nathansutton/data-science-job-descriptions huggingface dataset:
Data Scientist at Dropbox

Role Description
We're looking for a Data Scientist to partner with revenue, marketing, and product teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company.  
Responsibilities

Develop a deep understanding of customer journey phases and key business metrics
Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes 

Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. 

Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets 
Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
Understand what matters most and prioritize ruthlessly

Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate


Requirements

Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field

3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting


Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction

Significant experience with SQL and large unstructured datasets such as Hadoop

Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees

Solid background in running multivariate experiments to optimize a product or revenue flow
Strong verbal and written communication skills

Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus
Data Science Summer Intern Undergrad at Proofpoint

It's fun to work in a company where people truly BELIEVE in what they're doing!We're committed to bringing passion and customer focus to the business.The RoleDo you have a passion for applying analytical reasoning to real-world problems? Do you have a strong mathematical background and understand statistics fundamentals? Are you fascinated by cybersecurity and want to prevent highly sophisticated attacks? If so, Proofpoint is looking for a bright and enthusiastic Data Science intern like you to join the Security Analytics, Intelligence & Learning (SAIL) team.  The SAIL applied research team is responsible for converting data into business value through machine learning detection systems and data-driven decision making. We are a team of Data Scientists and Software Engineers who love keeping up with the latest ML research, creating a creative and supportive workplace environment, and hosting the occasional board game/trivia event. We work closely with product, engineering, and threat research teams to significantly differentiate our product offerings and delight our customers.   As a Data Science Intern on the SAIL team, you will advance business goals with forward looking research. You will work closely with Data Scientists to implement individual projects and learn the day-to-day responsibilities of professional Data Scientists.  You will own a summer long deliverable and drive progress with support from your mentor and other SAIL team members. Past projects have included implementing clustering systems, improving metrics calculation systems, and enhancing core detection logic.   Job Requirements
Proficiency with Python 3   
Proficiency with at least one SQL dialect and CRUD operations  
Basic understanding of machine learning methodology and workflow   
Basic understanding of machine learning algorithms   
Strong problem solving skills    
Experience with statistical tests  
Experience with classification problems  o A desire to learn new skills  
Candidate ProfileYou have the ability and interest in working full time (a maximum of 40 hours/week) in our Sunnyvale office or remotely. You are currently pursuing an undergraduate degree and are successfully maintaining an above average GPA. This summer internship is scheduled to run for 11 weeks from June - August 2023..If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Data Scientist Forecasting Canada at Tiger Analytics

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.  Our employees bring deep expertise in Data Science, Machine Learning, and AI.  We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.   We are looking for a strong Data Scientist with statistics and economics background who can work on banking deposit products and forecast fund Flows in and out of the bank on a monthly/quarterly/yearly basis, given the frequently changing Fed rates.Key Responsibilities Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision-making; focus on the “how and why” of solutions. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers. Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.   Master’s or Ph.D. in Statistics, Economics, Data Science, Computer Science, or a related field. At least 5+ years of extensive Time-Series Forecasting and Modeling experience – apply seasonality adjustments, incorporate exogenous variables, etc. Strong statistics foundation and knowledge of statistical packages in any coding language (preferably SAS or Python).Economics background – should know how to work with macroeconomic data/variables in Time-Series forecasting.Ability to use Marketing data as input to time-series models.Hands-on experience building models is a must.Data Visualization in Tableau (design, develop, publish, and automate Tableau dashboards).Proficiency with Python and SQL and ability to write complex SQL queries.Exceptional communication and collaboration skills to understand business partner needs and deliver solutions.This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Senior Data Scientist at Komodo Health

The Opportunity at Komodo Health
The Solution Delivery team’s mission is to support customers and products through custom applications of our healthcare map along with actionable insights that enable Komodo to meet our business goals.
Our data scientists help build analytics pipelines and complex logic for complicated data projects that solve tangible customer use cases.
Looking back on your first 12 months at Komodo Health, you will have…

