities:
Make deep technical contributions to the Core Telematics Data Science team by building models, pipelines, or prototypes and reviewing the contributions of others
Key contributor to the vision, strategy and roadmap of the Core Telematics Data Science team using your technical expertise and domain knowledge
Encourage risk taking and innovation while keeping an eye towards business value
Help Arity continue to improve data science and ML practices across the team, and consult across product teams on DS/ML architecture, patterns and best practices
Bring in external viewpoints on how best to do telematics data science via scientific literature, conferences, speakers, and contacts across industries
Contribute to the broader data science community via technical blogs, white papers and speaking events. Help shape Arity’s approach to creating a strong external presence
Help support our culture of intellectual honesty and openness, passion for what we do, hard work, and personal growth.
Build the Arity technical brand by engaging in conferences, meetups, blogs, and other external public engagements
Support recruiting by leading efforts to build relationships in the industry, attend career fairs and create strong interviewing pipelines

Qualifications:
Advanced degree in Geospatial Science, Mathematics, Statistics, Physics, Computer Science, or Engineering, or related quantitative field preferred
Deep subject matter expertise in data science gained from academic studies and/or significant experience as a top echelon data scientist or researcher at multiple companies
Strong technical capability to build models, pipelines, prototypes, visualizations and analyses using standard data science tool sets, e.g. Python, R, Spark, C
Broad knowledge of the landscape of statistical and machine learning techniques (both traditional and deep learning). Proven ability to find the right approach and manage trade-off’s
Strong research capabilities to synthesize the literature and other sources of new ideas, identify potential new avenues of development, and communicate their value to our business
Passion for technical mentorship across the larger team, and ability to manage a few highly self-sufficient technical contributors
Solid communication skills to drive adoption of your innovations and better understand the company and its strategy
Knowledge in sensors, telematics, insurance, geospatial, data science on the edge, or other domains specifically relevant to our work is a big plus, but not required
Ability to envision and articulate radical change through highly innovative thought leadership
Comfortable in a fast-paced environment with high ambiguity; inspires others to embrace this
Competitive with themselves while being humble

Notes:
The preceding description is not designed to be a complete list of all duties and responsibilities. May be required to perform other related duties as assigned. Regular, predictable attendance is an essential function of this job.
Compensation offered for this role is $154,400.00-$210,350.00 per year and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
That’s the day-to-day, now let’s talk about the rest of it. As we mentioned, Arity was founded by The Allstate Corporation. But you’ll be working for—and at—Arity. It’s the best of both worlds. You’ll get access to the full suite of Allstate benefits and work in a fast-paced startup culture. That’s more than just free breakfasts and brain breaks. It’s a culture that encourages you to be you.
Sound like a fit? Apply now! We can’t wait to meet you.
Arity.com Instagram Twitter LinkedIn
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

For jobs in San Francisco, please click "here" for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click "here" for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment


