Director/Sr. Director - Data Scientist
Data Scientist job 7 miles from Malden
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At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world.
Come join the rapidly expanding Lilly Genetic Medicines team at Eli Lilly! We are responsible for inventing, characterizing, and advancing novel genome editing reagents for a myriad of clinical applications. Our team works cross-functionally within our organization across multiple disease areas and platforms. Our goal is to deliver on the promise of gene editing to patients around the world.
At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world.
Director/Sr. Director - Data Scientist
Come join the rapidly expanding Lilly Genetic Medicines team at Eli Lilly! We are responsible for inventing, characterizing, and advancing novel genome editing reagents for a myriad of clinical applications. Our team works cross-functionally within our organization across multiple disease areas and platforms. Our goal is to deliver on the promise of gene editing to patients around the world.
Job Responsibilities:
Lead and mentor a team of data scientists to deliver impactful analytics solutions.
Develop and execute the organization's strategic vision for data science and AI, aligning with business goals.
Collaborate with executives and leaders to address key business challenges using data science.
Drive the creation and implementation of advanced machine learning and AI models to solve complex problems.
Ensure best practices in model development, validation, and deployment.
Stay updated on emerging trends and suggest innovative solutions.
Work with data engineering and IT teams to ensure data availability, scalability, and accessibility.
Oversee the optimization of data pipelines and workflows for large-scale analysis.
Integrate data science insights into business processes across various departments.
Provide strategic guidance on data insights to inform business decisions.
Present analytical insights and recommendations to senior executives clearly and concisely.
Lead reporting and performance tracking for data science initiatives, including KPIs and impact assessments.
Hire and manage a growing team to meet program timelines.
Help data scientists communicate complex information to a cross-functional audience.
Basic Qualifications:
PhD with 5+ years of industry experience, or Bachelors and/or Master with 15+ years of related work experience.
Additional Preferences:
Proven track record of successfully leading large-scale data science and AI initiatives across various business functions.
Strong experience with machine learning algorithms, statistical modeling, and predictive analytics.
Deep understanding of data engineering and data infrastructure, with a strong ability to collaborate with technical teams to build scalable solutions.
Expertise in programming languages such as Python, R, SQL, and familiarity with big data technologies like Hadoop, Spark, and cloud platforms (e.g., AWS, GCP, Azure).
Exceptional problem-solving and analytical thinking.
Strong leadership, team-building, and mentoring skills.
Excellent communication skills, with the ability to translate complex technical concepts into clear business strategies.
Strong project management skills, with experience leading cross-functional teams and driving initiatives from concept to execution.
Additional Information:
This role may require up to 10-15% travel for conferences or training and will include the opportunity to mentor and train junior scientists.
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (******************************************************* ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), en Able (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is
$184,500 - $321,200
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
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HEOR Biostatistician
Data Scientist job 4 miles from Malden
Job Title: HEOR Biostatistician
Level: Sr. Manager/Associate Director equivalent
About the Job
Are you ready to shape the future of medicine? The race is on to speed up drug discovery and development to find answers for patients and their families. Your skills could be critical in helping our teams accelerate Progress. Join our Global Health economics and Outcome Research Team as a HEOR Biostatistician and you’ll Serve as Project Lead within Global HEVA and across multiple therapeutic areas to conduct post-hoc analysis of clinical trials in support of market access and reimbursement evidence needs.
In this role, you will be held scientifically accountable at global and local levels for design and timely execution of post-hoc statistical analyses for HTA submissions and pricing/reimbursement negotiations. You will also support countries for local HTA submissions and provide statistical expertise within HEVA that aligns with several stakeholders including Market Access and Pricing, Medical Affairs, Clinical Outcome Assessment teams, Biostatistics, etc.
We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?