Delivered high-value data analytics projects that our existing data products could not cover 
Worked with Product to help prototype new analytics offerings
Implemented or reviewed client solutions using techniques like ML or statistical analysis for targeted therapeutic areas in our patient population
Effectively partnered with customer-facing teams to reconcile client requirements with the capabilities of datasets available at KH
Incorporated a good understanding of the healthcare datasets at Komodo and client use-cases to effectively partner with data engineering teams for architectural decisions
Created a plan with the team to scale our solutions, automate code and centralize complex logic. Advocated for good engineering practices within the team like documentation and code reusability
Presented findings, insights and analytical results to internal partners for client deliveries, as well as the larger DS function for continued growth and learning

What you bring to Komodo Health:

Keenly analytical mindset and the ability to solve complex problems with limited supervision
Experience writing SQL queries, working with Relational Databases and proficient in scripting with Python
Ability to work well both independently and collaboratively, in a fast-paced and demanding agile environment
Interest in growing their skills as a Data Scientist and being willing to learn and teach as part of a team
Strong business acumen demonstrated by a good understanding of how analytics insights tie into business goals
High motivation, work ethic, and self-discipline to organize and complete tasks
Nice-to-have: industry knowledge on healthcare claims data, A/B testing, HEOR/RWE, actuarial modeling

Compensation at Komodo Health
We are committed to providing competitive compensation for all roles at Komodo Health. We carefully consider multiple factors when determining compensation, including your skills, experience, and location while balancing internal equity relative to peers at the company. The targeted base salary range for the Data Scientist role is $140,000 to $233,200 plus a competitive bonus and equity package. 
#LI-CT1 #LI-REMOTE
Director Of Data Science at Komodo Health

The Opportunity at Komodo Health
The Director of Commercial Data Science would partner with the Analytics Consulting team to build the analytic service delivery vision and operating model; gain stakeholder buy-in to the model; scale the team; identify and implement efficiencies for profitability maximization; and lead a team of Data Scientists to execute on the technical delivery aspects of analytic services and measure impact. This is a high growth, high visibility role working with a dynamic and collaborative team of talented analytics practitioners, consultants, and healthcare leaders.
Looking back on your first 12 months at Komodo Health, you will have…

Gained a deep understanding of the anatomy of Komodo, with a focus on data and products.
Incorporated data science expertise to guide modeling techniques for addressing customer needs.
Helped set the strategy and vision as to how we design and deliver analytic solutions.
Led the team by defining and executing data science initiatives that align with overall business strategy and objectives
Collaborated with cross-functional teams including Engineering, Product Management, and Program. Management to provide input on project priorities, project estimates, and risk assessment for roadmapping initiatives.
Excelled in balancing the technical, managerial, and operational aspects of the role.

What you bring to Komodo Health:

Experience managing and developing managers as well as data science teams within a fast-paced environment.
Proficiency in Python and SQL with a passion for automation and efficiency-driven solutions.
Familiarity with large-scale data and computational technologies (e.g. Spark, Snowflake)
Knowledgeable in complex modeling topics, advanced statistics/biostatistics, algorithm design, and familiar with ML software packages.
Deep understanding of statistical modeling and analytics.
Experience collaborating with Product Management, Program Management, and Engineering teams to establish a comprehensive roadmap and long-term vision.
Comfort with complex technical and business problems, with a focus on empowering technical delivery.
Excellent leadership skills with a proven ability to inspire and motivate a team

#LI-CT1 #LI_REMOTE
Data Scientist at Komodo Health

The Opportunity at Komodo Health
The Solution Delivery team’s mission is to support customers and products through custom applications of our healthcare map along with actionable insights that enable Komodo to meet our business goals.
Our data scientists help build analytics pipelines and complex logic for complicated data projects that solve tangible customer use cases.
Looking back on your first 12 months at Komodo Health, you will have…

Delivered high-value data analytics projects that our existing data products could not cover 
Worked with Product to help prototype new analytics offerings
Implemented or reviewed client solutions using techniques like ML or statistical analysis for targeted therapeutic areas in our patient population
Effectively partnered with customer-facing teams to reconcile client requirements with the capabilities of datasets available at KH
Incorporated a good understanding of the healthcare datasets at Komodo and client use-cases to effectively partner with data engineering teams for architectural decisions
Created a plan with the team to scale our solutions, automate code and centralize complex logic. Advocated for good engineering practices within the team like documentation and code reusability
Presented findings, insights and analytical results to internal partners for client deliveries, as well as the larger DS function for continued growth and learning

What you bring to Komodo Health:

