Senior Data Scientist

Our business is centered on data, because it’s what our clients need to make confident decisions that shape the future of media. Our Data Science team delivers essential metrics and insights to brands around the world through new product ideation, experimental design and complex analysis.

ABOUT NIELSEN
Audience is everything! Nielsen is the global leader in mapping media ecosystems. With a footprint in 70 countries and 15,000 associates, we offer the world’s most complete measurement of everything people watch on all screens. We leverage the best data assets and modeling methods to build consistent and comparable metrics of viewing behavior. By connecting clients to audiences, we fuel the media industry with the most accurate understanding of what people listen to and watch. To discover what audiences love, we measure across all channels and platforms—from podcasts to streaming TV to social media. And when companies and advertisers are truly connected to their audiences, they can see the most important opportunities and accelerate growth.

ABOUT DATA SCIENCE
Data Science is at the core of Nielsen’s business. Our 500+ data scientists range from survey methodologists, experimental behaviorists, statisticians, machine-learning modelers, data engineers,and software developers. We drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world.

ABOUT YOU
You’re a visionary who can also execute--you see the possibilities, then create a plan and make it happen. You understand media measurement or are able to quickly pick up domain knowledge on the job. You write production-quality code and enjoy orchestrating your big-data solutions at scale. You’re able to shift gears quickly and adapt to changing circumstances. You also have the communication chops to translate it all into conversation or presentations, connecting strategic objectives to daily work. Seeing the big picture takes attention to detail. You know what’s happening in the data science world and you’re ready to influence what’s next.

ABOUT THE JOB

Our team builds methodologies that integrate Nielsen’s state-of-the-art data assets into cutting-edge audience measurement and planning products. The Senior Data Scientist will develop and producionalize data integration models for our content measurement for TV, digital, and radio platforms. Meetings are usually held during standard East Coast working hours; some flexibility may be required for international coordination.

QUALIFICATIONS:

Advanced degree in Statistics, Computer Science, Engineering, Physics or other STEM fields
Proficiency in Python, Spark, or Scala to develop sharable software with the appropriate technical documentation
Experience with enterprise data systems
Experience with cloud platforms.
Experience with Hadoop, Apache Spark, and other big data systems
Experience with Atlassian suite is a plus
Experience with statistical and machine-learning models
Experience with both designed and organic data
2 or more years work experience in data science
Excellent communication skills, ability to explain complex problems to technical and non-technical audiences

JOIN US!
Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You’ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work!

Nielsen: Enabling your best to power a better media future. Our comprehensive benefits package (including health & wellness plans, 401(k) retirement coupled with a Nielsen match, a generous paid time off policy, and if eligible, a discretionary incentive/bonus) is designed to be inclusive for all employees and families, and we take pride in ensuring that employees are rewarded holistically for the role they are doing and their performance. A reasonable estimate of salary range for a new employee to be offered this role would be between 100,000 - 300,000, which would be adjusted based on each employee's geographic location.  The position of each employee within a compensation range at Nielsen is dependent on several individual circumstances, such as experience, training, certifications and other business requirements/needs.

Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.

#LI-REMOTE


Senior Data Scientist Automation

In this role, you will create new tools and processes to improve efficiency of the Data Science team. You will build dev environments, tools, libraries, and processes for efficient prototyping, and supporting R&D efforts. You will be at the intersection of Data Science and Data Engineering, where you will facilitate communication and skills-sharing between the teams. You are motivated to improve your teammates’ productivity and you have a strong passion for automation. Your work will help improve Biobot’s internal reporting and facilitate data sharing across the organization, which will be essential to help grow the company at scale. As a senior member of our data science team, you will drive the exploration and finding of opportunities to improve our code and processes, and suggest tools and ways to improve our system.

Essential Duties and Responsibilities (What you will be doing):

Identify opportunities for automation of data processes
Design and implement process improvements and automations
Build and maintain tools and libraries to support prototyping and R&D efforts of the Data Science team
Partner with Software Engineering to learn our engineering team’s development best practices and evangelize them to Data Science as applicable
Help developing scalable reporting and data sharing capabilities, both internally and with external customers
Provide mentorship and guidance to junior team members, encouraging best practices and implementing processes that help the team succeed

Education and/or Work Experience Requirements (What you need to succeed):

5+ years of related experience with a Bachelor’s degree; or 3+ years and a Master’s degree; or equivalent work experience.
Mastery of Python
Experience with cloud-based and containerized computing (e.g. AWS, Docker, etc)
Experience working with data scientists and software engineers
A strong passion for improving processes (and a strong aversion to inefficiencies and manual data work)
Desire to explore and learn new tools, and to teach others what you have learned
Strong communication skills
Strong owner mentality
Ability to adapt to a rapidly changing startup environment

Education and/or Work Experience Bonuses (What will help you succeed):

Experience building internal data science tooling and libraries
Experience with Airflow or other workflow scheduling tools
Experience using R
Experience using APIs
Degree in computer science, a related field, or equivalent working experience

Physical Requirements and Special Demands:

Standing or sitting for several hours at a time
Listening and speaking clearly on video conferencing for several hours a day

Our Benefits
HEALTH

Free medical, dental, and vision insurance for employees and their families, including a $0 deductible medical plan. We want our employees to manage their health and that of their families without worrying about high premiums or deductibles.

SELF CARE

Unlimited PTO with 3 week minimum. Whether it's playing MTG or D&D, singing on stage, camping, raising chickens, or anything else that inspires, we want our employees to unplug and explore their passions.

BIOBABIES

12 weeks parental leave at 100% pay. We love Biobabies and know that bonding with a new child is a critical need for employees and Biobabies alike.

SAVINGS

3% Biobot 401k contribution. Regardless of whether our employees contribute, we contribute 3% of salaries into participating employees' 401k accounts because we want to support their long-term financial goals.

WORKSPACE

$500 home office stipend for remote employees; free parking + commuter benefits and free meals for lab employees. Onsite or at home, we ensure our employees' workspace is set up for success.

About Biobot
At Biobot, we are working together to build a team environment in which everyone can thrive and is proud to belong. We are an equal opportunity employer and our goal is to be a diverse team that is representative, at all job levels, of the society we live in. We encourage applications from candidates of all identities and backgrounds, including those who are traditionally underrepresented in technology startups.

Our mission is to transform wastewater infrastructure into public health observatories.

Named as one of Fast Company’s most innovative companies in the world in 2021, Biobot Analytics is a wastewater epidemiology company and uses technology developed at MIT to measure biomarkers in sewage to better understand population health in cities. We first launched an opioid product to support government and public health officials in responding to the opioid epidemic, and in 2020 launched a Covid19 product to estimate the scope and trend of the outbreak in communities. We have operated in almost 500 communities across 43 U.S. states, generating Covid19 case estimates for over 13% of the U.S. population.

Battling the opioid epidemic and now the Covid19 pandemic is just the beginning - we’re transforming sewage into a data asset and building a public health database. Eventually, Biobot data will be an early warning system for disease outbreaks, a map of nutrition disparities, and more. Headquartered in the Boston area with an office in NYC, we aim to create the bedrock of human health infrastructure and smart cities in countries across all six continents.