Main Responsibilities:
Lead, design, conduct and QC post-hoc statistical analyses required for HTA submissions and pricing/reimbursement negotiations
Global: efficacy in target populations; health-economic modeling (cost-effectiveness); indirect treatment comparisons; post-hoc evidence to support development of Payer Value Story and Objection Handler including analyses to support identification of high burden subgroups with high likelihood of reimbursement
Country: support country specific post-hoc requirements for health-economy modeling, and efficacy in target population and subgroups; work closely with country market access leads in coordination with Global teams; part of HTA Rapid Response team and responsible for ensuring timely completion of any requests from HTA bodies
Present and explain statistical analyses to team members, internal forum, internal managers and/or external authors and experts
Publication activities: Provide consultation, input and guidance to cross-functional groups charged with development and submission of manuscripts, posters, slide presentations and abstracts; work with Publication Leads and team members to respond in a timely manner to journal editor and reviewer comments
Support clinical teams in the analyses of clinical outcome assessments (COAs), in particular patient-reported outcomes (PROs), and Health Economic endpoints for phase 2 to 4 studies, by contributing and/or reviewing protocols, statistical analysis plans, clinical study reports, and submission modules
Psychometric assessment of COAs: Review psychometric analysis plans and reports, and serve as key statistical contact for the vendor in charge of the analyses
About You
Basic Qualifications & Experience
MSc or PhD in Statistics, Biostatistics or related quantitative sciences
Minimum 6 years of experience as a statistician supporting clinical trials, medical affairs, or clinical development, including conducting statistical analyses from phase 3 or phase 4 studies, in an industry setting (ie. pharma, biotech, CRO)
Knowledge and Skills
Thorough and up-to-date knowledge of statistical methods, especially those related to human clinical studies
Thorough and up-to-date working knowledge of SAS with hands-on programming experience. Knowledge of S-PLUS or R is a plus
Working knowledge of SDTM and ADaM data structure and CDISC standards
Working knowledge of regulatory guidelines for drug development, NDA submissions, and statistical practices (ie. CTD guidance, ICH guidelines)
Working knowledge of PROs; experience in psychometric evaluation is a plus
Knowledge of HTA technical guidelines (ie. NICE DSU, IQWiG General Methods) is a plus
Experience publishing results, including writing of abstracts and manuscripts
Ability to manage projects, to quickly accommodate changing priorities and to meet tight deadlines while maintaining high quality standards
Demonstrated leadership, project management, and interpersonal and negotiation skills, with excellent verbal and written communication skills
Collaborative approach; ability to thrive in a fast-paced team environment and to work independently on projects
Ability to explain strategies, approaches, methods, analyses, and findings to non-statisticians; ability to help others interpret results and place in context
Ability to negotiate and advocate with strong methodological arguments with the partners to improve quality of the deliverables and interpretation
Understanding of other functional areas as well as transversal groups and ability to maintain productive inter-function working relationships
Experience working with external service providers
Competencies in written & spoken English
Why Choose Us?
Bring the miracles of science to life alongside a supportive, future-focused team.
Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.
Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.
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All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.
Data Modeler
Data Scientist job 7 miles from Malden
The Role The Data Modeler works closely with business and technical teams to drive the creation of scalable, flexible, well governed, and detailed data design solutions. They drive adoption of enterprise and industry standard modeling methodologies. They partner with project teams to deliver practical & resilient data model designs that meet current business needs and are capable of easily adapting to new needs in the future.
The Expertise and Skills You Bring
Requirements and Analysis
Engage with business and technology partners to understand the business requirements, analyze the data gaps, and recommend appropriate solutions.
Assess objectives, use cases, data requirements and specifications documents created by other analysts.
Analyze and resolve major data issues that arise during the course of projects or in production environments.
Data Design
Define conceptual and logical data models, with strong definitions, to capture organizational data needs across multiple subject areas.
Build physical design for various types of systems such as operational systems, data warehouses, data lakes and others.
Actively perform dedicated and targeted data analysis to identify risks for management. Strong coordination with key business partners will be required to obtain data sets and confirm results of the analysis.
Document database solutions and present solutions to product partners, project teams, Data Engineering team and architecture review boards.
Passionate about technology and delivering solutions in integrated data environments. Current on event driven processing, and Data API developments.
Lead and facilitate work sessions with business functions and projects to define requirements, business term definitions and logical data models
Map Technical terms to Business terms in data catalog tool.
Technical Leadership
Provide strategy, data modeling with accountability on work initiative engagements and timeline. Align and ensure consistency to enterprise standards on technology, tools, and procedures.
Knowledge of and experience with tools, techniques and processes for complex data gathering, analysis and reporting on data for large organizations.
Find opportunities to use enterprise data models for new projects to minimize work and data duplication
Strong interest in playing a technical data steward role and partnering across our business to understand and document our data, appropriate data usages and helping Asset Mgmt. derive the maximum value from its data.
