Data Scientist Skills Product Platform Us

This position is also available for employment in these areas:Remote - USA, Remote - UtahJob Description:At Pluralsight, you will be part of an established team of collaborative data scientists supporting our Skills product platform. You will work closely with multiple teams to identify and implement improvements to our Skills platform powered by data science. This role is a good fit for hands-on data scientists who enjoy experimenting with new ideas and working with cloud computing technologies. That’s you, right? Who you’re committed to being:
Critical problem solver who understands how data science can solve business problems
Interpreter who finds trends and patterns in disparate data
Independent creator of models, analyses, and visualizations
Communicator able to translate technical details into business insights
Partner to internal stakeholders who share high-value business objectives
 What you’ll own:
Applying data science to content search and discovery challenges
Cross-functional project collaboration on data science deliverables
Development and implementation of analyses and predictive models
Continuous testing and improvement of deployed solutions
Explanation of algorithms to business partners, eliminating “black box” distrust
Presentation of results to business partners and company leaders
 Experience you’ll need:
Applying statistics and data science theories and techniques
Working with popular data science languages and tools (Python, R, Jupyter Notebooks, scikit-learn, pandas, tensorflow, pytorch)
Using SQL and relational databases as well as big data platforms (Snowflake, Kafka)
Producing effective and interactive data visualizations (Tableau, Shiny, Dash)
Preferred but not required: Familiarity with cloud computing (AWS), Airflow, NLP, and recommender systems
 Working at PluralsightFounded in 2004 and trusted by Fortune 500 companies, Pluralsight is the technology skills platform organizations and individuals in 150+ countries count on to innovate faster and create progress for the world. At Pluralsight, we believe everyone should have the opportunity to create progress through technology. That everyone should have access to the skills of tomorrow. That technology can make the world a better place. Through the work we do every day, we empower the people who power our world. And we don’t let fear, egos or drama distract us from our mission. Our mission to democratize technology skills is what drives us and our values are at the helm of how we work together. It’s our commitment to practicing them day in, day out that enables our performance. We’re adults, and we treat each other that way. We have the autonomy to do our jobs, transparency to eliminate office politics and trust each other to do the right thing. We thrive in an environment with creativity around every corner, challenges that keep us on our toes, and peers who inspire us to be the best we can be. We bring different viewpoints, backgrounds and experiences, and united by our mission, we are one.  Be yourself. Pluralsight is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.#LI-SK#LI-Remote


Senior Data Scientist Lending

The Role
The Lending Business Insights team is seeking a Senior Data Scientist who will help support growth in our Personal Loans, Student Loans, and Mortgage businesses by improving SoFi’s ability to execute with data.  This is an exciting role for someone to leverage their technical skills in Python and SQL to create robust reporting, analytical, and machine learning capabilities in Snowflake with Airflow and dbt.  Success in this role hinges on your technical aptitude and quantitative abilities: you know how to plow through data with dbt, perform analysis in Python with the right levels of abstraction for code reuse, and measure business performance by efficiently calculating key performance indicators.  You treat stakeholders as a partnership – you are there at each step of the way and you know that we only succeed if we succeed together.

What you’ll do:

Leverage DBT and Airflow to build reporting pipelines in Snowflake
Create abstractions to encapsulate business logic inside Snowflake and outside of BI tools
Build frameworks to ensure consistent reporting of KPIs across platforms
Establish best practices for working with Data Observability tools
Stay on top of new features available in our data stack and understand how to leverage them to improve our existing processes.
Develop processes with cross functional partners to better enable optimizing core product decisions such as funnel conversion, product experimentation, prospect targeting, web page optimization, and unit economics.

What you’ll need:

M.B.A, B.S. or M.S. in Statistics, Economics, Engineering, Computer Science, Mathematics or a related quantitative field is required for this position;
5+ years of experience working in an Analytics or Engineering role in Finance or Tech
Experience with using Airflow and DBT to build Data Pipelines in Snowflake

Strong programming skills in SQL and Python

Experience with building data visualizations with Tableau, Looker or other BI tools
Ability to work in a dynamic, cross-functional environment, with a strong attention to detail;
Effective communication and presentation skills and ability to explain complex analyses in simple terms to business leaders;
Strong relationship building and collaborative skills;
Exceptional problem-solving skills;


Sr Data Scientist Relay

The Role
The ECI (Enterprise, Content & Insights) team is seeking a Senior Data Scientist who will lead Data Science for SoFi’s Personal Finance Management (Relay Insights) business.  This is an exciting role for someone to drive customer-centric insights that will make a direct impact on Product, Finance & Marketing strategy.   Success in this role hinges on your technical aptitude, quantitative abilities, collaboration and business acumen: you know how to plow through data in Snowflake with Airflow and DBT, surface deep insights with Statistical and ML techniques, and measure business impact. You treat stakeholders as a partnership – you are there at each step of the way and you know that we only succeed if we succeed together.

What you’ll do:

Drive growth by crafting, analyzing and presenting customer behavior metrics such as funnel conversion, user churn, cross-sell metrics, Life Time Value. Work with teams cross-functionally to design tests to improve these metrics.
Own end-to-end product analytics workflow including formulating success metrics, processing, cleaning & verifying data integrity, investigating new sources of data to improve insights, and ultimately summarizing and socializing insights with leadership in Relay and across SoFi
Build models, identify trends and build tools that help decision-makers understand data and more quickly take action
Build self-service solutions and dashboards to enable others in the organization to leverage your work.
Leverage DBT and Airflow to build reporting pipelines in Snowflake
Proactively develop recommendations for how Relay can use data to solve problems and make decisions
Coordinate with Product & Eng on new feature releases to ensure metrics are accurately tracked and captured towards OKRs

What you’ll need:

4+ years of relevant work experience
M.B.A, B.S. or M.S. in Statistics, Economics, Engineering, Computer Science, Mathematics or a related quantitative field is required for this position;
Proven track record of end-to-end experience in building analytical frameworks to inform business strategy;
3+ years of experience working in an Analytics role in Finance or Tech
Strong programming skills in SQL, Python, and proficiency in Tableau
Experience with using Airflow and DBT to build Data Pipelines in Snowflake
Ability to work in a dynamic, cross-functional environment, with strong attention to detail;
Effective communication and presentation skills and ability to explain complex analyses in simple terms to business leaders;
Strong relationship-building and collaborative skills;
Exceptional problem-solving skills;


Senior Data Scientist Product Analytics

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
At Atlassian, our mission is to unleash the potential of every team. Every day, millions of people and thousands of teams use our products including Confluence, Trello, Jira Software and Jira Service Management to collaborate. To reach every team, our future growth goals rely on increasing new customer signups and reducing existing customer churn. You will play an important part in achieving that ambition, using data and analytical insight to better understand our customer funnel and purchase journey, identifying new growth levers and informing future product roadmaps.
What you'll do
Use standard and advanced analytics techniques on complex and imperfect data to a high analytical standardBuild trusted relationships across analytics, product and strategy teams.Define analytics project plan and complete it, making tradeoff calls based on capacity, effort required and other prioritiesShape experimentation roadmaps and strategyDesign A/B testsAnalyze new cross-product product features with a growth lensIdentify new opportunities for customer and user growth and retentionTransform business problems into a set of analytics projects using an appropriate technique, and communicate results in a meaningful story with relevant insightsContribute to our team and culture such as contributing to QA reviews, mentorship and brainstorming sessionsBuild stakeholder relationships and understand core problems to direct attention and ensure project align with partner priorities.
Your background
5+ years of experience working in data analysis, statistics or related fieldsExpertise in SQL (or another data query language) to manipulate large and complicated data for custom and ongoing analysesProficiency in at least one visualization tool (e.g. Tableau, Dash) to share insightsProficiency in one of Python or R for data science applications and associated packagesProject management skills, including project plan execution