Keenly analytical mindset and the ability to solve complex problems with limited supervision
Experience writing SQL queries, working with Relational Databases and proficient in scripting with Python
Ability to work well both independently and collaboratively, in a fast-paced and demanding agile environment
Interest in growing their skills as a Data Scientist and being willing to learn and teach as part of a team
Strong business acumen demonstrated by a good understanding of how analytics insights tie into business goals
High motivation, work ethic, and self-discipline to organize and complete tasks
Nice-to-have: industry knowledge on healthcare claims data, A/B testing, HEOR/RWE, actuarial modeling

Compensation at Komodo Health
We are committed to providing competitive compensation for all roles at Komodo Health. We carefully consider multiple factors when determining compensation, including your skills, experience, and location while balancing internal equity relative to peers at the company. The targeted base salary range for the Data Scientist role is $102,500 to $186,300 plus a competitive bonus and equity package. 
#LI-CT1 #LI-REMOTE
Data Science Manager at Mercury

Data Science Manager
SF, NY, Toronto, Portland, or remote in US/Canada
Full-time
Mercury
In the 1840s, Charles Babbage and Ada Lovelace worked on an early version of the computer known as the “Analytics Engine”. In the words of computing historian Doron Swade, “What Lovelace saw...was that numbers could represent entities other than quantity” and together they laid the foundation for general-purpose computing.
We’re looking for a Data Science Manager who can help us build, support, and develop the team building our analytics engine.
In this role, you’ll be responsible for a team of 5-7 data scientists embedded across product teams, and will critically influence how we invest in and build Mercury’s future. You’ll be early in building a data-informed culture across Mercury so that stakeholders across the company can determine what’s happening, react quickly, and invest intelligently.
Here are some things you’ll do on the job:
Build, manage, and develop a team of 5-7 data scientists to help Mercury make better business banking* and product decisions informed by data.Influence analytics culture and rigor across our Core Products (dashboard, cards, etc) by working with different levels, from executives to individual product and operations teams, ranging from deriving insights of our core products to advanced statistical methods for risk and credit underwriting.
You should:
Have 4+ years of experience in a quantitative role, including 1+ years managing a team of quantitative experts (e.g. data scientists, product analysts, machine learning engineers, or financial mathematicians).Be able to partner with business leaders and GMs to ensure that they and their teams have the tools, reporting, and support to consistently make the best data-informed decisions. Proactively provide advanced analytics and insights to leaders that stakeholders may not be seeing.Be opinionated on the ways to most effectively use data to make business and product decisions.Strong knowledge and hands-on experience with data science, machine learning, statistics, financial calculations, or experimentation for commercial applications.
*Mercury is a financial technology company, not a bank. Banking services provided by Choice Financial Group and Evolve Bank & Trust®; Members FDIC.
Our salary ranges are based on paying competitively for our size and industry, and all employees receive salary + equity + benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, skillset, and balancing internal equity relative to peers at the company.
The ranges shared are for the expectations as laid out in the job description, however we are often open to a wide variety of profiles, and recognize that the person we hire may be less experienced or more senior than this job description as posted. If that ends up being the case, the updated salary range will be communicated with you as a candidate.
The salary range for candidates in the US  is $205,000–$250,000.
The salary range for candidates in Canada is CAD 182,000–228,000.
Apply NowWhy work at Mercury
Data Scientist at Deep Genomics

About Us
Founded in 2015, Deep Genomics is a drug development company that aims to revolutionize medicine by leveraging expertise in artificial intelligence (AI) and genome biology. We have built the world’s first, and most advanced, AI platform that is able to untangle the enormous complexity of RNA biology and find the best targets, mechanisms, and molecules. We take immense pride in our team of people whose backgrounds span a diverse range of disciplines including those found in a traditional biotechnology company, as well as machine learning, laboratory automation, and software engineering. Deep Genomics is located in Toronto, Ontario and Cambridge, Massachusetts.

Where You Fit In
We are seeking a highly motivated data scientist/ bioinformatician with solid programming skills. The successful candidate will have a good understanding of molecular biology, human genetics, and basic statistics, and will take on tasks spanning bespoke analysis of experimental data, data visualization, genomics data processing, and experimental design.