Please note that we are unable to sponsor work visas at this time.

www.biobot.io


Climate Risk Data Scientist

Location:For Those Who Work At Home - Various, Ohio 44145ABOUT THE JOB (JOB BRIEF)This exciting role is at the intersection of Data Science and Environment Analysis. The Climate Risk modeling process is foundational to KeyCorp’s commitment to transforming to an environmentally responsible bank. This risk management program produces outcomes that help inform the bank’s decisions and strategies. The Risk Modeling and Analytics group within KeyCorp is looking for a Data Scientst to develop Climate Risk models. The primary responsibility will be to apply advanced statistical modeling, machine learning and artificial intelligence to develop, validate, modify and test predictive models at an advanced level. This role requires a deep understanding of statistical modeling techniques and how certain loan portfolios (e.g., commercial loans, real estate loans, etc.) are impacted by both loan attributes as well as physical and transition risks as they relate to climate. As part of the role, there will be a need for strong engagement with internal partners and taking lead on numerous initiatives. Finally, results and other analyses will be shared with various business executives to gain insights into the portfolio and share foresights and conclusions from the modeling and analytics.ESSENTIAL JOB FUNCTIONS
Develop, design, and/or leverage advanced modeling approaches, standard techniques for data inference and performance, and sophisticated statistical models
Perform complex data discovery utilizing AI and machine learning on large scale data lakes
Partner with business to provide meaningful insights and solutions for complex analytic needs
Deliver the message to partners using past trends to predict future behavior and link conclusions based on analyses to business impact
Communicate with modelers, business partners and stakeholders to gather knowledge and implement solutions
Identify and employ best practices
REQUIRED QUALIFICATIONS

Master’s degree (or its equivalent) in statistics, mathematics, economics, data sciences, or other quantitative disciplines and at least 1-2 years of relevant experience; or Bachelor’s degree (or its equivalent) and at least 3 years of relevant experience
Knowledge of statistics/econometrics and strong analytical ability
Ability to understand and develop statistical models in Python, R, SAS etc
Proficiency in the use of Microsoft Office, with more advanced experience in Excel
Strong data management skills
Track record of excellent time management and completion of complex projects
Strong communication, ability to work with highly technical staff from academia and business; Ability to work well in a team environment
Impeccable integrity, strong accountability, sound judgment, and strategic vision
PREFERRED QUALIFICATIONS
Familiarity with Climate Risk (Carbon emissions, Physical Risks, Transition Risks, etc.)
Familiarity of the Commercial and Industrial Lending (Institutional Banking, Middle Market etc.) and Real Estate portfolios
Understanding of drivers and predictors of deriving expected loss as well as knowledge of the banking sector in general
Familiarity with Cloud Analytics (e.g., Google Cloud Platform, Azure, AWS)
Familiarity with Current Expected Credit Loss (CECL) financial accounting standards
Familiarity with Tableau or other data visualizations platforms
EXPECTED COMPETENCIES

Leadership: Emerging leader across team; Provides direction/mentorship to interns

Partnering / Influencing: Proven relationship building ability; Strong interpersonal skills; Can participate in conversation with partners in the business, technology, etc.; Developing comfort with influencing and consulting typically within and across team

Business Acumen: Understands assigned LOB strategy; Possesses intellectual curiosity; Understands key drivers of financial results and business impact

Critical Thinking / Problem Solving: Leverages critical thinking and business acumen to provide solutions to increasingly more complex problems; thoroughly vets and thinks through options before making a decision

Communication: Strong writing skills; organizes material for brevity, persuasiveness, and impact; Effectively communicates key points to respective stakeholders, with the right amount of detail; Proactively shares information beyond those at the table who may have a need to know; Comfortable in situations where conflict is present; Demonstrated presentation development and delivery skills; Ability to create presentations that include the right data / information and tell the right story
#LI-RemoteCOMPENSATION AND BENEFITSThis position is eligible to earn a base salary in the range of $85,000 to $100,000 annually depending on job-related factors such as level of experience. Compensation for this role also includes eligibility for short-term incentive compensation and deferred incentive compensation subject to individual and company performance. Please click here for a list of benefits for which this position is eligible.KeyCorp is an Equal Opportunity and Affirmative Action Employer committed to building a diverse, equitable and inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other protected category. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.


Quantitative Analyst

About the Role
Quants at Clipboard Health develop, deploy, and monitor mathematical algorithms to clear per-diem transactions across labor markets. They are independent thinkers who can innovate rapidly in a domain with virtually no pre-existing literature.
This is a high ownership role, where contributors own pricing problems all on their own. They're expected to find clues, design solutions, run experiments, and deploy successful strategies to the entire marketplace at an extremely fast pace (every 1-2 weeks). Quants also talk to customers, write a lot to keep the organization updated on their thinking, and participate in weekly meetings where they report on the progress of their initiatives (in writing).
What is the Pricing Team?
The Pricing Team is a new team at Clipboard Health that builds real-time, automated systems to price (and reprice) each shift in the marketplace to reflect the evolving dynamic between labor supply and demand.
Qualifications
Our interview process is focused on two case studies. They are the cornerstone of how we evaluate candidates. The qualifications below are only meant to serve as a helpful benchmark.

B.A., M.A., or PhD in a quantitative discipline, or equivalent quantitative experience.
Experience programming, ideally with Python. JavaScript experience is helpful.
Ability to write complex SQL queries.
Deep understanding of probability theory.
1+ years of experience in a high-growth environment is preferred but not required. New graduates are welcome.

Benefits

Competitive compensation, in line with quant roles at financial firms
Equity in a high-growth startup
Meeting-light, remote culture
Unlimited vacation


Senior Data Scientist Automation

Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 90 billion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.

Now we’re looking for an exceptional Senior Data Scientist to join a new team focused on the development of our real-time bidder, one of the most exciting and important products within Chartboost. The system powering this product must deal with 100,000’s of requests per second and presents unique engineering challenges. In addition, the bidder requires use of machine learning models that are trained in batch and then used to power decision making in real-time.
Impact you will make:

Design and test predictive models and control algorithms at large scale that control real money and target specific financial goals
Guide development of campaign automation products that use increasingly sophisticated algorithms
Train, tune, and enhance production models written with Python and Scala
Explore and develop expertise with cutting-edge infrastructure (built and bought) for model development, deployment, and data observability
Propose and engineer new model features from our continuously growing and diversifying stores of data
Proactively identify opportunities for optimization, and own the scoping and implementation of solutions
Collaborate closely with Business, Product, Data, and Engineering teams to co-own the rollout of new product offerings
Develop and refine best practices for data processing, experimentation, monitoring, debugging, and analyzing data pipelines

Who you are:

BS degree in Engineering, Statistics, Math, Economics, Machine Learning or Computer Science
5 to 7 years of practical experience in a Data Science or Machine Learning role, and sound understanding of Data Science and Machine Learning principles
Experience with continuously-deployed and frequently-retrained production ML models or ETL pipelines for large and/or fast data
Experience designing and implementing successful data products
Strong data visualization and manipulation skills: you are able to distill a clear picture from disparate data sources reflecting a complex business
Intermediate Python proficiency for scripting and model prototyping; proficient with SQL

The following experience would be a plus:

Ad tech or mobile game industry
Control engineering

Perks:

The opportunity to help continue to build a company with the founding team
Comprehensive medical, dental and vision insurance
401(k) plan with match through Fidelity
Catered lunches and fully stocked kitchens
Commuter Program
Flex Vacation – personal time to refresh your mind/body/soul, spend time with loved ones and celebrate life events. There is no accrual or specific limit to the amount of time an employee may use

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


Data Scientist Automation

Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 90 billion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.

Now we’re looking for an exceptional Data Scientist to join a new team focused on the development of our real-time bidder, one of the most exciting and important products within Chartboost. The system powering this product must deal with 100,000’s of requests per second and presents unique engineering challenges. In addition, the bidder requires use of machine learning models that are trained in batch and then used to power decision making in real-time.
Impact you will make:

Design and test predictive models and control algorithms at large scale that control real money and target specific financial goals
Train, tune, and enhance production models written with Python and Scala
Explore and develop expertise with cutting-edge infrastructure (built and bought) for model development, deployment, and data observability
Propose and engineer new model features from our continuously growing and diversifying stores of data
Proactively identify opportunities for optimization, and own the scoping and implementation of solutions
Collaborate closely with Business, Product, Data, and Engineering teams to co-own the rollout of new product offerings
Develop and refine best practices for data processing, experimentation, monitoring, debugging, and analyzing data pipelines

Who you are:

BS degree in Engineering, Statistics, Math, Economics, Machine Learning or Computer Science
3 to 5 years of practical experience in a Data Science or Machine Learning role, and sound understanding of Data Science and Machine Learning principles
Experience with continuously-deployed and frequently-retrained production ML models or ETL pipelines for large and/or fast data
Strong data visualization and manipulation skills: you are able to distill a clear picture from disparate data sources reflecting a complex business
Intermediate Python proficiency for scripting and model prototyping; proficient with SQL

The following experience would be a plus:

Ad tech or mobile game industry

Perks:

The opportunity to help continue to build a company with the founding team
Comprehensive medical, dental and vision insurance
401(k) plan with match through Fidelity
Catered lunches and fully stocked kitchens
Commuter Program
Flex Vacation – personal time to refresh your mind/body/soul, spend time with loved ones and celebrate life events. There is no accrual or specific limit to the amount of time an employee may use

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


Sr Product Manager Data Science And Machine Learning

Clari takes pride in being the leader in Revenue Collaboration & Governance (RevCG) and providing the first platform to stop revenue leak and achieve revenue precision. With Clari’s Revenue Platform, all revenue-critical employees now have an enterprise system to run revenue. Forecasting, pipeline management, conversation intelligence, deal execution, coaching, and buyer collaboration (to name a few) are a maze of challenges made simple with Clari. Thousands of teams at leading companies worldwide, including Okta, Adobe, Workday, and Zoom use Clari to drive revenue accuracy and precision.