Arity Data Science Manager Advertising Technology

Founded by The Allstate Corporation in 2016, Arity is a data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer and more useful for everyone.
At the heart of that mission are the people that work here—the dreamers, doers and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real problems and put your talents towards transforming transportation.
That’s because at Arity, we believe work and life shouldn’t be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We don’t just want you to see yourself here. We want you to be yourself here.
The Role:
The Advertising Data Science team seeks new ways to use mobile data to target audiences based on Arity insights. These insights are derived from driving data, location tracking, and other consumer profile data collected from our mobile partners. Our products allow advertisers to access telematics risk scores and mobility patterns to plan and target their efforts to reach consumers on both public platforms and Arity’s private marketplace. As an Analytics Manager on the Advertising Data Science team, you will be responsible for leading and inspiring a world-class group of data scientists, data engineers and business analytics consultants to develop and deliver our advertising products on both platforms. Some projects include
Expand and create varieties of audiences in scale based on location data such as risk, mileage, commute
Measure marketing effectiveness via location data and develop attribution models
Design the framework and implement the analytical solution for real-time bidding on Arity Advertising Platform
You are expected to influence the product strategy from a strong analytics lens. You will also help us recruit and lead top talent and have a key voice in the analytics operations at Arity.
Responsibilities:
Your day-to-day looks like:
Be a servant leader for technical contributors in Analytics roles engaged with cross-functional product development teams through coaching and mentoring
Develop strategic analytics visions based on the product needs
Translate strategic vision into priorities and tangible tracks of backlogs using data science expertise
Provide technical direction to the team to ensure timeliness and quality of deliverables
Work with engineering team to productionize our insights in an efficient way
Get your hands dirty, dive into the data, and run analysis or build models whenever needed
Drive continuous improvement of data science, data engineering practices to create world-class capabilities
Support sales and customer success efforts by demonstrating Arity analytics maturity coupled with humility and empathy
Build the Arity brand by engaging in conferences, meetups, blogs and other external public engagements
Drive recruiting by leading efforts to build relationships in the industry, attend career fairs and create strong interviewing pipelines
Required Qualifications:
Bachelor’s degree in Data Science, Geospatial Science, Mathematics, Statistics, Physics, Computer Science, Engineering, or in a related field. A Master’s degree is preferred.
At least 5 years of industrial experience in marketing data analytics with solid knowledge on digital and programmatic marketing and common KPIs such as CPC, CPM
Working knowledge on marketing analytics, geospatial analysis, business intelligence, data engineering, machine learning, or other analytics experience in a business context, as well as hands-on experience using various tools such as Python, Spark, Tableau, etc.
Experience working in cloud-first environments, particularly AWS, EMR studio, Glue, Sagemaker
Experience of managing technical teams including data scientists, data engineers, and data analysts
Experience of leading end-to-end data science projects to generate measurable business values
Preferred Qualifications:
Demonstrated ability to deliver results on cross-functional projects in marketing campaigns with measurements
Highly innovative thought leaders who envision and articulate radical change
Inspires/mentors/coaches people to be bold and do the best work of their careers
Proven champions of agile product development practices and respected by peers for their technical prowess
Great interpersonal communicators / collaborators with both technical and non-technical team members
Compensation offered for this role is $130,400.00-$179,675.00 per year and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
That’s the day-to-day, now let’s talk about the rest of it. As we mentioned, Arity was founded by The Allstate Corporation. But you’ll be working for—and at—Arity. It’s the best of both worlds. You’ll get access to the full suite of Allstate benefits and work in a fast-paced startup culture. That’s more than just free breakfasts and brain breaks. It’s a culture that encourages you to be you.
Sound like a fit? Apply now! We can’t wait to meet you.
Arity.com Instagram Twitter LinkedIn
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

For jobs in San Francisco, please click "here" for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click "here" for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment


Senior Data Scientist

Sporty's sites are some of the most popular on the internet, consistently staying in Alexa's list of top websites for the countries they operate in

As a Data Scientist at Sporty, you will play a vital role in developing innovative data science solutions and machine learning models to drive business impact. Working closely with our Trading, Product, and Tech teams, you will leverage your expertise to tackle a wide range of business challenges, translating them into supervised and/or unsupervised learning problems.

Who We Are

Sporty Group is a consumer internet and technology business with an unrivalled sports media, gaming, social and fintech platform which serves millions of daily active users across the globe via technology and operations hubs across more than 10 countries and 3 continents.
The recipe for our success is to discover intelligent and energetic people, who are passionate about our products and serving our users, and attract and retain them with a dynamic and flexible work life which empowers them to create value and rewards them generously based upon their contribution.
We have already built a capable and proven team of 300+ high achievers from a diverse set of backgrounds  and we are looking for more talented individuals to drive further growth and contribute to the innovation, creativity and hard work that currently serves our users further via their grit and innovation.

Responsibilities

Create data science solutions to address a variety of business challenges that can be translated to supervised and/ or unsupervised learning problems using statistical and machine learning models
Participate in monitoring and evaluation of performance of existing models
Develop advanced quantitative models and concepts, such as LTV models, churn models, and recommendation engines
Collaborate with global teams of developers, traders and product developers to better understand business requirements and deliver end product to the clients
Implement and test the researched fixed income models using the risk research data
Liabilities and probabilities calculations
Knowledge sharing and methodological supervision of more junior team members