What you will do:

Analyze high-throughput experiments to assess data quality and identify hits.
Support preclinical development programs with computational analyses.
Build tools to automate recurring data analysis.
Collaborate with machine learning scientists and engineers to build tools to streamline design of antisense oligonucleotide compounds



What you bring: 

BSc in Computer Science, Bioinformatics, Statistics, or a related field.
Two years of relevant postgraduate experience or a graduate degree in Computer Science, Bioinformatics, Statistics, or a related field.
Understanding of basic concepts in molecular biology and human genetics at the undergraduate level or higher.
Solid statistics knowledge with ability to perform various statistical analyses independently.
Solid knowledge of the Unix shell, Python, and Pandas.
Comfort working in a fast-paced and rapidly evolving work environment.



Nice to have: 

Experience with R and cloud computing.
Experience with human genomics data (including next generation sequencing).



What we offer:

A highly competitive salary and meaningful equity compensation (ESOPs).
A wide array of company-paid benefits.
Exceptional opportunities for learning and growth working alongside a world-class team of researchers and software developers working at the intersection of the most exciting areas of science and technology.



Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.

Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
Applied Ai Research Manager at Descript

Our vision is to build the next-generation platform for fast and easy creation of audio and video content. In November 2022, we took a huge leap forward by launching Storyboard, the video editing foundation that we’re excited to build atop AI capabilities like Overdub, Studio Sound, and other generative AI capabilities in the near future. We're used by some of the world's top podcasters and influencers as well as businesses such as BBC, ESPN, Hubspot, Shopify and Washington Post for communicating via video. We've raised $100M from some of the world's best investors like Andreessen Horowitz, OpenAI Startup fund, Redpoint Ventures and Spark Capital.
We’re looking for a strategic thinker who has a strong product and technical acumen to lead our Applied AI Research team and shape the product and business in the coming years via the cutting edge advancements in AI. You’ll be managing a talented team of AI Researchers specialized in generative models and deep learning and will report directly to the VP of Engineering.
Some of our research publications:

SampleRNN: An Unconditional End-to-End Neural Audio Generation Model.
Char2Wav: End-to-end Speech Synthesis.
ObamaNet: Photo-realistic lip-sync from text.
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis.
Chunked Autoregressive GAN for Conditional Waveform Synthesis
Wav2CLIP: Learning Robust Audio Representations From CLIP

Job Responsibilities
The Applied AI Research Manager will be responsible for managing and leading our Applied AI Research team in developing and implementing cutting-edge AI technologies for the Descript product. The responsibilities include:

Leading research projects and ensuring their timely completion
Collaborating with other teams to integrate AI technologies into real-world products
Mentoring and managing a team of research scientists and engineers
Developing and implementing research strategies
Staying up-to-date with the latest developments in AI technology and incorporating them into our research
Representing the company in conferences and events

Qualifications
The ideal candidate will have:

PhD or Master’s degree specialized in Deep Learning or equivalent experience.
3+ years in managing AI teams and 5+ years of experience with building deep learning models
A track record of leading and shipping research projects in production
Experience in managing and mentoring research scientists
Strong knowledge of deep learning (and ideally generative models)
Excellent communication and interpersonal skills


The base salary range for this role is $200,000- $260,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, and may vary from the amount above.
Senior Data Scientist at Onestudyteam

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At OneStudyTeam, we value belonging and believe in fostering an environment where a diversity of perspectives can thrive. This core value is a pillar of our business and critical to our success. Your voluntary responses will be used (in aggregate only) to help us identify areas of improvement in our process. Your responses are anonymous and will not be associated with your specific application and will not in any way be used in the hiring decision. If you do not wish to answer any of the questions below, please select "I don't wish to answer" or simply skip the question.
To learn more about Reify Health's commitment to diversity, equity, and inclusion, please see our diversity statement and information about the BRIDGE Initiative.
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Data Scientist at Transunion

