Principal Data Scientist Marketing Analytics

Description
Description:
The Principal Data Scientist will be responsible for developing a wide range of analytical functions, potentially including but not limited to: data intelligence, analytical insights, machine learning, customer analytics, process improvement, and the development of statistical models, with the intent to optimize business spend & function, identify new opportunities, enhance the customer experience, and provide strategic direction to stakeholders.
This role will serve as the Advanced Analytics / Data Science support for an Agile team within the Home Equity and Lending area of the bank. This Principal Data Scientist will report within an Advanced Analytics team to enable collaboration, the sharing of analytical ideas, and the alignment of best practices.
Primary responsibilities include:
Engage with Marketing, Operations, Business Leaders and External Partners to drive industry leading innovations in the HELOC spaceStreamline business processes and programs and develop models/strategies/insights that can lead to a more optimal performance and budgetary spendResearch growing market trends and mine data to develop new insights that can guide the strategic direction of the Citizens Bank lines of businessDocument and communicate analytic insights for both technical and non-technical audiences, often within an Agile working structure
Our preference would be to have a chosen candidate with onsite capabilities in one of our corporate headquarters, however we are open to remote employment within the United States for the ideal candidate.
Qualifications
Required Skills/Experience:
5-10 years of experience in Analytics/Database Marketing/Quantitative Modeling, with experience in Financial Services preferred5-10 years of experience in SAS and/or related programming languagesStrong written and verbal communication skills required with an ability to successfully communicate analytic results, business insights and resulting business implications to non-technical business partnersAbility to work in a team environment and collaborate with colleagues who have a background in statistics, database development/maintenance, and information technology Ability to operate independently, requiring little manager oversightStrong programming skills and ability to utilize a variety of data/analytic software languages/tools (e.g., SQL, SAS, R, Python, Splus, etc.)Experience supporting home lending preferred but not required
Education, Certifications and/or Other Professional Credentials:
Bachelor's Degree in Statistics/Mathematics/Physics/Computer Science required, PhD preferred
Hours and Work ScheduleHours per Week: 40
Work Schedule: Monday - Friday
#LI-Sourcer3


Senior Data Scientist

Description
FlightAware has built the world’s leading aviation software platform, processing over 180 million incoming messages an hour from over 30,000 feeds—over 150 gigabytes a day and growing—to provide the best, most complete, and most accurate real-time flight tracking services in the industry. We are proud to have built a wide variety of successful products on this foundation that have become central to the aviation industry at large.
Regardless of role, we expect excellent interpersonal and communication skills across all hires at FlightAware. We look for candidates who will thrive here, meaning they demonstrate clear communication, embrace open feedback, trust their colleagues, and are driven to execute, deliver, and complete projects independently and efficiently.
FlightAware's Predict crew builds state-of-the-art machine learning systems that leverage years of historical data and hundreds of millions of examples in order to build models for computing runway landing times, gate arrival times, and more. The results of these models power the FlightAware Foresight product suite, which streams live predictive aviation data to major customers in industry.
As a Data Scientist on our Predict crew, you will play a critical role in building our Machine Learning-based Foresight products, but performing A/B testing of ML models, evaluating our existing models and providing insight into their performance. Through your work, you’ll be improving the operational efficiency of the world’s largest airlines and airports.
This is a full-time role. Our team is headquartered in Houston, Texas, but we work as a distributed team and accept remote applicants.
Requirements
At least six years Data Science/Statistical Science experience (including education)Strong knowledge of Python and/or R.
Experience in multiple of the following areas:
A/B testing, experimental design, causal inference, functional data analysis, etc.General practical knowledge of statistics, data science, classic machine learning, and deep learning.Preferred: Experience with Kubernetes, Spark, and AWS.Nice to have: You are a private pilot or are you looking to pursue your private pilot license.
Responsibilities
Design a framework to A/B test our Machine Learning models.Explore the performance of ML models to provide guidance on where we can improve.Design QC procedures for training and evaluation data and explore outliers in complex data.Participate in our internal research projects, pushing the envelope of what’s possible in the aviation ML space.Develop your general software engineering skills in an environment that encourages constant learning and innovation.
Work Location
Remote (work from home)Applicants must live in the United StatesMust have current work authorization for any employer in the US and not require sponsorship now or in the future
Education
A master’s, or doctoral degree in statistics, mathematics, computer science, software engineering, or equivalent experience.
Compensation
Salary varies based on experience and backgroundMatching 401(k)Company-paid employee medical, dental and basic life/AD&D insurance


Principal Data Science

About This Role
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
Responsible for working closely with management to execute analytical initiatives. Responsible for providing thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. This position will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary.
Responsibilities
Provides thought leadership & strategic thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis. Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Facilitate implementation of work product and ensure accuracy. Establishes and maintains effective performance tracking; identifies improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization. Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics, and machine learning algorithm & recommendation to solve business problems. Lead the development of Analytical capabilities with the aim of creating long-term strategic data/analytics assets for the company. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information. Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work. Continuously improves technical and leadership skills through training and development.
Minimum Qualifications
At a minimum, here’s what we need from you:
Bachelor’s Degree in Analytics, Engineering, Statistics, or related field 6+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science, or related field
Preferred Qualifications
If we had our say, we’d also look for:
Master’s Degree in Analytics, Engineering, Mathematics, Statistics, or related field 7+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science, or related field
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What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.


Lead Data Science Analyst

About This Role
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
At Discover, be part of a culture where diversity, teamwork and collaboration reign. Join a company that is just as employee-focused as it is on its customers and is consistently awarded for both. We’re all about people, and our employees are why Discover is a great place to work. Be the reason we help millions of consumers build a brighter financial future and achieve yours along the way with a rewarding career.
Responsible for working closely with management to execute analytical initiatives. Responsible for solving business problem by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. Creates reports and dashboards to closely monitor performance metrics and provide insights.
Responsibilities
Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization.Manages multiple priorities, communicate business performance and project progress to management & business partners.Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitates implementation of work product and ensure accuracy.Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work.Continuously improves technical and leadership skills through training and development.
Minimum Qualifications
At a minimum, here’s what we need from you:
Bachelor's Degree in Analytics, Engineering, or Statistics4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related.
Preferred Qualifications
If we had our say, we’d also look for:
Master's Degree in Analytics, Engineering, or Statistics2+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related.
#Remote
#BI-Remote
#LI-RD1
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.


