Data Scientist

WHO WE ARE:
ActBlue is a nonprofit that builds tech and infrastructure for Democratic campaigns, progressive-aligned causes, and people trying to make an impact in order to fuel long-term, people-powered change. If you’ve ever given online to a Democrat or progressive organization, chances are you’ve used our powerful online fundraising platform.
We put power in the hands of small-dollar donors and help thousands of groups — from presidential candidates to environmental organizations — build grassroots movements. We envision a democracy where everyone looking to make progressive people-powered change can easily and effectively deploy their resources, energy, and creativity to shape our country and futures. Each and every one of us, from the political activists to the tech innovators to the customer service pros, is fully committed to our mission.
THE OPPORTUNITY:
Members of the Data Science Team at ActBlue act as subject matter experts on all things small-dollar donor, from conversion rates on our contribution forms to trends in campaign finance data. We empower teams across the organization to magnify the impact and improve the experience of small-dollar donors, create data products for the campaigns and organizations using our tools, and serve as advocates for the small-dollar donor movement.
Data Science is part of a larger data team alongside the Data Platform and Data Engineering Teams. Together we provide data services and products to ActBlue and its users using SQL (PostgreSQL, Redshift, MySQL), R, Python, dbt, and Looker.
We’re hiring for multiple openings and are open to all levels of experience!
WHAT YOU WILL DO:

Be of service - work with colleagues and external partners to answer questions about ActBlue’s tools and the impact of small-dollar donors, surfacing trends and insights from domain-specific data (i.e. feature analytics for product teams, financial and operational analytics, and campaign finance data).

Build shared power - strengthen analytical capacity across the organization, including improving reporting workflows, assessing and collecting requirements for new analytics products, and training end users on using internal data products.
Practice curiosity - be proactive in identifying insights that have the potential for positive impact, and communicating those insights to teammates.
Nurture trust - effectively and empathetically communicate the knowns and unknowns of our analyses and data products to teammates across the organization.
Adapt with intention - manage and prioritize multiple requests and projects, some with tight deadlines and some with loosely defined instructions and desired outcomes.
Foster belonging - commit to being a member of a diverse and inclusive team, provide mentorship, offer respectful feedback, and celebrate team wins.
Take care - serve as a conscientious steward of our data, being as thoughtful with donor and user data as you would hope someone would be with your own.

WHAT YOU BRING:

Dedication to our mission of empowering small-dollar donors and helping nonprofits, progressive organizations, and Democratic campaigns build better fundraising programs.
Intermediate+ proficiency with SQL: SQL tuning for query performance, assisting in designing ETL/ELT pipelines.
Beginner+ proficiency with R (tidyverse, ggplot2) or Python (pandas, matplotlib).
Ability to use a combination of exploratory analysis, A/B testing, and multivariate and time series analysis to discern patterns from outliers.
Experience with business intelligence tools: from building out data models to training end users.
Excellent communication skills and ability to confidently share insights with various audiences.

Follow us on Twitter @ActBlue and our blog
LOCATION AND COMPENSATION:
This posting is for a full-time, remote, salaried position. ActBlue is currently authorized to support remote work employees in California, Colorado, Florida, Georgia, Hawaii, Illinois, Maryland, Massachusetts, Michigan, Minnesota, New Hampshire, New York, North Carolina, North Dakota, Oregon, Pennsylvania, Rhode Island, South Carolina, Texas, Utah, Vermont, Virginia, Washington, Washington D.C., and Wisconsin.
We offer a competitive salary and a generous compensation package, which includes the benefits listed below.
BENEFITS:

Flexible work schedules and an unlimited time-off policy
Fully paid and trans-inclusive health, dental, and vision insurance for employees and their families
Automatic 2% 401K contribution, plus up to 6% match
Three months paid parental leave for all new parents, adoptions included; 4 weeks of a fully paid flexible work schedule; plus an additional one week of paid leave and an additional one week of flexible work schedule for every full year the employee has worked for ActBlue
Commuter or home-office benefits, including a $1,000 home-office setup allowance for all new full-time remote employees
Additional perks including quarterly snack deliveries and digital subscriptions to the Boston Globe & New York Times

ActBlue is unable to sponsor work visas at this time.
INCLUSION STATEMENT:
Women, people of color, LGBTQIA2S+ individuals, and members of other minority or marginalized groups are strongly encouraged to apply. ActBlue is an equal opportunity employer and does not discriminate against candidates on the basis of race, ethnicity, religion, sex, gender, sexual orientation, gender identity, disability status, or veteran status.
ActBlue is also committed to providing reasonable accommodations to individuals with disabilities throughout the interview and employment process, including using our online system to apply for a position.


Data Analytics Data Science Lead

Job Description
ABOUT PURPOSE
Purpose builds and supports movements to advance the fight for an open, just, and habitable world. We use public mobilization and storytelling to help leading organizations, activists, businesses, and philanthropies engaged in this fight, and we create campaigning labs and new initiatives that can shift policies and change public narratives when it matters most.
To do this, Purpose brings together world-class talent from the world of creatives, content development, storytelling, campaigning, grassroots organizing, and political strategy to build new creative campaigning models.
Guided by smart strategy and powered by participation, our work reframes issues, engages new audiences, shifts public discourse, and ultimately drives targeted action and creates lasting impact. Join the team that made all this work!
ABOUT THE ROLE
Purpose is seeking an experienced Data Analytics / Data Science Lead who can design and execute data analysis and reporting approaches to support social impact campaigns across multiple complex issues areas. The Data Analytics / Data Science lead will be responsible for technical design and development of data products and reports, generating and communicating evidence-based insights to drive project success. This person will collaborate closely with our strategy and campaigns teams, collaborate with external partners, and contribute to business development as part of the Impact Measurement & Learning team.
The ideal candidate for the Data Analytics / Data Science Lead role is an agile, meticulous problem solver who understands how to design solutions that are grounded in rigorous technical and analytic methodologies. Your work demonstrates a strong grasp of data and data systems, analytic skills and methods, and attention to detail.
If these are the things that get you up in the morning, we want to hear from you! Please submit your resume and a cover letter that gives us insight into your passion and qualifications for the role.
This full time staff position and reports to the Global Heads of Impact Measurement and Learning. This role has an option to be fully remote, or to work out of any Purpose office.
This full-time exempt staff position is offered at the Manager, Associate Director. or Director tier, depending on experience. Salary range is $80,000 - $130,000 per year plus benefits, commensurate with experience.
Applications close May 30, 2022
RESPONSIBILITIES
Design and execute high-value data analytics and data science activities in a fast paced environment, utilizing rigorous research and data collection methods to demonstrate project success and broader impact through clear and concise analysis and reporting. Must be creative and flexible in designing and deploying novel approaches to meet project and client needs.
Assess the effectiveness of data sources and data-gathering techniques, and implement policies that improve user experience and increase efficiency of data operations across Purpose.  Build tools and processes to collect, manage, interrogate and extract data to supply tailored reports to colleagues, customers or Purpose staff.
Provides systemized, consistent quality control of campaign data and other data sources to ensure successful implementation of data protocols.  Designs analytic approaches, workflows and reports to support project data analysis and reporting needs; maintains systems and protocols to maintain best practices.
Collaborate with and guide project teams to pursue the best path towards data analysis goals and objectives. Builds relationships and facilitates collaboration with multiple internal and external stakeholders; maintains positive relationships even under difficult circumstances; sensitive to the impact of decisions on clients, partners, and team.
Collaborate with Global Heads of Function and other IML team members to build out data analysis / data science best practices, tools and infrastructure across Purpose.
Confidently presents and facilitates discussion of data analysis results and data products to clients, partners, and other non-technical audiences in a clear and well-structured manner; and able to engage in related and broader project context discussion and questions.
Proactively supports business development opportunities, including developing an approach to a client prospect's challenge, and participating in BD meetings or proposal development.
Embodies Purpose internal values on a day-to-day basis, demonstrates professionalism in all facets of work, promotes teamwork by maintaining positive & respectful relationships while contributing to team progress.
Ensure that our approaches to research, data analysis, and measurement & evaluation center diversity, equity, and inclusion while also meeting project needs, and furthers our commitment to social impact for good.
ABOUT YOU - You would be a great fit for this role if you have:
~5 years of relevant work experience in data analytics or data science especially related to social impact, advocacy, or progressive causes.
A passion for issue-based or political activism and a belief in Purpose’s work combining storytelling, evidence, and innovation to inspire people to remake the world.
A proven ability to guide and design research on projects to help achieve strategic goals, and a strong understanding of how to incorporate measurement & evaluation throughout all aspects of a campaign
Programming skills in Python, R, SQL, STATA, or other statistical tools are required. Data engineering or primary research design experience is a plus.
Fluency with digital tools, platforms and tactics including social media data collection, analytics and reporting a strong plus.
Flexible and creative in implementing and overseeing research or testing, including conducting research analysis and synthesizing insights that inform project planning and program design.
The ability to work well under pressure, maintaining quality and attention to detail under real-world deadlines, in a fast-paced agency or start-up setting. High bar for quality, rigor and integrity.
Demonstrated track record and/or interest in social sector/social impact organizing and advocacy.
Bilingual fluency in a foreign language is a plus.
Purpose takes on some of the biggest challenges in the world, which affect people of different identities and backgrounds in different ways. We are stronger and most effective with a diverse team leading the charge and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. As an equal opportunity employer, we welcome the unique contributions that individuals bring in terms of their education, opinions, culture, ethnicity, race, sex, gender identity and expression, nation of origin, age, languages spoken, veteran’s status, color, religion, disability, sexual orientation and beliefs.