Qualifications
Education and Experience (dependent on level)
A Bachelor's or Master's degree in Computer Science, Information Technology, or equivalent experience
10+ years' experience with data design, analysis, and development. Development experience weighted towards PL/SQL and ETL tools.
Demonstrated experience in the following areas : Database Management Systems, Data API design and implementation, PL/SQL, warehouses, data modeling and data profiling.
Skills and Knowledge
Demonstrable experience with SAP Power Designer or similar data modeling tool required.
Advanced analytical and problem solving skills.
Advanced understanding of the database development process including analysis, design, coding, testing, problem resolution and planning, and full competency in all relevant coding environments, languages, tools, and platforms
Outstanding interpersonal skills and strong verbal and written skills to effectively communicate with technical and non-technical associates in the company
Proven interpersonal skills, including the ability to work across the organization and interact/influence/negotiate optimally at all levels of management and peers.
Experience in working in data management / governance with an understanding on how data is ingested, stored, and maintained.
Understanding of principles and standard methodologies around Data Architecture
Ability to prioritize data analysis initiatives based on business criticality.
Experience in the financial services industry area a plus
Knowledge in cryptocurrency area a plus.
The Team
Asset Management Technology is seeking a Principal level candidate in the data analysis and data modeling organization. The successful candidate will be responsible for leading data modeling and analysis across different projects with diverse scope and complex business and technical requirements in a highly integrated data environment. This role requires working autonomously and under consultative direction for achieving organizational strategic data goals. This is a key role in leading the development of high-quality data model, working as part of a team that helps to deliver data as a key asset for the enterprise. You must be comfortable working in a fast paced and highly ambiguous agile environment where there is a focus on timely delivery of data analysis, data models and other data artifacts.
Data Scientist III
Data Scientist job 7 miles from Malden
Our Opportunity:
Chewy is growing! Are you passionate about harnessing data to drive strategic business decisions? Do you grow with building innovative forecasting models that directly influence a company's bottom line? If so, Chewy is looking for a Data Scientist III with expertise in financial forecasting to join our Merchandising Data Science Team and help shape the future of financial analysis and decision-making within the organization. In this role, you will combine deep understanding of machine learning, advanced data analysis, and statistical testing to predict trends and outcomes. You will work closely with finance, business, and cross functional teams to develop, implement, and refine predictive models that drive strategic decision-making and operational efficiency across the business. Does this sound like you? If so, we would love to hear from you!
What you'll do:
Design, develop, and implement advanced predictive learning models for financial forecasting, including revenue, expenditure, cash flow, and other key financial metrics.
Analyze large financial datasets to identify trends, correlations, and actionable insights that influence financial planning and performance.
Research and implement innovative forecasting algorithms to generate accurate financial forecasts and projections.
Oversee data collection, cleansing, and validation processes to ensure data integrity and reliability.
Work cross-functionally with finance, business, and product teams to understand business requirements and deliver actionable insights that drive financial strategy.
Document code, algorithms, and processes to facilitate knowledge sharing and ensure reproducibility.
Effectively communicate complex technical concepts and insights to both technical and non-technical partners.
What you'll need:
Candidate must possess a Graduate Degree (MS/PhD or equivalent experience) in Data Science, Machine Learning, Statistics, Mathematics, or related field.
Validated experience in developing advanced machine learning models with a focus on financial forecasting, financial modeling, or similar domains.
Strong experience with time series analysis, regression models, and machine learning algorithms for financial predictions.
Expertise in programming languages such as Python.
Advanced proficiency with SQL
Proficiency with version control systems (e.g., Git) and joint coding practices.
Good understanding of cloud platforms such as AWS.
Strong problem-solving skills and the ability to work independently and in a fast-paced environment.
Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical partners.
Ability to travel up to 10% of the time
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact **************.
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Data Scientist III, Customer Technology
Data Scientist job 7 miles from Malden
Wayfair Data Science is the engine that powers an enterprise obsessed with data. The Wayfair websites generate over 100M clicks from the millions of customers that visit our sites every day to discover and purchase home goods. The Customer Tech Data Science team is focused on understanding and optimizing customer behavior as a key enabler for the company to move fast and iterate quickly on big business problems.