Clari's revenue operations platform enables experiences that are mission-critical for our users. It connects to our customer's most important business systems integrating data that we use to power our applications, analytics, data science, and APIs. We are building a platform of the future that lives and breathes data and intelligence which is instrumental in supporting our continued journey of explosive growth.

We are looking for a product manager who is passionate about data and machine learning to drive intelligence capabilities throughout our stack. In this role, you will have the opportunity to expand Clari’s data science capabilities and embed them throughout our platform.

This is a fully remote opportunity and can be worked from any location in the United States.

Responsibilities

Drive the vision and roadmap for data science in the Clari platform
Partner with engineering on approaches to leverage machine learning
Partner with product managers to maximize the impact of intelligence throughout our targeted revenue process applications
Develop tight working relationships with customers, partners, and internal stakeholders, ensuring that we’re solving our users’ and customers’ most pressing problems
Collaborate with Product Marketing, Growth, and GTM teams to shape and execute go-to-market strategies
Ensure that our data science solutions are built for trust, scale, extensibility, and reliability
Leverage data from multiple sources to inform product decisions and drive customer adoption
Set targets for product adoption & impact, and work with success teams to ensure our product goals are met

Qualifications

4+ years of SaaS product management experience, from inception to delivery
2+ years of data science/machine learning experience (e.g. time series analysis, HMM, Deep Learning for classification, and NLP)
Experience managing complex stakeholder relationships, including engaging with users, customers, partners, and industry analysts
Working familiarity with databases, data management, and modern API-based software architectures
Working familiarity with modern ML development stack, open-source libraries, and hosted ML services (e.g. Tensorflow, PyTorch, NumPy, AWS Sagemaker, DataRobot, etc.)
Experience delivering systems optimized for scalability and extensibility
Strong written and verbal communication skills with a forte for breaking down complex technical problems
Outstanding presentation skills with the ability to communicate business and technical topics and adjust to diverse audiences

Work-Life and Benefits @ Clari

Remote-first with opportunities to work and celebrate in person
Medical, dental, vision, short & long-term disability, Life insurance, and EAP
Mental health support provided by Modern Health
Pre-IPO stock options
Wellbeing and professional development funds
Retirement 401(k) plan
100% paid parental leave, plus fertility and family planning support provided by Maven
Discretionary paid time off, monthly ‘take a break’ days, and Focus Fridays
Focus on culture: Charitable giving match, plus in-person and virtual events

#BI-Remote #LI-Remote

You’ll often hear our CEO talk about being remarkable. To Clari, remarkable means many things. We believe in providing interesting and meaningful work in a nurturing and inclusive environment. One that is free from discrimination for everyone without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, or veteran status. Efforts have to be recognized. Voices have to be heard. And work-life balance has to be baked into the very fiber of the company. We are honored to be recognized by Inc. Magazine and Bay Area News Group as a best place to work for several years running. We’d love to have you join us on our journey to remarkable!

If you feel you don’t meet 100% of the qualifications outlined above, we want you to apply! Clari believes in hiring people, not just skills. If you are passionate about learning and excited about what we are doing, then we want to hear from you.

Clari focuses on culture add, not culture fit. One of our values is One with Customers, and we know we can serve them better when we involve as many different perspectives as possible. Our team is made stronger by what makes you unique, so we hope you’ll bring your whole self to the job.


Senior Data Scientist

Who We Are
Red Canary was founded to create a world where every organization can make its greatest impact without fear of cyber threats. We’re a cyber security company who protects, supports and empowers organizations to make better security decisions so they can focus on their mission without fear of cyber threats.

The combination of our market-defining technology and expertise prevents breaches every day and sets a new standard for partnership in the industry. We’re united in our commitment to customers and grounded in our values, which earned us a place on the Forbes Best Start-up Employers 2022 list.  If our mission resonates with you, let’s talk.

What We Believe In
- Do what’s right for the customer
- Be kind and authentic
- Deliver great quality
- Be relentless

Challenges You Will Solve

Red Canary is looking for a Senior Data Scientist to work alongside our CIRT and Threat Intelligence teams to design, build, and manage innovative tooling which enables positive security outcomes for our team and customers.

In this role you will be responsible for manipulating and analyzing complex, high-volume data from our security operations platform. You will help drive a deeper understanding of Red Canary’s telemetry, develop and validate predictive machine learning models, improve existing approaches based on statistical methods, and partner with our CIRT to onboard and deploy tooling into production.

If you love data, cyber security, and having a direct impact on stopping cyber attacks at scale this is the role for you!

What You'll Do

Work with large, complex data sets.
Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
Build and prototype analysis pipelines iteratively to provide insights at scale.
Train, validate, and tune predictive models related to data processed through the Red Canary security platform.
Translate operational challenges into data pipelines and model frameworks.
Deliver value to the business by transforming complex data into meaningful insights to power Red Canary products and customer security outcomes.
Develop tooling that integrates into our Detection Engineering processes to help improve process efficiencies.

What You'll Bring

6+ years of relevant experience in Data Science.
6+ year(s) experience developing and deploying code to live production systems, ideally as part of a product team.
5+ years experience with a deep learning framework
Has developed and deployed large scale real-time data pipelines and ETL tooling in production for a variety of applications
Expert in performant, scalable data warehousing, data modeling and database design
Comfortable with web service providers like AWS or GCE
Familiar with CI/CD pipelines, infrastructure as code and container orchestration
Familiar with microservice architecture and REST API design
Expert knowledge with statistical tools or packages: Python (strongly preferred; pandas, scipy, numpy, scikit-learn, etc), R
Experience with predictive models and performing data analysis
Familiarity with deploying and maintaining models and data pipelines (Airflow, Argo, Kubernetes, etc.)
Experience programmatically structuring and cleaning data, and not just analyzing highly cleaned data sets
You're a self-starter, highly accountable and will take ownership of delivering your work
Strong understanding of building models, ability to validate and measure efficacy of models via various metrics, and the knowledge to know what metrics make sense for which situation
A strong foundation in probability, statistics, and algorithm development
Programming skills that allow you to be self-sufficient in handling large datasets (Python, SQL, Scala, Java)
Experience with Vector search databases is a plus.

Targeted base salary range: $135,000 - $165,000 + bonus eligibility and equity depending on experience

Why Red Canary?
Red Canary is where people embody our mission to improve security outcomes for all. People work hard to maintain a culture that encourages authenticity in order to do your best work. Our people are driven and committed to finding the best security outcomes, delivering real and actionable answers, and being transparent along the way.

At Red Canary, we offer a very rich benefits program to our full-time team members so they can focus on their families and improving our customers’ security. For a full list of benefits, please review our Benefits Summary:
https://resource.redcanary.com/rs/003-YRU-314/images/BenefitSummary2022forRecruiting.pdf

Individuals seeking employment at Red Canary are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.


