Senior Data Scientist Nlp

At Clarity AI, we are committed to bringing social impact to markets. We are a tech company started in 2017, leveraging AI and machine learning technologies to ensure environmental, social and governance dimensions are the focal point of decision making within financial markets.We are now a team of more than 300 highly passionate individuals coming from all over the world. Together, we have established Clarity AI as a leading startup backed by investors and strategic partners such as BlackRock, Deutsche Börse and Softbank who believe in us and share our goals. We have plans to continue growing our teams in Spain, the UK and the US this year so if you would like to join us on this rocket ship, keep reading!What are we looking for?We like data scientists that work with data in a scientific way and that share our passion for bringing social impact to the markets and making a difference. At Clarity you will help develop the “gold standard” to quantify social impact that will be used by investors, consumers and governments: Use state of the art NLP tools, including the latest large language models, to efficiently extract, classify, and generate sustainability information  Working side-by-side with a top-talent team from business and academia. LOCATION: this role can be based in Madrid, Spain, in a hybrid model.As the ideal candidate for the position: >4 years of working experience as a Data Scientist, 2 years experience with NLP You excel at problem solving: Clarifying the nature of a problem and formulating relevant questions. Breaking down a problem into smaller, more manageable parts, creating business value every step of the way. Deciding among possible solutions in a critical way. Implementing actions and evaluating outcomes in a quantitative way.   You have strong communication skills. The right candidate can thrive in an environment of asynchronous conversation, since a part of the Clarity team is based outside Europe. We expect you to have strong communication skills and be able to create working relationships with coworkers across various locations. You possess and know how to share technical expertise: Practitioner of modern NLP tools and techniques for classification, extraction, summarization, regression etc Proficiency in standard tools Preferred Python and its data science ecosystem (spacy, nltk, Hugging Face, OpenAI, etc). SQL and noSQL databases   and techniques: Data processing and cleaning Working with limited labeled data and humans in the loop Fine tuning and stacking of models Regression, classification, clustering and other standard algorithms.   Bonus points if you have experience in Deploying big data technologies like Spark or Dask Using pipeline orchestration tools like Airflow Work experience in a software company / using software best practices in your day-to-day work     You have a start-up way of working: Self-motivation and drive to succeed. Getting-the-job-done mentality. Learn by doing, all the time.   Authorized to work in Europe / UK Responsibilities of the role include You are expected to expand the technical expertise of our current NLP team.  You will share that expertise by both providing technical guidance to the team and mentoring junior members. Day-to-day, you will have freedom to research, design, validate, and deploy NLP models to improve our current NLP systems. - WHAT WE OFFER:People are one of Clarity’s main assets. We have built a unique team and we all share 3 differential aspects: Excellence, Passion and Values. The team comprises professionals from leading consulting and banking firms, MBA graduates from top business schools, entrepreneurs and researchers and PhDs. Clarity’s Founder and CEO, Rebeca Minguela, is a successful entrepreneur who has been recognized as one of the most distinguished leaders under the age of 40 by prestigious institutions like the World Economic Forum. We are different. We work hard to become the best place to work and pride ourselves on our culture: Fact based: Promoting objective, fact-based and solution-oriented discussions. Diverse: Encouraging diversity of personalities, cultures and experiences. Transparent: Communicating feedback transparently, constructively and in real-time. Meritocratic: Striving for excellence and rewarding the best. Flexible: Working flexibly in the broadest sense (schedule, location, vacation, styles). We care about our employees. We think that every effort has to be rewarded and want them to feel comfortable with us. ESOP/ Phantom stock: We want our employees to really feel part of Clarity. That’s why we give them the opportunity to participate in our success with ESOP or phantom stock options. Training budget: Continued learning is important to us so we provide everyone with a yearly training budget. Amazing office in Madrid: We are located at Paseo de la Castellana 43 28046 Madrid Floors 5th and 6th floors. We are a US company with a Spanish and London subsidiary. We have offices in NY, London, Abu Dhabi and Madrid, and a remote culture.Our investors believe in us and share our goals. We are a leading startup thanks to public and private funding.Clarity has received several awards: Young Global Leader to Rebeca Minguela 2017. Top 10 Fintech startup worldwide by BBVA Open Talent. Top 2 start-ups with impact worldwide by IMPACT Growth 2017. One of the most innovative Spanish companies by NeoTec. One of the most innovative projects in the US. Harvard Innovation Lab.


Data Scientist

This role is fully remote but working hours must overlap with typical working hours (9am-5pm) in the East Africa timezone by at least 4 hours a few times per week.
About the Field Data team
As we scale to reach millions of people experiencing extreme poverty, we believe that data can transform cash delivery by:

Improving recipient experience
Increasing operational efficiency
Mitigating risk
Conveying our impact to donors

To realize this vision, we are building a best-in-class data team focused on cash delivery: operations, payments, and recipient safeguarding.
You will be the Field Data team’s first Data Scientist, reporting to the Senior Data Manager and working closely with the Senior Data Architect. This is an opportunity to join at the inception of the team and guide foundational decisions regarding vision, priorities, and best practices. We are a small (but growing) group with a startup mentality, applying engineering best practices and a product development approach to data.
Our data infrastructure is built on AWS and Databricks, with dashboards and visualizations in Tableau. We primarily use SQL, Python, and R.
About this role
You will deliver insights and decision making tools that help shape cash delivery by determining which projects we take on, how we design them, and how we implement them.
Responsibilities include:

Statistical analysis and predictive modeling. Own process end-to-end: implement statistical methods and build, train, and deploy predictive models to solve problems in cash delivery utilizing code (e.g., Python, R). Current priorities:

Targeting. Implement and improve existing machine learning algorithms predicting poverty level from call-detail records (CDR) and geospatial data. This work enables us to remotely identify eligible recipients at scale, and has been highlighted in WIRED with findings published by our research partners in Nature.

Risk prediction. Develop new risk prediction models that help us design programs and target recipient outreach to keep recipients and communities safe.

Support data quality assurance. Work with the Senior Data Architect to design processes that ensure key metrics, models, and analysis are built on high quality data.

Communication. Collaborate with leaders throughout the organization to define data product requirements, educate them about solutions, and make recommendations.

This role has a high degree of autonomy and the ability to shape our process from the ground up by determining best practices and informing the data product roadmap.

Reports to: Senior Manager, Data
About you
You are an analytical problem solver who knows how to:

Frame a testable question from ambiguous requirements
Gather, clean, and manipulate the required data
Deliver answers that directly inform important decisions

You deliver results that impact real-world outcomes by:

Solving for user needs and constraints
Understanding when to build complex models and when simpler solutions are more appropriate
Communicating takeaways clearly

You are intellectually curious and humble. You think probabilistically and measure the uncertainty of your predictions.
You are a mid-level to Senior Data Scientist with the following qualifications.
Required qualifications:

5+ years experience working with data querying languages (e.g., SQL) and statistical modeling software (e.g., Python, R)
5+ years experience as a Data Scientist or related position applying statistical and/or machine learning (ML) techniques, with a deep understanding of the key parameters that affect their performance
Deep understanding of ML algorithms – ability to apply the appropriate methods, as well as benchmark and diagnose predictions to rapidly improve performance
Proficient in spark, dask, and/or other packages for distributed computing
Ability to travel and deploy to international, on premise locations for up to 1 month at a time

Preferred but not required qualifications:

Bachelor's degree in a STEM or other quantitative field

Helpful qualifications (we do not expect you to have all of these):

Advanced degree in a STEM or other quantitative field
Experience analyzing call-detail records, geospatial (e.g., ArcGIS or Python geospatial stack), and/or social network data
Experience developing an end-to-end machine learning pipeline with a scalable ML framework (TensorFlow, Torch, H2O, Spark MLib, scikit-learn)
Familiarity with cloud-based solutions (AWS, GCP etc.) for storing and processing large, terabyte-scale, datasets
Familiarity with poverty measurement methodologies – e.g., geographic poverty, poverty proxies, common administrative data sources, household survey data
Experience building dashboards and visualizations, preferably in Tableau
Experience mentoring and developing teams of Data Scientists

Level and Compensation
At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to ensure that staff’s total compensation package (base compensation + bonus)  falls within the 75th percentile of similar roles, at similar organizations. We also have a no negotiation policy to ensure we are paying staff equitably across roles.
Data Scientist:

The United States base salary for this role is $130,000 with a 10% bonus index.
The Kenya base salary for this role is $72,000 with a 10% bonus index.
For non-US and non-Kenya candidates, the salary for this role will be adjusted based on cost of living and the local labor market. A benchmark for your location will be shared during the interview process.