Senior Data Scientist Customer Analytics Ecosystem

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
Atlassian is looking for a Data Scientist to join our Customer Analytics team. We're looking for someone with analytical thinking, who is passionate about building data products from scratch to inspire a massive company transformation.
You will work within our Ecosystem team and will manage our Developer and Partner experience. Our 2nd and 3rd-party developers build apps and integrations that can be found on the Atlassian Marketplace, which recently exceeded 2 billion in sales!
The Customer Analytics team at Atlassian uses insights from user behavioral data to improve the way our customers use our products in their daily work. We are a collaborative team with a high bar of rigorous analyses, and we love to have fun along the way
What you'll do
Work with other product leaders to identify opportunities for analytics, and align analytics and data science priorities with the product roadmapPlay with our large volume of analytics data to understand insightful trends and employ this behavioral data and insights to improve user journeys and customer valuePromote the measurement culture and understand the impact of our product strategy; including designing and analyzing experiments and feature launchesEnvision, scope, and build projects by collaborating with partners, customer research, data engineers and other analystsShare your high-quality insights to different levels of leadership to guide important decisionsFoster a world-class analytics culture, leading by example, through blogging, speaking, and the creation of self-service tools, to make a lasting change in how your partners use data to make decisions
Your background
4+ years of experience applying your analytics skills to projects which have an impact on strategic and product roadmap decisionsExpertise in SQL and proficiency in another data programming language (Python, R, etc.)An Agile development mindset, appreciating the benefit of constant iteration and improvement. A very high bar for output quality, while balancing "having something now" vs. "perfection in the future"Proficiency in at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects)Ability to explain complex concepts to diverse audiences, and creating compelling storiesProject management and prioritization experience; preferably with Data Engineering, Product Management, Research and Engineering teamsExperience using statistics as part of your role (e.g. regressions, A/B tests, forecasting)A degree in a quantitative discipline (e.g. statistics, mathematics, physics, econometrics, or computer science)


Data Scientist Data Analytics Engineering

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
Do you have experience examining complex data and turning it into useful information and insights? Do you love finding the next big 'aha' insight which changes the way a business thinks about their customers? Would you like to lead change with global impact at the world's hottest SaaS company?
Atlassian is looking for a data quality expert to join our Marketing Analytics team as a Data Scientist, Data Analytics Engineering. We're looking for someone with business instincts and analytics mastery, who is passionate about applying these skills to lead smarter data decisions and delight our customers. You'll build scalable marketing analytics data products and pipelines. You'll do this by partnering with analytics and data engineering experts to understand the business and data landscape and build a data foundations roadmap.
What you'll do
Manage marketing analytics data product programs and pipelines (such as attribution or paid performance pipeline).Build productized data assets that meet customer needs that are scalable enough to growOversee data requirement gathering (including metrics and definitions alignment), establishing acceptance criteria, QAing, and testing for new products from start to finish to ensure everything is implemented and validated.Prioritize improvements and complete deep dives that build short-term improvements while partnering with broader data engineering team to define long-term road mapEstablish documentation for data product assetsPartner with marketing analytics and data engineering leadership to achieve "the best" data models and productsGuide demos sessions and education roll out for new data products and features to ensure adoption and usage
Your background
3+ years working with data analysis and engineeringAn Agile development mindset, appreciating the benefit of constant iteration and improvement. A very high bar for output quality, while balancing "having something now" vs. "perfection in the future"Expertise in data modeling, (e.g. SQL, Python), knowledge of cloud data environments (e.g. AWS), and experience with data ETLs and UAT processesStrength in one or more visualization tools (Tableau, R-Shiny, etc)An understanding of the SaaS development, business model and metricsFamiliarity working with Product Management, Engineering, Design, Customer Research and Data Engineering teamsA degree in a quantitative discipline (e.g. statistics, mathematics, physics, econometrics, or computer science)


Senior Product Data Scientist Enterprise Trust

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Does the challenge of scaling a fast-growing company by empowering it with data and analytical insight excite you? Using your business instincts, analytics mastery and creativity, you will support a market-leading product, from analysis through to action. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, this could be a great fit!
You have a proven track record of delivering analyses leading to product or business strategy insights. You develop strong and trusted relationships with product executives and use your communication skills to change the way your partners approach problems, and influence product roadmaps. You are passionately driving your learning and growth in a dynamic, fast-paced environment.
In this role, you will work closely with the Enterprise Trust product management team to ensure our cloud is secure and ready for our enterprise customers. Whether it's SSO, directory syncing, or enhanced security, you'll be focused on supporting a broad portfolio of enterprise administration features and capabilities through their product lifecycle. You will often use imperfect data to influence strategic company decisions under tight timelines. We're looking for someone who is excited about building a strong data foundation with analytical rigor and best practices to make us best of class. This is a role that will stretch you, accelerate your learning curve, and give you the chance to really leave your mark in the history of Atlassian.
On your first day, we'd expect you to have:
Strong sense of accountability, self-drive, and the ability to function independentlyExtensive experience in analytics, statistics or closely related fieldsProficiency in SQL and expertise in Python / RA strong intuition for crafting raw data and analysis into well-written and persuasive contentThe ability to prioritize your time wisely against multiple competing projects and requestsExperience translating insights into decisions and actions that have a direct business impactExperience instrumenting data and supporting products and/or features through their lifecycle
It's great, but not required, if you have:
Track record of presenting at meet-ups and conferencesMS, MBA or PhD degree in a relevant topic


Principal Data Scientist

We are looking for a Principal Data Scientist passionate about all things Identity. This person has experience in Identity Graphs for Identity Resolution. The role leads methodology development for the entire  Identity Resolution system.
TECHNOLOGY:

Python, Databricks, Snowflake, Postgres, Parquet, Neo4j
Pytorch, Boosted Trees
AWS, GCP, and On-prem Ecosystem
Kubernetes, Docker

RESPONSIBILITIES:

Partner with leaders, engineers, and data scientists to lead the development of an Identity Resolution system.
Communicate and drive adoption of new tech across our data science and engineering department.
Break down product initiative requirements, identify dependencies and create implementation plans.
Collaborate with product management and engineering leaders to understand requirements and gain alignment on product scope ahead of implementation.
Mentor individuals through detailed feedback during code and architecture reviews.
Mentor data scientists for technical leadership and best practices.
Act as a product expert to answer questions, explain results, and evangelize our products to customers or internal clients.

QUALIFICATIONS:
5+ years of production experience with:

A scripting language like Python.
Deploying models in a production environment.
Working cross-functionally delivering products to clients.

2+ years of production experience with:

Deploying Identity Resolution related models.
Writing SQL statements.
Communication with upper management.

Other Qualifications (Prefered but NOT required):

Experience using a graphing database like Neo4j.
Experience specifically with Pyspark and working with large data sets.
Experience handling PII data in compliance environments like CCPA or GDPR

PERKS:

Unlimited paid time off each year
Company sponsored health, dental and vision benefits for you and your dependents
Annual vacation and childcare stipends
Access to state-of-the-art fitness classes and personal trainers to promote your well-being
Partnership with DoorDash for meal deliveries
Employee Advisory Groups / Proactive Social Groups
Pet Funds + Pet Care Savings
401k Plan
Referral Bonus
Progressive approach to paid parental leave
Epic personal and professional growth opportunities

ABOUT
At VideoAmp, we believe in challenging advertising paradigms to maximize value for clients. We do this by enabling companies to execute on business outcomes across their media investment instead of more traditional media metrics. VideoAmp is the software and data solutions company powering the convergence of linear TV and digital video advertising. Our solutions connect linear TV viewership with addressable data assets to benefit the marketing and media industries. This enables marketers and content owners to holistically plan, transact, and measure deduplicated audiences across digital video, OTT, connected and linear TV advertising. Come and join us!Come and Join Us!

#LI-Remote


Sr Data Scientist Marketing Analytics

Description
Description - External
The Senior Data Scientist will be responsible for supporting a wide range of analytical functions, potentially including but not limited to: data intelligence, analytical insights, machine learning, customer analytics, data management, campaign management,  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 agile marketing area of the bank. This Senior 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 across various Bank products Streamline 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 structureFormulate techniques for quality data collection to ensure adequacy, accuracy and legitimacy of data.Measure, track and report performance of various Marketing Campaigns. This is not limited but includes reporting on marketing KPIs like Cost per acquisition, conversion rates, click rates, website traffic and social media engagement
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:
4+ years of experience in Analytics/Database Marketing/Quantitative Modeling, with experience in Financial Services preferred4+ 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.)
Education, Certifications and/or Other Professional Credentials:
Bachelor's Degree in Engineering/Statistics/Mathematics/Physics/Computer Science required, PhD preferred
Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.