TransUnion's Job Applicant Privacy NoticeWhat We'll Bring:At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation. We are consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius. Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.The Automotive Data Science & Analytics - Senior Analyst role is a highly visible position responsible for contributing to a broad range of client engagements and collaborating with the Automotive line of business to execute new solution ideas. The role contributes to new revenue growth by generating solutions and market insights for new and existing automotive clients.What You'll Bring:
A graduate degree in the hard sciences with advanced coursework in statistics
2+ years of professional statistical modeling experience. Must have knowledge of processes involved in the development of models that can be used to predict risk or marketing outcomes
Expert proficiency with one or more statistical programming languages such as R or Python
Expertise in writing advance SQL queries for data extraction
Experience in a data visualization tool such as Tableau preferred
Strong written and verbal communication skills: ability to clearly articulate ideas to both technical and non-technical audiences, strong presentation skills with comfort presenting to executive audiences
Efficient time and project management skills with the ability to oversee and manage project teams to meet project deliverables inclusive of delegating work, setting clear goals, and managing customer expectations
Impact You'll Make:
Dig in by extracting data and performing statistical analyses on Big Data (using languages such as R, Python, and SQL).
Present data in form of analyses and reports using creative Tableau Dashboards and MS PowerPoint slides.
Deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers at various levels including an executive audience; may lead key presentations to clients
Collaborate with internal and external partners to deliver innovative analytical products and insights. You will be directly involved in the integration of third-party data to enhance our TU automotive solution suite.
#LI-SG1#LI-Remote#LI-HybridWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. TransUnion's Internal Job Title:Sr Analyst, Data Science and Analytics
Data Scientist Rwe Clinical Trials at Walgreens

Job Summary:
The Data Scientist – RWE will be responsible for generating Real-World Evidence (RWE) through advanced analytics and innovative approaches in the clinical trials space. The data scientist will be integral part of the Scientific Affairs team The candidate should have a strong desire to influence internal and external decision making through the application of innovative data science and technology. In this role, you will conduct sophisticated data analysis to help address critical business questions. This role reports to the VP of Scientific Affairs.
Job Responsibilities:
Assists in the due diligence on new real world data providers/vendors and drive RWD quality assessments to inform investment decisionsWorks to mine raw data sets to deliver standardized, analysis-ready patient cohorts from in house data assets or online licensed platforms, including generating hypotheses and analyzing data to test and interpret results standardized in close collaboration with the value and outcomes research and patient/market access team and help shape the analytics strategyPartners with other members of the Walgreens Clinical Trial team members to deliver actionable insights from real-world, clinical and other data sources to support biopharmaceutical RWE and clinical trial requests. Potential efforts include analysis of unmet needs (safe and effective therapy in certain disease states), treatment patterns and healthcare/economic burden data to support budget impact modelling and cost effectiveness modelingCleans, transforms and stores data into an integrated data lake for future analysis and broader team consumptionPerforms data mining and statistical analysis to analyze RWE/RWD in order to find new insights regarding patient populations and treatment outcomesSupports the development of real-world data, analytics and platform capabilities, applying cutting-edge advanced analytics methodologies and tools to address scientific questions from biopharmaceutical companiesCollaborates on design and execution of outcomes research studies from a data science and analytics perspectiveEnsures high quality, rigorous and readily interpretable deliverables from RWE studies/analysesBuilds dashboards, analytics and reports for internal and external consumption.
Data Scientist Statistician at Walgreens

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

Saturn Technologies - Data Scientist 



At Saturn, we’re on a mission to build community around the calendar. We’re starting in high school and help tens of thousands of users manage their time and stay better connected with friends. The majority of our users are active daily. We’ve raised more than $44 million in funding from General Catalyst, Insight Partners, Coatue, Jeff Bezos, Marc Benioff, and other top venture investors. If you’re looking to drive a major impact on an energetic and ambitious team, come join us!

To learn more about Saturn’s offerings on iOS, Android, and Web, visit joinsaturn.com.
 
About the Role:
 
As a founding data team member at Saturn, you will have outsized influence in steering the company’s direction and establishing data practices and infrastructure. We’re looking for seasoned and energetic broad-skilled data scientists who can range from impactful, opinionated business analysis to developing impactful data software.
 