For exceptionally experienced candidates we are open to considering a Senior Data Scientist role for this posting. Both positions will start as independent contributors with the potential to manage if the team grows.


Senior Data Scientist Research Software Engineer

The Eric & Wendy Schmidt Center for Data Science & Environment at Berkeley (DSE) is in search of 2 Senior Data Scientist / Research Software Engineers who are excited to lead the technical development of the new center. Schmidt DSE Senior Engineers will play a critical role in developing and delivering on all technical aspects of our given project efforts. As an experienced data scientist / research software engineer, you are excited to work with interdisciplinary teams and to help grow our program from the ground floor. You have a passion for designing and implementing technical solutions, and you would be excited to see your work have an impact on the challenges facing our environment.
Candidates who would like to be considered for both senior and non-senior levels for this position are encouraged to submit applications to both openings.
To apply to this position, please visit the UC Berkeley Jobs site and follow the instructions for Senior Data Scientist / Research Software Engineer (6028U) - #46361(link is external).
About Us
The DSE combines the power of computing and environmental science with open science principles and a commitment to inclusivity—all towards the purpose of building tangible, replicable, and accessible solutions to problems compromising the health of our environment. We aim to co-create these solutions in direct partnership with those who hold the knowledge and expertise of their local needs and environmental context.
The Center aims to contribute to the global community who are similarly working to take on these challenges in four key areas:
Generating ground-breaking computational/data science discoveries motivated by pressing environmental questions;
Producing scalable solutions to critical threats facing the environment, powered by open-source tools;
Deploying these solutions widely, taking advantage of modern cloud infrastructure and open data/open software, and maintaining a design philosophy of vendor neutrality to ensure that community needs are prioritized;
Creating an enhanced pipeline of young environmental leaders connected to local communities and organizations to meet their needs and translate our research findings and technological developments into practical impacts.
Primary Responsibilities
Applies advanced research and development expertise to plan, design, develop, modify, debug, deploy and evaluate data enabled computational tools that address environmental challenges.
Leverages existing open source applications where applicable and develops and contributes new code and features when current applications are insufficient.
Understands how to evaluate all technical options, decide the best path forward, and develop upon the chosen path both as a contributor and as a technical leader guiding additional research engineers.
Works with research communities and users to develop, implement, and optimize computational and data analysis/analytics software/tools/algorithms/research codes with broad applicability.
Iteratively designs new code and functionality while concurrently testing with a variety of potential users to understand use cases and improve the applications.
Works with environmental domain experts to ensure that the applications being developed accurately represent the science behind them.
Understands and applies advanced research and development practices, open source programming principles, community standards and department policies and procedures.
Serves as technical lead for research and development projects of moderate to broad Scope.
May represent the organization as part of a team at national and international meetings, conferences and committees.
Qualifications
Advanced knowledge of data science/research software development.
In depth skills and experience in independently and collaboratively resolving complex computing/data problems.
Demonstrated ability to communicate technical information to people with various backgrounds both technical and non-technical and to external audiences.
In depth experience assessing a broad spectrum of technical and research needs to establish priorities, delegate and/or lead development of solutions.
Demonstrated research and technology project leadership and management skills.
Experience or interest in developing applications with environmental impact.
Education
Bachelor's degree in related area and / or equivalent experience / training required. Master's or PhD degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization preferred.
Location
Ability to work at the DSE collaborative space on UC Berkeley campus, with flexibility in terms of timing, preferred, though fully remote candidates will also be considered.
Contact
For any questions, please reach out to dse@berkeley.edu(link sends e-mail).
Applications
To apply to this position, please visit the UC Berkeley Jobs site and follow the instructions for Senior Data Scientist / Research Software Engineer (6028U) - #46361(link is external)


Data Scientist Research Software Engineer

The Eric & Wendy Schmidt Center for Data Science & Environment at Berkeley (DSE) is in search of 2-3 Data Scientist / Research Software Engineers who are excited to work with interdisciplinary teams and to contribute to a program's technical needs. Schmidt DSE Engineers will play a critical role in developing and delivering on all technical aspects of our given project efforts. You have a passion for helping to develop and implement data-enabled solutions, and you would be excited to see your work have an impact on the challenges facing our environment.
Candidates who would like to be considered for both senior and non-senior levels for this position are encouraged to submit applications to both openings.
To apply to this position, please visit the UC Berkeley Jobs site and follow the instructions for Data Scientist / Research Software Engineer (6104U) - #46408(link is external).
About Us
The DSE combines the power of computing and environmental science with open science principles and a commitment to inclusivity—all towards the purpose of building tangible, replicable, and accessible solutions to problems compromising the health of our environment. We aim to co-create these solutions in direct partnership with those who hold the knowledge and expertise of their local needs and environmental context.
The Center aims to contribute to the global community who are similarly working to take on these challenges in four key areas:
Generating ground-breaking computational/data science discoveries motivated by pressing environmental questions;
Producing scalable solutions to critical threats facing the environment, powered by open-source tools;
Deploying these solutions widely, taking advantage of modern cloud infrastructure and open data/open software, and maintaining a design philosophy of vendor neutrality to ensure that community needs are prioritized;
Creating an enhanced pipeline of young environmental leaders connected to local communities and organizations to meet their needs and translate our research findings and technological developments into practical impacts.
Primary Responsibilities
Plans, designs, develops, modifies, debugs, deploys and evaluates data science/computational science research software and technologies.
Analyzes existing software, scientific codes, data science/analytics codes/algorithms related hardware or works to formulate logic for new systems and devises algorithms.
Works closely with Program Manager, Senior Research Software Engineers and the program team to develop data-enabled software solutions to a given environmental challenge.
Understands and applies open research and development practices, community standards and department policies and procedures relating to work assignments.
Works both independently and in collaboration with the program team and stakeholders to design and implement technical solutions to environmental challenges.
Documents usage modes, capabilities, characteristics and performance of research codes/software.
Publishes and presents, based on research and development work, results about data science techniques and tools, performance and algorithm enhancement in research venues to attract usage from domain science communities, or to promote latest technologies within the community.
Qualifications
Intermediate knowledge of data science/research software development.
Advanced skills, and demonstrated experience associated with deployment of data science applications and tools.
Demonstrated ability to regularly interface with management.
Demonstrated ability to contribute research and technical content to program outputs.
Demonstrated effective communication and interpersonal skills.
Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences.
Proven skills and experience in independently resolving broad computing/data problems using introductory and/or intermediate principles.
Self-motivated and works independently and as part of a team.
Able to learn effectively and meet deadlines.
Proven ability to successfully work on multiple concurrent projects.
Proven ability to understand research computing/data needs, mapping use cases to requirements and how systems/software/infrastructure can support those needs and meet the requirements.
Demonstrated ability to develop and implement such solutions.
Demonstrated experience and ability to collaborate effectively with all levels of staff; technical, students, faculty and administrators
Bachelor's degree in related area and/or equivalent experience/training.
Education
Bachelor's degree in related area and / or equivalent experience / training
Location
Ability to work at the DSE collaborative space on UC Berkeley campus, with flexibility in terms of timing, preferred, though fully remote candidates will also be considered.
Contact
For any questions, please reach out to dse@berkeley.edu(link sends e-mail).
Applications
To apply to this position, please visit the UC Berkeley Jobs site and follow the instructions for Data Scientist / Research Software Engineer (6104U) - #46408(link is external).