Sr Data Scientist Advanced Analytics

Description
The Senior Data Scientist will be responsible for developing a wide range of analytical functions, potentially including but not limited to: machine learning, developing statistical models, identifying new opportunities and process improvements, and providing analytical insights and strategic direction to stakeholders, all in service of enhancing the customer experience.
As a Sr. Data Scientist, you will work alongside other Senior and Principal Data Scientists and subject matter experts to collect, organize, and prepare data, and to develop and analyze models, as well as to provide data-driven insights to the Collections and Recovery team.
Primary Responsibilities:
Efficiently develop and implement highly-performant models using a variety of toolsBuild relationships with the business line to access and interpret data sources, and identify process improvement opportunitiesApply appropriate quantitative techniques such as exploratory data analysis, regression analysis, supervised and unsupervised learning, feature engineering, statistical sampling, and data visualizationDocument and communicate analytic insights for both technical and non-technical audiences, often within an Agile frameworkDesign prototypes and perform ad hoc analysis for new analytical outputs like graphs, model scores, etc.Prepare model documentation and respond to effective challenges from model validation, internal audit, and regulatory reviews; oversee the tracking and execution of all external and internal validation findings related to vendor and internally developed modelsSupport ad-hoc requests from the line of business by understanding, communicating, and managing model risks
Qualifications
Required Skills/Experience
4-6 years of work experience in data modeling, statistical analysis, and relevant computing requirementsExperience in producing documentation in a highly regulated environmentStrong experience in Python, R, SQL  to manipulate data and draw insights from large data sets
Strong 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, or information technologyExperience working on the Collections model is a plus
Education
Master's Degree or higher in Statistics/Mathematics/Computer Science
Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.


Data Science Senior Advisor Medicare Advantage Advanced Analytics Evernorth

Summary
Medicare Advantage is a fast-growing Cigna business that depends on complete and accurate documentation for all members in our population. To that end, this role involves leading the design and development of new models utilizing complete longitudinal clinical records for each customer. This means developing new tools and techniques, using a variety of internal and external data sources, to enable a comprehensive understanding of a member’s clinically relevant information. You will join a collaborative, cross-functional team of stakeholders to solve challenging, open-ended problems. You will communicate modeling results and recommended process changes to MA leaders.
Key questions you would help solve include:
How do enable a comprehensive understanding of a member’s clinically relevant information?How do we incorporate clinical data and insights (structured and unstructured) into meaningful insights for our business and clinical partners?What is the potential business impact that can be driven by modeling results?Which model best addresses the business need at hand?
Are you are a data and analytics expert who enjoys collaborating and creating a “meeting of the minds” between business partners and analytics? Do you have experience of working with large databases (particularly with claims or clinical data), and manipulating data in a cloud environment (like AWS)? Do you enjoy digging deep into the data to surface new statistical insights, while incorporating guidance and suggestions from clinical experts? Do you excel at translating complex, technical analyses into simple, business-relevant findings and communicating those findings to business partners? Are you are self-motivated and enjoy working in a fast paced environment? If so, keep reading!
This position is with Evernorth, a new business within the Cigna Corporation.
Responsibilities
Initiate collaboration with stakeholders across the MA business to prioritize and define key performance indicators that can be addressed with risk adjustment targeting modelsEnhance the set of models that prioritize outreach efforts using various analytics tools and techniquesDevelop clear and thoughtful materials to communicate results/recommendations to business partnersWork effectively and efficiently on multiple tasks and deadlines, while producing high quality resultsEnsure quality and integrity of data collected and analyses performed
Qualifications
4+ years of work experience in health insurance analytics or actuarial/finance analysisExperience with ACA or MA risk adjustment scoring algorithms and targeting modelsExperience building and deploying machine learning algorithms in production preferredExperience with SQL-based relational databasesExcellent command of data science libraries in PythonProficiency with syntactic and semantic interoperability of health information exchange using data standards such as SNOMED CT, RxNorm, LOINC, and variations of HL7 (e.g. 2, FHIR, etc.)Experience working in a cloud based environment (preferably AWS)Ability to work with business partners in consultative mannerAbility to independently prioritize and manage multiple responsibilities
For this position, we anticipate offering an annual salary of $108,200 - $180,400, depending on relevant factors, including experience and geographic location.
This role is also anticipated to be eligible to participate in an annual bonus plan.
Helping our customers achieve healthier, more secure lives is at the heart of what we do. While you take care of our customers, we’ll take care of you through a comprehensive benefits program that helps you be at your best. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and best in class well-being and behavioral health programs. We also offer 401(k) with company match, company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and dozens of corporate discounts on essentials you use every day. For more details on our employee benefits programs, please visit the “Life at Cigna” tab on our careersite: www.cigna.com/careers
About Evernorth
Evernorth, Cigna Corporation’s health services segment, exists to elevate health for all. We're building on our legacy and redefining health care as we know it. Unbiased in how we think, we create without limitation. We partner without constraints, deliver value differently and act in the interest of humanity. Solving across silos, closing gaps in care, and empowering clients, customers, and people everywhere to move onward and upward. When you work with us, you’ll be empowered to solve the problems others don’t, won’t or can’t. Join us. What difference will you make?
Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.
If you require reasonable accommodation in completing the online application process, please email: SeeYourself@cigna.com for support. Do not email SeeYourself@cigna.com for an update on your application or to provide your resume as you will not receive a response.
Cigna has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.


Data Science Lead Analyst Express Scripts

Summary
The Data Science Lead Analyst provides advanced professional input to complex Data Science assignments/projects. Responsible for the research, extraction and analysis of data. Evaluates and writes reports. May research and analyze algorithms. Provides statistical data trends to business partners such as medical management and underwriting. May also assist in the designing and implementation of systems to analyze and report findings.  Combines IT capabilities with advanced clinical knowledge to determine trends, cost/benefit ratios, and forecasting of health care costs, medical management, and health economics. Supports and provides direction to more junior professionals. Works autonomously, only requiring “expert” level technical support from others. Exercises judgment in the evaluation, selection, and adaptation of both standard and complex techniques and procedures. Utilizes in-depth professional knowledge and acumen to develop models and procedures, and monitor trends, within Data Science.
Responsibilities
Develop analytic models and products, application of methods for analysis requests in manner that demonstrates understanding of & orientation against business valueWork content will be concentrated in the disciplines of forecasting & natural language processingCompletion of ad-hoc reporting and analytics for the product management team and our clients.  This requires combining business knowledge and data acumen along with technical skills (SQL, Python, and Tableau) to efficiently complete these ad-hoc requests.  Query data warehouse(s) using variety of tools availableConsultation with Enterprise Stakeholders and additionally account teams, financial analysts, and in some cases, clients to help understand complex (benefit setup, trend management solutions, pricing, and utilization) issues and inquiriesIndependently solve complex, analytical problems with innovative approaches and solutionsCreate efficiencies and reduce errors through automationComplete special projects as assigned
Qualifications
Experience working with Python or R, and SQL requiredUnderstanding and experience with Natural Language Processing concepts including sentiment analysis, lexicon design, text summarization, aspect mining, topic modeling, etc.Understanding and experience with leading supervised and unsupervised machine learning methods such as Multiple Regression, Logistic Regression, Neural Networks, Deep Learning, KNN, Naive Bayes, SVM, Decision Trees, Random Forest, Gradient Boosting, and Ensemble methodsAbility to creativity with analytical, technical, and business acumen to problem solveProven ability to collaborate with others, establish working relationships, and communicate effectively within a large corporate matrix environmentSelf-motivation and comfort with ambiguityBachelor’s and Advanced degree highly preferred in Statistics, Mathematics Econometrics, Economics, Computer Science, or Data Science or equivalent work experience highly desired
For this position, we anticipate offering an annual salary of $74,600 - $124,400, depending on relevant factors, including experience and geographic location.
This role is also anticipated to be eligible to participate in an annual bonus plan.
Helping our customers achieve healthier, more secure lives is at the heart of what we do. While you take care of our customers, we’ll take care of you through a comprehensive benefits program that helps you be at your best. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and best in class well-being and behavioral health programs. We also offer 401(k) with company match, company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and dozens of corporate discounts on essentials you use every day. For more details on our employee benefits programs, please visit the “Life at Cigna” tab on our careersite: www.cigna.com/careers
About Cigna
Cigna Corporation exists to improve lives. We are a global health service company dedicated to improving the health, well-being and peace of mind of those we serve. Together, with colleagues around the world, we aspire to transform health services, making them more affordable and accessible to millions. Through our unmatched expertise, bold action, fresh ideas and an unwavering commitment to patient-centered care, we are a force of health services innovation. When you work with us, or one of our subsidiaries, you’ll enjoy meaningful career experiences that enrich people’s lives. What difference will you make?
Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.
If you require reasonable accommodation in completing the online application process, please email: SeeYourself@cigna.com for support. Do not email SeeYourself@cigna.com for an update on your application or to provide your resume as you will not receive a response.
Cigna has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.