Requirements

Ability to come up with sound research designs and make methodological choices to address business problems with appropriate statistical and machine learning models
Ability to critically evaluate and find flaws in existing data science solutions
4+ years of experience as a data scientist, quantitative researcher, quantitative analyst or another relevant role.
Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology or Engineering
Strong knowledge of probability theory, inferential statistics, machine learning, Bayesian statistics, linear algebra, and numerical methods
Experience with statistical and machine learning models, such as regression-based models (e.g., logistic regression, linear regression, negative binomial regression), tree-based models (e.g., random forests), support vector machines, PCA, clustering models, matrix factorization, deep learning, etc
Experience using statistical and machine learning models to contribute to company growth efforts, impacting revenue and other key business outcomes
Advanced understanding of Python and the machine learning ecosystem in Python (Numpy, Pandas, Scikit-learn, LightGBM, PyTorch, SHAP)
Knowledge of SQL and experience with relational databases
Agile, action-oriented

Nice to have

PhD or Master’s degree in applied mathematics, Computer Science, Financial Engineering, Technology or Engineering
Apache Spark
Experience working in cloud platforms (AWS, GCP, Microsoft Azure)
Relevant knowledge or experience in the gaming industry

Benefits

Quarterly and flash bonuses
Flexible working hours
Education allowance
Referral bonuses
28 days paid annual leave
2 x annual company retreats (Lisbon + Dubai in 2022 / Phuket in Q2 2023 + 1 more TBC!)
Highly talented, dependable co-workers in a global, multicultural organisation
Payment via world class online wallet system DEEL
Top of the line equipment supplied by market leader Hofy
We score 100% on The Joel Test
Our teams are small enough for you to be impactful
Our business is globally established and successful, offering stability and security to our Team Members

Our Mission

Our mission is to be an everyday entertainment platform for everyone

Our Operating Principles

1. Create Value for Users
2. Act in the Long-Term Interests of Sporty
3. Focus on Product Improvements & Innovation
4. Be Responsible
5. Preserve Integrity & Honesty
6. Respect Confidentiality & Privacy
7. Ensure Stability, Security & Scalability
8. Work Hard with Passion & Pride

Interview Process

HackerRank Test
Remote video screening with our Talent Acquisition Team + live ID check
Remote 90 min video interview loop with 3 x Team Members (30 mins each)
Pre offer call with Talent Acquisition Team
ID check via Zinc
24-72 hour feedback loops throughout process

Working at Sporty

The top-down mentality at Sporty is high performance based, meaning we trust you to do your job with an emphasis on support to help you achieve, grow and de-block any issues when they're in your way.
Generally employees can choose their own hours, as long as they are collaborating and doing stand-ups etc. The emphasis is really on results.

As we are a highly structured and established company we are able to offer the security and support of a global business with the allure of a startup environment. Sporty is independently managed and financed, meaning we don’t have arbitrary shareholder or VC targets to cater to.

We literally build, spend and make decisions based on the ethos of building THE best platform of its kind. We are truly a tech company to the core and take excellent care of our Team Members.


Data Scientist

Sporty's sites are some of the most popular on the internet, consistently staying in Alexa's list of top websites for the countries they operate in

As a Data Scientist at Sporty, you will play a vital role in developing innovative data science solutions and machine learning models to drive business impact. Working closely with our Trading, Product, and Tech teams, you will leverage your expertise to tackle a wide range of business challenges, translating them into supervised and/or unsupervised learning problems.

Who We Are

Sporty Group is a consumer internet and technology business with an unrivalled sports media, gaming, social and fintech platform which serves millions of daily active users across the globe via technology and operations hubs across more than 10 countries and 3 continents.
The recipe for our success is to discover intelligent and energetic people, who are passionate about our products and serving our users, and attract and retain them with a dynamic and flexible work life which empowers them to create value and rewards them generously based upon their contribution.
We have already built a capable and proven team of 300+ high achievers from a diverse set of backgrounds  and we are looking for more talented individuals to drive further growth and contribute to the innovation, creativity and hard work that currently serves our users further via their grit and innovation.

Responsibilities

Create data science solutions to address a variety of business challenges that can be translated to supervised and/ or unsupervised learning problems using statistical and machine learning models.
Participate in monitoring and evaluation of performance of existing models.
Develop advanced quantitative models and concepts, such as LTV models, churn models, and recommendation engines.
Collaborate with global teams of developers, traders and product developers to better understand business requirements and deliver end product to the clients.
Implement and test the researched fixed income models using the risk research data.
Liabilities and probabilities calculations.