Research Data Scientist

EcoHealth Alliance seeks a Research Data Scientist to work closely with our computational science team on reproducible research in disease ecology and forecasting. This is a key position at a rapidly growing NGO with diversely funded scientific research programs around the world focused on conservation and zoonotic disease emergence.  The position will work on multiple projects, developing forecast models for disease spread via travel and trade, early-stage outbreak forecasting, and early warning signals of disease emergence.
EcoHealth Alliance uses a reproducible data science tool stack that includes, R, targets, tidyverse and tidymodels, git/GitHub, , GitHub Actions, AirTable, Open Data Kit, Dolt, and Stan. We build interpretable models, using frequentist and Bayesian methods, generalized mixed linear and additive models, and machine-learning models such as boosted and Bayesian additive regression trees.  A successful candidate will have experience with some of these tools and methods and/or equivalents, and a demonstrated ability to learn and adopt new tools.
This position is based in New York City with a remote (including international) option.  Visa sponsorship and moving expenses are available for hires to move to work primarily in-office. Remotes hires must be available to collaborate with team members via email, chat, and video calls during US EST business hours and be available as needed to coordinate with collaborators in other international time zones. The position will require regular travel to the New York office several times per year for a remote candidate.
Description and Responsibilities
Reporting to the Senior Data Scientist and Principal Scientist, the Research Data Scientist will :
Build machine-learning models using frequentist and Bayesian methods for insight, prediction, and use in production
Analyze, visualize, and summarize complex, high-dimensional data and model outputs to extract insights and trends and communicate these to diverse audiences
Build reproducible pipelines for data collection, processing, and quality control
Support the development of internal and open-source R packages and tools
Produce high-quality data visualizations and written reports/manuscripts on data science and modeling project outputs, targeting audiences with a wide range of technical knowledge
Work with EcoHealth Alliance scientists to develop new scientific research projects and research proposals on pandemic preparedness and emerging disease ecology
Engage openly and respectfully with EcoHealth Alliance scientists and partners across multiple projects as required and at all project stages, from development to implementation to publication/communication
Present work and represent EcoHealth Alliance at conferences and scientific meetings and in outreach to current and potential collaborators, donors, and other audiences
Perform other tasks as assigned by supervisor
Qualifications
Minimum Qualifications
Master’s degree or PhD in data science, statistics, ecology, epidemiology, or a related field, or B.A. or B.S. and 3+ years relevant experience. Data science or programming “bootcamp” training will be considered with sufficient experience
Strong R programming skills, including processing high-dimensional data (including geospatial data), producing reproducible reports (R Markdown/Quarto), developing automated pipelines (targets/drake/make), visualization, and writing R packages
Experience applying machine learning techniques to answer research questions
Experience with version control (git) and command-line tools.
Demonstrated ability to self-teach new methods and tools
Strong project management skills, including proven ability to work independently and manage multiple projects and deadlines while working with multiple teams
Excellent interpersonal and written and verbal communication skills, including the ability to document methods and results and communicate effectively with colleagues
Positive attitude towards solving complex problems
Strong sense of team spirit and cultural sensitivity
Fluency in English
Additional Desired Qualifications
Experience in Shiny app development, development of interactive dashboards
Experience in the processes of reproducible and open scholarly research
A record of scientific publications
Compensation will be $70,000 - $80,000 USD annually, commensurate with skills and experience.
At EcoHealth Alliance, our vision is a workplace with a diverse and talented staff where people want to come, to stay, do their best work, and grow. We recruit, employ, train, compensate and promote our staff without regard to race, ethnicity, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or socioeconomic status. EcoHealth Alliance offers a competitive salary and a comprehensive benefit package including health, dental, and vision coverage, and a 403(b) pension plan. EcoHealth Alliance is proud and deeply committed to being an equal opportunity employer.
How to Apply:
Please apply via the form below (found at https://www.ecohealthalliance.org/career/research-data-scientist-2023 if you found this post elsewhere). You will be asked to upload a cover letter and a resume or CV as a single PDF document with a filename of the format “FirstName_LastName.pdf”.  Please limit the letter and resume to no more than two pages in length each. Applications will receive an automated message of receipt. Only applicants selected for an interview will be contacted.
Applicants are encouraged to include links to manuscripts, code repositories, online portfolios, and other demonstrations of experience in their cover letter or CV, but public or open-source work is not required. Candidates selected for interviews will be asked to provide examples of analytical work and contact information for three references.
The deadline to apply is January 15, 2023 .
Thank you for your interest in EcoHealth Alliance!


Data Scientist Lead

Data Scientist, Lead
The Opportunity:
Are you a seasoned analytics professional who wants to be at the cutting-edge of data science and artificial intelligence? If you care about leading a mission forward as much as advancing the field of data science, this is the opportunity for you. Your deep data science and machine learning expertise, coupled with an original approach to your work, will guide clients and stakeholders as they make sense of their data and encourage actionable results. We’re looking for someone like you to lead complex data exploration and analytics projects through your experience with the full life cycle of machine learning development and deployment for fraud, waste and abuse, identity theft, risk and other rare event detection.
As an advanced data scientist and researcher on our team, you’ll introduce innovative data science and machine learning methodologies to make a real-world impact on fraud and risk detection You’ll share your skills in predictive modeling and machine learning operationalization and shape the future of analytics through a variety of means like white papers and client presentations.
We’ll keep you sharp and moving forward in your career, with access to online courses and the latest tools and methods. Whether you’re or building models to detect identity theft or helping prevent improper you’ll lead a team that serves critical missions from end to end. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.
Join us. The world can’t wait.
You Have:
4+ years of experience with data science, machine learning, data engineering, or data analyticsExperience with the full life cycle of machine learning development and deployment, including gathering requirements, identifying data, preparing data, building, validating, and using deployable predictive models with the usage having in tangible resultsExperience with providing technical direction and leadership to data science teams, including analytic ad hoc requestsExperience in working with and presenting to nontechnical clients who do not have a lot of expertise in data science or machine learningExperience with business development, technical leadership, product management or product ownership, or client facing project workKnowledge of the landscape of technology capabilities around data science or machine learningAbility to work on business development capabilities independently, including proposal and white paper writingAbility to present to clients about firm capabilitiesAbility to obtain a security clearanceBachelor's degree
Nice If You Have:
Experience with developing predictive models around fraud, risk, or rare eventsExperience with cloud AI environments, including Databricks, Azure ML, or AWS SagemakerKnowledge of Agile and Scrum processesAbility to come up with good solutions or plans to deal with client lack of data or technologyAbility to create solutions without having specific business requirementsPossession of excellent verbal and written communication skills
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation:
At Booz Allen, we celebrate your contributions, provide you with opportunities and choice, and support your total well-being. Our comprehensive benefit offerings include healthcare, retirement plan, insurance programs, commuter program, employee assistance program, paid and unpaid leave programs, education assistance, and childcare benefits.
The salary for this position will be determined based on various factors. The proposed salary range for this position in Colorado is $157,250 to $166,500.
Create Your Career:
At Booz Allen, we know the power of analytics, and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you’ll have the chance to:
access online and onsite training in data analysis and presentation methodologies and tools like Hortonworks, Docker, Tableau, and Splunkchange the world with the Data Science Bowl—the world’s premier data science for social good eventparticipate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government
You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, on-site boot camps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success.
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.


Data Scientist

Data Scientist
The Challenge:
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors from fraud detection to cancer research, to national intelligence, you know the answers are in the data.
We have an opportunity for you to use your analytical skills to improve the government's advanced analytics capabilities. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll develop algorithms, write scripts, build predictive analytics, apply machine learning and deep learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help drive innovation, research, and development for our military and government leaders to make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.
Join us as we use data science for good in bringing decision support and innovation to our clients.
Empower change with us.
You Have:
1+ years of experience with data science, data analytics, systems engineering, and machine learning engineering within an academic, professional, or internship environmentExperience with programming languages, including Python, C++, Java, or RExperience in working with structured, unstructured, or semi-structured data and conducting analysisExperience with data wrangling techniques to cleanse data for data science applicationsKnowledge of the software development life cycle, testing, and version controlAbility to obtain a security clearanceBachelor's degree
Nice If You Have:
Experience with distributed programming languages, including Spark or ScalaExperience with building statistical models and developing machine learning algorithms, including supervised, unsupervised, or reinforcementExperience with data engineering and data science tools, including Databricks, ElasticSearch, Apache NiFi, or StreamSetsExperience with business intelligence tools, including Tableau or QlikExperience with data lakes, data warehouses, or data lake housesExperience with cloud services, including AWS, Azure, or Google CloudExperience with enterprise DataOps, DevSecOps, and MLOps processes to operationalize and monitor data science modelsExperience with CI/CD, including Git, Jenkins, and DockerPossession of excellent verbal and written communication skills
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation:
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full time and part time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs, individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.
Salary for this position is determined by various factors, including but not limited to, location, the candidate’s particular combination of knowledge, skills, competencies and experience, as well as contract specific affordability and organizational requirements. The proposed salary range for this position is outlined below.
Colorado: $70,600 - $147,300 (annualized USD)
New York (including New York City): $75,000 - $180,100 (annualized USD)
Build Your Career:
At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you’ll have the chance to:
access online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunkchange the world with the Data Science Bowl—the world’s premier data science for social good competitionparticipate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government
You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, on-site boot camps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success.
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.