Data Science Advisor Medicare Advantage Advanced Analytics Evernorth

Summary
Medicare Advantage is a fast-growing Cigna business that depends on complete and accurate documentation for all members in our population. To that end, this role involves leading the design and development of new models to inform prospective initiatives for risk adjustment. This means leveraging a variety of claims-based and clinically-based (EHR) datasets to generate predictive models that enable a comprehensive understanding of a member’s clinically relevant information. You will join a collaborative, cross-functional team of stakeholders to meaningfully use these details to drive provider and member interventions. You will communicate modeling results and recommended process changes to MA leaders.
Key questions you would help solve include:
How can we build a machine learning algorithm to identify individuals at high risk for clinically relevant conditions, metrics of utilization, or other clinical outcomes?How do we incorporate clinical data and insights (structured and unstructured) into meaningful insights for our business and clinical partners?What is the potential business impact that can be driven by modeling results?Which model best addresses the business need at hand?What is the most effective outreach method to accurately document each customer’s risk?
You are a data and analytics expert who enjoys collaborating and creating a “meeting of the minds” between business partners and analytics. You have experience of working with large databases (particularly with claims and clinical data), and manipulating data in a cloud environment (like AWS). You enjoy digging deep into the data to surface new statistical insights, while incorporating guidance and suggestions from clinical experts. You excel at translating complex, technical analyses into simple, business-relevant findings and communicating those findings to business partners. You are self-motivated and enjoy working in a fast paced environment.
This position is with Evernorth, a new business within the Cigna Corporation.
Responsibilities
Consult independently with stakeholders across the MA business to prioritize and define key performance indicators that can be addressed with risk adjustment targeting models
Build and enhance models that prioritize outreach efforts using various analytical tools and techniques
Develop clear and thoughtful materials to communicate results/recommendations to business partners
Work effectively and efficiently on multiple tasks and deadlines, while producing high quality results.
Ensure quality and integrity of data collected and analyses performed
Qualifications
3+ years working with data in healthcare or life sciences field
Experience with SQL-based relational databases
Excellent command of data science libraries in Python
Experience working in a cloud based environment (preferably AWS)
Experience building and deploying machine learning algorithms in production preferred
Ability to independently prioritize and manage multiple responsibilities
Prior experience with ACA or MA risk adjustment program is preferred
Experience with diverse healthcare data preferred (e.g. claims, EHR, demographic, pharmacy, labs)
Bachelor’s Degree in a quantitative field (e.g. mathematics, statistics, computer science) or equivalent practical experience. Advanced degrees preferred
For this position, we anticipate offering an annual salary of $95,800 - $159,600, depending on relevant factors, including experience and geographic location.
This role is also anticipated to be eligible to participate in an annual bonus plan.
Helping our customers achieve healthier, more secure lives is at the heart of what we do. While you take care of our customers, we’ll take care of you through a comprehensive benefits program that helps you be at your best. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and best in class well-being and behavioral health programs. We also offer 401(k) with company match, company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and dozens of corporate discounts on essentials you use every day. For more details on our employee benefits programs, please visit the “Life at Cigna” tab on our careersite: www.cigna.com/careers
About Evernorth
Evernorth, Cigna Corporation’s health services segment, exists to elevate health for all. We're building on our legacy and redefining health care as we know it. Unbiased in how we think, we create without limitation. We partner without constraints, deliver value differently and act in the interest of humanity. Solving across silos, closing gaps in care, and empowering clients, customers, and people everywhere to move onward and upward. When you work with us, you’ll be empowered to solve the problems others don’t, won’t or can’t. Join us. What difference will you make?
Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.
If you require reasonable accommodation in completing the online application process, please email: SeeYourself@cigna.com for support. Do not email SeeYourself@cigna.com for an update on your application or to provide your resume as you will not receive a response.
Cigna has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.


Data Scientist

Mission:
The mission for the Data Scientist is to support the Product, Engineering, and Marketplace Operations teams by building reliable prediction solutions that can help Super Dispatch customers move cars faster. You will analyze and understand customer data, collaborate with other teams and departments, and improve existing recommendation and prediction engines. This is an exciting opportunity for an experienced data scientist to work on innovative solutions for our SaaS enabled marketplace.
Ideally this person will be within the Central/Eastern US or European time zones (between UTC-5 and UTC+2), so they are best able to collaborate with both our US and Central Asian teams.
Outcomes:
Build and evolve transformative, real-time marketplace pricing engines based on machine learning and reflective of dynamic market conditions
Improve existing recommendation or prediction engines by collaborating with key stakeholders (internal and external)
Develop a deep understanding of the overall business of Super Dispatch and the Auto Transport industry
Improve machine learning models to deliver reliable and scalable solutions
Collaborate with other departments and teams to improve data collection, process and error handling, and data normalization
Provide thought leadership on data science to Product and Engineering Teams with best practices
Collaborate with Marketplace Operations and Data Teams to identify and resolve issues using data science and machine learning methodologies
Competencies:
Curious  - you ask questions and are eager to learn.
Analytical mindset -  you are able to structure and process data and draw insightful conclusions from it.
Systematic thinker - you can balance big picture strategy with details, you have strong execution and delivery.
Problem solver - you have solved complex problems and have the aptitude to navigate uncharted waters.
Team player - you have a collaborative mindset, the ability to work with cross-functional teams, and build positive relationships with individuals across the organization.
Growth driven - you are willing to learn new tools and technologies to work effectively in a rapid growth environment with changing needs and requirements.
Self motivated - you work independently and take initiative.
Preferred Candidate:
2+ years experience in a data scientist role, preferably working on a recommender system
2+ years of professional experience synthesizing insights from data using Python, R, and SQL
2+ years experience with Machine Learning Frameworks (Tensorflow and/or PyTorch) and their real world applications
Experience working with AWS or GCP
What We Do:
Super Dispatch is one of the fastest growing tech startups in Kansas City, and we're transforming the world of vehicle shipping. The Super Dispatch platform is a one-stop-shop for everything Carriers and Shippers need to move cars faster, smarter, and easier. Backed by cutting edge technology and best-in-class software, Super Dispatch is the advanced auto transport experience taking carriers and shippers into the future.
Who We Are:
Our diverse team is comprised of highly motivated professionals with a passion for solving big problems with technology. Our core values are built around learning, growing, evolving, and continuous experimentation. We believe and practice taking bold risks. We embrace failure as a lesson. We put our team first. We are committed to supporting each other and helping each other grow on this journey.
The salary range for this position is $100k - $120k annually.
Please note: U.S. Citizens and those authorized to work for any employer in the U.S. are encouraged to apply. We are unable to provide sponsorship at this time.