Requirements

Ability to come up with sound research designs and make methodological choices to address business problems with appropriate statistical and machine learning models.
2+ years of experience as a data scientist, quantitative researcher, quantitative analyst or another relevant role.
Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology or Engineering.
Knowledge of probability theory, inferential statistics, machine learning, Bayesian statistics, linear algebra, and numerical methods.
Experience with statistical and machine learning models, such as regression-based models (e.g., logistic regression, linear regression, negative binomial regression), tree-based models (e.g., random forests), support vector machines, PCA, clustering models, matrix factorization, deep learning, etc.
Experience using statistical and machine learning models to contribute to company growth efforts, impacting revenue and other key business outcomes.
Advanced understanding of Python and the machine learning ecosystem in Python (Numpy, Pandas, Scikit-learn, LightGBM, PyTorch).
Knowledge of SQL and experience with relational databases.
Agile, action-oriented.

Nice to have

Nice to have
Apache Spark.
Experience working in cloud platforms (AWS, GCP, Microsoft Azure).
Relevant knowledge or experience in the gaming industry

Benefits

Quarterly and flash bonuses
Flexible working hours
Education allowance
Referral bonuses
28 days paid annual leave
2 x annual company retreats (Lisbon + Dubai in 2022 / Phuket in Q2 2023 + 1 more TBC!)
Highly talented, dependable co-workers in a global, multicultural organisation
Payment via world class online wallet system DEEL
Top of the line equipment supplied by market leader Hofy
We score 100% on The Joel Test
Our teams are small enough for you to be impactful
Our business is globally established and successful, offering stability and security to our Team Members

Our Mission

Our mission is to be an everyday entertainment platform for everyone

Our Operating Principles

1. Create Value for Users
2. Act in the Long-Term Interests of Sporty
3. Focus on Product Improvements & Innovation
4. Be Responsible
5. Preserve Integrity & Honesty
6. Respect Confidentiality & Privacy
7. Ensure Stability, Security & Scalability
8. Work Hard with Passion & Pride

Interview Process

HackerRank Test
Remote video screening with our Talent Acquisition Team + live ID check
Remote 90 min video interview loop with 3 x Team Members (30 mins each)
Pre offer call with Talent Acquisition Team
ID check via Zinc
24-72 hour feedback loops throughout process

Working at Sporty

The top-down mentality at Sporty is high performance based, meaning we trust you to do your job with an emphasis on support to help you achieve, grow and de-block any issues when they're in your way.
Generally employees can choose their own hours, as long as they are collaborating and doing stand-ups etc. The emphasis is really on results.

As we are a highly structured and established company we are able to offer the security and support of a global business with the allure of a startup environment. Sporty is independently managed and financed, meaning we don’t have arbitrary shareholder or VC targets to cater to.

We literally build, spend and make decisions based on the ethos of building THE best platform of its kind. We are truly a tech company to the core and take excellent care of our Team Members.


Data Scientist Canada

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.  Our consultants bring deep expertise in Data Science, Machine Learning and AI.  We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.   As a Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. Effectively communicate the analytics approach and how it will meet and address objectives to business partners.  Advocate and educate on the value of data-driven decision making; focus on the “how and why” of solutioning. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts and developers. Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products. Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources. Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards. Collaborate, coach, and learn with a growing team of experienced Data Scientists.  Stay connected with external sources of ideas through conferences and community engagements.  Bachelors Degree in Data Science, Computer Science, or related field 5+ years of Data Science and Machine Learning experience required Proficiency with Data Science concepts and modeling techniques to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets Ability to implement ML best practices for the entire Data Science lifecycle Ability to apply various analytical models to business use cases (NLP, Supervised, Un-Supervised, Neural Nets, etc.) Exceptional communication and collaboration skills to understand business partner needs and deliver solutions Bias for action, with the ability to deliver outstanding results through task prioritization and time management Experience with data visualization tools — Tableau, R Shiny, etc. preferred Data Analtics background is preferred This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.