Jr Data Scientist

*This role is remote but you are required to come in to present data findings as needed*
Role: Jr. Data Scientist
Department: Technology
What Sets Us Apart
At UMortgage, we have a customer-centric, service-based approach. We primarily focus on home purchases, providing an emphasis on consumer education, real estate agent relationships, and a personalized experience for home buyers. Our goal is to empower our team members to provide a best-in-class experience at all times while prioritizing long-lasting relationships.
What We Need
We are looking for an analytical, personable, and confident Data Scientist to join our Technology Team. As a Data Scientist, you will use your problem-solving skills and creativity to analyze data to help build predictive models, and design and implement analytics products. The ideal candidate will be a self-starter with an eagerness to learn and improve processes. Ready to join the team? Apply Now!
What You’ll Do
Analyze data, as well as contribute to the design, implementation, and delivery of analytics products and services.Build predictive models, tools, and data visualizations.Check data and modeling results for quality and clean, transform, aggregate, and report on data as needed.Conduct exploratory analysis including hypothesis testing, statistical inference, and statistical analysis (predictive and/or prescriptive)Provide support in mining datasets in conjunction with information analysis tools such as Python/SQL and using databases in a business environment with large-scale, complex datasets.Collaborate with engineers, program managers, and external stakeholders to troubleshoot problems and proactively create solutions.Give presentations on findings, and new reports/data trends to executives and other stakeholders.Maintain a high degree of customer satisfaction through the implementation, investigation, analysis, training, and relationship-building efforts.Additional responsibilities related to business needs.
What You Need
Bachelor’s Degree in Data Science, Engineering, Computer Science, Mathematics, Statistics, and Actuary Sciences preferred.A minimum of 2 - 3 years of professional experience in a data-focused roleStrong knowledge in Python and libraries within (TensorFlow SciPy, NumPy, Pandas, Matplotlib/Seaborn, Pytorch, scikit-learn)Ability to confidently communicate verbally and in writing in a presentation setting. Ability to be adaptable and flexible in a fast-paced environment.Understanding and System knowledge within Power BI, RDBMS, Jupyter notebook, and Version Control
Physical Requirements
The physical requirements described here are representative of those that must be met by an employee in order to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Must be able to stand, sit, and walk for extended periods of time
Includes frequently reaching with hands and arms, and using hands to handle and feel
Requires close vision, distance vision, peripheral vision, color vision, depth perception, and ability to adjust focusMust be able to perform activities with repetitive motionsMust be able to work in an environment with variable noise levels


Principal Data Scientist Healthcare

About ClosedLoop:

ClosedLoop.ai is healthcare’s data science platform. Purpose-built and dedicated to healthcare, we make it easy for healthcare organizations (HCOs) to use AI to improve outcomes and reduce costs. Our platform combines an intuitive end-to-end machine learning platform with a comprehensive library of healthcare-specific features and model templates.
We’re the leader in delivering unbiased accuracy and explainable AI healthcare solutions. Regardless of whether our customers have extensive data science teams or are just starting out, our products are engineered to help them harness the power of AI to improve patient outcomes, achieve clinical excellence, and enhance business success.
What sets us apart is our commitment and ability to deliver AI solutions at-scale in healthcare. We’re ready to help change the world. Are you? Come join us!
About the Role:
ClosedLoop is looking for a senior, customer-facing Principal Data Scientist to build and deploy predictive models for our healthcare customers. As a Principal Data Scientist, you will mentor, teach and coach other data scientists on the team. ClosedLoop data scientists utilize our platform and work alongside our customer’s data science teams to deliver machine learning models into real world healthcare settings. In addition to ensuring the quality of the models, you will also help customers understand how to integrate those models into their processes and to measure the effectiveness of the models in production.
What you'll do:

Building predictive models on healthcare data using the ClosedLoop platform.
Work with customer teams to ensure that models are deployed and integrated into real world decisions.
Cleaning and vetting of a wide variety of healthcare data (claims, medical records, labs, ADT, etc) using the ClosedLoop platform.
Train and educate customer data scientists on best practices for data science in healthcare.
Create presentations and present model results to both technical and non-technical audiences
Make suggestions and provide commentary to the product management and engineering teams on how to improve the platform.

What you'll bring:

Bachelors or higher in Computer Science or related experience
5+ years of engineering experience with Python
Prior experience with healthcare data science required
Experience leading, coaching and mentoring other data scientists
Prior experience working in a customer facing consulting position
Understanding of machine learning and statistical analysis

Why ClosedLoop:

Competitive salary
Equity
100% company-paid health insurance for medical, dental, and vision for employees and their families
HSA & FSA options
Short & long-term disability
Life insurance
401k plan
Flexible PTO
Parental leave
Remote work

Employee Testimonials:

"Exciting place to work! - Company has a great vision for the role of machine learning (and AI) in healthcare. Exciting to go to work every morning!"
"Work Hard and Feel Rewarded - The CEO and CTO have total faith in their team, and the employees ideas and opinions are highly respected and listened to. The passion for our company's mission is contagious from the executive team, which makes our high standards fair and rewarding."
"Room to thrive"
"Passionate People, Supportive Environment, & Strong Vision"


Senior Data Scientist

Senior Data Scientist

About AllTrails

AllTrails is the most trusted and used outdoors platform in the world. We help people explore the outdoors with hand-curated trail maps along with photos, reviews, and user recordings crowdsourced from our community of millions of registered hikers, mountain bikers, and trail runners in 150 countries. AllTrails is frequently ranked as a top-5 Health and Fitness app and has been downloaded by over 40 million people worldwide.

Every day, we solve incredibly hard problems so that we can get more people outside having healthy, authentic experiences and a deeper appreciation of the outdoors. Join us!

 What You’ll Be Doing:

Building statistical and machine learning models that will be pushed into production systems, at-scale
Identifying unique solutions in which data can be transformed and applied into actionable solutions and new product features that drive revenue for the organization
Partnering with teammates and product managers to develop robust solutions to highly specific technical challenges
Identifying technical and strategic gaps in our data science infrastructure and proactively driving best-in-class solutions
Presenting work to a large variety of stakeholders

Requirements:

5+ years of work experience in data science.
B.S. or M.S. degree in data science, machine learning, mathematics, or equivalent practical experience.
Proficiency with Python and SQL
Solid understanding of basic machine learning concepts (e.g. clustering, regression, classification) and a curiosity to learn and apply more complex techniques (neural networks)
Experience with the end-to-end machine learning lifecycle (data cleaning, feature extraction, training/testing, model evaluation, optimization, deployment, etc.)
Experience with scaling models in a production environment
Experience working collaboratively on shared codebases using Git
Experience in iterative exploratory notebook development (Jupyter, Hex, etc.)
Comfort in reading highly technical research papers and translating learnings into effective prototypes
Strong attention to detail, analytical, and a problem solver with a keen insight for asking the right questions and building solutions to drive direct business value
Expert communication skills, including the ability to persuade and inspire, a knack for breaking down complex concepts, and a proactive attitude towards knowledge sharing and documentation

Bonus Points:

Professional experience implementing or working with geospatial trajectory (GPS / GIS) data, recommendation engines and personalization, NLP, and/or computer vision
Experience with modern Data Warehouses like BigQuery, Redshift, or Snowflake
Experience with transformation tools like dbt or Dataform
Experience with best practices in data engineering and software development lifecycles

Our Commitment to You:

A competitive and equitable compensation plan. This is a full-time, salaried position that includes equity
Physical & mental well-being including health, dental and vision benefits.
Trail Days: First Friday of each month off to hit the trails!
Unlimited PTO
Flexible parental leave
Remote employee equipment stipend to create a great remote work environment
Annual continuing education stipend
Discounts on subscription and merchandise for you and your friends & family
An authentic investment in you as a human being and your career as a professional

Nature celebrates you just the way you are and so do we! At AllTrails we’re passionate about nurturing an inclusive workplace that values diversity. It’s no secret that companies that are diverse in background, age, gender identity, race, sexual orientation, physical or mental ability, ethnicity, and perspective are proven to be more successful. We’re focused on creating an environment where everyone can do their best work and thrive.