Key Responsibilities and Expectations: 




Ensuring partner teams are organized around the right operational metrics
Advancing the company through insightful analysis and research
Driving optimization through experimentation and machine learning
Contributing to data infrastructure and team best practices to increase velocity


Example Workstreams: 




Evaluating which features and tactics are predictive of high schools' growth
Evaluating feature launches and usage
Developing a share/invite contact suggestions ranker
Developing our dbt model and automated reporting functionality
Optimizing ad spend


Candidate Qualifications:




3+ years of experience in data science, quantitative research, and/or analytics
Deep experience and second-nature fluency in: SQL, Python, Applied statistics and causal inference, and machine learning methods
Strong product and business sense and opinions
The ability to communicate complex ideas crisply
A team-first mentality and a leader and teacher to peers
An impatient bias for action




Saturn celebrates and embraces having a diverse team. We are committed to building a team that represents a variety of experiences, backgrounds, and skills. We do not discriminate on the basis of race, color, religion, marital status, age, gender identity, gender expression, sexual orientation, non-disqualifying physical or mental disability, national origin, veteran status, or other applicable legally protected characteristics.
Senior Nlp Data Scientist at Lightcast

An NLP Data Scientist at Lightcast works with the Product, Data, and Classifiers & Extractors teams to produce state-of-the-art models and enriched datasets that address our customers’ most pressing problems about the future of work. This is a senior, tech leadership role and will have a strong emphasis on mentoring the team and leading the team to deliver state-of-the-art document understanding capabilities. A successful candidate will have a strong knowledge of current NLP capabilities and a track record of delivering NLP capabilities at scale.

Responsibilities:

Work cross-functionally to define problem statements, collect data, build models, and make recommendations to stakeholders and technical leaders.
Keep abreast of advancements in the field and deliver state-of-the-art solutions. 
Lead efforts to expand, augment, and enhance labeled datasets.
Work closely with Classifiers and Extractors Dev team and Data Engineering team to integrate models and deliver to production environments.
Spearhead model development for new and existing classifiers and extractors that process billions of documents at a time.
Champion the incorporation of new tools/methods/techniques.
Work with and manage very large (and messy) data sets; build ML pipelines that scale to work with this data effectively. Experience working with and designing continuous machine learning pipelines is required.
Manage large and/or complex projects to completion. Make business/technology trade-offs when appropriate.
Mentor a team of NLP data scientists and machine learning engineers with varying levels of experience. 
Contribute to positive team culture by participating in team-building activities and being a supportive and empathetic colleague.



Knowledge, Skills, Abilities:

Proven expertise building NLP models with deep learning as well as traditional methods. 
Awareness of and experience with current state-of-the-art language modeling architectures. 
Experience with self-supervised and semi-supervised learning.
Proficiency with Python. Proficiency in the C programming language or similar (D, C++) a plus.
Experience delivering accurate, robust, and performant NLP capabilities at scale. 



Credentials & Experience:

MS/PhD in Computational Linguistics, Engineering Mathematics, Statistics, Physics, Operations Research, or related field
5+ years of industry experience solving analytical problems and building models using quantitative, statistical or machine learning approaches.
Strong experience with current NLP capabilities and delivering NLP capabilities at scale.



Lightcast is proud to be an equal opportunity workplace and is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Lightcast has always been, and always will be, committed to diversity, equity, and inclusion. We seek dynamic professionals from all backgrounds to join our team, and we encourage our employees to bring their authentic, original, and best selves to work.

#LI-Remote
Senior Data Scientist at Cardiosense

What you'll be doing:

Work with midsize and large waveform and patient datasets and apply advanced analytical methods to derive clinically relevant metrics and indications.
Conduct end to end analyses. Create requirements specifications, processing, analysis, ongoing deliverables, and presentations.

Build and prototype analysis pipelines. Optimize database and computational resources for the data science team. 


Manage a data science team. Work closely with engineers and managers to identify opportunities for design improvements and operational efficiency.  

Collaborate with clinical research team to design end-to-end study infrastructure and pipeline to collect data from clinical sites.
Prepare and present statistical analysis of algorithms performance at academic and medical conferences.
Participate and engage in thought leadership working groups around the regulation of AI in clinical practice.