Finance Data Science Manager

About This Role
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
At Discover, be part of a culture where diversity, teamwork and collaboration reign. Join a company that is just as employee-focused as it is on its customers and is consistently awarded for both. We’re all about people, and our employees are why Discover is a great place to work. Be the reason we help millions of consumers build a brighter financial future and achieve yours along the way with a rewarding career.
Job Summary
This Model Production and Automation Manager role is in Discover’s Finance Data Science department, serving as a Subject Matter Expert in developing and maintaining financial forecast model execution process to produce forecasts for business planning, capital stress testing (CCAR), and other financial analysis activities. Financial forecasts include credit loss, CECL reserve, loan receivables, payments, and revenue across Discover’s card, student loan, personal loan, and home loan products, as well as direct-to-consumer deposits.
What You’ll Do
Manage a team of data scientists/modelers to provide modeling solutions to Discover businesses, while adhering to enterprise compliance and governance standards.Direct and lead the team to develop models, utilizing machine learning and other algorithms.Present the results of mathematical modeling and data analysis to management or other end users.Serve as a Subject Matter Expert in developing and maintaining statistical/econometric models to forecast credit loss, reserve for business planning and capital stress testing.Lead all technical aspects of model performance tracking, model risk management related analysis, and research on modeling techniques and tools to serve business needs.Develop advanced analytics solutions including segment, vintage, portfolio, and customer analytics to produce reasonable loss forecasts. Identify the key leading indicator for credit losses and evaluate the impacts from credit strategies.Maintain strong knowledge in model execution environment, including process automation, data structure development, programming, and testing across technology platforms to ensure accuracy and efficiency.Manage process automation, data structure development, programming, and testing model implementation across technology platforms to ensure accuracy and efficiency.Analyzing, designing, and validating structured/unstructured data sources, data transformations, data lineage, data quality rules, data models, built on traditional warehouses as well as Big Data systems.Partners with the business and technology teams to develop innovative data solutions to support advanced analytics initiatives such as AI, Machine Learning, and traditional analytic platforms.Support the analysis of financial forecast result and prepare management reports.Manage application development cycle, including collecting and preparing the business requirements for technology teams, conducing user acceptance test and implementation.
How You’ll Do It
Motivate and mentor the team of data scientists/modelers to grow their skills and careers―creating a nurturing environment that encourages innovation and continual learning.Leverage deep technical knowledge and leadership skills to drive development of data-science solutions and implement data-driven recommendations and outcomes.Act as a liaison among Corporate Risk, Finance, decision management, business technology teams, and other business partners in model-lifecycle to escalate model time to market.Build relationships with business partners.Allocate resources and prioritize projects, ensuring modeling projects are delivered in a timely manner.Maintain a high level of competency in statistical and analytical principles, tools and techniques, and support the advancement of "best-in-class" analytical capabilities to unlock new proficiencies and enhance performance, and quickly adapt to modern modeling techniques. Demonstrate technical knowledge in analytical tools.
Qualifications You’ll Need
The Basics
Master's degree in statistics, math, computer science, engineering, economics, or related quantitative field4+ years of experience in project management and modeling, or related field
Bonus Points If You Have
Ph.D. in statistics, math, computer science, engineering, economics, or related quantitative field6+ years of experience in the financial service industry, or related field1+ years of experience in people management or project managementPython, SQL, H2O, Pyspark experienceCredit Analytics on consumer lending products
#LI-CR1
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.


Senior Data Scientist

Overview
We seek a seasoned researcher at the crossroads of medicine, physiology, data science and sensors, with experience in machine learning and artificial intelligence. With physIQ, you will work with large, rare troves of millions of hours of warehoused sensor data with clinical context, an advanced library of physiology feature algorithms, and a state-of-the-art platform for collecting new data in studies you may design. In this role, you will work with raw sensor waveforms and derived vital sign features from patients and human subjects using continuous wearable sensors in unconstrained activities of daily living, to develop and validate emergent analytics characterizing physiological health and behavior. This will rely heavily on the latest techniques in machine learning and artificial intelligence, including deep neural net and similar architectures. Our high-level objective is to harvest as much clinically useful information as is possible about patients using continuous wearable sensors, to achieve highly accurate algorithms using cutting edge data science techniques that pass muster with medical regulatory agencies. Strong validation practices are requisite.
A successful candidate will be capable of working independently to solve the algorithmic needs of the company without hand-holding, while also being a good collaborator with other members of the Research team and colleagues in the company.
A successful candidate will have strong organized coding skills.
A successful candidate will have strong written communication skills and good experimental documentation practices.
Responsibilities
Design, develop and validate analytical algorithms
Curate source data and investigate clinical cases
Write design and validation documentation under quality systems practices
Prepare publications and related market-facing validation collateral
Troubleshooting of production-released algorithms
Mentor junior staff and communicate concepts to non-research colleagues
Design and analyze clinical trials
Requisite Skills
4-year undergraduate technical degree (science, engineering)
4 years of post-undergrad experience with machine learning or AI
2 years of post-undergrad experience with wearable sensor data
Expert coding skills in one of Python, MATLAB or arguably similar ML/AI dev environment
Proven record of working independently to deliver results
Demonstrable knowledge of human physiology or medical data science applications
Nice to Haves
Master’s degree or PhD in scientific or technical area
Advanced knowledge of human physiology
Expertise in wearable sensors
Experience using git / gitlab
Experience using advanced features of Google Cloud Platform or Amazon Web Services
Expertise in signal processing
Expertise in statistics
Click here to apply


Data Scientist Assistant Manager Insurance Modeling

The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good.
You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities.
Everything we do at Allstate is driven by a shared purpose: to protect people from life’s uncertainties so they can realize their hopes and dreams. For more than 89 years we’ve thrived by staying a step ahead of whatever’s coming next – to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We’ve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection. We are the Good Hands. We don’t follow the trends. We set them.
Job Summary:
This position is on the Modeling & Major Initiatives team within PAAS and is responsible for executing and/or leading predictive modeling solutions and rating plan developments in support of pricing insurance business. This includes utilizing accepted actuarial and statistical standards, methodologies, & knowledge, as well as, developing new predictive modeling algorithms and tools to make data-driven business decisions. This role works closely with pricing management and key business partners to develop and execute appropriate pricing, modeling and product strategies of moderate to high complexity to support business goals.
Key Responsibilities:
Uses best practices to develop statistical & actuarial techniques to build models and/or tools that address business needs and to improve the accuracy of our data and data-driven decisions
Provides thought and/or technical leadership, including contributions to improvement, development and innovation, and often serves as a subject matter expert
Utilizes effective project planning techniques to break down moderately complex predictive modeling projects into tasks and ensure deadlines are kept
Reviews, evaluates and communicates appropriateness of modeling techniques and results to team and leadership to ensure these are well understood and incorporated into business processes. With coaching, develops and executes communication strategy, keeping stakeholders informed and finding opportunities to influence the direction of work.
Responsible for selecting, reviewing, using and ensuring quality of data used to perform pricing analyses, in both modeling and non-modeling applications
Leverages understanding of insurance business, products, markets and regulatory environment to influence pricing & modeling strategies and business decisions
Identifies languages and tools that can bring efficiencies or needed techniques to the team
Mentor and/or supervise less experienced talent

Preferred Qualifications:
Education and Experience
Master’s or PhD degree – preferably in related field of study such as math/applied math, statistics/applied statistics
3+ years of related experience within the field of data science and predictive modeling
Certificates, Licenses, Registrations
None
Functional Skills
Experience in using statistical modeling and/or machine learning techniques to build models, as well as, evaluate models
Advanced knowledge in the use and ability to learn a wide variety of tools, data sources and computer applications
Ability to code in one or more programming languages and manipulate large, complex data sets
Advanced communication skills, including the ability to present written and verbal interpretations of highly specialized terms and data to others with different levels of expertise
Demonstrated Analytic Agility and ability to quickly learn and switch topics
Advanced product, price, risk management and insurance regulation knowledge, including professional standards of actuarial/statistical techniques
Manage people/projects in a team environment, including ability to train, develop and mentor analysts

Compensation offered for this role is $97,000 to $130,000 and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
Good Work. Good Life. Good Hands®.
As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life -- including a generous paid time off policy. For a full description of Allstate’s benefits, visit allstate.jobs/benefits/
Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.