Senior Data Scientist

The Data Science team builds production machine learning models that are the core of Signifyd's product.
We help businesses of all sizes minimize their fraud exposure and grow their sales. We also improve the e-commerce shopping experience for individuals by reducing the number of folks' orders that are incorrectly declined and by making account hijacking less profitable for criminals.
The team has end-to-end ownership of our decisioning engine, from research and development to online performance and risk management.
We value collaboration and team ownership -- no one should feel they're solving a hard problem alone.
Together we help each other develop our skills through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing through live demos, write-ups, and special cross-team projects.
The Data Science and Engineering teams at Signifyd have always had a strong contingent of remote folks, individual contributors and team leads. The challenges of working remotely aren't new to us and we strive to iteratively improve our remote culture.
How you'll have an impact:

Build production machine learning models that identify fraud
Write production and offline analytical code in Python
Work with distributed data pipelines
Communicate complex ideas to a variety of audiences
Collaborate with engineering teams to strengthen our machine learning platform

Past experience you'll need:

A degree in computer science or a comparable analytical field
4+ years of post-undergrad work experience required
Building production ML models
Using visualizations to communicate analytical results to members outside your team
Hands-on statistical analysis with a solid fundamental understanding
Writing code and reviewing others' in a shared codebase, preferably in Python
Practical SQL knowledge
Designing experiments and collecting data
Familiarity with the Linux command line

Bonus points if you have:

Previous work in fraud, payments, or e-commerce
Data analysis in a distributed environment
Passion for writing well-tested production-grade code
A Master's Degree or PhD

Check out how Data Science is powering the new era of Ecommerce
Check out our Director of Data Science featured in Built In
#LI-Remote
(Colorado and New York City only*) Minimum salary of $125,000+ bonus + equity + benefits. Our salaries are determined by role, level, and location. The salary minimum displayed on each job posting reflects the minimum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Benefits in our US offices:

4-day workweek
Discretionary Time Off Policy (Unlimited!)
BetterHelp Online Therapy Membership
Dedicated learning budget through Learnerbly
401K Match
Stock Options
Annual Performance Bonus or Commissions
Paid Parental Leave (12 weeks)
Health Insurance
Dental Insurance
Vision Insurance
Flexible Spending Account (FSA)
Short Term and Long Term Disability Insurance
Life Insurance
Company Social Events
Signifyd Swag


Data Scientist

At Wasabi, we’re a proven collection of pioneers, visionaries and disruptive doers. We see things differently than our competitors, and we make our mark in the industry by challenging the norm and delivering the unexpected and improbable. We’re a fast-growing company taking the Cloud Storage industry by storm and recognized as one of the best places to work in Boston.

Wasabi hot cloud storage is a new class and category of cloud storage, breaking all traditional barriers and boundaries of storage with a disruptive value proposition of being 1/5th the cost of AWS S3, faster than the competition, with no fees for egress or API request and delivered as a single-tier solution. Cloud storage has never been so simple, so fast and so inexpensive. It’s all part of our vision to make cloud storage the next great global utility, just like electricity.

Role Description: Data Scientist

Role Purpose:
The Data Scientist will be an integral part of the Finance Operations team, which is responsible for providing insightful analysis across the company to ensure the company is meeting its intended goals. This role reports to the Chief Financial Officer.

#LI-Remote

Responsibilities:

Build models to understand and predict metrics like user growth, future revenue, conversion, churn, and more.
Manage recurring revenue (MRR/ARR) calculations, retention analysis and pipelines.
Focus on uncovering critical insights and delivering models to leverage those findings thus powering intelligent business decisions.
Create, manage and improve KPI dashboards for all departments.
Collaborate with leadership, sales, finance, product, engineering, operations and marketing teams to identify, and optimize revenue enhancing opportunities.
Drive measurable business value and communicate the results to technical and non-technical stakeholders.
This person will be managing a Business Analyst as part of their responsibilities.

Requirements:

5-7 years’ experience working as a data scientist partnering with finance, business operations, and/or sales teams.
Experience with MRR/ARR and retention analysis at a SaaS/recurring revenue company.
Intermediate/Advanced Proficiency (or at least 2-5 years expertise) in at least one scripting language (ideally Python or R).
A strong understanding of statistics, including regression and predictive modeling.
Strong proficiency in writing complex SQL queries, manipulating data, and common Python data science libraries (such as scikit-learn, etc.) and generate dashboards in Tableau.
Concentration in mathematics or similar, including statistics, and programming, business intelligence/analytics, as well as data science tools (such as Hadoop, Elastic Search) and research using large data sets.
Excellent verbal and written communication skills to guide and make recommendations to technical and non-technical business users.
Bachelor of Science with a major in Statistics, Computer Science, Decision Sciences, Quantitative Methods, Applied Mathematics or similar quantitative field of study.

Wasabi Technologies is an Equal Opportunity Employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.


Manager Data Science

About This Role
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
Responsible for providing thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. The role will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary. Manages a team of high performing quantitative analysts and will be responsible for ensuring the team stays motivated and engaged. Manages team performance, coach and develop employees and hire the right talent. In addition, this individual will identify, prioritize, and supervise the team to flawlessly execute on initiatives.
Responsibilities
Provides thought leadership & strategic thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights. Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics, and machine learning algorithm & recommendation to solve business problems. Manages priorities and sets of analysts, assign projects and allocate resource, communicate business performance and project progress to management & business partners. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis. Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, propose, design, and implement tests to drive strategy enhancement and optimization. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information. Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitates implementation of work product and ensure accuracy. Recommends improvement to work processes to increase efficiency while maintaining quality of work. Consistently follow standard work processes and documentation requirements. Continuously improve technical and leadership skills through training and development.
Minimum Qualifications
At a minimum, here’s what we need from you:
Bachelor’s Degree in Computer Science, Economics, Engineering, Mathematics, Sciences, or related field 4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, or related field
Preferred Qualifications
If we had our say, we’d also look for:
Master’s Degree in Business, Computer Science, Engineering, Mathematics, Sciences, or related field 6+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, or related field
What are you waiting for? Apply today!
All Discover employees place our customers at the very the center of our work. To deliver on our promises to our customers, each of us contribute every day to a culture that values compliance and risk management.
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.


Principal Data Science

About This Role
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
At Discover, be part of a culture where diversity, teamwork and collaboration reign. Join a company that is just as employee-focused as it is on its customers and is consistently awarded for both. We’re all about people, and our employees are why Discover is a great place to work. Be the reason we help millions of consumers build a brighter financial future and achieve yours along the way with a rewarding career.
Responsible for working closely with management to execute analytical initiatives. Responsible for providing thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. This position will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary.
Responsibilities
Provides thought leadership & strategic thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Facilitate implementation of work product and ensure accuracy. Establishes and maintains effective performance tracking; identifies improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization.Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Lead the development of Analytical capabilities with the aim of creating long-term strategic data/analytics assets for the company.Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs.Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work. Continuously improves technical and leadership skills through training and development.
Minimum Qualifications
At a minimum, here’s what we need from you:
Bachelor’s Degree in Computer Science, Economics, Engineering, Sciences or related field6+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field
Preferred Qualifications
If we had our say, we’d also look for:
Master’s Degree in Business, Computer Science, Engineering, Mathematics, Sciences or related field4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.


Senior Product Data Scientist

At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we work to change the way the world reads by building the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals, and more. In addition to works from major publishers and top authors, our community includes over 1.9 M subscribers in nearly every country worldwide.