Senior Data Scientist

Introduction to Demandbase:
Demandbase is the Smarter GTM™ company for B2B brands. We help marketing and sales teams overcome the disruptive data and technology fragmentation that inhibits insight and forces them to spam their prospects. We do this by injecting Account Intelligence into every step of the buyer journey, wherever our clients interact with customers, and by helping them orchestrate every action across systems and channels - through advertising, account-based experience, and sales motions. The result? You spot opportunities earlier, engage with them more intelligently, and close deals faster.
As a company, we’re as committed to growing careers as we are to building world-class technology. We invest heavily in people, our culture, and the community around us. We have offices in the San Francisco Bay Area, New York, Seattle, and teams in the UK and India, and allow employees to work remotely. We have also been continuously recognized as one of the best places to work in the San Francisco Bay Area.
We're committed to attracting, developing, retaining, and promoting a diverse workforce. By ensuring that every Demandbase employee is able to bring a diversity of talents to work, we're increasingly capable of living out our mission to transform how B2B goes to market. We encourage people from historically underrepresented backgrounds and all walks of life to apply. Come grow with us at Demandbase!
About the Role:
You will be a member of Demandbase’s Central Data Science team that drives product innovation and is responsible for all ML/AI initiatives and projects. We build and apply ML models at every stage of the B2B buyer’s journey. Starting from the top of the funnel, Data Scientists build account rank models to score tens of millions of companies and also recommend companies that aren’t yet in their CRM. Our Data Scientists apply cutting-edge natural language processing algorithms and deep learning models to predict whether a company is interested in our clients' products even before they visit their site. Once ML-generated account lists are built, we launch campaigns to generate awareness and traffic to target sites.
Our Data Scientists build pacing, pricing, click-through rate, and engagement models using tens of billions of auctions daily to optimize campaign performance. We build reinforcement learning algorithms to optimize the user experience when potential prospects click on ads/banners and visit our customers’ websites.
Our Data Scientists build real-time intent using time series analysis to trigger an alert for sales after potential prospects share their contact information, to contact prospects when there’s an intent surge. ML models are a significant differentiator for each of our offerings in the ABM platform, Targeting, Conversion, and Intent products.  Our Data Scientists not only build ML models, but are also substantially involved in productizing the models, and working closely and cross-functionally with data engineering, application, product, and UX design teams to deliver the world’s best account-based marketing and advertising product.
Below are examples of some of the types of projects you can expect to work on:

Identification and account intelligence: map billions of IPs and cookies to companies
Rank accounts in B2B buying journey
Intent: develop a browsable taxonomy of intent signals

What you'll be doing:

Develop Machine Learning algorithms that optimize and make an immediate business impact on KPIs.
Build, test, and deploy custom ML/AI models and algorithms on large datasets, and develop processes for monitoring and analyzing their performance in production environments.
Communicate algorithms, complex data science methods, and statistical results with technical and non-technical audiences.
Stay current with the latest technology/research and drive innovation.

What we're looking for:

3+ years of data science experience
Background in Statistics, Computer Science, Machine Learning, Mathematics, Computational Psychology, Operational Research, Physics, or relevant field
Driven more than one greenfield project from concept to production release
Proficiency with analytical and database tools (e.g. Jupyter notebooks, Hive, SQL, No-SQL)
Demonstrated ability to write clean and performant code in Python
Depending on the project you work on, experience with 1 or more of these AI/ML technologies: TensorFlow, scikit-learn, Spark MLlib, Bigquery Machine Learning, large-scale data sets, Natural Language Processing and Graph algorithms.

Nice to have skills:

Experience leading teams and projects
Experience with Google Cloud or AWS
Prior experience in Martech/Adtech space

Nice to have qualities:

You are highly self-motivated and able to operate with significant autonomy
You are able to break down complex problems and come up with simple innovative solutions
You are able to focus on the goals without getting lost in the details
Data is your thing, you love metrics and use metrics to drive projects
You are willing to build end-to-end and own the machine learning products you build or help build

Benefits:
Our benefits include options for up to 100% paid Medical, Dental, and Vision premiums for you and your entire family, $1,000 personal development stipend, flexible PTO policy, no internal meeting Fridays, Modern Health mental wellness platform, Headspace, Ginger, and 13 paid holidays and 2 additional weeks where all Demandbase employees take off (week of July 4th and Thanksgiving). Plus 401(k), short-term/long-term disability, life insurance, and all those good things.


Director Of Data Science Money

About the role
Throughout this journey, the Data Science & Engineering organization has evolved into one of the most influential and impactful entities within Shopify. As one of the inaugural teams, the data science team focussed on our Money product line helped define what was possible when merchant data was used to solve one of the most pressing problems faced by entrepreneurs - access to capital.  Today, it is responsible for lending billions of dollars to merchants every year - all powered by data-driven features.
We are now looking for a Director of Data Science to take the Money Data team to the next stage in their journey. You’re inheriting a large business and a high-performing team on day one, but we expect you to play a foundational role in the next evolution that will allow us to change the global trajectory of commerce.  Simply put, you’ll be shaping the future of banking for entrepreneurs while also powering Shopify’s business itself.
You will be:
Leading a team of super-talented data scientists and engineers.
Owning a portfolio of billions of dollars of capital to deploy in the service of merchants across the globe.
Delivering data and insight that is critical to the strategic decision making process across all levels of the organization.
In partnership with product managers, engineers, and designers, building product experiences that empower merchants financially.
This unique role combines global scale in a hyper-growth and fully remote environment. For the right individual this is the challenge and the opportunity of a lifetime.
This role will be working closely with:
Kaz Nejatian, VP Product (Merchant Services)
Brian Crescimanno, Director of Engineering (Merchant Services)
Mike Develin, Head of Data Science (Merchant Services)
Qualifications
You’ll Need To Have:
Organizational development – You’ll need a demonstrated track record of scaling and leading a best-in-class, diverse data organization, and building the leaders of the future.
A career path that may have included both large process-rich organizations and smaller, fast-moving companies. The ideal candidate will have been successful in both settings and can meld the best of large and lean.
Product mindset – You have a product gene that enables you to get to the root of problems faced by customers and users and to create data solutions to solve these challenges.
Well-balanced skills – People have trouble pinning you down. Both business and technical teams claim you as their own. You are equal parts technical and functional (and both are exceptionally strong), and you are equally comfortable and effective at presenting to technical or business leaders.
It would be great if you have previous experience with:
Building data-driven products and services within the fintech space
Applying machine learning algorithms in a large-scale production setting
General understanding of data infrastructure, such as Kafka, Spark, BigQuery, Presto, Tensorflow
Closing date: Monday, November 7 at 11:59PM EDT
If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.
All your information will be kept confidential according to EEO guidelines.
At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
#LI-REMOTE
Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.


Nlp Data Scientist

Are you a data scientist who’s eager to innovate and build scalable solutions that could support the next hit movie, TV show or video game? Is NLP your jam?
StoryFit is an Austin-based growth-stage startup that uses supervised machine learning and NLP to produce actionable data and audience insights that is changing the way entertainment clients acquire, develop, and drive growth and performance for their IP.
We are looking for an exceptional data scientist with extensive ML/NLP experience to work closely with our product team to develop and implement ML/NLP algorithms that impact the decision-making process for entertainment professionals.  You will be responsible for building, measuring, and optimizing the quality of StoryFit’s algorithms. We are focused on high-impact projects utilizing big data analytics and machine learning to improve discovery, evaluation, and predictive outcomes.
We’re looking for:
A motivated, results-oriented Data Scientist with strong rigor and demonstrable skills in experimentation, ML, NLP, data mining, and/or large-scale distributed computation and enjoy peering into the future and shaping its outcomeSomeone who is adept at making complex concepts simple and easy to understand, has exceptional technical writing skills, and is driven to show the world the power of applied analytics
Key Responsibilities:
Develop machine learning (ML) models using natural language processing (NLP) that will be integrated into our automated processesServe as a technical leader providing insight into leading analytic practices, design and lead iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become part of our core deliverablesWork with cross-functional team members to identify and prioritize actionable, high-impact insightsUse Python and ML/NLP technologies to perform analytics on content narrative and dialogueSearch through large data sets and transform data to make it more appropriate for analysisExplore data in order to deeply understand the phenomenon being modeled, and the validity and reliability of the inputs.Develop models that can go directly into production, and build working prototypes.Validate models against alternative approaches, expected and observed outcome, and numerous directly and indirectly relevant business defined key performance indicators.Review models of peers for the purpose of reducing and managing risk to the business, and maximizing improvement of business practice and customer experience.Build processes to provide business stakeholders timely, relevant insights, scenarios and recommendations.
Ideal Candidate will have :
Master’s degree or similar level experience in Data Science, Machine Learning, Mathematics, Computer Science, Statistics, or another relevant quantitative field3+ years of experience as a Data Scientist/Machine Learning EngineerA strong knowledge of Natural Language Processing (NLP) including experience creating practical models solving problems like contextual emotion detection, converting text into a timeline, aspect-based sentiment analysis, stance detection, co-reference resolution, etc.Proficiency with Python (scikit-learn, SpaCy, NLTK, genism, AllenNLP, etc.)Experience with a deep learning framework (Tensorflow, Pytorch, etc.), deep learning architectures (RNNs, CNNs, Transformers, etc.) and platforms (e.g. Hugging Face)Experience with SQL, databases, and other data management toolsA deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms


Senior Decision Scientist

Overview
Full time
     Individual Contributor
     Digital and Technology Group
This role is remote eligible, which means you would work virtually from home or another non-Best Buy location.The Data Services team mission is to unify data across the enterprise to optimize business decisions made at the strategic, tactical, and operational levels of the organization. We accomplish this by providing an Enterprise Data Warehouse, reporting platform, and business processes that provide quality data, in a timely fashion, from any channel of the company and present them in such a manner as to maximize the value of that data for both internal and external customers.As a Senior Decision Scientist, you are responsible for designing and developing moderate to complex Business Intelligence reporting to facilitate business operations. You will also be part of a team working with new data technologies and tools like Tableau, Alteryx, Spark, Scala, HBase, Hadoop, HDFS, MongoDB and others to provide faster, more accurate, and deeper insights into our products and services. As a member of the growing data services and business analytics team, the person in this role will be a key contributor to the successful deployment of strategic future state capabilities critical for our business. As a Senior on the team, you will coach and mentor less experienced developers in reporting duties.
Responsibilities
Design, develop and test moderate to complex Tableau dashboards and data visualizations.Leverage established guidelines and custom designs to create complex formulas and calculations to meet the needs of the business.Design, develop, and test moderate to complex reports using a variety of tools, which include Tableau, Alteryx, Transact-SQL, SSIS, Stored Procedures and Functions in SQL Server 2014 and later environments. Contribute to the definition and development of the overall reporting roadmap.Translate reporting requirements into reporting models, visualizations and reports by having a strong understanding of the enterprise architecture.Standardize reporting that helps generate efficiencies, optimization and end user standards.Work with minimal guidance to meet or exceed the User expectations by designing effective and maintainable solutions that meet reliability, accuracy and performance standards based on gathered requirements.Integrate dashboards and reports from a variety of sources, assuring that they adhere to data quality, usability and business rule standards.Determine methods and procedures on new or existing requirements and functionality with little to no guidance.Work closely with analysts and data engineers to identify opportunities and assess improvements of our products and services.Drive workshops or training sessions with the business user community to further their knowledge and use of Reporting and Visualization tools. Produce and maintain accurate project documentation. Collaborate with various data providers to resolve dashboard, reporting and data related issues.Perform Data Services reporting benchmarking, enhancements, optimizations, and platform analytics.Develop from strategic and non-strategic data sources including data preparation/ETL and modeling for data visualizations in a self-service platform.Participate in the research, development, and adoption of trends in reporting and analytics.Mentor BI Developers and BI Analysts
Minimum Qualifications
3 or more years of experience in technology, analytics, software or product development, technical architecture or engineering3 or more years creating reports, dashboards, and/or summarizing large amounts of data into actionable intelligence to drive business decisions 3 or more years with MSSQL Server, MySQL, Snowflake, Oracle or PostgreSQL 1 or more years with visual data analysis using tools such as Tableau, Alteryx, PowerBI or other Business Intelligence platforms
Preferred Qualifications
5 years of experience in technology, software or product development, technical architecture or engineering5 or more years creating reports, dashboards, and/or summarizing large amounts of data into actionable intelligence to drive business decisions 5 or more years with MSSQL Server, MySQL, Snowflake, Oracle or PostgreSQL 5 or more years with visual data analysis using tools such as Tableau, Alteryx, PowerBI or other Business Intelligence platforms 5 or more years administrating reporting application platformsExperience with public or hybrid cloud environments are a plus.Experience with big data technologies like Spark, Scala, Kafka, Hbase, Hadoop, HDFS, AVRO, MongoDB and Redshift are a plus.Bachelor's degree in IT, Computer Science, Engineering, or related field OR equivalent combination of education and/or experience
Best Buy is driven to enrich people’s lives through technology. More than ever before, people need technology to connect, work, create, and learn. We provide incredible customer experiences where and when they need us, drawing on our rich legacy of using technology to drive outcomes that delight our customers. Our team of over 5,000 engineers in Digital & Technology fuels the growth and innovation needed to create these exceptional experiences, as the needs and context of our customers change.
You’re likely motivated by this momentum in change and are inspired by what technology can do for people. We are, too! We embrace a culture of rapid experimentation and constantly strive for improvement. You'll work in a collaborative, agile environment—one that fosters inclusion, encourages diversity of thought, and a passion for individual growth and mentoring others. We welcome your industry experience and outside perspectives that will contribute to our ongoing transformation.
Auto Req. ID886895BR
Location Number905010 BBYHealth San Diego CA
Address10945 Vista Sorrento Pkwy Suite 120
CitySan Diego
StateCA
Pay Range$105,600 - $189,100/yr


Principal Data Scientist Forecasting

About Us:
As a Fortune 50 company with more than 350,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.
Working at Target means the opportunity to help all families discover the joy of everyday life. Caring for our communities is woven into who we are, and we invest in the places we collectively live, work and play. We prioritize relationships, fuel and develop talent by creating growth opportunities, and succeed as one Target team. At our core, our purpose is ingrained in who we are, what we value, and how we work. It’s how we care, grow, and win together.
Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities.
Join our global in-house technology team of more than 4,000 engineers, data scientists, architects, coaches and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests—and we do so with a focus on diversity and inclusion, experimentation and continuous learning.
A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on.
Every Scientist on Target’s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, to elevate Target’s culture, and apply retail domain knowledge.
As a Principal Data Scientist on the Forecasting team, you’ll influence by interacting with Data Sciences leaders, technical leaders outside of Data Sciences, business leaders, and other Data Sciences products leaders. You will perform within the scale and scope of your role by identifying the problem, being the architect of the solution, influencing the portfolio, contributing to Data Sciences’ and Target’s values by modeling, contributing, and elevating the culture. You’ll get the opportunity to use your deep expertise in multiple areas from the following: machine learning, probability theory & statistics, optimization theory, Simulation, Econometrics, Deep Learning, Natural Language processing or computer vision. As you establish best practices/programming principles and advocate for best software engineering practices, you’ll drive adoption of the latest science methodologies across retail problems. You will perform end-to-end technical architecture for scalable and performant Data Science solutions and integrate patterns into technology applications. You’ll design and drive core data science modules to enable easy re-use across multiple products/models to ensure modeling consistency and determine technology strategy while articulating how technical strategy aligns with business goals. We’ll look for you to help in technology evaluation and selection, as well as in creating technical product architectures, negotiate with Product Managers (PM) to ensure that the team has bandwidth to identify, prioritize and eliminate technical debt, and partner with business teams to translate business challenges into technical solutions. In addition, you will also model the impact of price changes on demand forecasts.
You’ll partner with product/business in identifying the relevant problems to solve in their domain and with other Principals and leaders in identifying and solving for cross-product/domain optimization opportunities. While you serve as a Data Sciences ambassador across the enterprise, we’ll look to you to showcase Data Science capabilities in broader Target forums and technical communities outside Target, invest in mentoring and career growth guidance for individual contributors and future technical leaders, and provide technical guidance to team and to leaders. Through your understanding of what other teams within Data Sciences do, you’ll identify opportunities to drive cross-product efficiencies, understand the dependency between various applications/business processes and opportunities from cross-product optimization and develop deep understanding of multiple product areas that are inter-connected. The exciting part of retail? It’s always changing! Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.
About you:
4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) and 9+ years of professional experience or equivalent industry experience PhD degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) is preferred7+ years of experience in modeling and algorithm designSignificant expertise in linear algebra, statistics, information theory, econometrics, time series modeling, especially in statistical inference, generalized linear models, Markov decision processesHighly proficient in Python, Scala, Kotlin and/or JVM ecosystemDeep understanding of data structures and algorithms Ability to test and measure algorithms/models
Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives
This position may be considered for a Full-Time Remote or Hybrid work arrangement based on Target’s needs. A Hybrid work arrangement means the team members core role will be a blend of virtual and onsite at a Target location. A Full-Time Remote work arrangement means the team member works full-time from home or an alternate location that’s not a Target location, does not have a desk at their primary HQ work location and may travel to HQ up to 4 times a year.
The salary range is $119,500-$215,100.
Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Find competitive benefits from financial and education to well-being and beyond.
Americans with Disabilities Act (ADA)
Target will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required to comply with applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Target store or Distribution Center or reach out to Guest Services at 1-800-440-0680 for additional information.