Senior Data Scientist

The Role
We are seeking a full stack Senior Data Scientist who will help shape business strategy and product development decisions through data-driven insights. This is an exciting role for someone to make a direct impact on new product strategy and revenue of SoFi, supporting our partnerships business unit, SoFi Protect-At Work-Lantern. Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen: you know how to plow through data with SQL/Python/R/Tableau, surface insights using math/statistics/ML techniques, and measure the business impact using efficiency/conversion/profit metrics. You treat stakeholders as a partnership – you are there at each step of the way and you know that we only succeed if we succeed together.
What you’ll do:

Work with amazing product and business managers to identify strategic opportunities, measure KPIs to craft compelling stories, make data-driven recommendations, and drive informed actions.
Craft, analyze, and present customer behavior metrics, such as funnel conversion, user churn, features engagement, product LTV, and cross-sell metrics. Work with product and marketing partners to design tests to improve these metrics.
Own end-to-end product analytics workflow including formulating success metrics, socializing them across the organization, and creating dashboards/reports.
Act as a curator of data by defining, instrumenting, and tracking necessary analytics of our products by working cross functionally with engineering and product teams.
Build self-service systems to enable others in the organization to leverage your work.
Analyze and perform statistical analysis on data that underlies product experiments.
Build models to help decision makers understand customer behaviors and segmentation
Run significance tests and continuously discover trends in customer behavior to inform decision making with a high level of confidence
You stay focused on what’s best for the company – sometimes that requires being flexible, other times it requires being steadfast.

What you’ll need:

Bachelor’s degree required (Masters preferred) in Computer Science, Math, Physics, Engineering or quantitative field.
3+ years of relevant work experience
Intellectual curiosity and aptitude to pick up new technical skills
Exceptional problem-solving skills
Ability to initiate and drive projects to completion with minimal guidance
High EQ with ability to influence outcomes and communicate technical content to general audiences
Strong programming skills in SQL, Python and proficiency in Tableau
Experience with experimentation and hypothesis testing
Ability to work in a dynamic, cross-functional environment, with strong attention to detail
Strong relationship building and collaborative skills
Experience with using Airflow/DBT to build Data Pipelines in Snowflake


Senior Data Scientist

about the senior data scientist role:soona is looking for a data scientist to join our machine learning and recommendations team as we continue to build a world-class data organization. you will be responsible for creating and maintaining image-based content recommendation models and working with machine learning engineers to develop the services that provide real-time inference. to be successful in this role, you will bring your expertise in building recommender systems to establish a new product offering at soona. as such, you will lead the technical execution for our content recommendation offerings and work cross-functionally with our product and engineering teams to turn our recommendations into customer-facing products.this is a full time position that will report directly to the senior director of data science.about soona:soona makes it possible for brands to create professional photo and video starting at $39. our studios give customers a playground for creating their content and our online platform makes it possible for any product company in the world to experience a remote shoot. we are creating a fast casual content revolution!soona is currently supporting a US remote work environment for this role with opportunity for a flex hybrid work environment within our operating cities--Denver and Minneapolis, if that’s your thing.about tech at soona:at soona, we’re focused on building a world-class engineering and data organization. we’re developing a highly-scalable platform for real-time customer engagement with our studio creatives and technology that optimizes the content they create. our typical engineering and data projects blend SaaS with e-commerce, providing opportunities to work on everything from app engineering and cloud/server architecture to computer vision and logistics/routing optimization. our tech stack consists primarily of ruby on rails, javascript vue, and python. we pride ourselves on our culture of innovation, community engagement, technical mentorship, and caring for the individual.our hiring philosophy:at soona, we look for representation across all intersectionalities of identities, specifically within underrepresented groups. it is these differences that push us towards innovation, curiosity, and success in our business. we believe in providing equal employment opportunities without regard to race, color, religion, age, sex, national origin, disability status, protected veteran status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by laws or regulations in the locations we operate.  this means that timelines of processes may be impacted, depending on our applicant pools.an ideal candidate can: design, train, and evaluate machine learning models for recommendation engines  evaluate content performance for our customers to optimize images and styling classify users via behavior analysis, segmentation, and user profiling techniques run experiments and a/b testing to evaluate performance of recommender systems process data through our data pipelines for feature engineering create internal apps that serve up model outputs and predictions in real-time deliver quality code in an agile framework that ships to a production environment correlate work to business KPIs and be accountable for improvement targets communicate with data and engineering teams as well as business stakeholders has experience in:  effectively communicating and coding in a remote work environment  content-based and collaborative filtering for recommendation models a/b testing, experimentation, and performance evaluations of recommender systems leveraging data science libraries like scikit-learn and pytorch (or similar) python – the core language of the data organization sql – optimizing performance/transformation efficiencies on OLAP data warehouses dbt – our primary data transformation layer aws or equivalent cloud environment computer vision modeling and image processing (preferred) deploying machine learning models into production services (preferred) looker, segment, airbyte, docker, flask/fastAPI (preferred) working in a startup environment (preferred)  we can offer: starting salary: $150,000 - $170,000  stock options in a booming startup benefits & perks + unlimited pto + intentional culture really badass headshots