Have you heard about our future of work program, Scribd Flex? As a key principle, we embrace flexibility and allow employees, in partnership with their manager, to choose the work-style that best suits their individual needs and preferences. And, we create intentional in-person moments with each other that build culture and connection.

About the Role

The business strategy and analytics team is looking for a driven and innovative Senior Product Data Scientist, to drive both our ads monetization strategy and our creator strategy.  It will require you to both be an advocate for our creators and readers in creating and reimagining what it means to share and consume knowledge as well as tuning our free logged out experience to optimize between value to the reader and value to the business. To succeed, we must be able to help creators get readers and help readers find content from creators. In this critical role, you will lead the reimagining of the product that powers this marketplace. We are looking for a data scientist who thrives on having large ownership over a product 80M people use a month, is comfortable navigating uncharted territories to uncover customer needs and translating that into compelling strategies, and demonstrates excellent ability in creating and executing A/B testing strategy with thoughtfulness and urgency.

You Will:

Alongside the Senior Product Manager for creator and the Senior Ad Tech Product manager you’ll help craft a compelling vision and strategy to drive years of customer and business impact.
Set goals for both ad performance and creator features by focusing on controllable inputs and helping the team ladder that up to company goals like revenue.
Set up our ads reporting strategy in partnership with the business intelligence developer by clearly stating requirements and data pipeline needs.
Do discovery analysis on creator performance, including partnering with user research to tie quantitative findings to qualitative reasons.
Design A/B tests to balance between impact and learnings and analyze the tests to provide a recommendation to the agile squads in direction forward.
	* Ads business will be quick iteration A/B testing
	* Creator A/B testing will focus on learning initially and focus on solving creator centric problems
Continuously monitor progress against our OKRs and make adjustments as new information comes in. Frequent communication with stakeholders on how we’re progressing against our goals, learnings we have, risks we foresee and where we need support from the organization.

You Have:

User empathy to deeply understand what problems our users are experiencing, business acumen to decide which are the right problems to go after, and creative problem solving to deliver innovative solutions to our readers and creators.
Analytical skills to understand how our readers and creators are using our products, features and tests that can inform future strategy decisions.
Technically proficient to cross the aisle with the engineering team to work collaboratively on strategy and execution.
Ability to manage up and across to get alignment and drive influence. We need the support of many teams, including eStaff, to execute on our strategy.
Able to create an energized, high functioning, empowered team that enjoys what they do and who they do it with.

Benefits, Perks, and Wellbeing at Scribd
*Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work.
• Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees
• 12 weeks paid parental leave
• Short-term/long-term disability plans
• 401k/RSP matching
• Tuition Reimbursement
• Learning & Development programs
• Quarterly stipend for Wellness, Connectivity & Comfort
• Mental Health support & resources
• Free subscription to Scribd + gift memberships for friends & family
• Referral Bonuses
• Book Benefit
• Sabbaticals
• Company wide events
• Team engagement budgets
• Vacation & Personal Days
• Paid Holidays (+ winter break)
• Flexible Sick Time
• Volunteer Day
• Company-wide Diversity, Equity, & Inclusion programs

Want to learn more about life at Scribd?  www.linkedin.com/company/scribd/life

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We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process.

Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
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Remote employees must have their primary residence in: Arizona, California, Connecticut, Delaware, DC, Florida, Hawaii, Iowa, Massachusetts, Michigan, Missouri, Nevada, New Jersey, New York, Ohio, Oregon, Tennessee, Texas, Utah, Vermont, Washington, Ontario (Canada), British Columbia (Canada), or Mexico. *This list may not be complete or accurate, and candidates should speak with their recruiter about their specific location for remote work.

 #LI-Remote


Head Of Growth Data Science

ClassDojo's mission is to give every child on Earth an education they love.
We started by building a network that connects teachers, children, and families. ClassDojo’s flagship app is the #1 communication app connecting K-8 teachers, children, and families, globally. They use it to share what’s happening throughout the day through photos, videos, messages, and activities. It is actively used at an unprecedented scale: in over 95% of US schools, reaching ~51 million children in ~180 countries. We are now beginning to use this network to give kids the best learning experiences in the world, far beyond those a standard school can provide.
We hire for talent density. Our team comprises the most talented, entrepreneurial, and innovative teammates from around the world, with deep backgrounds in education and large scale consumer internet, including Instagram, Netflix, Dropbox, Uber, Y Combinator, and more. We’re building a company where the most talented people want to work. We believe you’ll do the best work of your life here—and you’ll pioneer the future of education, too.
What you’ll do:
Data is core to how ClassDojo makes informed choices. As our data science manager of network growth, you’ll help build the world's largest consumer education business, one that is already reaching tens of millions of parents, teachers, and children.
The data science function at ClassDojo is an equal partner to product, engineering, and design. Here you'll build a team that will tackle a broad range of product and business problems: uncovering unique user insights, identifying and testing critical product improvements, and driving direct product results.
You will be a match if:

You have at least 8 years experience in a data science role
You have at least 4 years experience of building high-performing data teams, but you are also highly proficient at diving into data yourself

You might be a good fit if:

You have expert knowledge in driving network growth: you’ve previously driven substantial improvements within product growth teams and you have a strong vision for how a network growth team should operate.
You are a strong strategic problem-solver: you thrive in identifying and refining problems to solve. You have the ability to think about high level about product strategy and you have a vision for how data can help drive that strategy. You contribute to high-level strategic choices with the rest of the product and executive teams.
You are a strong player-coach: you’re a strong coach for your people. You have experience hiring and managing groups of highly-talented data scientists.
You are a strong communicator: you are able to clearly articulate your thinking, verbally and in writing. You proactively share your work, even if it’s still in progress, bringing the team along with you. You have a sharp ambiguity filter, always seeking to clarify what is unclear for yourself and for others.
You get energized by doing “hands-on” work:

You are able to take complicated problems and boil them down to their simplest components
You have the ability to write structured and efficient SQL queries on large data sets
You have experience designing AB/multivariate tests and drawing actionable conclusions

[1] Some more context:
- ClassDojo's 125m Metaverse Mission (Forbes)
- ClassDojo's Second Act Comes with First Profits (TechCrunch) and Sam's note about it.
ClassDojo is committed to a diverse and inclusive workplace. ClassDojo is an equal opportunity employer that does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. ClassDojo will make reasonable accommodations for the known physical and mental limitations of an otherwise qualified individual with a disability who is an applicant or an employee unless undue hardship would result. In accordance with applicable local ordinances, we will consider for employment qualified applicants with arrest and conviction records.


Data Scientist Clinical Research

About Lyra Health
Lyra is transforming mental health care through technology with a human touch to help people feel emotionally healthy at work and at home. We work with industry leaders, such as Morgan Stanley, Uber, Amgen, and other Fortune 500 companies, to improve access to effective, high-quality mental health care for their employees and their families. With our innovative digital care platform and global provider network, 10 million people can receive the best care and feel better, faster. Founded by David Ebersman, former CFO of Facebook and Genentech, Lyra has raised more than $900 million.

About the Data Scientist (Clinical/Research) Role

At Lyra we believe that data-driven technology and decision making is a critical part of solving the thorny, complex challenges of provider quality and accessibility in a broken system.

In this role, you will work with the Clinical Product team to conduct research on the clinical outcomes of Lyra’s programs, which will be published in peer-reviewed journals.

*This role can be full-time in our Burlingame, CA headquarters, OR virtual (remote candidates must be currently located in the United States).

Responsibilities include:

Become an expert in the data we collect and use that data to enable us to create the highest quality product for our clients
Develop comprehensive analyses from diverse data sources to answer questions related to the client care journey
Own the analysis plan and statistical methods of Lyra research publications as a coauthor
Analyze claims data to determine customer impact of investing in mental health
Partner with data engineers to build pipelines that apply clinical logic to raw data
Complete time-sensitive ad hoc data requests for internal and external stakeholders

Qualifying Skills & Experience:

MINIMUM of 2+ years of professional experience in data analysis, preferably in a healthcare industry setting.  Academic/internship experience alone will not qualify.
Demonstrated understanding of statistical applications and methods (experimentation, probabilities, regression)
Graduate level Statistics coursework with MS in a quantitative field preferred (statistics, econometrics, biostatistics, quantitative social sciences).   **Familiarity with clinical / social psychology research methods a plus.
Experience with Python, including cleaning and analyzing data as well as using Python to parse JSON structured data, call APIs, create user-defined functions and automate.
Strong SQL proficiency, including experience writing complex queries with multiple schemas and tables.
Experience working directly on projects the result in published articles in scientific/academic journals
Experience developing comprehensive analyses using diverse data sources.
Willing to self-start, self-teach and research if you don’t know how to do something.
Direct experience (or interest in) public health is a plus.