Data Scientist

Here at Beyond, we are passionate about helping short-term rental property managers and hosts grow their businesses. Backed by the world-class Bessemer Venture Partners, we have grown from a bootstrapped company of a few to the market leader in our category.  We attribute our success to our belief that the people are the most important part of a business and our commitment to being a fantastic place to work.

It's with that in mind that Beyond is looking to add a Data Scientist to our growing team. Reporting to Engineering Manager - Data/Algo, you will have the opportunity to leverage statistical and machine learning techniques to innovate on the core product at Beyond - our dynamic pricing algorithm for short term rentals. You’ll work closely with experts from Revenue Management as well as data engineers to identify, design, test and implement improvements using a modern data processing workflow and tools.

Before reading further...

Beyond is passionate about diversity and cultivating our team’s potential. If you’re hungry for a good opportunity, but don't meet every point in this job description, please apply anyway!

As our Data Scientist, you'll be responsible for:

Working with Revenue Management to identify and explore opportunities to improve our pricing algorithm in ways that target key, meaningful metrics.
Using SQL and other tools to collect and analyze data using large scale (TB) datasets
Leverage statistical methods (such as time series decomposition, abnormal detection, loess regression for non-linear smooth curve, etc.) and machine learning and AI techniques (such as random forest model, gradient descent optimization, k-means unsupervised classification, etc.)
Implement Jupyter notebooks with Viola to implement and validate solutions including visualizations
Work with data engineers to handle data processing needs and shepherd algorithm changes into the production environment

So what kind of person are we looking for in this role? The person who will be successful in this role will be:

Passionate - you care about data science and an understanding of the practical application of data science to delivering value
Curious - you have a nose for understanding the business problems and potential underlying considered changes to our pricing algorithm
Communicative - you can communicate clearly and honestly with stakeholders on the revenue management side as well as the data engineering side.
Enthusiastic - you enjoy working in a fast-paced, highly effective startup environment, where work is focused on delivering value for customers

Now that we’ve told you what the job looks like, here are the qualifications we're looking for in a candidate:

BS/BA in computer science, mathematics or other relevant field. Advanced degree in a quantitative field strongly preferred.
3 years experience in a data science role
Expert in SQL
Proficient in Python, or proficient in at least one other popular DS programming language (i.e. R) and a willingness and ability to quickly ramp with Python
Demonstrated ability to produce models using statistical methods and machine learning to deliver DS solutions to business problems
Ability to understand and execute on business objectives and problems that underlie data science initiatives
Excellent communication and collaboration skills - you must be able to connect business/revenue management with data engineering to deliver new work into production
Experience with revenue management is a huge plus!

Company Values:
We are serious about our core values - We Care, We Are On the Same Team, We Inspire Trust, We Go Beyond, We Ship It - if those resonate with you, and you're ready to work with a team that lives and breathes those values, we want to hear from you.

Benefits:

Beyond offers a wide variety of benefits like: stock options, unlimited PTO, work from home office stipend, private health insurance, parental leave, wellness programs, a learning and development stipend and more! You can learn more about our benefits by visiting our careers site!

We Care about Diversity, Equity and Inclusion:
Beyond is committed to building a workplace that attracts humans of all genders, ethnicities, backgrounds, statuses and lifestyles. At our core, we care about our people and encourage every employee, partner and applicant to share their whole self with us. We are respectful of and empathetic towards different viewpoints, and believe that our ability to help short term rental managers succeed relies on us building a dynamic and diverse team. Whoever you are, you can Belong @ Beyond.


Sr Data Scientist Product Analytics

Our mission: eliminate every barrier to behavioral health.

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

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

We are looking for a Senior Data Scientist to drive analytics efforts targeted at enhancing end user experience within Spring Health’s software applications. You will be embedded in a product development team focusing on end user (Spring Health members’ or caregivers’) experiences and cover the entire feature launch cycle - from uncovering experience improvement opportunities to synthesizing actionable learnings and possible next steps post-launch. This role is highly collaborative: you will work closely with your product management, design, engineering, and user research counterparts and help the team connect the dots between product initiatives and business outcomes.

What you’ll be doing

You will collaborate with product development leads on defining key indicators of the quality of our member and caregiver experience and uncovering opportunities to improve these metrics
You will ideate and design A/B tests to evaluate new product features
You will define product telemetry that enables seamless reporting and analysis
You will build necessary data models and insightful, automated dashboards necessary to track key product metrics
You will actively participate in prioritization and roadmapping discussions
You will lean into appropriate advanced methods, from advanced experimentation techniques to causal inference and statistical modeling, for deep-dive analyses around user interaction patterns
You will participate in the development of data-centric product features

What we expect from you

Passion for changing the face of mental health care and excitement about Spring Health’s mission to remove all barriers to mental health
5 years of professional experience in a data role (data analyst, product analyst, data scientist, or similar), and at least 2 years of experience working with and defining product or growth metrics
Previous exposure to experimentation or hypothesis testing
Previous exposure to product development/design or a strong desire to learn all about it
Proficiency with SQL and a statistical analysis language (R/Python)
Experience working with BI tools (e.g. Looker, Tableau, Metabase) and product analytics SaaS tools (e.g. Mixpanel, Amplitude, Heap, etc.)
Excellent verbal and written communication skills to guide and make recommendations to technical and non-technical business users
Proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and product/business impact
Passion for successfully navigating ambiguous problem areas and learning new approaches
Proximity to NYC or willingness to travel once a quarter to NYC

What we'd love to see (Bonus):
Experience in defining product logging/telemetry and collaborating with engineering team on refining requirements and QA
Experience with data modeling for reporting and analysis using tools such as dbt or similar
Experience collaborating with user research teams
Previous experience working in a fast-paced environment

#LI-BW1

Benefits of working at Spring Health:

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

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

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

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

Members Come First: We are genuine member advocates.

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

Take Ownership: We extend trust and hold ourselves accountable.