The Customer Tech Data Science team aims to unlock & enable high quality Storefront insights and data capabilities at scale, driven by a robust and extensible platform of self-service capabilities across Customer Technology technology resulting in a higher-impact data-driven organization. Our customers are internal Wayfair teams. Specifically all teams and cross-functional partners on Storefront as well as teams who want to use Storefront-produced data to derive insights and take data-driven actions.
As a Data Scientist III for Customer Tech, your goal is to unlock insights and guide the business in the data domain. This includes everything from advising on technical implementation tradeoffs and priorities (e.g. Storefront's near real-time or experimentation data capabilities) to developing broad level strategic direction and vision in our customer data strategy and architecting the future data models to meet our users needs and anticipating impactful use cases. All while maintaining data quality and analytical rigor. To be successful, this role requires a blend of analytical experience, strong technical capability, ability to develop and influence business strategy, and stakeholder management; all applied to drive the quality, impactfulness, and vision of Wayfair's customer data.
What You'll Do
* Define and own the strategic agenda to unlock insights and guide the business
* Run open-ended exploratory data analysis to identify new ideas and opportunities
* Consult on A/B tests of our latest technology being implemented (e.g. decoupled services, enhanced recommendations algorithms, new features) to ensure effective and accurate data capture for experimentation reporting
* Proactively monitor our data models to identify potential issues, determine root causes, and resolve.
* Build new tools that allow us to be more productive and efficient
* Work closely and build productive relationships with our product, engineering and machine learning stakeholders.
* Proactively identify areas where advanced analytical efforts can produce a strong value add and work them into the road map.
* Communicate key insights and recommendations to cross-functional executive leaders across the organization
What You'll Need
* Bachelors in computer science, engineering, math, statistics, economics, or other quantitative discipline; Masters preferred.
* 4+ years work experience in a relevant field (in addition to any graduate education).
* Analytics or Data Science experience with e-commerce companies is a strong plus.
* In-depth experience with SQL (aggregate functions, query optimization, stored procedures, string parsing, Vertica/Hive/Presto/Spark, etc.), required.
* In-depth experience with python & python tools (Jupyter notebooks, functions, pandas, sklearn, matplotlib, etc.), required.
* Experience with experimental design (A/B tests) and statistical analysis to drive business decision making, highly preferred.
* Knowledge and experience using machine learning algorithms/techniques (decision trees, random forest, deep learning, etc.) within a business context, highly preferred.
* Strong written and verbal communication with a team player, highly collaborative attitude.
* Ability to collaborate and proactively communicate with stakeholders.
* Proven track record of taking ownership and driving results. Thrive in a fast-paced environment.
* Strong business acumen, analytical skills, and technical abilities along with problem-solving skills.
* Demonstrated success influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis.
* Prior experience proactively identifying areas where analytical efforts can produce a strong business value add and setting the analytics roadmap.
* Able to manage multiple projects and deliver against aggressive goals.
About Wayfair Inc.
Wayfair is one of the world's largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we're reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you're looking for rapid growth, constant learning, and dynamic challenges, then you'll find that amazing career opportunities are knocking.
No matter who you are, Wayfair is a place you can call home. We're a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair - and world - for all. Every voice, every perspective matters. That's why we're proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.
Your personal data is processed in accordance with our Candidate Privacy Notice (***************************************** If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at *********************************.
Data Scientist/Solution Consultant - US
Data Scientist job 10 miles from Malden
Responsibilities and Role Description * Support the growth of 3DEXPERIENCE NETVIBES solutions to contribute to the revenue objectives in North America. * Demonstrate the value of DS solutions leveraging AI capabilities to our customers and propose strategies to tackle business challenges. * Identify and understand customer's requirements, their impact on their business and translate them into technical solution. * Analyze large amounts of information coming from the customer to find patterns and solutions. Develop prediction systems and machine learning algorithms. Build material to present results and the benefits of the solution back to the customer. * Become a trusted advisor to the GEO Industries and Sales team, supporting them with Brand expertise through all phases of the sales cycle Qualifications *
Minimum experience of 4-5+ years in the field of pre-sales solution consulting * Bachelor's or Master's degree or equivalent in Data Science, Computer Science, engineering or related field. * Education course work including any of the following: Data science and Artificial Intelligence; Machine Learning; Big data management; Engineering statistics. * Proficiency in Python programming. * Strong understanding of data science tools and machine learning frameworks. * Ability to understand client's business requirements / processes and address them through technical demonstrations, evaluations and proof of concepts highlighting product value and differentiation. * Ability to explain complex technical concepts to non-technical stakeholders * Soft skills required include excellent verbal and written communications skills, ability to collaborate with cross functional teams and strong problem-solving ability. * Strong problem-solving and analytical thinking abilities * Knowledge or experience with Product Lifecycle Management (PLM) systems is a plus. * Location - US - flexible * Note: Compensation for the role will be commensurate with experience. The total expected compensation range will be between $160K and $190K, representing the base salary (or annualized salary based on estimated hourly compensation) and target bonus * We do not have a set deadline for applying to this job opportunity as we are accepting applications continuously on an ongoing basis.