Sr Data Scientist Techops

#WeAreCrowdStrike and our mission is to stop breaches. As a global leader in cybersecurity, our team changed the game. Since our inception, our market leading cloud-native platform has offered unparalleled protection against the most sophisticated cyberattacks. We’re looking for people with limitless passion, a relentless focus on innovation and a fanatical commitment to the customer to join us in shaping the future of cybersecurity. Consistently recognized as a top workplace, CrowdStrike is committed to cultivating an inclusive, remote-first culture that offers people the autonomy and flexibility to balance the needs of work and life while taking their career to the next level. Interested in working for a company that sets the standard and leads with integrity? Join us on a mission that matters - one team, one fight.About the Team:The CrowdStrike Technical Operation Analytics organization is growing an application development team. Our organization specializes in solving elusive problems. We are a hybrid team of scientists, developers, and analysts who directly support CrowdStrike leadership with custom and off-the-shelf applications.Our team offers the opportunity to engage directly with advanced technologies projects (e.g. data science, graph neural networks, natural language processing, and optimization) while improving our ability to protect customers (e.g. startups, Fortune 500, nonprofit, etc.) across all industries from global security threats.You should be ready to collaborate with cross-product engineering teams and business stakeholders to support data science and machine learning application development from prototyping through production-ready deployment and management culminating in deprecation. While the focus will primarily be on backend pipelines, data structures, APIs, and microservices architectures, the ability to help with frontend work will also be helpful.What You'll Need:
4+ years of experience as a full stack developer or similar role
Familiarity with Machine Learning
Experience developing web services with idiomatic language patterns using any of the following: Python, Java, Node.js, Go, Scala
Experience creating and maintaining pipelines, databases, and other backend systems
Preferred Qualifications:
Experience developing machine learning models (e.g. Classical Machine Learning, NLP, CNN)
Experience developing rich applications with HTML, CSS, front-end frameworks (such as React, Angular, Vue.js) and test frameworks (e.g. Jest, Mocha, Selenium)
Experience with AWS and Serverless technologies is a plus
Experience working with server side middleware technologies (Spring MVC, ExpressJS, Rails)
Familiarity with scrum/agile task tracking (e.g. Asana, JIRA, Confluence)
Able to identify and mitigate risk on projects
#LI-LY1#LI-MG1#LI-RemoteBenefits of Working at CrowdStrike:
Remote-first culture
Market leader in compensation and equity awards
Competitive vacation and flexible working arrangements
Comprehensive and inclusive health benefits
Physical and mental wellness programs
Paid parental leave, including adoption
A variety of professional development and mentorship opportunities
Offices with stocked kitchens when you need to fuel innovation and collaboration

We are committed to fostering a culture of belonging where everyone feels seen, heard, valued for who they are and empowered to succeed. Our approach to cultivating a diverse, equitable, and inclusive culture is rooted in listening, learning and collective action. By embracing the diversity of our people, we achieve our best work and fuel innovation - generating the best possible outcomes for our customers and the communities they serve.
CrowdStrike is committed to maintaining an environment of Equal Opportunity and Affirmative Action. If you need reasonable accommodation to access the information provided on this website, please contact Recruiting@crowdstrike.com, for further assistance.CrowdStrike, Inc. is committed to fair and equitable compensation practices. For applicants in Ithaca - NY, New Jersey City - NJ, and Colorado, the salary range is $145,000 - $230,000 per year + bonus + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, and certifications.  The salary range may differ in other states.CrowdStrike participates in the E-Verify program.                 Notice of E-Verify Participation                Right to Work


Data Science Intern Summer

CrowdStrike is a global leader in cybersecurity. Our University Program is dedicated to attracting and cultivating the next generation of talent in virtually every field. Our program offers paid positions that allow students and recent graduates to gain real-world experience and develop essential skills while they learn from the best and brightest working professionals. We offer our interns a structured program and supportive environment where they can ignite their passion for the future. Our University Program is designed to provide participants exposure to meaningful work that supports our mission to make the digital world a safer place to live and work. CrowdStrike is where your talent meets cutting-edge tech. Ready to start building a career you can be proud of? Join us!Start and End Date Options (12 Week Internship)Start Date: May 31, 2023 | End Date: August 18, 2023Start Date: June 5, 2023 | End Date: August 25, 2023 Start Date: June 12, 2023 |End Date: September 1, 2023 Company Overview:CrowdStrike is a global leader in cybersecurity. Our University Program is dedicated to attracting and cultivating the next generation of talent in virtually every field. Our program offers competitively paying positions that allow students and recent graduates to gain real-world experience and develop essential skills while they learn from the best and brightest working professionals. We offer our interns a structured twelve- or ten-week program and supportive, collaborative virtual, in-person, and hybrid environments where they can ignite their passion for the future of technology. Our University Program is designed to provide participants with exposure to meaningful work that supports CrowdStrike’s mission to make the digital world a safer place to live and work. CrowdStrike is where your talent meets cutting-edge tech. Ready to start building a career you can be proud of? Join us!We are committed to fostering a culture of belonging where everyone feels seen, heard, valued for who they are and empowered to succeed. Our approach to cultivating a diverse, equitable, and inclusive culture is rooted in listening, learning and collective action. By embracing the diversity of our people, we achieve our best work and fuel innovation - generating the best possible outcomes for our customers and the communities they serve. We encourage all prospective candidates to apply if their background matches the expertise below.Fully Remote:The Data Science Internship is fully remote and requires no travel. Your work location is the city/town/province you will be working from remotely. For our 12-week internship program, interns are allowed to work remotely from an alternative location for up to 2 weeks. Interns are also invited to work out of the CrowdStrike office located closest to their remote location.About the Role:
You will have the opportunity to apply your coding, mathematical and scientific research skills to the bleeding edge of security technology. You’ll be able to leverage large-scale rich data to meaningfully improve our supervised learning models and refine our identification of malicious computer software and behavioral threats.
Work directly with Sr. Data Scientists, helping to create predictive machine learning models that help detect and stop today's most sophisticated threats
Hone your ability to balance detail-oriented research with goal-oriented business objectives
Implement and experiment with new algorithms and methodologies to help improve our machine learning models
Automate an visualize analyses, results and processes in our machine learning pipeline
Minimum Qualifications:
By the beginning of the internship, interns must have completed at least 2 years at a 4-year undergraduate university.
Analytically minded with completed coursework in linear algebra and statistics or an equivalent knowledge of applied mathematics.
Experienced in writing python code to pre-process and analyze data to generate actionable insights.
Bonus Points:
Have experience working on very large data sets of sparse high dimensional data and experience in pre-processing and analyzing such data to gain actionable insights
Eagerness to learn working in a Linux environment in the AWS cloud
Passionate to gain knowledge of CI / CD and associated best practices along with Docker-based development and orchestration
Willing to learn to contribute to the open source community (GitHub, Stack Overflow, blogging)Prior experience with Spinnaker, Relational DBs, or KV Stores
What You Can Expect:
Remote-first culture
Executive Speaker Series & Tech Talks
Fun socials and give-back events (e.g. virtual trivia, escape rooms, Intern Spirit Week, etc.) occurring weekly
Development workshops to grow your soft and hard skills
Networking opportunities with fellow interns and CrowdStrikers
Owning impactful projects that move the company forward
Working alongside a diverse and global team
Assigned one-on-one mentor and continuous feedback
Participation in our Employee Resource Groups (ERGs)
Access to our FalconFit Wellness Program and Employee Assistance Program
Fun Slack channels (e.g. food, gaming, sports, pets, etc.)
Paid holidays, sick days, and 401k
Market leader in compensation
What You Can Expect:
Executive Speaker Series & Tech Talks
Fun socials and give-back events (e.g. virtual trivia, escape rooms, etc.)
Development workshops to grow your soft and hard skills
Networking opportunities with fellow interns and CrowdStrikers
Owning impactful projects that move the company forward
Working alongside a diverse and global team
Assigned mentor and continuous feedback
Participation in our Employee Resource Groups (ERGs)
Access to our FalconFit Wellness Program and Employee Assistance Program
Fun Slack channels (e.g. food, gaming, sports, pets, etc.)
Paid holidays and 401k matching
Remote-first culture
Market leader in compensation
We are committed to fostering a culture of belonging where everyone feels seen, heard, valued for who they are and empowered to succeed. Our approach to cultivating a diverse, equitable, and inclusive culture is rooted in listening, learning and collective action. By embracing the diversity of our people, we achieve our best work and fuel innovation - generating the best possible outcomes for our customers and the communities they serve.CrowdStrike is committed to maintaining an environment of Equal Opportunity and Affirmative Action. If you need reasonable accommodation to access the information provided on this website, please contact Recruiting@crowdstrike.com, for further assistance.CrowdStrike, Inc. is committed to fair and equitable compensation practices. For applicants in Ithaca - NY, New Jersey City - NJ, and Colorado, the hourly rate for this position is $40 - 45.CrowdStrike participates in the E-Verify program.                 Notice of E-Verify Participation                Right to Work


Manager Of Product Analytics

ezCater is the most trusted provider of corporate food solutions – a $300+ billion market in the US alone. ezCater is purpose-built for business. ezCater's corporate food platform and flexible, scalable food solutions allow organizations to centralize and track their food spend, and fulfill everything from daily employee meals to client meetings and company all-hands. ezCater backs this up with business-grade, best-in-class, customer service and an unmatched nationwide footprint. We're backed by top investors including Insight, Iconiq, Lightspeed, GIC, SoftBank, and Quadrille, and had an up-round in December of 2021 when we were valued at $1.6 billion.