Sr Data Scientist Merchandise

Join Target’s Data Science team where your goal will be to support Merchandise stakeholders with data science solutions that drive profitability for Target.  You will build strong partnerships to ensure trust and understanding of data science insights and model outputs. You will enable continuous innovation and drive business performance through the application of Data Science methods and principles.
A role with Data Science is a chance to help develop our in-house strength for getting the maximum value from Target’s many data assets.  We see data as a product and an opportunity to experiment and refine our approach to guest experiences.  Together, we positively influence a wide array of merchandising and planning decisions. This is a role for someone passionate about data, problem solving and business strategy.
As a Senior Data Scientist in Data Science you’ll:
Serve as an advocate of our data-driven culture with Product, Business and Engineering to help them utilize insights that’ll direct their efforts towards initiatives with highest impacts.Develop statistical models to drive efficient analysis practices, providing metrics on model performance.Execute solutions to business problems using data analysis, data mining, forecasting, optimization tools, and machine learning techniques and statistics.Analyze and explore data in our Hadoop ecosystem, work with the product manager to design in-product experiments, analyze the results, and provide strategic recommendations.Synthesize analysis and results in compelling storylines and communicate to key stakeholders. You should have the ability to tell a story around the problem, the solution and the impact and value of implementing a solution.Partner closely with our Product Managers and/or business partners to identify gaps in product offering by conducting comprehensive data analysis, and accelerating the analytics maturity (predictive & prescriptive) in key product areas.Define data to be collected for measuring the success of new product features or business strategies, define KPIs, and work with engineering on tracking and instrumentation of data.Strive for query optimization problems on large data sets.Democratize data and insights as you strive to deliver self-service tools to your partners and enable them to make better decisions quicker.
Requirements:
M.S. in Mathematics, Statistics, Physics, Bio Statistics, Operations Research and/or Computer Science3+ years of experience deploying algorithms in a production environmentExperience designing algorithms on a Hadoop ecosystem4+ years of experience using data science and technology approaches to solve real business problemsProficiency at scale with the following: SQL, Python, R, Hadoop, Spark, Hive, visualization software, etc.Understand technical and analytical approaches - predictive modelingExcellent communication skills with the ability to speak to both business and technical teams as well as clearly translate ideas between themComfort with ambiguity and open-ended problems
This position may be considered for a Full-Time Remote or Hybrid work arrangement based on Target’s needs. A Hybrid work arrangement means the team members core role will be a blend of virtual and onsite at a Target location. A Full-Time Remote work arrangement means the team member works full-time from home or an alternate location that’s not a Target location, does not have a desk at their primary HQ work location and may travel to HQ up to 4 times a year.
Colorado, Connecticut or Nevada Residents Only: The salary range for Colorado, Connecticut or Nevada residents is $87,600 to $157,700.00 Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Find competitive benefits from financial and education to well-being and beyond.
Americans with Disabilities Act (ADA)
Target will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required to comply with applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Target store or Distribution Center or reach out to Guest Services at 1-800-440-0680 for additional information.


Sr Data Scientist Computer Vision

JOIN US AS A SENIOR DATA SCIENTIST – COMPUTER VISION
About Us:
The Target Data Sciences - Advanced Machine Learning and Vision team is a fast growing and dynamic team!  Our data scientists work to create valuable retail insights through state-of-the-art mathematical models powered by cutting-edge AI technologies.  Business teams and leaders - empowered with these insights and solutions, provide joy and ease of everyday shopping to all Target guests!
As a Senior Data Scientist – Computer Vision, you’ll be expected to research and develop software solutions for computer vision, natural language understanding, and other machine learning based products.  You will create solutions using Agile practices and DevOps principles.  Responsibilities will include model development, designing, programming, debugging and supporting high quality, distributed, large scale software solutions.  We’re looking for a highly-motivated research/engineering professional who is a team player and can engage with both technical and business team members.
Key Responsibilities:
Develop classical and deep computer vision models for visual embedding, object detection, segmentation, 3D computer vision, etc.Prototype, design, and own individual components of a larger ML solutionWorkflow management using Oozie, Hadoop, SlurmEmbrace the needs of the customers and stakeholders and take ownershipEnsure that quality of code meets standards and guidelinesCollaborate with internal partner organizations in developing an integrated solutionDevelop AI related software systems using continuous integration and continuous deployment practicesFollow agile methodology for software development and technical documentationInnovate constantly and stay current with latest technologies while focusing on solving problems at hand
Requirements:
MS in Computer Science, Computer Vision or equivalent work experience3 plus years of experience with developing and deploying machine learning models (preferably Computer Vision solutions) in an industrial or academic settingUnderstand application/software development and designAbility to test and measure algorithms   Strong leadership, organization, and communication skillsTeam-player with a growth mindset
Preferred qualifications:
PhD in Computer Science, Computer Vision, Image or equivalent work experienceExperience working on Big Data technologies like Hadoop, Spark and Hive and working knowledge of DockerKnowledge and experience with production ready data driven applications that are observable, maintainable, and scalableProficiency in at-least one of the following languages: Python, R, Java or Scala
Why grow your career with Target Data Sciences?
You will work directly on the AI/ML problems that have the most impact on Target's entire Digital/Target.com and Mobile, Supply Chain, Forecasting and Merchandising teams at the grandest scale.  We value diversity!  We believe that diversity and inclusion is of core importance when we create positive in-store experiences for our guests, and we think it is also critically important when building our teams. Read more about our commitment to diversity and inclusionWe love open source! Many of our team members contribute to open source communities and get to do it during work time. We try to contribute back to our communities where we can and are grateful to be able to open source some of our own projects!
This position may be considered for a Full-Time Remote or Hybrid work arrangement based on Target’s needs.  A Hybrid work arrangement means the team members core role will be a blend of virtual and onsite at a Target location. A Full-Time Remote work arrangement means the team member works full-time from home or an alternate location that is not a Target location, does not have a desk at their primary HQ work location and may travel to HQ up to 4 times yr.
Colorado, Connecticut or Nevada Residents Only: The salary range for Colorado, Connecticut or Nevada residents is $82,000 to $147,000.  Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Find competitive benefits from financial and education to well-being and beyond.
Americans with Disabilities Act (ADA)
Target will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required to comply with applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Target store or Distribution Center or reach out to Guest Services at 1-800-440-0680 for additional information.