Data Scientist, Medicare Analytics
Data Scientist job 7 miles from Malden
Ready to help us transform healthcare? Bring your true colors to blue. What We Need As a core member of the Performance Measurement and Improvement team, the Data Scientist supports analytic activities associated with BCBSMA overall performance on Medicare Stars ratings, with specific focus on CAHPS patient experience component. The position will be responsible for providing analytic support to help identify the most efficient means through which Medicare Stars clinical quality and patient experience performances at BCBSMA can be maintained, and if and where possible improved across these complex global composite metrics. This analytic support will aide in the design of targeted interventions for performance improvement and the periodic projections of the plan's composite metric performance under a variety of future scenarios. This analytic work will be leveraged across the organization to help guide the high-stakes quality and consumer experience improvement activities led by various teams.
Through continued drilldown analyses, monitoring of performance and maintenance of projection models, the Data Scientist will also have responsibilities to maintain, update, and refine our analytic approach as we evaluate the potential impacts key activities might have on the plans overall composite scores.
The successful candidate will have an established track record and experience with using advanced analytic techniques to gain actionable information and insights, and with turning disparate data streams into a cohesive view. Under direction of the Senior Director of Population Health Analytics, the Data Scientist will be able to work with performance measurement and analytics teams, consumer experience unit, marketing, health management, and member services to define business needs in improving consumer experience and care management. She/he will be able to manage multiple tasks and projects simultaneously, establish priorities, and own deliverables end to end. In this role, she/he must be able to timely and clearly communicate issues, ideas and project status both verbally and in written form within and across business teams and key stakeholders.
This role is available for our FLEX persona.
Day-to-Day
* Works as part of cross-functional teams (HMM, PMI, marketing, consumer services, and IT) to quantify key consumer focused business issues and desired business outcomes
* Translates business questions into analytic hypotheses, data needs, and reporting requirements.
* Carries out advance analyses to develop analytic products that serve the business needs
* Develops targeted recommendations to inform effective member and provider outreach strategies to improve health care outcomes and consumer experience among Medicare population
* Generates and tests working hypotheses: aggregate and mine data, conduct analyses, and extract actionable results.
* Develop analytic dashboard to track performance of access to care, clinical quality and consumer experience metrics and to predict the performance trending in Medicare population
* Partners with technical teams to design and improve Medicare data intake and storage infrastructure to enable efficient analytics
* Prepares and presents analysis results to internal decision-makers, often creating informative business metrics to influence decision makers
What We're Looking For
* A deep understanding of business operation, corporate mission, goals, and matrix organizational processes. Willing and able to learn from team members.
* Experience mapping business needs to analytics planning and technical requirements.
* Experience in working with large structured and unstructured data sets
* Demonstrable knowledge of, and practical experience in applying advanced analytics, and methodologies to support business decision making
* Ability to independently execute projects with multiple business stakeholders on firm deadlines
* Ability to identify opportunities to enhance productivity, increase efficiency, simplicity, and add measurable tangible and intangible values.
* Strong teamwork and ability to solve data and analytics problems through communication and collaboration.
* Data analytics experience a must; strong technical skills in programming with SAS, R, Python or other tools.
* Excellent written and verbal communication skills, with the ability to clearly and concisely present issues, analytical planning, and recommendations in verbal, written and presentation formats across all levels of the organization
What You Bring
* Degree in statistics, econometrics, applied math, or a quantitative behavioral sciences and public health field is required. Advanced degree (MA/MS or PhD) is a plus.
* At least 5 years in an applied analytics or quantitative research role
* Experience in applying advanced analytics to improve population health, care management, and consumer experience
* Experience in supporting Medicare market, especially Medicare Stars CAHPS improvement, strongly preferred.