Data and analytics are critical to our future growth at ezCater. As a Manager of Product Analytics, you will oversee all facets of analytics for multiple product domains, directly leading a team of analysts to leverage our rich data asset to identify and drive new growth opportunities, all while partnering closely with our Data, Analytics, Product Management, and Engineering colleagues.

The ideal candidate will be a strong critical thinker, able to tackle complex analytical challenges, and comfortable working across a broad array of advanced analytics techniques while being a trusted partner to a talented, collaborative peer group. You’ll also be comfortable rolling up your sleeves as a manager-doer in order to lead the team in implementing our analytics roadmap to tackle ambiguous analytics challenges, provide data-driven insights and solutions, and create scalable analytics practices and approaches across the business.

What You'll Do:

Lead, manage, mentor, and develop a growing team of product analysts, focused on our supply (Caterers & Partners) portion of our marketplace
Own and develop the strategic analytic 6-12 month roadmap and agenda to unlock insights about how our caterers use of our products to manage their business, guiding the business through action-oriented business insights and recommendations.
Distill insights and reporting from our end-consumer side of the marketplace to enable our catering partners and supply side of the market to better grow their business
Develop scalable analytic processes, methods, and self-service tools to ensure other analysts and partners are empowered to make data-driven decisions with a positive impact on success metrics
Lead the team in development, prioritization, and execution of analytic strategy for broad, complex, unstructured analytics problems while driving forward deliverables that address fundamental and ambiguous business questions.
Guide and direct analysts’ deep-dive advanced statistical and data science analyses (e.g. clustering models, classification, etc)
Collaborate with all facets of the organization including product management, engineering, and creative design to lead teams in identifying the most impactful ways for data and analytics to drive decision making and accelerate growth.
Identify the data and analytics necessary to  enable our catering partners to grow their business, developing financial impacts through scenario planning, modeling, and sensitivity analysis.
Explain how caterers are using our products through data-driven analysis, including a combination of ad hoc analyses, KPI definition & monitoring, dashboard & report building, experimentation design and analysis, and proactive insight generation and modeling.

What You Have:

Have 6-10 years experience in a relevant field, such as analytics or data science, performing quantitative and technical analysis, ideally with experience in marketplace or e-commerce environments (supply/operations side a plus)
Past experience leading and developing a team of individual contributors and/or large projects with multiple contributors
Self-directed and demonstrated ability to define, prioritize, and direct analytics initiatives
Experience proactively identifying areas where analytical efforts can add strong business value and setting the analytics roadmap for a team.
Demonstrated proficiency in explaining complex analysis to stakeholders at all levels of the organization and translating conclusions into straightforward, actionable business recommendations and strategic direction.
Expert proficiency in SQL; Experience with statistical modeling tools (R, Python) and common data science / ML approaches (e.g. Random Forest, Gradient Boosting and Logistic Regression, etc) a plus
Expert conducting quantitative analyses on large, complex data sets using modern data exploration and visualization software (e.g. Snowflake, Looker, Tableau, Google Data Studio, PowerBI)
Demonstrated success in communicating with and influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis.
Experience partnering with business teams on agile model development.
Experience in 2-sided marketplaces for both B2C and B2B customers is a plus
Experience with experimental test design including A/B testing a plus
Be able to own and deliver projects/programs both on your own and as a member of a broader team.

The national cash compensation range for this role is $132,000 - $176,000* per year

*Please note: Final offer amounts are determined by multiple factors, including prior experience, expertise and region & may vary from the amount above. This range does not represent additional compensation benefits (such as equity, 401K or medical, dental or vision insurance).

ezCater does not sponsor applicants for work visas or legal permanent residence.

What you’ll get from us:
You’ll get a terrifically compelling opportunity, in an environment of radical transparency, open access to all the data, and collaborative colleagues at every level of our organization. You’ll also get sane working hours and great flexibility around work/life balance.

Have people in your life – of any age – who always, often, or sometimes need your help? We make room for that. Have a bad thing or a good thing happen to you? We make room for that, too.

Oh, and you’ll get all this: Market salary, stock options that you’ll help make worth a lot, the usual holidays, all-you-can-eat vacation, 401K with ezCater match, health/dental/FSA, long-term disability insurance, remote-hybrid work from our awesome Boston or Denver offices OR your home OR a mixture of both home and office (you choose!), a tremendous amount of responsibility and autonomy, wicked awesome co-workers, cupcakes (and many more goodies) when you’re in one of our offices, and knowing that you helped get this rocket ship to the moon.

ezCater is an equal opportunity employer. We embrace humans of every background, appearance, race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, and disability status. At the same time, we do not employ jerks, even brilliant ones.

For information on how ezCater collects and uses job applicants' personal information, please visit our Job Applicant Privacy Policy.

#LI-Remote
#BI-Remote


Lead Data Scientist

Who's Clearcover?
Clearcover is the smarter car insurance company. We use powerful technology to offer everyday drivers better coverage for less money. We’re proud to be one of the fastest growing startups in Chicago, and we’re currently looking to add a few more extraordinary people to our team.
What is a Lead Data Scientist at Clearcover?
Clearcover has an enormous range of opportunities around data science and machine learning ranging from marketing and acquisition, fraud detection, customer experience, and claims payment. As a Lead Data Scientist, you will work closely and independently with our business partners, product teams, data engineers, and machine learning engineers to build and deploy machine learning and AI models to create and deliver real and measurable value for our customers. You will lead, coach, and mentor more junior data scientists while working independently on complex data science problems. We’re looking for someone curious and passionate about data and machine learning and using them to solve real world problems.
What will you do?

Lead, coach, and mentor junior data scientists
Review machine learning models and code
Work with our product managers and business stakeholders to identify and scope the highest value data science problems
Explore and understand our data and how they can feed production-grade machine learning models
Proactively utilize data and business understanding for feature engineering
Build, prototype, and deploy state-of-the-art machine learning models to solve real business problems
Communicate, interpret, and explain modeling output to stakeholders
Measure value of the machine learning models we deploy

What do you need?

5+ years of professional experience working as a data scientist
Experience mentoring, managing, or leading data scientists
Experience reviewing others’ models and code
Expertise in building and deploying machine learning models that have been adopted or implemented, and achieved measurable value
Experience using the Python data science stack; including pandas, scikit-learn, NumPy, XGBoost, notebook environments, etc.
Experience with Python, including object-oriented programming
Knowledge of SQL, including Snowflake or similar systems
Expertise with different types of machine learning techniques
Strong conceptual understanding of machine learning applied to real-world data, including the ability to identify and articulate modeling and data issues
Ability to work in and lead teams
Ability to quickly learn and keep up with the latest ML and AI technology
Ability to effectively communicate technical concepts to non-technical audiences

Nice to Haves?