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

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

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

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

#LI-remote


Data Scientist Customer Success

Clio is more than just a tech company–we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.
We are currently seeking a Data Scientist, Customer Success to join our Business Operations department in Burnaby, Calgary, or Toronto. This role is also available to remote candidates across Canada, excluding Quebec.
More than 150,000 legal professionals use Clio to run their legal practices. They come in all sizes, specializing in every field of law, and each one has unique needs. Clio solves many of their biggest problems out of the box, but every legal practice is different.
Our Customer Success team is critical to addressing our customers' unique needs. The team helps customers to onboard, use Clio effectively, and get questions answered. There are a variety of interesting data-related challenges that the team faces, including understanding patterns in customer support issues, how to provision the team to support customers effectively, what we can do to retain customers and help them thrive (which differs by type and size of customer), and how we can better understand “the voice of the customer” and embed it in our company’s efforts.
We are seeking a Data Scientist to be embedded into our Customer Success team—someone who thrives on both analytical challenges and working closely with customer-facing professionals. You will collaborate with everyone from business leaders to customer onboarding and support professionals to guide rapid iterations of hypothesis, prioritization, experimentation / analysis and roll-out. You will help build a scientific culture in our Customer Success team, help our business grow, and help our customers succeed. You will help lay the foundation for this work by ensuring good data quality, data governance, and analytical practices. And you will also be part of our larger Data Insights team for learning, career development, and company-wide data initiatives.
The Customer Success team is a cross-functional team with a strong focus on understanding customers, their goals, and their pain points, and helping them to do well. We thrive on helping our customers expand and grow their practices, and find added value in the variety of tools, products, and features we offer. We are so excited to welcome a data scientist to our group!
Who you are:
We aren’t looking for just any traditional Data Scientist to join this team. We’re looking for someone who thrives in a rapid-growth, high-velocity environment and likes collaborating with people just as much as working with code and data. We’re looking for an innovator and a thought leader who lives and breathes our values. We’re looking for someone who is:

Passionate about driving customer and business success empirically.
Strategically minded and business savvy.
Always looking to innovate with data and explore open-ended questions.

Self-motivated and able to work autonomously and collaboratively.

Agile and responsive, and comfortable with constant change.

Here’s what you’ll need to do:

Collaborate with the Customer Success team to identify opportunities, develop hypotheses, and run experiments that drive customer success and growth.
Ensure that the data needed for our hypotheses and experiments is available and usable (event tracking, data modeling).
Identify new questions about our business, product, and customers that lead to impactful insights.
Build predictive, churn, and other models.
Establish requirements and best practices for event tracking, testing frameworks, and other data collection to enable new insights in a scalable and predictable way.
Adapt techniques in visualization, statistical analysis, machine learning, and data mining.
Build a scientific culture in the Customer Success team by enabling discussions with data, disseminating best practices, and leading by example.

You may be a fit for this role if you have:

3+ years applied experience in data science.
Experience working with business problems and business analytics. We are looking for someone who understands and is interested in how a business operates.
Experience in product analytics working with product and user behavior data, including retention / churn analysis.
Proficiency in database modeling, SQL, and data warehousing principles.
Proficiency in developing analysis in Python (and optionally R).
Strong team player mindset, while able to work under own initiative and prioritize time and tasks effectively.
Excellent written and verbal communication skills.

Bonus points if you have:

A deep understanding of SaaS business metrics and growth drivers.
Experience working with smaller datasets (e.g. Bayesian approaches) and making effective inferences using the volume of data available.
Experience with customer interaction data and processes.
Degree(s) in a relevant quantitative discipline (computing science, statistics, mathematics, etc.)

Where your team works:
Clio is “distributed by design”. This means that Clio offers employees more choice: the opportunity to work from one of our hub offices across Canada, remotely, or a combination of both. We have invested in best-in-class tools, technology, and culture to ensure our team members are able to do their best work whether they prefer to work from an office or remotely.
Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility
Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.
Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.
Learn more about our culture at clio.com/careers.
About Clio
At Clio, we are on a mission to transform the legal experience for all. As the world's leading provider of cloud-based legal software, we provide lawyers with low-barrier, affordable solutions to manage and grow their firms more effectively, more profitably, and with better client experiences. Through the cloud, we believe that we can help create a more inclusive legal community and a more equitable legal system.  We are an award-winning team that has been recognized as one of Canada’s Best Managed Companies, Canada’s Most Admired Cultures and has topped Fast Company’s list of Most Innovative Companies. In line with our mission, we’ve been up to some big things, including becoming a multi-product company, launching a $1 million COVID-19 Legal Relief Initiative, and most recently, securing a US$110M Series E funding round and a USD $1.6B valuation.This is a historic moment in the growth of legal technology! As the first legal practice management unicorn globally, and one of only a handful of Canadian unicorns, this is only the beginning. If you’ve ever wanted to do the best work of your career, while having a meaningful impact in the lives of others, then Clio is the place for you.


Lead Data Scientist

About Petal and Prism Data

Prism Data is leading the future of cash flow underwriting, which directly addresses the problems faced by millions of Americans who cannot access fairly priced, mainstream credit products through legacy (credit report-based) underwriting. Prism’s infrastructure and API platform analyzes and risk-scores consumers based upon their banking transactional data -  enabling banks, fintech lenders, insurers, and others to have a more holistic, real-time view in how consumers earn, save, and spend - so they can serve more customers, build better products, and make smarter risk-based decisions.

Prism was launched in 2021 by Petal, which pioneered the use of automated cash flow underwriting in consumer credit over 6 years ago, as a means of providing consumers, especially those underserved by the mainstream financial system, access to safe and affordable credit.

Prism has emerged from its successful 2021 private beta. We're building out our first "core team" to commercialize the solution and expand access to businesses broadly.

We're looking for people with kindness, positivity, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and potential will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. We welcome diverse perspectives from people who think rigorously and aren't afraid to challenge assumptions.

The Lead Data Scientist role

We are working on revolutionizing credit through usage of personal cash flow in underwriting. Achieving this objective requires best in class models that are continuously being improved making the data science function critical for this mission.  These models will support our risk underwriting, acquisition and customer management teams. These models will allow our clients to improve their underwriting, acquisition, and customer management processes.

Key responsibilities:

Develop insights and data visualizations to solve complex problems and communicate ideas to internal stakeholders.
Build predictive models from development through testing and validation for customer acquisition, underwriting and customer management.  Utilize unstructured data in model development.
Extract and analyze data, investigate data integrity, generate metrics and perform ad hoc analysis.
Take accountability and ownership of end to end data science model/score design, development, and delivery.
Provide analytical consulting and thought leadership to stakeholders.
Lead junior teammates and partner with cross functional teams
Research new models and algorithms to improve our credit scoring.
Research new and enhanced model features to improve risk models.
Partner with data engineers to validate & deploy solutions in an efficient, sustainable & usable manner.

Characteristics of a successful candidate:

>5 years experience in data science building and implementing models; B.A. or M.S. degree in a STEM Major (Science, Technology, Engineering, or Math) or work equivalent is required.
Strong knowledge of traditional and machine learning models.
Strong knowledge of R , SQL and Python.
Strong self-management, drive, and organization.
Ability to multi-task in a fast-paced environment is essential.
Experience in financial services industry
Ability to translate technical concepts to a non-technical audience

Nice-to-haves:

Management experience
B2B Experience working at a vendor

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Data Scientist

As a Senior Data Scientist, you will help us apply statistical and machine learning techniques to complex health datasets to predict feature engagement, behavioral change, and health outcomes and challenge the state of the art personalization techniques in the domain of health and wellness. In this role, you will work as part of a small multi-disciplinary data science team that focuses on using data based methods to personalize the user experience and research the impact that our platform has on user health. This team will not only work with the product team (and in some cases embed directly in a product team) closely but will also support non-user-facing functions like Business Strategy and Partners.
To thrive in this role, you are someone who works well in cross-functional teams and enjoys collaborating. Furthermore, you understand the business impact of your work and enjoy measuring and presenting it. You enjoy working with product management and other stakeholders to find the best solution to the problem at hand, iterate over it and can balance technical complexity with delivering customer value in a timely fashion.
Our current data pipelines are built with Airflow and Python, we extensively leverage GCP capabilities (e.g. Cloud Functions, Vertex AI, Healthcare API, BigQuery) and utilize the Fast Healthcare Interoperability Resources standard across our data platform and to model our operational data. You will tackle complex health and non-health related datasets ranging from client events from our mobile applications, self-reported health information, connected devices data, and data from traditional healthcare systems of record (e.g. claims, care gaps, EHR). In this role, you will:

Effectively utilize statistical and machine learning algorithms in building personalization services including but not limited to recommendation engines and other predictive models that can be used to personalize the end-user in-app experience.
Your work will include identifying and engineering features (including collaboration with stakeholders to inform appropriate features and target labels), evaluation of various modeling techniques to employ, development of said models, and collaboration with machine learning engineers to put your models into production and monitor their performance over time.
Collaborate with both internal and external stakeholders to understand health and insurance ecosystems, model user behaviors and other long-term wellness trends to inform your development of personalization services
Apply proven analytic methods and algorithms on cross-functional domains by sourcing and leveraging data to support modeling
Conduct data based (e.g. primarily retrospective observational) research on our platform’s impact on user health as well as the application of data science and machine learning to digital health

About you:

MSc or PhD focused on data science/machine learning research or applications
2+ years of experience in data science or machine learning engineering
2+ years building and shipping data science based personalization services and recommendation systems
OR BSc focused on data science/computer science/engineering and  4+ years experience developing and shipping production grade machine learning systems
You have strong analytical and data science skills and are excited to apply it in non-traditional domains
You know how to break down complex and ambiguous problems to smaller, more manageable sub-problems and iteratively deliver value to customers
You have deep experience with data science toolkits like scikit-learn, Keras and Tensorflow, including Python or R. You are eager to learn from others and help others grow with you


Senior Data Scientist

Overview
This role is REMOTE/Fully Virtual - Must be based in U.S. (EST/CST ONLY)
Our global house-of-brands inspires and empowers youth culture. Relentlessly committed to fuel a shared passion for self-expression, we create unrivaled experiences at the heart of the sport and sneaker communities through the power of our people. If you want to be a part of something bigger than you can imagine, you’ve come to the right place.  To learn more about the incredible impact we’re making on both our local and global communities, Click Here!
You will acts as a technical lead in specific domains developing sophisticated predictive models, mining large data sets for insights, building scalable data products, and growing the overall Data Science capability at Foot Locker working with a prioritized roadmap for projects.
You will act as an expert in a particular domain of science models and works with other data scientists to create solutions to complex business problems. You must be adept at using large data sets to find opportunities and using models to test the effectiveness of different courses of action. Experience in data analysis, visualization, building and scaling models is imperative. You will use your proven ability to drive business results with data-based insights and be comfortable working with a wide range of stakeholders and functional teams. You will leverage your passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Responsibilities
On a Normal Day You Might:
Formulate, prioritize, and lead initiatives to contextualize and solve the most challenging problems in Foot Locker’s analytical portfolio Understand business problems and design end to end analytics use cases. Partner with business tech leads to implement reusable and robust solutions Apply strong expertise in machine-learning, data mining, and information retrieval to design, prototype and build the next generation analytics engine and services. Partner with data science leadership and engagement teams to present solutions and insights to business.
Help maintain and track project goals and roadmaps. Collaborate with software and data engineers to implement and deploy scalable solutions. Develop complex models and algorithms that drive innovation throughout the organization. This may include initiatives in understanding our Products, Customers, Operations, Footprint, etc. Mentor junior team members and provide constructive critique on specific projects.
Qualifications
Technical Must Haves:
Minimum 3 years’ experience in Data Science & Machine Learning requiredDeep knowledge of machine learning and statistics with a focus on forecasting and optimization required
An advanced understanding of supervised and unsupervised learning techniques including variable selection, feature engineering, model generation, model diagnostics, hyperparameter tuning and deployment   Excellent statistical skills that are grounded in a thorough understanding of testing and frequentist/Bayesian methodologies Experience in optimization algorithms such as Linear Programming, Knapsack and similar. Able to work with big-data. Familiar with spark/sql, pyspark, databricks Advanced programming skills in Python or R
Excellent data visualization skills: able to determine the appropriate visualization for a variety of data types and create compelling stories with data Understanding of Agile methodologies and continuous delivery Understanding of SDLC collaboration, including experience with tools such as GIT
Nice to Have:
Hold an advanced degree (MS/PhDs) in computer science, statistics, economics, physics, mathematics, operations research, or related technical discipline.
Knowledge of cloud environments such as Azure Previous work in the Retail/E-commerce industries. Time series forecasting a plus
Traits we are looking for:
You bring a Professional attitude and strong service orientation, superb team player You have strong business acumen and judgement combined with excellent verbal and written communication that can be used to drive our strategy throughout all levels of the organization You demonstrate organizational empathy while delivering results. Ability to build relationships quickly, collaborate and lead with courage will be a must
#LI-Remote
#LI-JM


Data Scientist

Overview
This is a REMOTE Role based in the US
Our global house-of-brands inspires and empowers youth culture. Relentlessly committed to fuel a shared passion for self-expression, we create unrivaled experiences at the heart of the sport and sneaker communities through the power of our people. If you want to be a part of something bigger than you can imagine, you’ve come to the right place.  To learn more about the incredible impact we’re making on both our local and global communities, Click Here!
Our Data Scientist work cross collaboratively with other team members and project managers, developing sophisticated predictive models, mining large data sets for insights, building scalable data products, and growing the overall Data Science capability at Foot Locker working with a prioritized road-map for projects.
Our Data Scientists work on a wide range of problems improving Foot Locker’s omni channel business. You will be working with large data sets to find opportunities and using models to test the effectiveness of different courses of action. You will be working with data analysis, visualization, the building and scaling of models. You will use your proven ability to drive business results with data-based insights and be comfortable working with a wide range of stakeholders and functional teams. You will leverage your passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Responsibilities
Work with lead scientists and scrum masters to understand, contextualize, and solve the most challenging problems in Foot Locker’s analytical portfolio Understand business problems and design end to end analytics use cases. Partner with business tech leads to implement reusable and robust solutions Apply strong expertise in data science, machine-learning, data mining, and information retrieval to design, prototype and build the next generation analytics engine and services.
Partner with data science leadership and engagement teams to present solutions and insights to business.  Collaborate with software and data engineers to implement and deploy scalable solutions. Develop complex models and algorithms that drive innovation throughout the organization. This may include initiatives in understanding our Products, Customers, Operations, Footprint, etc.
Qualifications
Bachelor’s degree in Business, Marketing, Statistics, Finance, Computer Science or related field from an accredited university or college required.An advanced degree (MS) in mathematics, statistics, physics, economics, computer science, operations research or related technical discipline ir preffered. Minimum of 2 years professional experience’ working in Data Science & Machine Learning.  Experience in the retail/e-commerce domain is a plus. Deep knowledge of machine learning and statistics. An advanced understanding of supervised and unsupervised learning techniques including variable selection, feature engineering, model selection training/testing/validation, model diagnostics, and deployment.   Excellent statistical skills that are grounded in a thorough understanding of testing and frequentist/Bayesian methodologies. Able to work with big data. Strong SQL skills; Spark/sql, pyspark, databricks. Solid programming skills in python or R. Excellent data visualization skills: able to determine the appropriate visualization for a variety of data types and create compelling stories with data. You are a team player with strong business acumen and judgement combined with excellent verbal and written communication that can be used to drive our strategy throughout all levels of the organization. You demonstrate organizational empathy while delivering results. Ability to build relationships quickly, collaborate and lead with courage will be a must.Experience with time series forecasting, optimization (linear programming and others), causal modeling & neural networks, a plus.Knowledge of cloud environments such as Azure, a plus. Understanding of SDLC collaboration, including experience with tools such as GIT, a plus.Understanding of Agile methodologies and continuous delivery.
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#LI-JM1