Staff Data Scientist Ad Formats Optimization Analytics

Location: US remote friendly
Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly and will continue to be after the pandemic.
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 Formats & Optimization product team on launching new products to improve the Ads user experience and launch new innovative formats to draw more advertisers to the Reddit ads platform. 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.
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 Reddit’s Ads Formats & Optimization team. Providing thought partnership on projects ranging from…

Identifying and opportunity sizing new, innovative ad formats
Improving existing ad formats through rapid experimentation
Researching new product surfaces ready for ads monetization

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.

Responsibilities:

Act as an owner by partnering with the Ads Formats & Optimization team on product development
Become an expert on users’ ads experiences on Reddit - designing & analyzing experiments to test improvements to our platform
Build KPI reporting & ETLs to track the performance of Reddit’s Ads Formats & Optimizations 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

Required Qualifications:

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 or in UX experimentation

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: $183,500 - $275,300.
#LI-Remote #LI-NH1


Lead Applied Data Scientist Experience With 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 Lead 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 Lead 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
Design the scope and analytics roadmap for clients. Manage a team through the process of solving some of our clients’ hardest problems; defining the client’s problem, designing a solution, and delivering high-quality work
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:

Manage and lead a team of applied data scientists, as well as cross-functional client delivery teams, that provides analytics and survey research consulting to achieve our clients’ business goals through the usage of Civis’ services and technology.
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.
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Pay Transparency


Senior Staff Data Scientist

Sr. Staff Data Scientist
at Mozilla Corporation
Team:
Data Organization
Locations:
Remote Canada
Hiring Ranges:
Canada Tier 1 Locations: $191,475 CAD - $280,830 CAD
Canada Tier 2 Locations: $173,175 CAD - $253,900 CAD
To learn more about our Hiring Range System, please click this link.
Now more than ever, the Internet is a utility that facilitates modern life. At Mozilla, we take this to heart, striving to build products that keep the Internet open, accessible, and secure for everyone. We need your help to enable the future of Mozilla in a way that makes us proud!
As a Sr. Staff Data Scientist in the Data Organization, you’ll be taking a lead role in a cross-functional team that is responsible for understanding and empowering the future of Mozilla.
The Role
The Data Science team sits at the intersection of product, marketing, engineering, finance, business, and leadership. We collaborate closely with these partners to create impactful data products. As a leader on this team, you will serve as a data expert who can represent the function of data science broadly across Mozilla, while helping the team advance its practice.
As a Sr. Staff Data Scientist at Mozilla you will:

Drive the vision and execution of work, often to address ambiguous issues, that creates impact across organizations.
Generate data-informed insights and communicate these narratives with data to a range of technical and non-technical colleagues to influence decision making and uplevel data fluency across Mozilla
Apply a variety of statistical methods including causal inference to understand the intricate ecosystem of our users, products, partners, revenue against our large scale data to understand ecosystems, user behaviors, and long-term trends. Define, forecast, evaluate and report on key business metrics.
Build key data sets to empower operational and exploratory analysis.
Advocate for standard methodologies across the organization.

Design and implement instrumentation and data models to improve product and business visibility.

Your Professional Profile

You lead with empathy. You value teamwork and teammates. You are invested in knowledge sharing and learning from others. You contribute positively and meaningfully to cultivate an inclusive and equitable team culture. You consider contributing to a collaborative and open team culture an important responsibility.

You have a background in quantitative analysis knowing how to analyze, visualize, and interpret data and have 4+ years of experience applying these skills in an industry setting. You have used forecasting or other predictive methods on large scale data. Working on machine learning in production is a plus.
You have experience with extracting data from a variety of sources using SQL or SQL-like tools as well as scripting languages such as Python or R.
You take stakeholder needs into account, bridging methodology and data into meaningful strategy from your analyses. You are a communicator who crafts impactful data narratives that inform company decisions around product, business, and finance.
You have a passion for a healthy web and the well-being of its users. You are conversant about the challenges and opportunities that exist where Mozilla has impact.