Experience working in insurance, marketing, or fraud
An advanced degree

But wait, there’s more:As a people-first company, your health and well-being is a priority at Clearcover. While we do offer medical (and cover the vast majority of the premium), dental, vision (and cover 100% of those premiums) and 401K (we contribute 3% even if you contribute nothing), we’ve curated a stack of perks and benefits that stretch beyond the expected. With over half of our employees remote to the Chicago HQ office, we paved the way for flexible work locations and continue to offer this flexibility. Our people also have access to unlimited vacation, monthly mental health workshops, discounted gym memberships, equity in the company and an annual bonus program. Plus, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!Did you know that women and minorities are less likely to apply to a position if they don’t match 100% of the job qualifications? Don’t let that be the reason you miss out on this opportunity! We encourage you to apply anyway. Don’t count yourself out!  Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identity and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.


Sr Data Scientist

Who's Clearcover?
Clearcover is the smarter car insurance company. We use powerful technology to offer everyday drivers better coverage for less money. We’re proud to be one of the fastest growing startups in Chicago, and we’re currently looking to add a few more extraordinary people to our team.
What is a Sr. Data Scientist at Clearcover?
Clearcover has an enormous range of opportunities around data science and machine learning ranging from marketing and acquisition, fraud detection, customer experience, and claims payment. As a Sr. Data Scientist, you will work closely and independently with our business partners, product teams, data engineers, and machine learning engineers to build and deploy machine learning and AI models to create and deliver real and measurable value for our customers. You will lead, coach, and mentor more junior data scientists while working independently on complex data science problems. We’re looking for someone curious and passionate about data and machine learning and using them to solve real world problems.
What will you do?

Lead, coach, and mentor junior data scientists
Review machine learning models and code
Work with our product managers and business stakeholders to identify and scope the highest value data science problems
Explore and understand our data and how they can feed production-grade machine learning models
Proactively utilize data and business understanding for feature engineering
Build, prototype, and deploy state-of-the-art machine learning models to solve real business problems
Communicate, interpret, and explain modeling output to stakeholders
Measure value of the machine learning models we deploy

What do you need?

3+ years of professional experience working as a data scientist
Experience mentoring, managing, or leading data scientists
Experience reviewing others’ models and code
Expertise in building and deploying machine learning models that have been adopted or implemented, and achieved measurable value
Experience using the Python data science stack; including pandas, scikit-learn, NumPy, XGBoost, notebook environments, etc.
Experience with Python, including object-oriented programming
Knowledge of SQL, including Snowflake or similar systems
Expertise with different types of machine learning techniques
Strong conceptual understanding of machine learning applied to real-world data, including the ability to identify and articulate modeling and data issues
Ability to work in and lead teams
Ability to quickly learn and keep up with the latest ML and AI technology
Ability to effectively communicate technical concepts to non-technical audiences

Nice to Haves?

Experience working in insurance, marketing, or fraud
An advanced degree

But wait, there’s more:As a people-first company, your health and well-being is a priority at Clearcover. While we do offer medical (and cover the vast majority of the premium), dental, vision (and cover 100% of those premiums) and 401K (we contribute 3% even if you contribute nothing), we’ve curated a stack of perks and benefits that stretch beyond the expected. With over half of our employees remote to the Chicago HQ office, we paved the way for flexible work locations and continue to offer this flexibility. Our people also have access to unlimited vacation, monthly mental health workshops, discounted gym memberships, equity in the company and an annual bonus program. Plus, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!Did you know that women and minorities are less likely to apply to a position if they don’t match 100% of the job qualifications? Don’t let that be the reason you miss out on this opportunity! We encourage you to apply anyway. Don’t count yourself out!  Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identity and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.


Senior Data Scientist Optimization

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI.  We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.   As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.Key Responsibilities Design prescriptive type analytical models using python docplex, commercial languages/systems/solvers (OPL, CPLEX, IBM DOC), ad-hoc heuristics or metaheuristics Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Research & design algorithms to solve problems across the organization touching the various parts of the business Implement & coordinate with the development team to translate the model into production code Going beyond established analytical thinking and problem-solving by applying creativity to unconventional concepts and out-of-the-box solutions Lead OR approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts and developers. Create repeatable, interpretable, dynamic and scalable ML/OR models that are seamlessly incorporated into analytic data products. Stay connected with external sources of ideas through conferences and community engagements.  PhD in Mathematics, Statistics, Industrial Engineering, Operations Research or a related field with statistics courses/publications/proven expertise or Master's degree plus 4 years of industry experience Experience in Supply Chain or Retail. Strong mathematical background (linear algebra, calculus, statistics, optimization). Strong coding skills including optimization algorithms Deep understanding of optimization (constrained, convex and non-convex optimization problems, IP and LP, QP, MILP, MINLP, problems and solvers) Being able to translate real world situations into mathematical constraints and objective functions Ability to drive a project and work both independently and in a team Fluent in optimization modules in Python or R. Experience with Gurobi is preferred. Exceptional communication and collaboration skills to understand business partner needs and deliver solution This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.


Staff Data Scientist Applied Science Education

The Opportunity
Our work in education is aimed at ensuring that every student — not just a lucky few — can get an education that’s tailored to their individual needs and supports every aspect of their development. We’re pairing engineering with grantmaking, impact investing, policy, and advocacy work to help every young person enter adulthood with the skills and abilities they need to reach their full potential — and equip every teacher with the tools and research they need to help students get there. An example of the work CZI's education team supports include the Summit Learning Program, a personalized approach to teaching and learning that enhances the quality of student-teacher interactions and empowers educators to tailor instruction to individual student needs.
Our Education Data Science team is responsible for measuring, evaluating and building product and program changes. For example, how teachers can personalize curriculum for student needs, how the product can recommend actions to teachers saving their time and helping project based learning, how professional development can be personalized for teachers etc. This team influences strategies with insights, measures success through experiments, and builds data powered products, as they collaborate and communicate with the cross-functional and leadership teams.We are looking for a Staff Data Scientist with Applied Science focus, who has a passion for building machine-learning solutions, communicating data insights and scientific vision, and executing strategic projects. You'll collaborate closely with your colleagues in Engineering, Product Management, User experience researcher & Product design. This is a role that combines science leadership, organizational ability, technical strength, product focus and business understanding.
You will

Build machine learning models and utilize data analysis to deliver scalable solutions to business problems.
Run A/B experiments, gather data, and perform statistical analysis.
Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production
Deliver effective presentations of findings and recommendations to stakeholders, creating visual displays of quantitative information
Collaborate with cross-functional stakeholders to formulate and complete full cycle analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations

You have

At least 4 years of experience with M.S. or Ph.D. in quantitative field (preferred Statistics, Machine Learning, Computer Science) with a strong Machine Learning background.
Experience in building machine learning models and applying best practices to solve real-world problems with recommendation, personalization and natural language solutions.
Experience with Python, Scala, or C++.
Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audience with varied technical skills.
Experience working cross-functionally with teams of product managers, engineers, designers, researchers and data scientists.

#LI-Remote


Senior Data Scientist

(Local or Remote)

ROLE OVERVIEW
We’re seeking a talented Senior Data Scientist to join our growing team. You’ll play a critical role on our Data Science team and be instrumental in driving long-term growth for the company. The ideal candidate has strong analytical and problem-solving abilities and is excited by the opportunity to navigate large amounts of data to identify patterns, distill insights, and solve complex problems. This is a highly visible role with significant autonomy and the opportunity to work across several teams.
RESPONSIBILITIES

Play an instrumental role across various data-intensive projects. Projects may include marketing propensity models, lead scoring, underwriting automation, fraud detection, pricing optimization, and portfolio risk modeling.
Use Python or R to process and clean terabytes of prospect data, derive insights, and build predictive models.
Evaluate different machine learning algorithms and models to identify optimal methodologies for a given problem.
Work with internal and external stakeholders to lead projects end-to-end, including identifying problem statements, planning the analyses, hypotheses testing, and reporting.
Use SQL/R/Python to collect data, visualize the situation, identify root causes, and generate recommendations.
Design and build informative dashboards on the company’s BI platform.