Data Scientist Logistics

The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good.
You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities. Plus, Allstate is changing how, when, and where we work-to lead us boldly into our future. We're empowering our employees to create better ways of working through more intentional use of communication and collaboration practices, processes and tools.
Everything we do at Allstate is driven by a shared purpose: to protect people from life’s uncertainties so they can realize their hopes and dreams. For more than 89 years we’ve thrived by staying a step ahead of whatever’s coming next – to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We’ve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection. We are the Good Hands. We don’t follow the trends. We set them.
Job Summary:
The Data Science team at Allstate Roadside maximizes the marketplace efficiency of our services though influencing the supply and demand of rescues and rescue providers in real time. This involves developing a fundamental understanding of the rescuer behavior in a rapidly changing market, creating dynamic pricing strategies that can influence the supply of rescue providers in an area that is seeing a surge in demand. This ensures our customers enjoy the highest customer service while our rescue providers are able to maximize their earnings.
This Data Scientist/Machine Learning Engineer Python role is responsible for leading the use of data to make decisions. This includes: the development and execution of new machine learning predictive modeling algorithms, the coding/development of tools that use machine learning/predictive modeling to make business decisions, searching for and integrating new data (both internal and external) that improves our modeling and machine learning results (and ultimately our decisions), and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling.
Key Responsibilities:
Work on optimizing real time dispatch systems and build scalable solutions  to solve challenging problems.
Contribute to entire life cycle of machine learning models from ideation to deployment , monitoring and retraining.
Work on variety of data sets in a cloud analytics environment, crunching millions of samples in creative ways to discover new insights and operationalize powerful solutions
Collaborate with engineering teams to design and implement software solutions for data science problems.
Understand ambiguous business problems and convert them into data science solutions ie create insights, decisions, white papers and models.
Develop deep understanding of the business. Research solutions to recommend strategies that impact key organization metrics. Learn quickly and adapt to changing business needs
Qualifications
Degree in a quantitative field such as statistics, mathematics, computer science, finance.
Master’s or PhD, preferred, with 2 or more years of experience.
Bachelors and 5 or more years of experience.
Hands-on experience in implementing, maintaining, and running machine learning models in production in Python.
Experience using SQL to pull data.
Experience working with ML frameworks such as SkLearn, XGBoost, and Tensorflow.
Previous work doing Big Data Processing using Spark a plus.
Experience designing experiments and ability to infer causal relationships a plus.
Experience with operations research a plus.
Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise.

The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
Good Work. Good Life. Good Hands®.
As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life -- including a generous paid time off policy. For a full description of Allstate’s benefits, visit allstate.jobs/benefits
Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.


Transparent Ly Data Scientist Manager

Transparent.ly is a real-time pay per click bidding platform that allows advertisers to precisely bid to their target acquisition cost per new customer.  The platform allows digital media owners to monetize their consumer traffic in insurance, mortgage and higher education by showing highly relevant ads to in-market consumers.  Transparent.ly is the only platform that offers complete transparency to all parties in the transaction. Founded in 2018, Transparent.ly has been profitable since inception and is growing rapidly.
Job Description
This role will be focused on optimizing the performance of advertisements for advertisers and publishers. Publishers typically provide a wide variety of voluntary consumer data that is ingested by Transparent.ly.  The goal is to optimize the resulting ads shown to consumers to improve click through rates as well as end of funnel performance for advertisers.  From the advertiser perspective, the goal is to optimize the consumers that are sent to their landing pages to improve the rate at which the consumers purchase a policy or loan.
We are looking for a hands on data scientist who can make insights using advanced techniques and apply and productionalize those insights to improve performance.
Clear thinker who can communicate complex concepts in terms everyday people can understand.
Strong background in statistics and applied techniques (linear/non-linear, probability, bootstrapping, etc).
Experienced in predictive analytics, in particular ad performance prediction.
Deep learning / neural networks experience, including applying clustering, classification and random forest.
On the job experience creating algorithms (regressions, simulations, decision trees, neural networks, Bayesian, clustering, etc.) and models that best solve for given business opportunities and challenges.
Qualifications
Strong background in data mining and data architecture.
Solid programming skill in Python, R & SQL.
Knowledge of AB-testing and the related analysis.
3-4 years of applied data science experience.
Hands on experience cleaning datasets and training data.
Quantitative degree from a top 25 school, preferred but not required.
Masters or post  undergraduate level coursework in machine learning.
Familiarity with implementing machine learning through AWS.
Knowledge of the insurance or fintech verticals.
Hands on experience working with online marketing data.
Professional experience working on recommendation systems.
Minimum Skills
Analyze a large body of consumer data to improve click-through-rates on ads.
Analyze advertiser performance data to identify consumer attributes most closely associated with purchase for a particular advertiser.
Optimize consumer demand while balancing advertiser performance.
Create and make bidding strategies in the platform to execute on findings.
Champion and project manage data related initiatives with engineering and business teams to productionalize insights.
Explain methodologies and insights to company executives and clients to promote understanding and gain buy in.
Manage a team of analysts and develop the data science practice within the company.
Establish and organize a regular process to conduct client optimizations and communicate actions to fellow team members and clients.
The candidate(s) offered this position will be required to submit to a background investigation.
That’s the day-to-day, now let’s talk about the rest of it. As we mentioned, Transparent.ly is a part The Allstate Corporation. But you’ll be working for—and at—Transparent.ly. It’s the best of both worlds. You’ll get access to the full suite of Allstate benefits and work in a fast-paced startup culture. That’s more than just free breakfasts and brain breaks. It’s a culture that encourages you to be you.
Sound like a fit? Apply now! We can’t wait to meet you.
Salary Range for this position is $147,000 - $215,000.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