About Mozilla
Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.
Commitment to diversity, equity, inclusion, and belonging
Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission.  We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities and expressions.
We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccomodation@mozilla.com to request accommodation.
We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws.  Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.
Group: C
#LI-REMOTE
Req ID: R2127


Director Of Data Science Business Intelligence

Hims & Hers Health, Inc. (better known as Hims & Hers) is a multi-specialty telehealth platform building a virtual front door to the healthcare system. We connect consumers to licensed healthcare professionals, enabling people to access high-quality medical care—from wherever is most convenient—for numerous conditions related to sexual health, hair care, mental health, skincare, primary care, and more.
With products and services available across all 50 states and Washington, D.C., Hims & Hers is on a mission to help the world feel great through the power of better health.  We believe how you feel in your body and mind transforms how you show up in life. That’s why we’re building a future where nothing stands in the way of harnessing this power. We normalize health & wellness challenges—and innovate on their solutions—to make feeling happy and healthy easy to achieve. No two people are the same, so we provide access to personalized care designed for results. At our core, our mission is deeply personal—because we too are customers.
In January 2021, the company was listed on the NYSE and is traded under the ticker symbol “HIMS”. To learn more about our brand and offerings, you can visit forhims.com and forhers.com.
About the Role:
As Director of Data Science & Business Intelligence you will be empowered to build an enterprise Data Science and BI capability. This role will be critical in scaling our BI infrastructure and unlocking the power of data science in creating stickier experiences to our customers. Your knowledge of statistics, BI infrastructure, and analytics methods combined with your strong management  and communication skills will determine how we evolve key areas of our business. In this role you will be a player-coach, fully remote and report to senior leaders in the Analytics and Finance Organization.
You Will:

Build & scale our data science team, ultimately helping our business make decisions better
Create a data science roadmap that aligns with key areas of the business and unlocks value
Create and deliver on a business intelligence roadmap that scales our infrastructure, reporting and data model capabilities
Outline the customer journey, and identify levers the business can pull to delight our customer and create sticky experiences
Create multivariate models that showcase the key drivers of customer retention and churn
Collaborate cross functionally with analytics teams, engineering teams, and groups of passionate stakeholders dedicated to improving our customer experience
Distill our knowledge of the consumer into playbooks, data visualizations effectively putting knowledge into action that helps out business make decisions better

You Have:

9+ years of analytics experience
5+ years of leading analytics and data science teams with direct reports
Strong SQL skills
Expert proficiency in Python or R
Hands-on experience in statistics and machine learning, both in building and maintaining models as well as coaching and helping analysts choose the right methods to solve the problem at hand
Advanced knowledge of data visualization and BI in Looker or Tableau
Advanced knowledge of data models, infrastructure and data architecture
Comfort with ambiguity, evolving priorities, and an ability to lead a team and operate autonomously
Ability to explain technical analyses to non-technical audiences
Strong storytelling skills with the ability to coach and teach best practices

A Big Plus If You Have:

Extensive experience working with Data Engineering
DBT, airflow, and Databricks experience  business intelligence and data science enterprise teams in the past
An advanced degree in Data Science or Statistics or a Ph.d in a related field

Our Benefits (there are more but here are some highlights):

Employee Stock Purchase Program
An inclusive culture where we are always seeking improvement and cherish your input
Great compensation package with equity compensation
Unlimited PTO (10 holidays off), Mental Health days (1 day off per quarter)
Generous Parental Leave
High-coverage medical, dental & vision
Mental health & wellness benefits
Offsite team retreats
Access to Amazon HIMS Store to order any additional equipment to ensure you have the gear you need
Employee discounts on hims & hers & Apostrophe online products, and Apple Store
$75 monthly connectivity stipend (phone/internet)
401k Match

We are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply.
Hims is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Hims considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.
Outlined below is a reasonable estimate of H&H’s compensation range for this role.
An estimate of the current salary range is $175,000 - $225,000 H&H also offers a comprehensive Total Rewards package that includes equity grants of restricted stock (RSU’s) so that H&H employees own a piece of our company.
The actual amount will take into account a range of factors that are considered in making compensation decisions including but not limited to, skill sets, experience and training, licensure and certifications, and location.
Consult with your Recruiter during any potential screening to determine a more targeted range based on the job-related factors. We don’t ever want the pay range to act as a deterrent from you applying!