What we're looking for:

MS/PhD in Electrical Engineering, Statistics, Bioinformatics, Computational Biology, Computer science, Mathematics, or equivalent practical experience

5 years of experience in data analysis or related fields such as Data Scientist, Computational Biologist, or bioinformatics  

Deep understanding of both classical machine learning and modern AI/deep learning concepts
Ability to effectively communicate requirements, manage tasks, and relay results to management team 
Experience with analytic database design and application
Understanding of good machine learning practice for medical device development (preferred)
Experience in team management or leadership (preferred)
Experience with wearable health sensors and related biometric algorithms (e.g. PPG, ECG, respiratory signals) (preferred)

 
Cardiosense is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, religion, disability status, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Data Scientist at Northern Labs

WHO WE ARE 
Northern Labs is on a mission to lower the barrier to entrepreneurship in Canada and help companies grow to a massive scale. As a Venture Studio, we use our deep technology expertise, capital, and vast network to assist founders in turning ideas into viable companies.
We specialize in blockchain, fintech, marketplaces, analytics, and gaming, and partner with top-tier venture-backed startups to build out highly scalable, enterprise-grade products and platforms.



WHO WE’RE LOOKING FOR
We are looking for a skilled Data Scientist to leverage our internal platform data and public blockchain data to generate machine learning models to detect potential fraud and deliver insights to improve our business. Our ideal candidate is passionate about data and relentlessly pursues improvement in themselves, their work, and their team.


WHAT YOU’LL DO

Join an engineering-focused team building applications in the blockchain and gaming space
Create machine learning models for identifying fraud in payment processing systems
Identify, propose, and conduct analytics using machine learning with internal and external teams
Explore public blockchain data
Collaborate closely with data engineers and internal product and development teams



ABOUT YOU

3+ years of relevant professional experience in a data scientist or similar role
Programming skills in Python
Experience with creating, tuning, and implementing supervised or unsupervised machine learning models
Solid understanding of SQL
Experience with cloud-based data warehouses (Snowflake, Redshift, BigQuery, etc.)
Ability to operate in a fast-moving startup environment
Ambition, eagerness to learn, a positive attitude, and the ability to work within a team environment
Strong written and verbal communication skills
Familiarity with development best practices



BONUS IF YOU HAVE

Experience with blockchain technologies (bitcoin, ethereum, etc.)
Familiarity with Unix/Linux systems
Experience with financial systems and trading
Experience with payments processing
Experience communicating with remote teams or working in a remote environment
Head Of Data at Coalition

About the Role
Coalition’s mission is to protect the unprotected.  To do this, we are reinventing an experience for organizations that helps them be secure in the uncertain world of digital risks.  This means providing security at multiple levels: cyber, financial, and emotional through our innovative, end-to-end product suite.  This product suite enables a new category that we are pioneering called Active Insurance. As the Head of Data Science at Coalition you will own our entire data platform and all of the ways that we derive value from it including analytics, machine learning, and artificial intelligence. Making effective and innovative use of our data is a fundamental pillar of our Active Insurance Strategy. Your organization will drive innovative end-to-end solutions from understanding our business requirements and historical data in the areas such as risk assessment, underwriting, and classification. You will collaborate closely with both engineering peers and business stakeholders.  We are a human centric organization that is building for the long-term. We celebrate diversity and work hard to build a culture that is inclusive for all. Our culture is built around humility, purpose, authenticity, and responsibility. We have embraced distributed and remote work and our product and engineering teams are clustered in California, Washington, Colorado, Texas, and Portugal. Our ideal candidate will form insights and find innovative ways to meet current and evolving customer needs. We are looking for an experienced leader with a track record of successfully leading and growing a world-class data science and analytics organization. 
Responsibilities

Build a world-class team. Hire excellent data scientists, machine learning engineers, and engineering managers. Mentor them and lay a clear growth path for your team.
Develop our data science strategy and vision. Your goal is to drive impact across different aspects of our business through innovative use of data science and machine learning
Follow and share industry trends in data science and machine learning engineering
Deliver machine learning models into production. Operate your services at scale with high operational rigor
Create, enhance, and maintain technical documentation for all aspects of our data platform. Use this to drive engagement in the organization
Work with executive stakeholders across the company to help incorporate company goals and initiatives into the vision and plans for your area
Make Coalition a better place by modeling our cultural values and taking on the unseen, unforeseen, and important items that come up along the way

Skills and Qualifications

Computer Science or Engineering degree, or a related technical discipline, or equivalent work experience
10+ years experience in data science, data analytics, and machine learning
5+ years management experience and must have led a multi-team data science or machine learning engineering organization
Demonstrated success delivering and operating machine learning capabilities in production

Bonus Points

Prior fintech or insuretech experience