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


Data Scientist Innovation

The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good.
You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities.
Everything we do at Allstate is driven by a shared purpose: to protect people from life’s uncertainties so they can realize their hopes and dreams. For more than 89 years we’ve thrived by staying a step ahead of whatever’s coming next – to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We’ve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection. We are the Good Hands. We don’t follow the trends. We set them.
Job Summary:
Allstate is seeking to hire a Senior Data Scientist to join our Innovation team at our downtown Chicago location. Allstate’s Innovation Team is at the forefront of change and growth within the company, driving the creation of standalone businesses or reinvention of existing ones. Innovation projects typically include cross-functional team members within Business Strategy, Product, Technology, Design, and Go to Market functions, who use data-driven prototypes and testing to achieve desired business outcome. Past projects in the team have included the development of a new consumer “digital footprint” technology, announced at CES 2019, and a project to transform the life insurance underwriting process by leveraging Electronic Health Records (EHRs). The team is currently focused on a very high profile initiative helping Allstate’s Marketing department transform its Customer Acquisition Sophistication through the development of predictive models leveraging a wide variety of behavioral and demographic consumer data points.
Key Responsibilities:
The Senior Data Scientist will develop advanced predictive models and exploratory data analyses that will
unveil key data insights leveraging both structured and unstructured data. This role will work closely with Data
Engineering and the business team to determine what data insights need to be derived and the problem
statement that should guide the analysis in order to solve business problems. This individual will be a key
communicator of analytical results and insights to various stakeholders across and outside the company. This
will require an advanced understanding of which data visualizations and techniques will be most effective in
communicating insights to the business team. The Senior Data Scientist will be required to drive all analytics
efforts supporting the product development lifecycle.
Education and Experience:
Bachelor’s degree in a quantitative or technical field such as mathematics, statistics, computer science, or engineering with 6 or more years of experience in a data science and/or predictive analytics role
OR
Masters or Ph.D. degree in a relevant discipline with 3 or more years of experience in a data science and/or predictive analytics role.
Ability to independently develop advanced statistical and machine learning models using a variety of techniques (e.g. GLM, Neural Networks, Treebased learning methods).
Comfortable bringing new ideas to the team and assessing their benefits over currently used methodologies.
Ability to identify the appropriate modeling technique given a problem statement based on the availability, variety, and quality of data.
Ability to identify and define a problem statement given a business problem.
Expert level knowledge in one or more languages commonly used in data analytics (Python, R, Java, Scala, etc.). Python / R proficiency is strongly preferred.
Pyspark experience is preferred.
Strong knowledge in SQL and database management with bigdata platforms.
Experience visualizing complex data insights using tools such as ggplot2 in R or seaborn/matplotlib in Python.
Experience in managing, validating, and manipulating large, complex datasets.
Strong ability to communicate complex analyses and concepts to nontechnical audiences within and outside of the organization.
Comfortable performing independent research to support analytics decisions as part of the product lifecycle.
Compensation offered for this role is $97,000.00-$130,000.00 per year + Bonus and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
Good Work. Good Life. Good Hands®.
As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life -- including a generous paid time off policy. For a full description of Allstate’s benefits, visit allstate.jobs/benefits/
Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.


Senior Data Scientist

Veeva [NYSE: VEEV] is the leader in cloud-based software for the global life sciences industry. Committed to innovation, product excellence, and customer success, our customers range from the world’s largest pharmaceutical companies to emerging biotechs. Veeva’s software helps our customers bring medicines and therapies to patients faster.
We are the first public company to become aPublic Benefit Corporation. As a PBC, we are committed to making the industries we serve more productive, and we are committed to creating high-quality employment opportunities.
Veeva is aWork Anywhere company which means that you can choose to work in the environment that works best for you – on any given day. Whether you choose to work remotely from home or work in an office – it’s up to you.
The Role
Crossix Analytics is a business within Veeva dedicated to advancing healthcare marketing with analytics, innovative planning, targeting, measurement, and optimization solutions.  Positioned at the center of big data, innovative technology, and multichannel media, Veeva Crossix provides most life sciences companies with insights to help make strategic business decisions and drive improved patient outcomes.
Veeva is seeking an intellectually curious, resourceful, and collaborative Data Scientist to join Veeva’s Advanced Analytics team. At Advanced Analytics we build the technology and data science products that power Veeva’s targeting, measurement, and optimization solutions. This is a great opportunity to be at the forefront of innovation and help us solve some of the most challenging problems in healthcare data and analytics.
What You’ll Do
Apply Machine Learning and Statistics techniques to large health data sets to build new products and methodologies Collaborate closely with a team of Data Scientists, Product, and Engineers to improve and implement methods and features Rapidly build prototype product solutions, communicate findings, iterate Use technologies like AWS, Spark, Python, R, SQL, and Git in addition to proprietary data mining software on a daily basis
What You’ve Done
Degree in a relevant technical field (Machine Learning, Computer Science, Operations Research, etc) 5+ Years of hands-on data science experience Highly proficient in Python and SQL Experience with source control workflows like GitHub  Experience working with Big Data Technologies like Spark and AWS Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
Nice to Have
Advanced degree (MSc, PhD preferred) in a relevant technical field (machine learning, computer science, operations research, etc) Practical experience applying Causal Inferences methodologies Experience with R preferred
Perks & Benefits
Flexible PTO Allocations for continuous learning and development Health & wellness programs
#LI-RemoteUS #BI-Remote
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent_accommodations@veeva.com.


Data Science Manager Search And Discovery

Back to Careers
Are you passionate about information retrieval, machine learning and data science? Do you describe yourself as an innovative problem solver? Looking for an opportunity that will directly impact the customer experience at Gopuff? Come join the Gopuff Data Science team and #ChangeTheGame.
As a Data Science Manager on the Gopuff Search and Discovery team, you’ll lead the team to tune our search retrieval, create ranking models, develop query understanding techniques and build recommenders so that we can show the perfect products to users to provide the best discovery experience. You’ll have the opportunity to make a huge impact on the future success of Gopuff.
Responsibilities
Lead, manage and grow the Search and Discovery data science teamWork with product partners and the team to define product roadmap and quarterly goals.Hold accountable for the delivery of data science products.Refine the notion of search relevance between a product and a query and achieve personalized search results.Use natural language processing techniques to understand the intent behind a search query to better serve results.Build next generation recommender systems with personalization that power the Gopuff app to achieve better conversion rate and AOV. Productionize and deploy models using cloud based tech stacks including Snowflake, Databricks, Azure and Elastic cloud. Mentor and grow team members to achieve their career milestones.
Qualifications
6-10 years of experience in data science, and at least 2 years of experience as a tech manager.MS or PhD in statistics, mathematics, computer science, engineering or another quantitative field.Extensive experience in search, ranking algorithms and recommender systems. Excellent Skills in Python and SQL.Experience in deploying models in a production environment.Experience in managing stakeholder relationships.Excellent communication and presentation skills.Ability to explain technical concepts in simple terms to business stakeholders.
Benefits
We want to help our employees stay safe and healthy! We offer comprehensive medical, dental, and vision insurance, optional FSAs and HSA plans, 401k, commuter benefits, supplemental employee, spouse and child life insurance to all eligible employees.
We also offer:
-Gopuff employee discount
-Career growth opportunities
-Internal rewards programs
-Annual performance appraisal and bonus
At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes.
And now, we’re assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.
Like what you’re hearing? Then join us on Team Blue.
Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.

    Apply for this job


Lead Data Scientist Supply Chain Us

OVERVIEW
To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time. As a Lead Data Scientist at General Mills, you will apply your advanced expertise in machine learning, optimization and information retrieval to design, prototype and build a next generation supply chain engine and services. You will serve as the technical leader for an enterprise level supply chain data science initiative. You will be responsible for designing the analytic architecture, constructing machine learning models, and communicating with product owners, business partners and other data scientists.
RESPONSIBILITIES
Work closely with data science leadership, engineering, and business partners to develop optimization and machine learning models using best in class tools and technology.Create production ready, scalable models that provide real time insights that align with General Mills technology standards.Serve as a senior leader as part of the data science leadership team- contribute to technical strategy, best practices, and team development.Mentor and coach junior data scientist on key technical and domain topics.Act as a thought leader in supply chain data science techniques and represent the Digital and Technology organization.Partner with functional analytic teams to align and integrate solutions.
MINIMUM QUALIFICATIONS
Master’s degree in computer science, operations research, engineering or related quantitative field or commensurate work experience in supply chain technology or data science.5+ years of professional experience developing and deploying machine learning algorithms in a production environment.Proficient in one or more coding languages including PythonExperience with graph database technology preferredExpertise with leading the development of large-scale optimization, simulation, and network-based models.Highly adaptable, curious, and willing to work independently on complex and challenging problems.
ADDITIONAL CONSIDERATIONS
The preferred location for this role is Minneapolis, MN however remote work-at-home applications within the United States, Canada or the UK will be considered.Relocation or international remote working arrangements (outside of the US) will not be considered.
COMPANY OVERVIEW
We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.