Data Scientist

About usHave you always wanted to unite your passion for learning with your skills as a Data Scientist? Do you want to work with an incredible team that is making an impact on learning around the world? Then we can’t wait to meet you!We’re looking for a highly motivated and driven Data Scientist (based in Spain) who is passionate about data, automation, statistical models, technology, innovation, and education, and would love to work in a collaborative environment at Edpuzzle, a leading edtech company with offices in San Francisco and Barcelona.How will you work?Do you like to face new challenges? You’ll have a front-row seat at one of the fastest-growing companies in educational technology, trusted by over 80% of schools in the USA and millions of teachers and students across the globe. You’ll also have the opportunity to contribute to our product and team development, be part of diverse projects and stay up to date with the latest software technologies. In the process, you’ll be challenged daily, learn constantly, see the impact of your opinions and work, and grow as a Data Scientist.What technologies will you find? Technically speaking, the product database is hosted in MongoDB Atlas and we use Atlas Data Lake to transfer the data to our AWS S3 Data Lake. Then, we use Spark code in AWS Glue as our ETL to send everything into AWS Redshift, our Data Warehouse. Data Quality and modeling will be done in Python code. Finally, we make use of visualization tools to report everything.What about the team?Our Data Team is composed of team members of different levels of seniority. This allows us to learn from each other, get to know our product in depth and collaborate on scalable projects to achieve challenging goals together.About you You’re excited by the opportunity of working in education. You make all your technology decisions with the final user in mind. You love learning and mastering technologies. You can work independently, and manage goals and deadlines effectively. You have an excellent ability to communicate your ideas, regardless of the audience. You must have Spanish or EU working papers. Responsibilities Identify valuable data sources and automate collection processes. Extract and query data from our data lake and data warehouse: Undertake the preprocess of structured and unstructured data. Create scripts for optimising keyword structures. Ensure data quality and integrity: Continuously generate data-driven hypotheses and advocate on testing best practices, contributing to accelerating our testing cycles. Design, implement and maintain a solid data lake and data warehouse that collects, stores, and processes data, focusing on scalability and reliability. Analyse large amounts of information to discover trends and patterns, and interpret and analyse data problems. Combine models through ensemble modeling. Propose solutions and strategies to business challenges. Collaborate with the Data Team members as well as the Engineering and Product development teams. Build analytic systems and predictive models. Derive insights from our customers’ behaviors and journeys to facilitate activities for acquisition, engagement and retention  Proven experience as a Data Scientist or similar role for at least 3 years. Experience in data mining. Knowledge of data management and visualization techniques. Knowledge of R and/or Python; familiarity with Javascript. Experience working with BI tools (Tableau or Looker). Experience with SQL and NoSQL databases. Experience working with AWS. Analytical mind and strong math skills (e.g. statistics, algebra). Critical thinking and problem-solving skills. Excellent communication and presentation skills. Graduate degree in Data Science or other quantitative field is preferred; BSc/BA in Computer Science, Engineering or relevant field. Bonus Skills - Experience with: Business intelligence tools (e.g. Tableau or Looker) and data frameworks (e.g. Hadoop). Elasticsearch Mixpanel NewRelic What will you find if you join us? Competitive salary (36K- 48K), and a substantial yearly salary review A fun, friendly team of highly motivated people with different skill sets and backgrounds 100% remote friendly: You can decide how to work (remotely or hybrid, for the best of both worlds!) Flexible working hours and Friday reduced working time Training and development (CodelyTV, etc.), we love staying up-to-date! MacBook Pro and double monitor setup Team activities during working hours Flexible remuneration for transport and childcare Social Benefits: At Edpuzzle we take care of your Health and Meals! We offer you Private Health Insurance with AXA and Ticket Restaurant (an annual budget of 2000 € to spend at participating restaurants) 23 vacation days, plus the 24th and 31st of December, and April 23rd Brand new office in Barcelona with a chill-out room and a terrace with free coffee, snacks, and drinks waiting for you! Edpuzzle is an equal opportunity employer, and we highly value diversity at our company. If you'd like to be considered for this position, please apply below. We look forward to meeting you!


Senior Data Scientist Nc

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.  Our employees 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 in Python or R. Ability to write complex SQL queries Proficiency with Machine Learning 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, Power BI, etc. 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.


Lead Data Scientist

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees 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 Lead Data Scientist you will lead the design and analysis of our Media Mix Modeling Team.  You will join our multi-functional Optimization team comprised of Data Scientists, Software Engineers, and Data Engineers.  You will be responsible for delivering insights about a major CPG marketing efforts. We lead and support analyses across Channel Digital, offline marketing, email marketing, social media, and paid media. You will also uncover high-impact optimization opportunities, craft compelling A/B test proposals, and analyze experiment results. If you’re passionate about the intersection between marketing, data science, and experimentation, we encourage you to apKey Responsibilities Core responsibilities cover three pillars:   DIGITAL ANALYTICS:  Lead a select number of strategic analyses to provide teams and leaders with concrete insights regarding opportunities to improve Effectiveness, ROIs, and conversion.  EXPERIMENT ANALYSIS: Design experiments, analyze results, develop insights, and summarize recommendations.  Work closely with the A/B Test Platform Engineering Team to ensure the analytics implementation suits our needs.   RESEARCH & DEVELOPMENT: Partner with Data Scientists across Markets, Retail, and Operations on projects to increase the sophistication of our ROI program and deliver deeper insights about marketing performance.  Productization: Maintain code which can be productise and packaged as python packages in any cloud environment.  Provide thought leadership to provide MLOps framwork and DevOps suite to run model in production.  Expertise with experimentation and statistical hypothesis testing (e.g. sample size determination / power analysis, statistical tests, confidence intervals, etc).  Build predictive causal inferencing models (e.g. bayesian filters, kalman filters) for state space models. Good communication and presentation skills with the ability to communicate analyses to a diverse group of partners including data scientists, stakeholders, and marketing leaders.  Outstanding digital analytics experience with the ability to derive insights from multiple quantitative and qualitative data sources.  Strong data querying skills (SQL) and experience with a OOPs framework language (Python).  Excellent time leadership skills and ability to lead multiple A/B testing projects in various stages of development.  Great teammate who enjoys collaborating with others.  BENEFICIAL BUT NOT REQUIRED  Experience with econometrics and quasi-experiments. Experience with predictive analytics and ML algorithms such as regression, decision trees, clustering, and neural nets. Experience in optimization algorithms to determine best budget alloc 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. #LI-remote


Senior Data Scientist Healthcare Decision Intelligence Products

For more than 20 years, PointClickCare has been the backbone of senior care.  We’ve amassed the richest senior care dataset making our market density untouchable and our connections to the healthcare ecosystem exponentially more powerful than those of any other platform.

With Collective Medical & Audacious Inquiry, we’ve become the most expansive, full-continuum care collaboration network, offering care teams immediate, point-of-care access to deep, real-time insights at every stage of a patient’s journey.

For more information on PointClickCare, please connect with us on Glassdoor and LinkedIn.

*This position is remote for candidates living in North America*

Position Summary:
As the Senior Data Scientist/Informaticist on the Decision Intelligence Platform Team, you will lead Predictive and Prescriptive Analytics Vision, Strategy and Roadmap for our Decision Intelligence Platform Systems and Packaged Insights.  Your direct customers will be Product Leadership and your indirect customers will be end users, engineering, and technologists.  You will play an instrumental role in enabling the organization to bring new analytics solutions to market that transform the way healthcare is provided.
This is a highly collaborative and influential role, where you will be responsible for defining and operationalizing analytics for use across Acute & Payer and Post-Acute markets. You are data and insight driven, passionate about solving complex problems, and you have a proven track record of aligning cross-functional teams towards common goals.
In this role, you will drive the development of analytics algorithms and visualizations and solutions that fuel descriptive, predictive and prescriptive solutions, spanning business intelligence (packaged & self service reporting), workflow integration, and advanced technologies such as simulation and AI/ML.