ABOUT YOU

You have a bachelor’s or a master’s degree from a competitive institution, or equivalent professional experience. A degree in a quantitative field such as science, math, computer science, or engineering is preferred.
You have 6+ years of experience in data science, machine learning, data analytics, or similar role.
You’re skilled in R or Python. You ideally have hands-on experience with SQL, Excel data analyses, and large datasets.
You have expertise with ML techniques such as logistic regression, random forest, XGBoost, etc.
You can research and compare multiple modeling methodologies to identify the best model.
You can identify the right loss functions to use for model evaluation.
You’re familiar with statistical topics including ANOVA, A/B testing, correlation, regression, etc,
You’re able to think creatively and critically. You thrive in a fast-paced, dynamic, and often ambiguous work environment.
You bring strong interpersonal skills and excel in cross-functional team environments.

ABOUT US
Our Product
“Point provides the opportunity to stabilize your financial situation without adding costly monthly payments.” - Homeowner in Burlingame, CA
Here at Point, we’re helping homeowners unlock the equity in their homes without taking on further debt. With an investment from Point, homeowners can de-leverage and diversify their wealth, freeing them up to invest in their business, renovate and maintain their home, eliminate debt, and tackle all of life’s expenses from college tuition to medical bills. Our equity investment product is an advantageous alternative for homeowners and investors alike. When partnering with Point, investors now have access to a brand new asset class - homeowner-occupied residential real estate. Point is the first fintech product that is truly aligned with consumers’ interests - when the homeowner does well, Point and its investors do well.
Our Team
People first
As a consumer fintech company, we embed integrity, transparency, and trust into everything we do at Point, including how we work. Whether you’re a homeowner, investor, employee, or candidate, it’s people who power our business. We keep the human experience top of mind.
Experts at work
We’re on a mission to help the 23 million equity-rich, but cash-constrained Americans tap into their home’s wealth. To do so, we have experience and expertise in all areas of the business, especially at the helm. Point’s leadership have previously founded TrialPay (acquired by Visa), Yub (acquired by Coupons.com), Metails (acquired by Buy.com), SiteAdvisor (acquired by McAfee), Affirm, SendGrid (acquired by Twilio), and TXN (acquired by Envestnet).
Championed by the best
Point announced its $115M Series C led by WestCap in May 2022. To date, we’ve raised over $170M from leading investors including Andreessen Horowitz, Prudential Financial, DAG Ventures, Ribbit Capital, Greylock, and SV Angel.
PERKS AT POINT
Health Insurance
Point provides platinum-rated plans for medical (Anthem Blue Cross or Kaiser Permanente), dental and vision (The Standard). We cover 99% of employee premiums and 75% of dependent premiums.
Generous Vacation
Take time for yourself and your family when you want - Point has an unlimited vacation policy.
Continued Learning
We encourage all team members to attend events hosted by our investors, external workshops and conferences. We believe in continuous improvement and want to support employees on their professional journeys.
Family Friendly
Point will top off California PFL earnings to full salary for up to eight weeks, as well as two weeks of fully paid leave to be available after exhaustion of CA PFL. An employee can take reasonable vacation time in addition to the California PFL leave. For employees outside CA, Point will top of PFL earnings in accordance with the state applicable leave laws.
Work From Home Stipends
With employees working remotely, Point will provide employees a $50 monthly cell phone stipend and a $50 monthly internet stipend. In addition, we will reimburse up to $150 to help you purchase supplies for your home office.


Senior Financial Data Scientist

The Amherst Group of companies comprise of leading real estate investment and advisory firms with a mission to transform the way real estate is owned, financed and managed.  Amherst leverages its proprietary data, analytics, technology, and decades of experience to seek solutions for a fragmented, slow-to-evolve real estate ecosystem and to materially improve the experience for residents, buyers, sellers, communities, and investors.  Today Amherst has over 1000 employees and $14.1 billion in assets under management.Over the past decade, Amherst has scaled its platform to become one of the largest operators of single-family assets and has acquired, renovated, and leased more than 46,000 homes across 32 markets in the U.S.  The firm delivers customized, stabilized cash-flowing portfolios of assets to its investors, wrapped in all the ongoing services required to manage, own, and finance the asset including property management, portfolio management, and a full capital markets team.  In addition to its single-family rental platform, Amherst’s debt business pursues two distinct credit strategies in mortgage-backed securities and commercial real estate lending.  Over its 25-year history, Amherst has developed a deep bench of research and technology talent, and leverages data and analytics at every stage in the asset lifecycle to improve operations and preserve long-term value for our investors and the more than 188,000 residents the firm has served.Amherst Services Corporation seeks Senior Financial Data Scientist to work at its office in Austin, TXJob Description: Develop modern predictive analytics, identify key areas for improvement and optimization to drive insightful business strategies, and improved business performances. Consult with technology department teams to safely deploy the predictive analytics in scalable and controlled environment. Lead the company through modern predictive analytics and identify most impactful areas for research and development in predictive analytics. Apply financial economics and business intelligence tools to address better visualization and transparency of data analytics. Collaborate with data stewards to improve data availability and quality while ensuring compliance with regulatory and security policies.Qualifications: Master’s degree in n Computer Science, Data Science, Financial Engineering, Finance, Mathematics, Statistics, Analytics, foreign equivalent or closely related field.Required skills: Position requires experience in the following specific skills:
Machine Learning and Artificial Intelligence (AI);
Data science toolkit such as SQL or Python (including Pandas, SciPy, Scikit-learn);
Data visualization tools (e.g., Tableau); and
Statistical packages (e.g., SAS).
Employer will accept skills gained in pursuit of graduate-level degree via coursework, projects or internships. Skills may be gained concurrently.Multiple openings.
Our full-time employee benefits include:

A competitive compensation package, annual bonus, 401k match
Flexible PTO including 7 paid holidays, 1 floating holiday, and 1 volunteer day
Employer-paid benefits (medical, dental, vision, health savings account)
Professional career development and reimbursement
Up to 16 weeks paid maternity leave; up to 4 weeks of paid parental leave
Backup childcare offered through Bright Horizons
Relaxed casual environment with virtual office events

Amherst is proud to be an Equal Opportunity Employer and committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity, age, physical or mental disability, genetic information or veteran status, and encourage all applicants to apply.


Financial Data Scientist

Amherst is revolutionizing the way U.S. real estate is priced, managed and financed in order to unlock opportunities for all market participants. Driven by data, analytics, and technology, Amherst has a 20-year history of anticipating where the next risks and opportunities are likely to emerge and designing actionable strategies for investors to capitalize on opportunities across residential real estate, commercial real estate and public securities. Amherst, along with its affiliates and subsidiaries, has more than 900 employees, $5 billion under management and approximately $15 billion under advisement and oversight. www.amherst.com.Responsibilities:
Support modeling analytics team through research and production support
Maintain and enhance analytic applications and data structures used for modeling and forecasting
Create and document technical and user processes
Support modeling analytics team through project initiatives, research, and business objectives
Liaison between the business units, technology teams, and support teams to ensure clear communications among stakeholders
Develops documentation, reports, and project plans and prepares and may present briefings and staff seminars.
Build relationships with development teams, leads, clients, and users
Demonstrate strong intellectual curiosity and is constantly looking to learn new skills
Work with business partners to help identify, analyze and resolve any issues
Be a change agent, ensuring users embrace new and innovative technology
Requirements:
MS or Ph.D. degree in a quantitative field; Economics, Statistics, Mathematics, Physics, Operational Research, etc.
Strong quantitative and analytical problem-solving skills and experience working with large datasets
Knowledge and understanding of econometric and statistical techniques
Must be an intellectually curious self-starter and motivated to continually learn, interested in real estate finance
Proactive, hardworking team player with strong communication skills and business intuitions
 Pluses:
Knowledge in fixed income, real estate or risk analytics
Hands-on experience with SQL & Python
Experience with BI tools such as Tableau

Our full-time employee benefits include:

A competitive compensation package, annual bonus, 401k match
Flexible PTO including 7 paid holidays, 1 floating holiday, and 1 volunteer day
Employer-paid benefits (medical, dental, vision, health savings account)
Professional career development and reimbursement
Up to 16 weeks paid maternity leave; up to 4 weeks of paid parental leave
Backup childcare offered through Bright Horizons
Relaxed casual environment with virtual office events

Amherst is proud to be an Equal Opportunity Employer and committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity, age, physical or mental disability, genetic information or veteran status, and encourage all applicants to apply.