Sr Data Scientist

Overview
Blue Buffalo is seeking a Data Scientist to be a critical member of Consumer & Market Intelligence Business Analytics team. As the Data Scientist at Blue Buffalo, you will be responsible for bringing tools and capabilities to Blue Buffalo to help achieve business objectives through analysis and modeling.  You will manage a strategic partnership with central CMI and lead the delivery of category forecasting and demand spaces for Pet and lead application of the learning with Blue business teams.  You will be the connector of 1st, 2nd, and 3rd party data sets for analytic use across Blue Buffalo. As the Data Scientist, you will lead analytics using multiple data sets that will drive the acquisition of new pet parents and growth for Blue Buffalo.
 Key accountabilities
Develop innovative tools and capabilities that help business partners achieve objectives throughanalysis and modellingCurate and connect data sets for broad analytic usageOwn the identification of emerging trends that could create risk or growth opportunities for BlueLead advanced analytics research using 1st party data to understand strategies for gaining new pet parentsManage strategic partnership with central CMI and lead the delivery of category forecasting and Demand Spaces for PetLead Blue’s D&T pod to ensure data sources are connected and Blue CMI is meeting the needs of Blue Buffalo’s business teamLead advanced analytics of Blue Buffalo’s brand equity data Be a part of the team, collaborate, ask questions, engage, and solicit feedback from other
MINIMUM QUALIFICATIONS
Bachelor's Degree in Market Research, Statistics, Mathematics, Business Analytics, Data Science, or related field3-5+ years of experience transforming data from multiple sources and conducting business analyticsExperience and comfort with statistical analysis, modeling, clustering and data mining techniques to identify trends and insightMastery with modelling tools (i.e., R, python, SPSS, etc.)Expert knowledge of syndicated data (e.g., POS, ecommerce data sources, household panel)Ability to synthesize multiple data sources to build and tell a fact-based story with credibilityExcellent collaboration and organizational navigation skills and agility to work on multiple projects with multiple stakeholders. Proactive problem solver that has strong business acumenAbility to communicate, collaborate and build relationships virtually
  PREFERRED QUALIFICATIONS
Master’s Degree in Business Administration, Consumer Behavior, Data Science or related field.7+ years of experience in business analytics working with a NAR Segment OUExpertise in a variety of traditional and modern qualitative and quantitative research techniquesProven ability to work in an agile environmentExpertise within advanced analytics and development of statistical models


Lead Data Scientist

About BlueLabs
BlueLabs is a leading provider of analytics services and technology for a variety of industry clients: including government, business, and political campaigns. We help our clients optimize their engagements with individual customers, supporters, and stakeholders to achieve their goals. Simply put: we help our partners do the most good by getting the most from their data.

Today, our team of data analysts, scientists, engineers, and strategists come together from diverse backgrounds to share a passion for using data to solve the world’s greatest social and analytical challenges. We’ve served more than 400 organizations ranging from government agencies, advocacy groups, unions, political campaigns, international groups, and companies. Along the way, we’ve developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach-- serving a diverse set of industries, including the automotive, travel, consumer packaged goods, entertainment, healthcare, media, telecom, and more.
About the Team:
The BlueLabs Data Science Team develops deep expertise and uses data to inform strategic advice to our clients. Our polling work designs, implements, and fields tools that power our analysis and messaging. We take a deep dive into research that looks at what motivates people to vote, buy a product, hold an opinion, and whether campaigns are successful. Our statistical research identifies areas where we can better assess the impact of various factors in the campaign and polling areas. Our fast-paced, impact-driven team conducts innovative analysis to support our clients’ work. We bring definition to challenging problems, creatively identify data sources, then design analytics that accurately measure impact and move the needle every day. We work in changing, ambiguous environments, so we embrace nuance, inclusivity, and complexity to deliver programs that work for the diverse groups of individuals who rely on us.

About the Role:
Data Scientists use a combination of statistics, programming, and domain knowledge to solve problems, ranging from customized solutions for specific clients to creating the methodological backbone for our general purpose products. They have strong technical skills and are also creative thinkers who are always looking to innovate and deliver value to our clients. They aren’t afraid of messy data, and are comfortable working in a fast paced, production-oriented environment. Our team members receive strong mentorship and are given a chance to complete projects independently.  The Lead Data Scientist is both a subject matter expert and a team leader. This position reports to the VP, Data Science and manages a team of Data Analysts and Data Scientists.

What You’ll Do:
Lead the design, implementation, and delivery of analytics products and services
Own the predictive modeling process from ingestion to deployment
Design and evaluate longitudinal experiments and make recommendations based on the findings
Ensure the data and modeling results meet requirements for quality and work with the team to clean, transform, aggregate, and report on data as needed
Collaborate with engineers, data scientists, program managers and external stakeholders to troubleshoot problems and proactively create solutions
Lead research development projects and data science project plans for clients and internal initiatives
Ensure team excellence by documenting processes and evangelizing new approaches
Work both independently and as part of a team to deliver accurate products on short deadlines
Manage a team of data scientists and analysts using your background and experience and help others grow

Who You Are:
You have a proven track record using data-driven solutions to improve social outcomes - and bring a multidisciplinary approach to doing so.
You have experience that mastered a variety of skills: whether thinking strategically about how to develop an enduring process, digging deep into a complex data analysis, or putting yourself in the shoes of an end-user to answer a question they didn’t know they had - you’re comfortable thinking from a number of different perspectives
You are able to anticipate questions from your stakeholders while remaining objective in how you approach their unique challenges. You are experienced deriving value from imperfect data, but also know when to push the emergency stop button.

What We Are Seeking:
3+ years working in a quantitative production environment or a postgraduate degree in a quantitative field
Experience with and ability to apply knowledge of foundations of statistics and modeling (distributions, parameter estimation, confidence intervals and tests, etc.) both in your own work, and in the ability to guide others
Experience with experimental design and causal inference
Advanced understanding of a statistical programming language, preferably R or Python
Expertise building predictive models using regression and machine learning techniques
Ability to manipulate data with SQL
Proven experience creating analytics output within a production-oriented team
Ability to effectively communicate and present technical concepts to a non-technical audience, both in writing and verbally
Experience creating and delivering informative and engaging data visualizations using industry leading tools
Leadership competencies in the following: empathy, active listening, coaching/feedback, integrity, decisiveness, and problem solving
In order to be qualified for this position you must currently have or be able to obtain and maintain a Federal Public Trust security clearance, which requires either US Citizenship or three (3) of five (5) years of US residency

What We Offer:
BlueLabs offers a friendly work environment and competitive benefits package including:
Premier health insurance plan
401K matching
Unlimited vacation leave
Paid sick, personal, and volunteer leave
15 weeks paid parental leave
Professional development & learning stipend
MacBook Pro laptop
Bring Your Own Device (BYOD) stipend for mobile device
Employee Assistance Program (EAP)
Flexible working hours
Telecommuting/Remote options
Pre-tax transportation options
And more!