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Minimum Education Requirements:
High school degree or equivalent required unless otherwise noted above
Location
Boston
Time Type
Full time
Salary Range: $116,280.00 - $142,120.00
The job posting range is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, performance, shift, travel requirements, sales or revenue-based metrics, and business or organizational needs and affordability.
This job is also eligible for variable pay.
We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), and a suite of well-being benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.
WHY Blue Cross Blue Shield of MA?
We understand that the confidence gap and imposter syndrome can prevent amazing candidates coming our way, so please don't hesitate to apply. We'd love to hear from you. You might be just what we need for this role or possibly another one at Blue Cross Blue Shield of MA. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be brilliant. We encourage you to bring us your true colors, , your perspectives, and your experiences. It's in our differences that we will remain relentless in our pursuit to transform healthcare for ALL.
As an employer, we are committed to investing in your development and providing the necessary resources to enable your success. Learn how we are dedicated to creating an inclusive and rewarding workplace that promotes excellence and provides opportunities for employees to forge their unique career path by visiting our Company Culture page. If this sounds like something you'd like to be a part of, we'd love to hear from you. You can also join our Talent Community to stay "in the know" on all things Blue.
At Blue Cross Blue Shield of Massachusetts, we believe in wellness and that work/life balance is a key part of associate wellbeing. For more information on how we work and support that work/life balance visit our "How We Work" Page.
Data Scientist Opportunity
Data Scientist job 7 miles from Malden
The Data Science team is responsible for managing all data analytics, reporting and algorithmic aspects for our client. The data science team is an integral part of every function in the life cycle of the company to provide product, tools, business support. As a data scientist you will work closely with architects, engineers, account managers and data scientists within and outside the company. You will be involved from pre-sales to support. You will work on next generation algorithms development and help measure, maintain and upgrade current business.
Qualifications
REQUIRED SKILLS
Outstanding technical abilities with 5+ years of Scala, Java, or C/C++ development experience with statistical machine learning models
Rounded business skills with the ability to understand customer business needs
Ability to solve problems practically for clients and internal needs
Excellent interpersonal skills with ability to communicate clearly and concisely with executives, engineers, account managers, sales, business partners and data scientists.
Ability to respond to customer needs and meet deadlines with accurate work while under pressure
Expected to build statistical, optimization and machine learning models followed by detailed pre-production out of sample validation and recommendation for a/b testing experiments with success criteria.
Own complete life cycle from problem formulation to solution deployment and maintenance
Excellent understanding of computer science fundamentals, data structures, and algorithms
Have a strong mathematical background and have experience with modeling complex high dimensional problems
Experience performing petabyte scale data analysis and developing meaningful visualizations
Must be able to collaborate with architects, engineers, and data scientists within and outside the company.
EXPERIENCE
Proven to thrive in start up environments
Experience defining and building web scale algorithms, reports and visualizations
Must be organized, have an eye for detail, and be able to put ideas into a tangible form
Ability to prioritize and manage work to critical project timelines in a fast-paced environment and the ability to develop new approaches to complex design problems
Experience with developing production grade algorithms for the web scale
Preferred - Ph.D. in Computer Science, Operations Research, Physics, Electrical Engineering, Mathematics or other quantitative fields.
Experience with Spark, Kaplan, Breeze, map/reduce models a plus
Experience modeling stochastic processes, Bayesian learning models, utility theory, game theory a plus
Additional Information
All your information will be kept confidential according to EEO guidelines.
Data Scientist
Data Scientist job 7 miles from Malden
Duration: 12++ Months · Someone with both statistical modeling experience and technical, engineering skills · Experienced in Healthcare, and decidedly “hands-on” and not just theoretical.
· Experience or proficiency using statistical modeling tools (e.g. R, Matlab, AML etc.)
· Bring not just an analytics-orientation, but the ability to use analytics to drive key success metrics.
Experience, Position Requirements, Responsibilities:
· Proven mastery of analysis and development of models in the Healthcare industry
· Relevant degree or deep experience in data analysis or Computer Science
· Minimum five to seven years professional experience
Personal Attributes and Characteristics:
· Flexible and resourceful, with a figure-it-out-and-get-it-done mentality; not afraid to make mistakes quickly and course-correct
· Exemplary written and oral skills. Comfortable presenting at the CxO level.