Diversity & Inclusion

Diversity, equity, inclusion, and belonging (DEIB) at Lyra is essential to the way we deliver culturally responsive care, build and manage our provider network, and support holistic efforts to strengthen DEIB in workplaces around the world—including our own.
People come to Lyra with a range of needs, backgrounds, and abilities that influence their response to mental health support. Our diverse network of providers delivers comprehensive mental health treatment and support rooted in culturally responsive care, a multicultural approach that accounts for the impact of cultural backgrounds on each person’s care experience. Learn more at https://www.lyrahealth.com/diversity-equity-inclusion-belonging/

#LI-REMOTE

We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age (40 or older), disability,  genetic information or any other category protected by law.


Data Scientist

Abacus Insights is a mission-driven technology company focused on transforming the healthcare industry, ultimately creating a more personalized patient experience, improving health outcomes, and lowering the overall cost of healthcare. Abacus Insights provides a flexible, efficient, and secure platform that organizes and exchanges healthcare data from various sources and formats, allowing our customers to uncover differentiated insights that address their clients' needs. In addition, our employees know that they play an active role in keeping our customers' data safe and are responsible for ensuring that our comprehensive policies and practices are met.
With our deep expertise in cloud-enabled technologies and knowledge of the healthcare industry, we have built an innovative data integration and management platform that allows healthcare payers access to data that has been historically siloed and inaccessible. As a result, these payers can ingest and manage all the information they need to transform their business by supporting their analytical, operational, and financial needs through our platform.
Since our founding in 2017, Abacus has built a highly successful SaaS business, raising more than $81 Million by leading VC firms with profound expertise in the healthcare and technology industries. We are solving massive complex problems in an industry ready for disruption. We're building powerful momentum and would love for you to be a part of it!
About the Team & Role:As part of the Analytic Solutions team – the Data Scientist II is a person who uses extensive technical and business knowledge to develop and maintain analytic solutions for prospects and existing Abacus Insight clients. In addition, you will be working closely with all the business leaders by acting in an essential role in bridging the technical and business needs to design solutions and services that inspire our customers and are compelling to the market.
You Will:

Drive innovation and lead the continual development of analytic solutions to expand use of the underlying Abacus data platform; subject areas include provider cost & network analytics, risk adjustment, medical trend, and population health/value-based careDefine key performance and business value metrics incorporated in analytic solutions that measure clients’ operational and financial performance, and highlight the value generated by Abacus
Collaborate with Product, Engineering, Delivery, and Security teams at Abacus
Work closely with Sales team to create strategies that will drive “technical wins” leading to the acquisition of new customers and upsells to existing customers
Maintain professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies
Help to determine customers' needs and desires by working directly with key clients, capability leadership, and specifying the research needed to obtain market information

What we're looking for:

5+ years of experience in the healthcare industry
Highly proficient programming skills in SQL Python, and/or R
Master’s or Bachelor's Degree in Engineering, Business, Statistics, Mathematics, Healthcare, Data Science, or equivalent field
Subject matter expertise in areas of healthcare and clinical data
Strong payer/provider knowledge with hands-on experience in architecting, designing, and developing analytic tools
Proven ability to successfully collaborate with internal stakeholders from various parts of the organization and drive successful outcomes cross-functionally
Strong technical background combined with solid business experience
Ability to manage competing priorities and deadlines
Highly collaborative and with the ability to lead by influence
Familiarity with Cloud Services like AWS, Azure, and data terms – JSON, ETL tools, data mappings, data profiling, SQL, data pipelines entity resolution, data catalog, data governance, data distribution, running or writing simple python scripts
Working knowledge of data architecture fundamentals – data model concepts. analytical vs. operational workloads, latency and performance considerations
Preferably knowledge in machine learning and time-series modeling

Equal Opportunity Employer:As a mission-led technology company helping to drive better healthcare outcomes, Abacus Insights believes that the best innovation and value we can bring to our customers comes from diverse ideas, thoughts, experiences, and perspectives. Therefore, we are dedicated to building diverse teams and providing equal employment opportunities to all employees and applicants for employment. As well as prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
#BI-REMOTE


Senior Data Scientist Economist Demand Forecasting

Wild Thinkers Welcome

Thrasio is a next-generation consumer goods company reimagining how the world’s most-loved products become accessible to everyone. We acquire quality brands and use world-class expertise and data science to make existing products better or create new ones to meet customer needs.

We’ve got huge goals, and every Thrasher plays an integral part in getting us there. That’s why we only bring on people who think positively. Who look out for the team. Who tell their egos to take a hike while they get the job done right.

From the moment you become a Thrasher, we give you the freedom you need to take big swings and push what’s possible to get us there. And if you fail, it’s cool—we know you’ll grow spectacularly. What matters is that you’re helping impact millions of people around the world who use our products everyday.

Because with every new spatula or pillow brand we grow, with every kitchen scale we develop, our goal is to provide people everywhere with what they need to make the most of every moment - ensuring that what gets delivered to their door delivers.

The Role

As a Senior Data Scientist / Economist on the Demand Forecasting team, you will own a demand forecasting system at the center of inventory, promotions, pricing, and marketing decision-making across Thrasio’s extensive portfolio of omnichannel products. Partnering closely with experts in causal inference, pricing, optimization, and machine learning, you’ll help drive world-class automated decision-making through accurate and timely demand forecasts, a fundamental part of Thrasio’s long-term success and continued market leadership.

Responsibilities

Leveraging machine learning, statistical, and econometric time series techniques alongside hybrids of these to develop accurate, granular demand forecasts within a hierarchical product catalog context.
Partnering closely with the pricing, promotions, supply chain, and marketing science teams to integrate the causal impact of their business levers into your forecasts, creating a single source of truth for forward planning for the business.
Developing distributions around your forecast via either parameter estimation or non-parametric bootstrapping techniques to power automated robust optimization systems.
Collaborating with cross-functional partners such as engineering, product management, and brand managers to build interfaces to your models, allowing for informed, tracked overrides of forecasts where business context is missing.
Driving strategic initiatives across the broader org as a leader at Thrasio.
Owning team development cycles, managing risk, and bringing stakeholders along for the ride

What You Bring To The Party

Masters or Ph.D. in a quantitative subject (i.e. computer science, economics, operations research, statistics, etc.) or a related field such as Industrial Engineering, Statistics, Mathematics, Computer Science, etc.
5+ years (Masters) or 3+ years (Ph.D.) of practical experience working with demand forecasting systems (ideally in e-commerce).
Expertise in some of statistical/econometric time series modeling (ARIMA, Exponential Smoothing/ETS, GLMs/GAMs, Dynamic Factor Models, etc.), machine learning (XGBoost/LightGBM, RNNs, Transformers, etc.), or hybrid time series techniques (ES-RNN, N-BEATS, TFT).
Proficiency in Python or R, SQL, Git

Nice To Have, But Not Required

Experience in supply chain optimization, pricing, causal inference (to ease collaboration with partner teams).
Familiarity with Databricks, Snowflake, Spark (or other forms of distributed computing).

THRASIO IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER AND CONSIDERS ALL QUALIFIED APPLICANTS FOR EMPLOYMENT WITHOUT REGARD TO RACE, COLOR, RELIGION, SEX, GENDER, SEXUAL ORIENTATION, GENDER IDENTITY, ANCESTRY, AGE, OR NATIONAL ORIGIN. FURTHER, QUALIFIED APPLICANTS WILL NOT BE DISCRIMINATED AGAINST ON THE BASIS OF DISABILITY, PROTECTED CLASSES, OR PROTECTED VETERAN STATUS. THRASIO PARTICIPATES IN E-VERIFY.