The salary for this position is $95,000 annually.

While we prefer this position to be in the Washington, DC area, we are open to considering candidates from within the U.S.

At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. As an equal opportunity workplace and an affirmative action employer, BlueLabs is committed to creating an inclusive environment for all employees. BlueLabs endeavors to make reasonable accommodations to the known physical or mental limitations of qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations.  BlueLabs participates in E-verify.


Data Scientist

About the Job The Data Scientist/ Product Analyst at Opal is responsible for analyzing customer behaviors across the customer journey and helping make the customer experience and business outcomes better. This position will create and own multiple Product Key Performance Indicators (KPI’s) while nurturing a deep understanding of product health and the customer experience. The Senior Product Analyst will aid in strategic decisions by owning the data storytelling process.  Key collaboration points include working with our Product Management, Engineering, Marketing, Sales, Finance, and Leadership teams. About You You are a highly strategic and curious individual who loves telling stories through data and has strong familiarity with SaaS and PLG metrics. Your superpowers include identifying and capitalizing on product trends while also improving product adoption, retention, and engagement. Your ability to translate and communicate the value of your analyses, both to technical and non-technical stakeholders, is a core part of your success. About Opal Opal is the planning platform that connects strategy to execution. Marketing and communications teams working together in Opal get the visibility they need to stay aligned and collaborate efficiently. Visit workwithopal.com to learn why Opal is used by teams everywhere including Starbucks, Target, Minted, General Motors, Ikea and Zillow.Responsibilities  Perform strategic and one-off data analysis primarily in support of Product Management. Support the organization in using data to launch and iterate on PLG motions. Build visualizations, dashboards, and define key metrics that enable the success of our product. Find opportunities to bolster product usage, user retention, and overall engagement via insights in our data. Be the DRI for Product KPIs. Help craft and evaluate A/B tests to improve user experience and engagement. Uncover actionable insights and trends in complex, sprawling datasets and articulate them to roles across the organization. Develop user archetypes and build dashboards to demonstrate their usage patterns. Build code that fits the standards of our engineering best practices. Work in an iteration fashion to rapidly deliver value on a consistent basis. Consistently document your work and actions so the work is repeatable and can be run by others.  Skills, Experience, Knowledge: 5+ years of related data-engineering and/or business intelligence (BI) engineering and analytics  experience.  Demonstrated ability to work effectively with individuals from diverse communities and cultures.   Experience in creating ETL pipelines, preferably with Apache Airflow. Significant experience in modeling information for both relational, dimensional and log-based databases. Experience with PLG motions and tactics. History working with standard SaaS metrics and using data to find insights to improve them. Deep understanding of SQL, dimensional/relational databases and data access patterns. Working familiarity with BI/reporting tools, such as Metabase. Working familiarity with modern web application analytics toolchain, such as Segment.io, Mixpanel, Snowflake, Fivetran, Pendo, etc. Experience using dynamic languages like Python and Ruby. Understanding of Docker and CI/CD deployment pipelines. Ability to work with structured, semi-structured, and unstructured data sources. Detail-oriented and able to enforce consistency in naming conventions, standards and nomenclature. A passion for building great software products and deeply understanding user behavior. Effective written and oral communication skills when interacting with both technical and non-technical staff. Comfort working in a highly agile, intensely iterative software development process Experience owning a project from concept to production, including proposal, discussion, and execution Self-motivated and self-managing, with strong organizational skills Skilled at time and project management with the ability to move between priorities and manage deadlines across multiple focuses and teams. Experience working with employees at all levels, from interns to Executives. Experience working in a fast-paced, high-growth, start-up environment is a plus. Natural alignment with Opal’s Values: Professional, Intentional, Steadfast, Helpful, Creative, Passionate, and Empathetic Demonstrated ability to work effectively with individuals from diverse communities and cultures.   Education:Undergraduate degree or equivalent related work experience required; advanced degree in a related field a plus. Competitive, market-leading compensation package, including stock options 100% company-paid Medical/Rx, Dental, and Vision Insurance for individuals (plus company-subsidized dependent coverage) Health Savings Account (HSA), Flexible Spending Accounts (FSA) for Health, Dependent Care, Commuter, Parking Company-paid Life/AD&D, Short and Long Term Disability Insurance Pet Insurance for your furry friend Unlimited Vacation, Paid Sick Time, and Paid Holidays Paid Parental Leave & Back-to-Work Program 401(k) and Roth Retirement Plans Company-sponsored outreach & activity programs Pay of $90,000 - 120,000 DOEOpal is an equal-opportunity employer and committed to creating an inclusive and diverse environment.  We believe a diverse workplace promotes innovation and enhances decision making.  We encourage applications from all qualified candidates and will consider all applicants without regard to race, color, religion, gender identity or expression, national origin, sexual orientation, disability, age, or veteran status.


Lead Senior Data Scientist Analytics

About Spin
Spin is a micromobilty company that operates fleets of rental electric bikes and electric scooters in cities and campuses across the United States and Canada. Spin launched the first-ever stationless bike share program in the United States and was instrumental in crafting the world’s first mobility permitting system that is now used around the world. Spin is known for its city- and campus-friendly approach to micromobility, and was the first operator to deploy a number of technology innovations to improve rider compliance, such as sidewalk riding detection technology. Spin consists of a diverse team of experienced professionals from the public sector, private sectors, and the transportation advocacy world, all of whom are committed to fulfilling the company’s mission - to help create a world full of 15-minute cities.
For more information visit https://www.spin.app
About the Role
We are looking for a Data Scientist to join our Analytics team to generate insights and build data products that will allow us to answer some of our toughest operational questions to help us innovate and grow. You will be solving complex business problems, performing statistical analyses and identifying and solving data quality issues. You will be collaborating with engineering and operations to define data requirements, identify new opportunities and shape strategic direction. If you are passionate about using data to solve hard problems, we want to hear from you!

The Team
Our team consists of people that are passionate about creating finely polished and intuitive experiences and, at the same time, obsess over performance and reliability of what we build. We challenge the status quo and strive towards finding the best way to solve problems.
We work in small collaborative groups to keep processes and overhead low, so we have a lot of trust and autonomy to perform the work required to build the best product.