What you will be doing:

·             Leading the vision, strategy, and execution for predictive and prescriptive analytics, including but not limited to
·             Exploratory analysis for meaningful analytics, aligned to product and corporate vision
·             Contextualization of analytics for client and end user decisioning
·             Development of reusable algorithms, to be codified in workflow, packaged insights, etc.
·             Establishment of visualization standards
·             Integrated roadmap, reflecting statistical models, AI/ML, simulation and other methods to drive client value
·             Building and managing strategic relationships with internal product consumers, Go-To-Market teams, and external stakeholders
·             Prioritizing and synthesizing research into clear, actionable analytics strategy and building consensus around the strategy with senior leadership
·              Communicating roadmap and strategy to all stakeholders to align on outcomes
·              Collaborating with Product Managers to measure success and value of analytics through pilot and in-market
·              Working with marketing and sales to build analytics marketing, positioning and messaging
·               Working with product, implementation and operational teams to ensure customer success
·               Collaborating with stakeholders to ensure analytics are an integral part of an overall product delivery strategy

What you bring to the team:

·       Senior level Analytics and Informatics experience, preferably in a Product environment
·       Demonstrable success in healthcare analytics, informatics or business intelligence, spanning descriptive, predictive and prescriptive
·       Familiarity with Workflow integration, Decision Science, Digital Twins, Simulation
·       Proven track record presenting analytics for consumption by end users
·       Ability to prioritize across multiple projects and stakeholders, and influence teams towards a single, cohesive vision
·       Experience managing analytics projects through the entire lifecycle, idea through operationalization
·       Experience within an Agile/Scrum environment
·       High adaptability or experience in an incubation or "startup" culture
·       Strong listening, communication, collaboration and presentation capabilities
·       Preference for some experience or familiarity with the cross-continuum challenges in the healthcare and interoperability market
·       Master’s Degree in statistics, data science, informatics or related field
·       Experience with business and/or healthcare settings

#LI-SG1 #LI-Remote

It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations.

When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com

PointClickCare is committed to Information Security.  By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.


Senior Data Scientist

Aspiration is in the business of fighting the climate crisis. We help people and businesses build sustainable impact into what they do every day by making it easy, automated, and powerful -- whether it is in the ways people spend and save their money or the ways businesses engage their customers and employees. Across our initiatives--from our debit and credit cards to our global scale reforestation and carbon credit projects--the estimated cumulative climate impact of the Aspiration community thus far is the equivalent of taking every car in the state of Wyoming off the road for a year. With more than 7 million members, over $550 million in funding to date, and a commitment to plant one billion trees by 2030, Aspiration is not only a certified B Corporation but has been named to the “Best for the World” list of the top five percent of highest scored certified B Corporations five times in a row.

Our Core Values are Aspiration’s guiding principles:

Action: We take initiative. We are doers, not bystanders.

Boldness: We don’t tinker, we transform.

Customer-Centered: Our customers are at the core of our business. Delivering for them is our North Star.

Diligence & Dedication: We do what we say we’re going to do, when we say we’re going to do it.

Entrepreneurial: Act like an entrepreneur not an employee, generate results for the company and customers everyday.

Aspiration is looking for a Senior Data Scientist to help design and develop machine learning models to drive our business forward. This role will play a pivotal role in implementing machine learning models across our products as well as, running high business impacting analytics that will help us provide the best possible experience for our customers.

What You'll Do

Lead the end-to-end process of conceptualizing, developing, deploying, and analyzing models. Work independently to design machine learning solutions that operate quickly and effectively at scale.
Dedicatedly perform explorations of data and algorithms to improve our models, explore new prediction algorithms, construct new features, and models, and research new technologies.
Own the data quality of your projects including training, test and experiment data.
Has a proven ability to learn quickly and works well both independently as well as in a team setting.
Creatively leverage new and existing data to increase the effectiveness and efficiency of our decision-making infrastructure.
Apply good software development practices and actively contribute to production code where practical.
Help build the next generation of data products at Aspiration.

What You'll Bring

Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Engineering or a quantitative discipline.
Masters/PhD degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Engineering or a quantitative discipline preferred.
Demonstrable experience applying these methods to real world prediction problems (classification, regression, unsupervised learning, etc).
6+ years of experience in a Data Science role.
Fluent in a production-ready programming language such as Python. Ability to deploy and scale models into a production environment collaborating with engineers.
Fluent in common data science tools (e.g. scikit-learn, numpy, pandas) in Python and experience developing ensemble models (e.g. random forest, xgboost, catboost, ec).
Fluent in SQL, ability to efficiently query large dataset.
Experience with AWS data warehouses and services (e.g. EC2, S3, Sagemaker).
Communication skills and the ability to convey complex data visually, verbally, and in writing.
Experience with development tools and platforms such as Jupyter Notebook, PyCharm.
Experience with git commands and familiarity with Unix/Linux environments.
Prior experience in FinTech is a plus.

What You'll Get

Work for a mission-driven company to transform the lives of millions by building a better, values-oriented financial firm.
Opportunity to be part of and to contribute to ESG, as a steward of social and environmental change.
Participation opportunities in Diversity, Equity and Inclusion employee activities and events
Robust benefit offerings, including medical, dental, vision and 401k.
Parental Leave expansion (12 weeks of paid leave over the course of a year)
Pet Insurance and other voluntary benefit plan offerings
Unlimited vacation time and 80 hours of sick time annually
12 Paid Holidays
Work from home setup and equipment reimbursement
Semi - annual performance reviews
Employee Referral Bonus Program

Aspiration is proud to be an ESG company.  We are an equal opportunity workplace. Diversity at Aspiration is not just compliance-driven. Diversity is our compass to drive equitable practices; to celebrate individuality; and to foster the uniqueness within each of us that makes our products, services, and culture better than most. Yes, we are proud to be a DEI company and we encourage everyone, inside and outside of Aspiration, to show up as you are and as you want to be, every day.

This organization participates in E-Verify.  Find more information here!

#BI-Remote #LI-Remote


Machine Learning Scientist

Meet Upside:
We created Upside to help communities thrive! Our retail technology uses the sophistication of online retail—profit measurement, attribution, and incrementality—to provide users with more value on their everyday purchases and brick and mortar businesses with new, profitable customers. We’ve helped millions of users earn 2 to 3 times more cash back than any other product, and tens of thousands of brick and mortar businesses earn measurable profit. Billions of dollars in commerce run through the Upside platform every year, and that value goes directly back to our local retailers, the consumers they serve, and towards important sustainability initiatives. Our mission, values, and commitment to inclusivity guide our team of more than 300 people worldwide, and the quality of our culture is reflected in the impact we’ve had on communities nationwide. You’ll join a Team whose experience hails from places such as Google, Uber, Amazon, Instacart, Capital One, and MasterCard with proven startup executives and venture capitalists.
Upside was named #2 on Deloitte's 2021 list of Fastest Growing 500 Tech Companies and  #308 in Inc.’s America’s fastest growing private companies of 2022. Upside’s Series D funding was raised in March 2022 and led by General Catalyst at a $1.5 billion valuation. Other investors include Bessemer Ventures and Formation8.
Meet the Data Science team:
The data team is a close-knit group of hardworking, fast-learning individuals that believes in our mission to help communities thrive! We believe in a data-driven approach to decision-making and an encouraging culture that emphasizes learning from our mistakes. We debate and deliberate on the best ideas to improve our processes, and strive for an inclusive atmosphere that nurtures the psychological wellness of all of our teammates.
About the job:
As a Machine Learning Scientist at Upside, you’ll be developing and deploying machine learning models that will personalize the experience of Upside users both inside and outside the app, helping them to find the right product at the right merchant at the right price at the right time. You will work closely with our product and marketing teams to identify areas where machine learning algorithms can improve the user experience, and oversee the development and deployment of those models from conception to evaluation.
What you'll do:

Develop and iterate on algorithms in the personalization and recommendation space that will return real-time predictions and recommendations in-app
Own all aspects of model development from initial research and development to deployment
Analyze performance of models in champion-challenger tests and communicate results to relevant stakeholders
Mentor other machine learning scientists and data scientists on the team

What you need:

A PhD in a quantitative field
Experience with Python and SQL
At least 3 years of experience using recommender systems, ranking algorithms, and similar techniques to personalize user experience on an app or website
A proven track record of developing new machine learning models or improving existing models that led to measurable improvements in core business metrics
Solid understanding of statistics, machine learning, and deep learning
Strong communication skills
Experience with deploying models into production preferred

The fine print:

Notice to recruiters and placement agencies: This is an in-house search with a dedicated resource. Please do not submit resumes to any person or email address at Upside. Upside is not liable for, and will not pay, placement fees for candidates submitted by any party or agency other than its approved recruitment partners.