Sr Data Scientist Demand Forecasting

About us:
Target is an iconic brand, a Fortune 50 company, and one of America’s leading retailers. Target as a tech and data company? Absolutely!  We’re the behind-the-scenes powerhouse that fuels Target’s passion and commitment to cutting-edge innovation.  We anchor every facet of one of the world’s best-loved retailers with a strong technology framework that relies on the latest tools and technologies—and the brightest people—to deliver incredible value to guests online and in stores.  Target’s Tech and Data Sciences teams are on a mission to offer the systems, tools, and support that guests and team members need and deserve.  Our high-performing teams balance independence with collaboration and we pride ourselves on being versatile, agile, and creative.  We drive industry-leading technologies in support of every angle of the business and help ensure that Target operates smoothly, securely, and reliably from the inside out.
About the role:
As a Senior Data Scientist on the Demand Forecasting team with Target Data Sciences, you’ll develop models and algorithms for our retail business. You’ll work closely with partner team data scientists and Merch business partners to continuously learn more about our business and particularly develop an understanding of the various processes we have in play. You will partner with ML Engineers and Applied Scientists on our partner teams to build solutions for business needs including development, deployment, and maintenance of algorithms and models at scale!
Our team oversees the creation and development of the Demand Forecasting quantitative platform, building the key components which allow us to evaluate the demand and prices of our products and proprietary ‘new ventures’ products.  We aim to develop these tools to be more efficient and precise – while also making them directly available to our business team users, allowing us to quickly respond to our Guests’ needs in stores and online.
In this role at Target as a Senior Data Scientist, you’ll:
Change the way demand forecasting and pricing is originated in retail in Target Data SciencesCreate our next generation demand and pricing platform at a Fortune 50 companyWrite code for math/stats models to evaluate demand for millions of items and compute pricesPartner with business users and other scientists / engineers to build a framework allowing us to develop a new platform to more efficiently estimate demand and price on the flyImpact our business by improving our ability to serve our Guests and by directly reducing compute cost through more efficient algorithmsCoordinate the analysis, troubleshooting, and resolution of issues in our software and the broader infrastructure
What we're looking for:
M.S/Ph.D. in Mathematics, Statistics, Operations Research, Economics, Physics, Computer Science, or in a related Mathematical or Computational Engineering major (or equivalent research experience)2+ years of experience in building forecasting models, artificial intelligence models, optimization algorithms or equivalent school experienceProficient in one or more of R, Python, C++, Java, Scala or equivalent programming language Understanding of data structures and algorithms Knowledge of linear algebra, statistics, information theory or related mathematical domains Understand deep learning, dynamic programming, reinforcement learning or related areasAbility to test and measure algorithms   Excellent written and verbal communication skills
Bonus Points:
Strong quantitative skills including specific experience with Statistical Inference, Generalized Linear Models, Markov Decision ProcessesExperience working with large event-driven distributed systems and multi-threaded applications.
Why grow your career with Target Data Sciences?
You will work directly on the data science problems that have the most impact on Target's entire supply chain, forecasting and merchandising teams. We value diversity. We believe that diversity and inclusion is of core importance when we try to create positive in-store experiences for our guests, and we think it is also critically important when building our teams. Read more about our commitment to diversity and inclusionWe love open source! Many of our team members contribute to open source communities and get to do it during work time. We try to contribute back to our communities where we can and are grateful to be able to open source some of our own projects!  We value our team members for who they are, not just what they can get done. We treat our team members like people, not like cogs in a machine. We are parents, hobbyists, enthusiasts, family members, and community members, and can offer flexibility to our team members' schedules and work arrangements so that they can flourish both inside and outside of work.
This position may be considered for a Full-Time Remote or Hybrid work arrangement based on Target’s needs. A Hybrid work arrangement means the team members core role will be a blend of virtual and onsite at a Target location. A Full-Time Remote work arrangement means the team member works full-time from home or an alternate location that’s not a Target location, does not have a desk at their primary HQ work location and may travel to HQ up to 4 times a year.
Colorado, Connecticut or Nevada Residents Only: The salary range for Colorado, Connecticut or Nevada residents is $87,600 to $157,700.00 Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Find competitive benefits from financial and education to well-being and beyond.
Americans with Disabilities Act (ADA)
Target will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required to comply with applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Target store or Distribution Center or reach out to Guest Services at 1-800-440-0680 for additional information.


Lead Data Scientist Digital Marketing

As a Lead Data Scientist in our Digital and Marketing Core Capabilities team, you will develop machine learning models and algorithms for next-gen capabilities that are cross-cutting to multiple, high impact product areas for Target including Recommendations, Personalization, Search, and Marketing. You will work with business partners, data science product teams, and other data scientists and engineers to gain an understanding of our business needs and technology processes. You will build end-to-end AI/ML solutions to meet those needs, including development, deployment, and maintenance of algorithms and models at the grandest scale!
In this role, you’ll translate your knowledge of deep learning from the fields of Computer Vision and Natural Language Processing into reusable data science assets that impact millions of Target guests on a daily basis. You will get to work with the latest research and technology as your solutions will drive the next generation of guest experiences and business insights with a diverse, global team.
Following are the specific job duties:
Analyze multi-modal data sets to formulate and validate statistical hypotheses and to find patterns and other actionable insightsLeverage your in-depth understanding of modern neural networks (transfer learning, representation learning, multi-task learning, multimodal learning, metric learning) to design and implement application-specific solutionsScale deep learning models to learn from large data sets, work with ML engineers to optimize these models for efficient performanceTest, validate, and deploy these models on modern computer hardware (GPUs, for example)Collaborate with other data scientists and ML engineers to solve high-impact business problems and to create operational efficienciesPartner and closely communicate with internal stakeholders and cross-product teams in stitching together end-to-end technical solutionsFollow agile methodology to build high quality technical productsKeep abreast with the relevant work and research in the industry as well as in academia
About you:
MS or PhD in Computer Science, Applied Mathematics, Statistics, or equivalent quantitative and foundational expertise5+ years of experience in building and optimizing Machine Learning models to solve complex business problemsProficient in Python, R, Java or equivalent programming languageExtensive hands on experience working with modern Deep Learning frameworks: Tensorflow and PyTorchExpert in creating Deep Learning -based NLP and CV modelsTheoretical and practical understanding of modern neural network architectures in transfer learning, representation learning, multi-task learning, multimodal learning, metric learningAble to adopt and modify publicly available Deep Neural Network (DNN) architectures for internal application needsDemonstrated ability to develop large scale ML models and deploy them to productionAbility to test, measure, and monitor performance of algorithms - including in productionDemonstrated experience in working with business teams and in driving value to business through analytical methodsAble to produce reasonable documents/narrative suggesting actionable insightsExcellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narrativesSelf-driven and results oriented; able to meet tight timelinesStrong team player with ability to collaborate effectively across geographies/time zones
About Us:
As a Fortune 50 company with more than 350,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.
Working at Target means the opportunity to help all families discover the joy of everyday life. Caring for our communities is woven into who we are, and we invest in the places we collectively live, work and play. We prioritize relationships, fuel, and develop talent by creating growth opportunities, and succeed as one Target team. At our core, our purpose is ingrained in who we are, what we value, and how we work. It’s how we care, grow, and win together.
Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities.
Join our global in-house technology team of more than 4,000 engineers, data scientists, architects, coaches, and product managers striving to make Target the most convenient, safe, and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests—and we do so with a focus on diversity and inclusion, experimentation, and continuous learning.
A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on.
Every Scientist on Target’s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, and to elevate Target’s culture and apply retail domain knowledge.
This position may be considered for a Full-Time Remote or Hybrid work arrangement based on Target’s needs. A Hybrid work arrangement means the team members core role will be a blend of virtual and onsite at a Target location. A Full-Time Remote work arrangement means the team member works full-time from home or an alternate location that’s not a Target location, does not have a desk at their primary HQ work location and may travel to HQ up to 4 times a year.
The salary range is $85,400-$153,700.
Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Find competitive benefits from financial and education to well-being and beyond.
Americans with Disabilities Act (ADA)
Target will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required to comply with applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Target store or Distribution Center or reach out to Guest Services at 1-800-440-0680 for additional information.