Responsibilities

Analyze data and develop data models to enable self-serve insights at scale
Define business metrics that measure the health of our business and product
Collaborate with product, engineering, finance, business and operations teams to translate business insights into decisions and actions
Develop dashboards and frameworks to monitor business and product performance
Design and analyze A/B and multivariate tests to measure business impact

Qualifications

Degree in a quantitative field like analytics, statistics, economics, computer science, or applied math
Minimum of 5 (3 with advanced degree) years of relevant experience in data science or analytics role
Advanced SQL skills
Experience in Python (preferred) or R including data science and visualization libraries
Extensive experience creating data visualizations with tools like Looker (preferred), Tableau or Mode
Strong oral and written communication skills, and ability to collaborate with cross-functional partners to build the business

Preferred Qualifications

Experience with Github / Gitlab and source control
Experience contributing to or developing an ETL using such tools as Airflow and db

Benefits & Perks

Opportunity to join a fast-growing startup and help shape and establish the company’s industry leadership
Competitive health benefits
Unlimited PTO for salaried roles
Pre-tax commuter benefits
Monthly cell phone bill stipend
Wellness, Home Office & Internet perk for salaried roles
A monthly Mental Health Day-Off for salaried roles
401K
WeWork Pass (eligible remote salaried FTE)

Spin is an equal opportunity employer and will not discriminate against any employee or applicant for employment in an unlawful matter. We celebrate diversity and are committed to creating an inclusive environment for all individuals. Spin treats all employees and job applicants on the basis of merit, qualifications, and competence without regard to any qualified individuals' sex, race, color, religion, national origin, ancestry, gender (including pregnancy, breastfeeding, or related medical condition), sexual orientation, gender identity, gender expression, age, physical or mental disability, medical condition, genetic characteristic or information, marital status, military and veteran status, or any other characteristic protected by state or federal law. Spin also considers qualified applicants with criminal histories, consistent with applicable local, state, and federal law.
Spin is committed to providing reasonable accommodations for qualified individuals with disabilities in its job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at job_accommodations@spin.pm.


Are you passionate about information retrieval, machine learning and data science? Do you describe yourself as an innovative problem solver? Looking for an opportunity that will directly impact the customer experience at Gopuff? Come join the Gopuff Data Science team and #ChangeTheGame.

As a Data Science Manager on the Gopuff Search and Discovery team, you’ll lead the team to tune our search retrieval, create ranking models, develop query understanding techniques and build recommenders so that we can show the perfect products to users to provide the best discovery experience. You’ll have the opportunity to make a huge impact on the future success of Gopuff.

Responsibilities

Lead, manage and grow the Search and Discovery data science team
Work with product partners and the team to define product roadmap and quarterly goals.
Hold accountable for the delivery of data science products.
Refine the notion of search relevance between a product and a query and achieve personalized search results.
Use natural language processing techniques to understand the intent behind a search query to better serve results.
Build next generation recommender systems with personalization that power the Gopuff app to achieve better conversion rate and AOV.
Productionize and deploy models using cloud based tech stacks including Snowflake, Databricks, Azure and Elastic cloud.
Mentor and grow team members to achieve their career milestones.

Qualifications

6-10 years of experience in data science, and at least 2 years of experience as a tech manager.
MS or PhD in statistics, mathematics, computer science, engineering or another quantitative field.
Extensive experience in search, ranking algorithms and recommender systems.
Excellent Skills in Python and SQL.
Experience in deploying models in a production environment.Experience in managing stakeholder relationships.
Excellent communication and presentation skills.
Ability to explain technical concepts in simple terms to business stakeholders.

Benefits
We want to help our employees stay safe and healthy! We offer comprehensive medical, dental, and vision insurance, optional FSAs and HSA plans, 401k, commuter benefits, supplemental employee, spouse and child life insurance to all eligible employees.

We also offer:
-Gopuff employee discount
-Career growth opportunities
-Internal rewards programs
-Annual performance appraisal and bonus

At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes.

And now, we’re assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.

Like what you’re hearing? Then join us on Team Blue.

Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.


Data Science Analytics Lead

The Company

Outschool's mission is to inspire kids to love learning. We achieve this by linking learning to kids’ interests, connecting them with other classmates who share their passions, and giving them the autonomy to pick their own paths. Our small group classes meet over live video chat with teachers who celebrate their unique strengths and empower all learners to develop confidence and a strong sense of self.

We're also focused on removing barriers for historically underserved learners who face systemic challenges to their success. In 2020, we started Outschool.org and began offering financial assistance to families in need. We are currently creating an Educator Endowment Fund to appreciate the teachers who are so central to our mission of inspiring kids to love learning.

We believe that diversity drives learning. To meet our mission, we encourage, support, and celebrate different ideas, perspectives, and backgrounds. As a fully distributed (remote) team, we challenge one another to find the most effective way to empower learners, teachers, and parents. Your name, race, religion, gender, nationality, sexual orientation, and age are not barriers; they are why we want to work with you. We invite talented and creative candidates who value the importance of nurturing a child's boundless curiosity to join us on this journey.

The pandemic has been challenging for families all over the globe. We acted quickly and worked together to provide quality resources to learners, parents, and teachers in the past year. As communities worldwide rethink their approach to education, Outschool will continue to innovate and provide kids with unique opportunities to explore their passions.

Last year Techcrunch recognized Outschool as the newest EdTech unicorn. We've also been named Fast Company’s most innovative EdTech company in the world, and one of the top ten best startups for women from Elpha.

The Role

Outschool is searching for a Data Science & Analytics Lead to join our team. We're looking for someone with demonstrated experience in recruiting, hiring, managing, and mentoring Data Scientists and Analysts. You'll collaborate with members of all teams, working especially closely with Data Engineering and Product, forging strong partnerships. Ideally, you have experience driving teams to become trusted thought partners and have worked cross-functionally to bring organizations to a state of being truly data-driven.

CORE RESPONSIBILITIES:

Recruit, hire, manage, and mentor world-class Data Analysts and Data Scientists
Leverage your people management and technical expertise as well as design thinking to help a growing team of Data Scientists and Analysts deliver high-impact, actionable insights
Improve reporting and data tools to empower data-driven decision making across our Product and Business teams
Set your team up for success by leveraging business insights, technical acumen, and strong cross-functional partnerships to communicate decisions via a clear data roadmap
Partner with Product leaders to identify, analyze, and size opportunities to drive product prioritization and strategy
Manage tracking the progress of feature rollouts and the long-term success of products
Lead teams to solve mission-critical business problems with appropriate statistical rigor
Ensure that projects have sound technical architecture and make use of appropriate technologies

DESIRED EXPERIENCE & SKILLS:

Strong track record of managing, mentoring, and hiring data analysts and data scientists
Significant experience conducting statistical analysis to drive business impact using Python or R, and SQL
Experienced team leader with the ability to effectively and strategically support the data needs of an organization and work closely with key stakeholders, including Data Engineering
Proven experience guiding data architecture, data pipelines, and ensuring data quality
Skilled in experimentation, including design, communicating experimental setup, implementation, and interpreting results for stakeholders
Understanding of marketplace dynamics and the unique data needs for these business models
Familiarity with consumer facing business metrics and best practices for measurement (eg Retention, CAC, LTV etc.)
Working knowledge of machine learning, predictive modeling, and causal inference methods
Strong communication skills, specifically when driving projects in a leadership role
Experience with owning DBT pipelines and visualization of those in tools such us Looker

OTHER CONSIDERATIONS:

Experience and understanding of large-scale online marketplaces or business
Experience working with education data
Have worked at a high growth startup and wore many hats while doing so, not just the data one
Experience at companies with social impact or non-profit divisions

OUTSCHOOL CARES:
At Outschool, we believe that taking care of one another enables us to do our best work. To us that means:

•Shared Financial Success: Competitive salaries, stock options, and investment plans that make saving for retirement easier.