At Upside, we believe that diversity drives innovation. Our differences are what make us stronger. We‘re passionate about building a workplace that represents a variety of backgrounds, skills, and perspectives and does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Everyone is welcome here. Come join us!
#LI-NE1


Data Scientist

Meet Upside:
We created Upside to help communities thrive! Our retail technology uses the sophistication of online retail—profit measurement, attribution, and incrementality—to provide users with more value on their everyday purchases and brick and mortar businesses with new, profitable customers. We’ve helped millions of users earn 2 to 3 times more cash back than any other product, and tens of thousands of brick and mortar businesses earn measurable profit. Billions of dollars in commerce run through the Upside platform every year, and that value goes directly back to our local retailers, the consumers they serve, and towards important sustainability initiatives. Our mission, values, and commitment to inclusivity guide our team of more than 300 people worldwide, and the quality of our culture is reflected in the impact we’ve had on communities nationwide. You’ll join a Team whose experience hails from places such as Google, Uber, Amazon, Instacart, Capital One, and MasterCard with proven startup executives and venture capitalists.
Upside was named #2 on Deloitte's 2021 list of Fastest Growing 500 Tech Companies and  #308 in Inc.’s America’s fastest growing private companies of 2022. Upside’s Series D funding was raised in March 2022 and led by General Catalyst at a $1.5 billion valuation. Other investors include Bessemer Ventures and Formation8.
Meet Upside Data Science Team:
The Data Team is a close-knit group who are the center of excellence for advanced decision support and developing and deploying machine learning models that drive our core product! We believe in a data-driven approach to decision-making and an encouraging culture that emphasizes learning from our mistakes. We debate and deliberate on the best ideas to improve our processes, and strive for an inclusive atmosphere that nurtures the psychological wellness of all of our teammates. We operate as player-coaches, engaging in analysis and R&D, as well as leveling up data literacy with each business unit with whom we partner.
Our technology stack:

Python / Jupyter / Sagemaker
Snowflake data warehouse on AWS, S3, and Athena
Looker for visualization and exploration
Segment / Optimizely for events and A/B testing
Jenkins / Github / Terraform

About the job:
As a Data Scientist, your impact will reach across the Finance, Marketing, Operations, Product, Engineering, and Sales teams as you design experiments, develop prediction models, and perform causal analysis to inform strategy. As an early member of a growing team, you'll be able to have an impact on the direction and evolution of the data practice and the company as a whole.
What you’ll do:

Optimize the algorithms that personalize the discounts surfaced in our product, as well as use a wide array of predictive modeling and unsupervised learning techniques to solve business problems such as predicting user retention and lifetime value, detecting fraud, optimizing marketing spend, and recommending merchants to users
Collaborate with various partners across the company to understand data and modeling needs, design experiments, perform statistical analysis, and guide business decisions through data-centric presentations.
Establish and test hypotheses in a rigorous way; provide guidance on experimental design, conduct power analyses, run A/B and multivariate tests and then analyze their outcomes.
Define KPIs, work with engineering to instrument our systems and define data requirements, and collaborate with the data engineering team to build data pipelines and infrastructure.
Communicate technical and quantitative concepts to non-technical audiences, including tying recommendations to business goals and outcomes.

What you need:

At least 3 years of work experience in predictive analytics, data science, Machine Learning, or similar role.
A Ph.D. or Master’s degree in a quantitative field.
Experience with experimental design, advanced statistics, and predictive modeling; familiarity with methods such as forecasting, time series analysis, reinforcement learning, and anomaly detection a plus.
Experience in SQL, as well as Python, R, or a similar language; experience with visualization tools and big data platforms and technologies a plus.
An ability to simplify complex problems, synthesize data, and create compelling narratives to inform decision making.
Strong analytical and organizational skills, along with strong attention to detail and quality.

The fine print:

Notice to recruiters and placement agencies: This is an in-house search with a dedicated recruiter. Please do not submit resumes to any person or email address at Upside. Upside is not liable for, and will not pay, placement fees for candidates submitted by any party or agency other than its approved recruitment partners.

At Upside, we believe that diversity drives innovation. Our differences are what makes us stronger. We‘re passionate about building a workplace that represents a variety of backgrounds, skills, and perspectives and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Everyone is welcome here, come join us!
#LI-NE1


Manager Data Science

Job SummaryCollaborate with both internal teams and external partners to enhance our marketing measurement methodologies.  Utilize and expand the industry standard tools such as Marketing Mix Modeling (MMM) and Multi-touch Attribution (MTA) to optimize the marketing planning and media execution. Combine model results with business knowledge to inform marketing, media, and upper management teams with meaningful business insights and actionable recommendations. Develop processes to consolidate and analyze data sets from various sources. Manage project teams to ensure quality of work and on time delivery.Job Responsibilities
Manages the daily operational activities that develop and implement tactical plans for specified area. Oversees team(s) assigned to projects and may manage implementations. Ensures resources are accurately allocated in line with tactical plans and appropriately accounted for.Designs, develops, and implements methods, processes and systems to consolidate and analyze diverse data sets including structured and unstructured. Performs as subject matter advisor and may serve as point of escalation and become actively involved, as required, to meet schedules and resolve problems highly complex in nature.Manages issues proactively, including timely resolution and the identification of remediation opportunities.Develops software programs, algorithms, dashboards, information tools, and queries to clean, model, integrate and evaluate datasets.Keeps abreast of new analytic methodologies and technologies.Collaborates with functional business units to drive business solutions and direction.Establishes credibility with partners while managing expectations. Ensures frequent, continuous and effective communications with team members, and with stakeholders to set expectations and negotiate priorities appropriately, via both formal and informal channels / mechanisms.May develop budget for functional area. Manages budget to plan. May be accountable for area budget and delivering against business goals/objectives.Stays abreast of industry leading best practices and brings them to the attention of the leadership team for innovative application. May develop partnerships (and relationships) with internal and external stakeholders to meet business needs.Allocates available resources to meet operating objectives. Develops and mentors staff through on-boarding, open communication, training and development opportunities and performance management processes; builds and maintains employee morale and motivation; ensures the team is appropriately staffed with required competencies; fosters a diverse and inclusive workplace.


Senior Data Scientist Statistician

Job Summary:
Applies highly complex statistical techniques to help solve problems. Provides insights and actionable recommendations to the business. Utilizes highly complex statistical modeling to make predictions about future outcomes and in multiple scenarios. Explains findings to business audience.
Job Responsibilities:
Responsible for applying highly complex advanced data analysis tools and techniques to provide insights and actionable recommendations for the businessUtilizes highly complex statistical modeling to make predictions about future outcomes and in multiple scenarios.Interprets and applies data in highly-complex analyses, and explains findings to business audiences to improve products and processes.Executes multiple and/or highly complex statistical and mathematical analyses to support business decision making for multiple business functions.Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis and data mining.Documents projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics.Develops materials to explain project findings.Typically assigned to important / complicated undertakings.Anticipates and prevents problems and roadblocks before they occur.Interacts with internal and external peers and managers to exchange complex information related to areas of specialization.Mentors less experienced members of the team. Provides guidance regarding analytical approach and iteration of algorithms.
An Equal Opportunity Employer, including disability/veterans
About Walgreens Boots Alliance
Walgreens Boots Alliance (Nasdaq: WBA) is a global leader in retail pharmacy, impacting millions of lives every day through dispensing medicines, and providing accessible, high-quality care. With more than 170 years of trusted healthcare heritage and innovation in community pharmacy, the company is meeting customers’ and patients’ needs through its convenient retail locations, digital platforms and health and beauty products.
Including equity method investments, WBA has a presence in more than 25 countries, employs more than 450,000 people and has more than 21,000 stores.
WBA’s purpose is to help people across the world lead healthier and happier lives. The company is proud of its contributions to healthy communities, a healthy planet, an inclusive workplace and a sustainable marketplace. WBA is a participant of the United Nations Global Compact and adheres to its principles-based approach to responsible business.
WBA is included in FORTUNE’s 2021 list of the World’s Most Admired Companies*. This is the 28th consecutive year that WBA or its predecessor company, Walgreen Co., has been named to the list.
More company information is available atwww.walgreensbootsalliance.com.