Thrasio does not accept agency resumes. Please do not forward resumes to our jobs alias, Thrasio employees or any other organization location. Thrasio is not responsible for any fees related to unsolicited resumes.


Principal Analyst Ai Operations

Our bottom line is different.There’s something special about working at ATB, and it’s been recognized on every top employer list that matters. Maybe it’s our exceptional culture where your total wellness is supported through market-leading benefits and you’re free to bring your whole self to work. Maybe it’s our commitment to a growth mindset and our unrelenting thirst for making it possible for fellow Albertans—even the ones who aren’t our clients.Whatever it is, you won’t find a more genuine, driven and knowledgeable group of humans anywhere. We foster a culture of purpose, performance and possibilities. We engage with intense curiosity, and bring our whole selves to work, every day. We know it starts with people like you, so take a chance and start with us.Job Number: REQ5324Location: Anywhere in Alberta, preference for Calgary or Edmonton #LI-RemoteApply by: Wednesday, December 21, 2022Paygrade: M-OTHSystem Title: Software Developer 8# Positions available: 1Leader Name: Daniel ArogundadeAs ATB’s next Principal Analyst, AI Operations, you will participate in data science initiatives and lead the operationalization of AI/ML services and products. Your ability to operationalize and continue to support AI/ML services and products will be tested. As one of the faces of the AI community, you will lead and promote the growth of the evolving AI/ML discipline from an operational perspective. You will exemplify operational excellence in delivering and supporting AI/ML solutions.Key Responsibilities Implement data science model, support code refactoring and optimization, containerization, deployment, versioning, and monitoring of model quality. Collaborate with Architecture, Cloud Infrastructure, Security, Data and AI Governance, and other support teams at all levels to foster successful partnerships critical to the design, development, testing, and implementation of continuous delivery solutions (CICD). Participate in AI/ML product solution design, testing/test automation, validation and contribute to project roadmaps. Identify risks and proffer mitigation plan/solution to resolve impediments to targeted milestones. Lead the prioritization and resolution of escalations and take proactive steps to address root causes. Develop, implement, and monitor day-to-day operational systems and processes that provide visibility into goals, progress, and obstacles for our key initiatives. Advance the knowledge, skills, performance and development in AI/ML. Promote ATB's software development lifecycle (SDLC) and ensure compliance with ATB’s SDLC processes. Promote and adhere to ATB’s CI/CD and CT/CM processes, ensuring compliance with all processes. Support and champion the evolution of the delivery framework to provide the optimum platform for rapid and repeatable delivery of new solutions and support of existing solutions. Assume full ownership of new technology solutions or PoCs where applicable - from prototype to growth. Continuously drive to explore, improve, enhance, automate, and optimize systems and tools to best meet evolving business and market needs. Lead estimation and forecasting work; ensure that technology solutions are delivered in a timely and cost-effective manner. Interact with all relevant technology services and operations teams in scheduling and implementing periodic maintenance of systems hardware and software, including supporting and/or leading hardware and software upgrades and system releases. Assist with the alignment, agreement, and documentation of service level targets and responsibilities - e.g., SLRs, OLA, SLAs to continually improve the performance of operations. Assist with coordinating the transition of projects from implementation to operations, documentation, version management and knowledge transfer. Identify, manage, and control associated risks with AI/ML model transition to production. Coach and mentor team members at lower levels. Accreditation University degree in computer science, engineering, business, or related disciplines or an acceptable combination of education, experience and training. 5+ years of experience in big data related projects, preferably in the deployment and support of Machine Learning Models. 5+ years experience with programming languages like Python, R, C++ or Bash. 5+ years experience in infrastructure and information systems environment. 3+ years of experience working with Agile methodology and tools such as Jira and Confluence. Advanced knowledge of Machine Learning Operations (i.e. ML pipeline orchestration).  Proficiency in structured and unstructured database languages (i.e. BigQuery , NoSQL, MS SQL). Ability to implement MLOps pipelines on cloud solutions (GCP, AWS ,MS Azure). Experience with MLOps frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc. Experience with containerization such as Docker, Kubernetes and OpenShift. Advanced knowledge of Linux and frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc. Ability to understand tools used by data scientists and experience with software development and test automation. Fundamental knowledge of ITIL and IT operational processes. Advanced understanding of IT operational monitoring and automation systems. Blue Prism certification or comparable experience would be an asset. Knowledge of data analytic and visualization tools like Tableau and Microsoft Power BI  would be an asset. Certification related to data science or machine learning, or relevant experience in this realm. Key Relationships  Work with delivery squad, data platforms team, AI platforms team, data scientists, operations team and technical thought leaders in AI. Work cross-functionally with all lines of ATB business, supporting internal AI and automation units as well as external vendors. Work in close partnership with technology partners and the customer experience office. Core Skills Experience with operations of products and services powered by machine learning algorithms. Understanding of the fundamentals of the machine learning lifecycle and ability to move services from development into production. Strong analytical and critical thinking skills to recognize and comprehend complex issues, policies, regulatory requirements and industry information affecting ATB's environment. Excellent interpersonal, leadership, communication, problem-solving, decision-making and collaboration skills. Decisive and self-directed, comfortable working in a rapid-paced, constantly changing environment requiring the ability to manage and prioritize multiple priorities while achieving great results. Experience defining and ensuring an industry-leading software operations process is followed. Well versed in security best practices as it relates to software development and operational support. Ability to adapt to new responsibilities as assigned. Strong risk management skills. At ATB, we know that as you develop in your career, you gain many transferable skills. If you believe your experience and qualities are a match for this position, please consider applying.Interested? If you know one of our team members, BEFORE applying, reach out to them and ask them for a referral link to help your application stand out.Online applications are preferred. Please let us know if you require any accommodations.Be great. Be you. Believe.We are dedicated to building a workforce reflective of the diversity within our communities and creating an environment where every team member has what they need to reach their potential. We encourage candidates from all equity-seeking groups to apply.What happens next?Thank you for applying online. If you are shortlisted for this opportunity, you will hear from us after the posting close date regarding next steps. We might ask you to participate in a digital interview or phone interview. If you require any accommodations, please let us know.Stay in touch!   ATB is excited to know you’re interested in a career with us! Follow us on LinkedIn, Facebook and Instagram to get the inside scoop on what our team is up to.


Manager Data Science Product Analytics

This is Data Science at Lattice
As a Manager – Data Science, Product Analytics, you will be responsible for leading data scientists who partner deeply with our Engineering, Product, and Design teams to accelerate data-driven product development. Your role will be centralized across many products in the Lattice platform and you will have a unique opportunity to make a large impact on the influence of data on a quickly growing customer base and the broad suite of products that Lattice offer. In addition to partnering with Engineering, Product, and Design leadership on strategic initiatives, you will also manage full-stack data scientists across a variety of projects and problems ranging from data modeling in dbt to reporting in Looker and analysis in python or R.
What You Will Do

Guide business impact of data scientists partnered with our product team, advising on topics such as metric creation, feature success analysis, and roadmap prioritization

Regularly communicate out insights, commentary, and recommendations about the state of our products in light of our product strategy

Support the personal development of data scientists by advising on technical analysis including machine learning techniques and experimentation

Create and contribute to team-wide processes and documentation

Manage sprint planning and workload distribution across data scientists as they prioritize work across the platform

Guide technological decisions in collaboration with our analytics engineers and other key stakeholders

Roadmap Data’s bi-annual plan, managing expectations and inputs from across the engineering, product, and design organization

What You Will Bring to the Table

Have hired, trained and supervised individuals in a data or analytics function

5+ years experience working in Data Science or Analytics

Proven ability to deliver data, recommendations, and insights that have a material impact on product development, strategy, or other key business areas in a B2B Saas environment

A track record of collaboration with stakeholders

Deep expertise in a facet of data science including but not limited to machine learning, experimentation, or data analysis

History of guiding teams to successfully complete projects on time and within scope

Sharp SQL skills

Hand-on experience with either R or Python

Familiarity with a BI tool such as Looker

Even if you don’t meet each of the components of experience we’ve listed here, we don’t want that to get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.