•Health & Wellness: Comprehensive health, dental, vision, disability, and life insurance coverage options for employees and their families. Our medical benefits include fertility and family planning coverage. We also provide employees with online access to coaching and therapy sessions through our partner, ModernHealth.

•PTO & Family Benefits: PTO and family leave enable our team to take the time that we need to recharge, relax, and spend time with family and friends.

•Fully Distributed: With a team distributed across the US and Canada, we create a remote culture through expensable weekly meals, virtual events, expensable home office setup, and internet allowance.

•Lifelong Learners: Annual budgets to self-direct our professional development as well as DEI learning. There’s also a budget for employees’ learners to take classes on Outschool!

•Community Impact: Outschool matches employee donations to established charities and has committed to donating $3M to Outschool.org non-profit programs.

Outschool is an equal opportunity employer. We view diversity as a moral imperative and competitive advantage. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We plan and structure our interviews to directly assess skills and experience.

Outschool is committed to providing reasonable accommodations to neurodiverse individuals, applicants with physical and mental disabilities, and disabled veterans. For individuals who would like to request an accommodation, you may reach out to us at recruiting@outschool.com or through your Recruiting point of contact as you schedule your initial interview.

Benefits packages are included for full-time employees only.
Full-time employees must be a citizen or legal residents of the U.S. or Canada and reside in U.S. or Canada.


Senior Data Scientist Search And Recommendations

The Role:
The Senior Data Scientist will improve the Content Discovery experience for teachers and students, primarily working on improving personalization and search relevance. You will identify and improve algorithms feeding into our personalization and search engines to drive meaningful improvements on user engagement. Additionally, you will evaluate your candidate algorithms ( heuristics-based or machine learning/NLP approaches), by using the appropriate offline and online metrics for A/B tests. You will also become an expert at our user problems, using data to validate user problems and understand our content. These understandings can translate into automating signals to feed into our search relevance and personalization engines. Reporting to the Director of Data Science, you will partner closely with the Search and Recommendations product, engineering, and design teams to have a holistic understanding of our Content Discovery strategy..
Why You’ll Love This Role:
As a member of our growing Data Science team, you will have the opportunity to build our search and personalization engines from the ground up, directly impacting educational outcomes of our students. You will have the opportunity to improve search relevance, work with NLP by developing algorithms. You will also gain exposure to the educational space and how students learn in the classroom. Your work will have a direct impact on helping teachers quickly find meaningful materials for their classrooms and engaging and appropriate content for students, which will ultimately scale Newsela’s ability to bring engaging, culturally responsive learning content to K-12 classrooms nationwide.
Why We’ll Love You:
You have 3-5 years of experience in data science and machine learning, preferably with experience in search relevance. You have demonstrated success in an end-to-end machine learning pipeline, from analysis to choosing of algorithms, to working with the engineering team to deploy to production. You are able to leverage your product-thinking mindset and expertise in machine learning tradeoffs to effectively choose solutions best for teachers and students. You prefer deploying practical solutions to test rather than researching theoretical ideas, and you prefer simple, interpretable solutions over complexity.  While not required, experience with a content platform and personalization engines, or experience with NLP is a plus.
About Newsela
One of the fastest growing tech companies in K-12 education, Newsela was founded on the principle that while every child may have unique learning preferences, they all deserve a rich learning experience that ignites a love of learning. We built our platform based on learning science research to deliver the most engaging, authentic content to modernize how teaching happens in the classroom. Along with interactive assessments and tools, we provide teachers with digital content at five reading levels -- from +100 of the best sources -- that is relevant to the diverse backgrounds and interests of their students. Since we started in 2013, we’ve established a presence in 90% of U.S. K-12 schools and over 2.5M teachers and 37M students have registered with Newsela.


Research Scientist

At Deepgram, we spend every day tackling big, real-world challenges in speech. We strongly believe that speech is the next frontier of interface and know that the speech technologies of 30 years ago won’t be tomorrow’s game-changers. That’s where Deepgram’s Deep Learning Research Scientists come in. Our customers hire us to solve their hardest problems in speech, taking real, complex audio and transforming it into novel insights. These challenges provide opportunities for creativity and innovative problem-solving every day.

Deepgram is looking for a Senior Deep Learning Research Scientist to tackle some of the most exciting and difficult problems at the forefront of ASR and NLU technologies. In this role, you will become a leading expert in our model training techniques and a valued resource for the team on issues related to model creation and refinement. You will design, train, and deploy state-of-the-art ASR models on the latest GPU hardware, as well as explore new learning techniques, data analytics methods, and software architectures to improve Deepgram’s product. You will also lead the identification and investigation of opportunities to improve our existing solutions as well as developing new capabilities, including research on the design and deployment of CNNs and RNNs, the development of new ASR and NLU training algorithms, and more.

Our ideal candidate will thrive in a fast-paced, impact-driven startup environment where learning new skills on the fly is admired and encouraged. You’ll work alongside top-caliber ASR and DL experts in an environment that is collegial and fun. You’ll see your curiosity and enthusiasm for the research cascade into the work of your peers. You’ll respond to new challenges by taking initiative, making a plan, following the data, and communicating your results to the team for feedback. You’ll learn our customer use cases and write efficient, production-quality code to respond to their needs. You’ll have the freedom to innovate and uncover breakthroughs — and influence our product roadmap in turn. We look forward to you bringing your whole self to work, sharing learnings from your latest experiments, and collaborating with us to advance the state of speech technology.

The Impact

Understand the latest advances in deep learning and speech analytics, with a particular eye towards their implications and applications within our products.
Develop new, or maturing existing, models for speech analytics.
Analyze new datasets for untapped potential.
Deploy new models to production.
Configure systems (software, hardware, network, etc.) for optimal machine learning performance.
Develop state-of-the-art tools for correcting, improving, and enhancing ASR performance and NLU features using a variety of deep learning techniques.
Remain steadfastly results-driven in the face of ambiguous problems and uncertain outcomes.

Skills Needed

5+ years of experience in deep learning research, with a solid understanding of the applications and implications of different neural network types, architectures, and loss mechanisms.
Experience working with speech data in the context of research or industry intelligence systems.
Familiarity with one or more of the popular deep learning frameworks: PyTorch, TensorFlow, Keras, etc.
Competence with Python, and preferably knowledge of C, C++, and/or Rust.
Familiarity navigating UNIX-style systems.
Comfort with communicating and brainstorming in groups, and with leading new research initiatives.
Understanding of traditional machine learning algorithms and how to use them effectively in practice.

Deepgram’s end-to-end deep neural network is revolutionizing the speech-to-text (STT) market and taking on the big guys. We’re redefining what companies can do with voice technology by offering a platform with AI architectural advantage, not legacy tech retrofitted with AI. We’ve raised over $56 million and have been recognized as an Inc. Best Workplace (2021), a Forbes Top 50 AI Company to Watch (2021), and a CB Insights Top 100 AI Startup (2021), among others.

Our tech advantage is end-to-end deep learning, but our strength lies in our diversity of people, ideas, and experiences that allow our company to create amazing STT products for people who are true innovators in the field. We believe every voice should be heard—and understood—from our transcriptions to our customers to our employees. Come join our revolution to unlock the power of voice technology for everyone. We want to hear what you’ve got to say!