Data Scientist

Job Summary
Applies advanced data analysis tools and techniques to provide insights and actionable recommendations for the business to improve quality of patient care. Utilizes complex statistical modeling to make predictions about future outcomes and in multiple scenarios. May explain findings to business audience.
Job Responsibilities
Responsible for applying advanced data analysis tools and techniques to provide insights and actionable recommendations for the business. Utilizes complex statistical modeling to make predictions about future outcomes and in multiple scenarios.Interprets and applies data in complex analyses, and explains findings to business audiences to improve products and processes.May support or lead the development of data-related commercial offerings and/or other intellectual property (IP)Executes statistical and mathematical analyses to support business decision making.Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis, and data mining.Documents projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics.Develops materials to explain project findings.Effectively resolves problems and roadblocks as they occur.Interacts with internal and external peers and/or managers to exchange semi-complex information related to assigned activities.Prepares and presents interpretation of findings to internal clients.
An Equal Opportunity Employer, including disability/veterans
About Walgreens Boots Alliance
Walgreens Boots Alliance (Nasdaq: WBA) is a global leader in retail pharmacy, impacting millions of lives every day through dispensing medicines, and providing accessible, high-quality care. With more than 170 years of trusted healthcare heritage and innovation in community pharmacy, the company is meeting customers’ and patients’ needs through its convenient retail locations, digital platforms and health and beauty products.
Including equity method investments, WBA has a presence in more than 25 countries, employs more than 450,000 people and has more than 21,000 stores.
WBA’s purpose is to help people across the world lead healthier and happier lives. The company is proud of its contributions to healthy communities, a healthy planet, an inclusive workplace and a sustainable marketplace. WBA is a participant of the United Nations Global Compact and adheres to its principles-based approach to responsible business.
WBA is included in FORTUNE’s 2021 list of the World’s Most Admired Companies*. This is the 28th consecutive year that WBA or its predecessor company, Walgreen Co., has been named to the list.
More company information is available atwww.walgreensbootsalliance.com.


Senior Manager Data Science Media Solutions

Job Summary
Manages complex data gathering and integrating large volumes of data, performing analysis, interpreting results and developing actionable insights and recommendations for use across the company.  Provides management and guidance to multiple groups of staff of data scientists and data analysts to implement the company’s data science strategy. Manages efforts of others in the achievement of the strategic and operational objectives.
Job Responsibilities
Provides management and guidance to multiple groups of data scientists and data analysts to implement the company’s data science strategy.Manages efforts of others in the achievement of the strategic and operational objectives. Leads the area to ensure performance standards and all goals and objectives are met in a timely and organized fashion.Manages complex data gathering and integrating large volumes of data, performing analysis, interpreting results and developing actionable insights and recommendations for use across the company. Research techniques may include statistical modeling, visualization, machine learning, and data mining.Makes recommendations regarding the operating plans for specified area, then, based on prevailing conditions may realign the daily operations. Plans and structures work activities for teams and monitors progress and results. May develop briefs for outside vendors and manages their relationship.Provides guidance and supervision to teams as they carry out work activities. Recruits and develops staff within area of responsibility in accordance with policy. May manage vendors engaged in big data analysis.Influences individuals within and outside the department. Prepares and presents reports to all levels of leadership and staff. May develop budget for functional area. Manages budget to plan and is responsible for meeting/delivering against budgetary goals and objectives.Stays abreast of industry leading best practices and brings them to the attention of the leadership team for innovative application.Develops and leverages partnerships (and relationships) with internal and external stakeholders to meet business needs.Oversees and manages managers, supervisors and individual contributors.  Allocates available resources to meet operating objectives. Ensures the ongoing training and development of direct reports. Develops and mentors staff through on-boarding, open communication, training and development opportunities and performance management processes; builds and maintains employee morale and motivation; ensures the team is appropriately staffed with required competencies; fosters a diverse and inclusive workplace.
An Equal Opportunity Employer, including disability/veterans
Walgreens (www.walgreens.com) is included in the Retail Pharmacy USA Division of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), a global leader in retail pharmacy. As America’s most loved pharmacy, health and beauty company, Walgreens purpose is to champion the health and wellbeing of every community in America. Operating more than 9,000 retail locations across America, Puerto Rico and the U.S. Virgin Islands, Walgreens is proud to be a neighborhood health destination serving approximately 8 million customers each day. Walgreens pharmacists play a critical role in the U.S. healthcare system by providing a wide range of pharmacy and healthcare services. To best meet the needs of customers and patients, Walgreens offers a true omnichannel experience, with platforms bringing together physical and digital, supported by the latest technology to deliver high-quality products and services in local communities nationwide.
#LI-CB1
The following information is applicable to Colorado only, in accordance with the Colorado Pay Equity Act. In Colorado, an employee in this position can expect a salary/hourly rate between $130,000 - $222,500 and plus bonus pursuant to the terms of any bonus plan, if applicable will depend on experience, seniority, geographic locations, and other factors permitted by law. To review benefits, please click herejobs.walgreens.com/benefits.   Walgreens will provide applicants in other states with information related to the positions, to the extent required by state or local law, by calling 1-866-967-5492.


Data Scientist Consultant

Objective
Nonprofit organization DataKind is requesting proposals from junior and mid-level data scientists.
Context
DataKind is a global nonprofit dedicated to harnessing the power of data science and artificial intelligence (AI) in the service of humanity. DataKind matches skilled volunteers from academia and industry with visionary changemakers, collaboratively designing innovative solutions to tough social challenges.
People are at the center of our process: DataKind follows human-centered design principles that focus on questions such as “why?”, “for whom?” and “should we?” before we get going on the “what?”. We’ll continue our work until all people and all communities can use digital technology for the outcomes they want to see, with an emphasis on including those who have historically been excluded from the technology sector or will be impacted by the intervention.
Engagement Description
The Data Scientist Consultant will be responsible for the following in addition to any other projects assigned by their manager:

Help manage data science and business intelligence products hosted by DataKind.
Advance data science solutions beyond prototype phase.
Carry out feasibility studies and exploratory analyses for proposed new projects and areas of opportunity.
Provide data science support for the portfolio of volunteer data science projects at DataKind.
Advance internal analytics reporting and automation capabilities.

This is a 6-month engagement (from mid October 2022 through April 2023), full-time remote role (40 hours/week). The consultant should be willing to work a flexible schedule to meet on some nights or weekends with volunteer teams or to help run DataKind events.
Compensation
$75 - $150/hour
Based on the candidate’s level of experience.
Qualifications

At least 3 years of data science work experience, preferably including experience in a nonprofit or start-up context.
Experience in machine learning/AI with confidence in applying, tuning and evaluating a wide variety of AI algorithms, from logistic regression and random forests to deep learning.
Fluency in Python, SQL, github, NLP, data visualization.
Desired experience in Tableau, Docker, Airflow, Databricks, R, DBT, Great expectations, AWS, Azure, user interfaces.
Comfort and skilled in communicating highly technical information to semi- and non-technical audiences.

Proven track record of successfully supporting full lifecycle tech/AI projects.

Ability to motivate people to collaborate towards a shared goal, to keep them engaged throughout the process, and to intervene as needed.
Demonstrated customer service orientation that will allow you to represent DataKind well to our volunteers and partners alike.

Proposal
By 9:00am ET on Friday, September 30th, 2022, interested parties are requested to provide the following:

A resume describing relevant professional experience
A cover letter that includes a short description of why you are interested in the position and outlines how your qualifications align with the role
If possible, a relevant work sample that demonstrates your ability to break down complex concepts in a compelling, approachable way. This could be any medium - github profile, thesis, blog post, etc. - and could have redacted information as needed.
Two references (name, phone number, and email address) from similar work, including a brief description of each project scope

We particularly encourage women, people of color, and people holding identities that are underrepresented in technology to apply.
Selection
Strong proposals will be contacted for further discussion. These will be selected based on relevance of past experience and alignment with DataKind’s goals and budget.
DataKind is an Equal Opportunity Employer
Naturally, DataKind is an equal opportunity employer and strongly encourages candidates from underrepresented groups in tech to apply. DataKind does not discriminate on the basis of race, color, gender, disability, religion, national origin, age, sexual orientation, genetic information, pregnancy, or any other protected category.
Applicants must be currently authorized to work in the United States on a full-time basis