Lead Data Scientist Testing Measurement

About us:
Target is an iconic brand, a Fortune 50 company and one of America’s leading retailers.
Behind one of the world’s best loved brands, is a uniquely capable and brilliant team of data analysts, scientists, product owners and engineers. The testing and measurement team drives continuous innovation and business growth through experimentation using testing and measurement philosophy for Target stores, Target.com and Target Mobile.  The testing and measurement team plays a key role in identifying, testing and measuring the top growth opportunities at any given time.  We are here to help Target improve the guest experience, whether guests shop us in stores, on Target.com or on Target Mobile.
A role with Target’s testing and measurement team is a chance to help develop our in-house strength for quantifying the impact or minimizing the risk for a broad range of initiatives.  Sometimes those initiatives are customer-facing as our clients look to optimize their business, but other times we apply advanced analytical methodologies on the internal products and processes our data sciences teams develop.  We are in the process of adopting a responsible AI framework this person will champion and teach to others.  As such, this role will be independent of modeling teams and will develop an independent perspective measuring possible unintended consequences for a broad range of algorithms.
About the Job:
Partner ConsultationYou’ll work closely with business, analyst, scientist, and teams to identify and prioritize existing models for explorationThis requires someone passionate about data, modern customer prediction methods both online and offline, and the ability to bring objectivity to measuring impacts of current processes
Improve Decision MakingYou’ll define the approach, develop the roadmap and lead ongoing review routinesYou’ll design and deliver insights using a mixture of analytical and visualization techniques
Job duties may change at any time due to business and product needs
About you:
You are an expert in research areas such as measuring bias,  ethics governance, artificial intelligence, machine learning, artificial intelligence ethicsYou have deep applied experience with the customer predictive model process, including attribute screening, using 3rd party data attributes and the overall scoring processYou understand how to identify model bias, predictor drift and best practices for reporting on bothYou understand “protected class” predictors, and current industry trends across the data privacy conversation5-7 years of work experience in customer analytics, personalization, consulting, or data engineering rolesExperience with analytics tools such as: DOMO, Hadoop/Hive, R, Python, Spark, and equivalent technologiesBachelor’s degree with strong academic performance in a quantitative field; or strong equivalent experience
This position may be considered for a Full-Time Remote or Hybrid work arrangement based on Target’s needs. A Hybrid work arrangement means the team members core role will be a blend of virtual and onsite at a Target location. A Full-Time Remote work arrangement means the team member works full-time from home or an alternate location that’s not a Target location, does not have a desk at their primary HQ work location and may travel to HQ up to 4 times a year.
Colorado, Connecticut or Nevada Residents Only: The salary range for Colorado, Connecticut or Nevada residents is $118,200 to $212,800 Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Find competitive benefits from financial and education to well-being and beyond
Americans with Disabilities Act (ADA)
Target will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required to comply with applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Target store or Distribution Center or reach out to Guest Services at 1-800-440-0680 for additional information.


Data Science Associate

pulseData is changing the way healthcare data is utilized within major healthcare sectors. As a series A health-tech startup, we provide the insights necessary for medical staff to understand who has and is at risk of major chronic illnesses. We have rooted ourselves within the Kidney space, and have the capabilities of bringing our approach to many more patient populations given our capabilities.

We recently raised $16.5M in our series A and are growing fast. This means we are onboarding brilliant people and providing endless areas for our employees to grow their careers. We believe in trust and transparency, and enjoy a remote friendly working environment that promotes collaboration and diversity.

The Role:
In your role as a Data Science Associate, you will use machine learning to deliver insightful and actionable intelligence and predictive solutions to our team to improve Healthcare growth in our business. You will gain experience understanding healthcare and developing data driven solutions to improve care delivery, while working closely with other team members of our Data Science and engineering team to deliver value to our business partners. Aside from supporting our data science model creation and data teams, you'll also assist the product team with growth opportunities.

Qualifications:
Strong communication skills.
Cumulative GPA of 3.5 or higher.
Bachelor/Master Degree students pursuing degrees in data science, statistics, applied math, computer science, engineering or other quantitative fields providing sufficient data science foundations
Exposure to writing code (Python preferred, R and SQL okay), collaboration (Git), developing models (machine learning, boosting & bagging algorithms, &/or regression techniques), and performing predictive analytics testing and evaluation (match case analysis, ANOVA, confidence intervals, experimental design, A/B testing, etc.).
A hunger to learn and work on challenging problems.
Any prior experience working in a startup will be bonus points

Benefits/Perks:
A base between $60-$80k plus bonus
A remote working environment - you'll be working eastern (ET) hours.
Top tier benefits including medical, dental, and vision insurance - 85% of which is covered by pulseData.
Unlimited PTO - so you can stay at your best year round!
Fun gym discounts, a 401k, and a new laptop + equipment.
Company offsite adventures throughout the US each year.
Tons of room for growth and the ability to learn new things.

Chronic Kidney Disease (CKD) is a substantially under-diagnosed condition that affects 37 million people in the US. Today, clinical and care management teams use our platform to identify the most at risk-individuals and proactively deliver care in advance of adverse events, delivering better clinical outcomes at a lower cost. Our clients are risk-bearing healthcare enterprises: ACOs, kidney clinics and nephrology practices, large health systems, managed care and health insurance companies. Together, we use data science to deliver more human care.

pulseData is backed by some of the best investors in the industry, recently raising a $16.5M Series A led by Bain Capital and Two Bear Capital.


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 Data Scientist to build and deploy predictive models for our healthcare customers. 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
Prior experience working in a customer facing consulting position
Understanding of machine learning and statistical analysis

Why ClosedLoop:

Competitive salary
Equity
401K
100% company-paid health insurance for medical, dental, and vision for employees and their families
Flexible PTO
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

Data Scientists at Shift build things that matter and have a material impact to the company’s bottom line and the customer’s experience. In this role, you will drive exciting, meaningful projects, and help define our technical and product strategy.  You will have an opportunity to innovate. We move fast, have fun, and help each other out.
We’re looking for an experienced Sr. Data Scientist to help us build the world's best e-commerce and operations platform to drive car sales and acquisitions. As a senior technical leader, you are critical to our business and technical prowess. You will work directly with technical management at the company and raise the bar for Data Science and Machine Learning.
What You Will Do:

Be a key contributor to Shift’s tech stack and technical processes, working with engineers throughout the organization, partnering with Data Science and TechOps.
Demonstrate best practices while delivering high quality results to business.
Provide technical leadership for data scientists with supportive but candid feedback in code reviews and architecture documents.
Participate in build v buy decisions.
Participate in technical design, project planning and lead development of critical projects.

What You Will Bring:

Passion for data, technology and people.
PhD or Master's Degree in Computer Science, Mathematics, Neuroscience, Computational Biology, or Econometrics.
Practical data science experience with a deep technical background in supervised and unsupervised machine learning methods.
Strong communicator - able to advocate data informed decision-making at all levels using visuals and narrative documents.
Strong analytical capabilities to translate business problems into data science problems and implemented solutions.
Experience with big data technologies such as Spark, AWS Athena, Redshift, Sisense, Looker, Tableau or others.
Experience with deploying to AWS SageMaker.
Mentored junior data scientists, led projects to the finishing line.
Strong experience in SQL and programming in Python or R.
Strong mathematical background or computer science.
Advanced ability to perform exploratory data analysis.
Expert in Statistical Studies.

Preferred Skills and Experience:

Databrick experience.
Redshift experience.
Experience with monitoring, instrumentation tech, and vendor know-how (Segment, New Relic, Datadog, Pingdom and/or PagerDuty).
Experience with Product Analytics like Google Analytics and/or Amplitude.

About Shift
We’re a tech company who has built an e-commerce marketplace for customers to buy and sell used cars, all while having an experience that is fun, fair and accessible.  We’ve set out to transform a huge industry using cutting-edge technology, and bring transparency and convenience to the car buying and selling process.
We aren’t stopping there. We bring that same transparency and convenience to car ownership too, with payments, maintenance, and insurance in one easy app.  At Shift, we’re building the tools that empower people to buy, own, and sell the cars that make life go.
Shift is an Equal Employment Opportunity Employer
Shift is an equal opportunity employer. Shift prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Shift conforms to the spirit as well as to the letter of all applicable laws and regulations.