***The key is just Healthcare industry as a Data Scientist doing Statistical modeling
Qualifications
BS Degree
Additional Information
All your information will be kept confidential according to EEO guidelines.
Lead Data Scientist
Data Scientist job 7 miles from Malden
We are a uniquely designed talent agency focusing on the technology sector in the Boston, MA area. Our solution is built for engineers tired of the traditional recruiting experience looking for an Agent to represent them in their current search and/or throughout their career.
They search keywords. We know key people.
Job Description
We are working with a brand new travel startup a short walk from South Station to hire a Lead Data Scientist. Founded by travel industry veterans (KAYAK) they are creating a brand new platform to simplify and improve the travel booking experience.
If you've traveled recently you must have noticed that regardless of the site you visit you find yourself entering the same information over and over again? This is the tedious experience most modern booking sites provide and they are going to fix it.
The Lead Data Scientist will be responsible for real world implementations of Data Mining solutions able to discover patterns in large data sets at the intersection of artificial intelligence, machine learning, statistics, and database systems. Machine Learning methods for solutions in the area of Natural Language Processing (NLP) is a vital aspect of their success and they need someone capable of leading this charge.
The client offers 100% paid medical and dental insurance for both individuals and families. They provide a PPO plan as well so there is no need for referrals to any specialists. They also have a 401k match, give you the ability to choose your equipment (including iPhone 6S and an Apple Watch), and an unlimited vacation policy where you are actually encouraged to get away when needed.
For Engineers interested who have no desire to commute into and out of Boston daily, we do also have an office in Westford and you will be able to work from that space 2-3 days/week.
To be considered please submit your resume and why you think you are the right person to tackle this challenge along with any other experience (Kaggle competitions, etc) you feel relevant.
Qualifications
Experience needed:
5+ years of “Data Science” experience (Analytics, Data Storage/Management) outside of research only environments
3+ years of experience with Python and/or R
Experience extracting data from databases, writing scripts to parse, clean, combine, and process that data
Past experience using predictive analytics, behavior modeling, and machine learning methods to create new products or drive business decisions
About you:
Startup experience
A desire to be involved in key company decisions in anything tech related
The chops to take on major industry players as part of a small, passionate team
Additional Information
All your information will be kept confidential according to EEO guidelines.
Pharmaceutical Data Scientist
Data Scientist job 7 miles from Malden
Pharmaceutical Data Scientist needs basic industry-relevant scientific knowledge; should have at least a B.Sc in a scientific discipline related to the pharmaceutical industry (Biology, Chemistry, Pharmacology, Biochemistry, etc)
Pharmaceutical Data Scientist requires:
Basic industry-relevant scientific knowledge; should have at least a B.Sc in a scientific discipline related to the pharmaceutical industry (Biology, Chemistry, Pharmacology, Biochemistry, etc)
Ability to multitask efficiently, prioritize quickly, and manage time effectively
Database and computer skills; talent for analyzing and visualizing complex data
Advanced proficiency with Microsoft Excel
Pharmaceutical Data Scientist duties:
Record and maintain relevant information detailing new scientific innovations into internal caseload management information systems
Assist team members with basic legal requests (e.g. non-disclosure agreements, material transfer agreements, fee-for-service agreements)
Utilize internal databases to provide clear reports and information, updated on a regular basis, to monitor activity, support innovation sourcing partnerships, progress against objectives and drive decisions on new scientific areas and strategies
Data Scientist
Data Scientist job 4 miles from Malden
Please, review and apply for this position through the QCI system following the link below (Copy and Paste): http://bit.ly/1C0AbCD *You can apply through Indeed using mobile devices with this link. Job Description No Sponsorship/Visa's
Our established client is looking for a Data Scientist to join their Data/Analytics team. Please come with passion working on data parsing, analyzing, investigating, interpreting, modeling, and extracting knowledge from large volumes of data. You enjoy processing data to help drive better business decisions in a fast-paced environment. Preference will be given to previous experience with online marketing campaigns or a strong motivation to gain knowledge in the field.
Responsibilities of the Data Scientist:
Extract data from databases, write scripts to parse, clean, combine, and process them
Work with an extensive online marketing SQL database and prepare reports to drive actionable optimization decisions
Develop a tailored global bidding strategy for online marketing campaigns
Collaborate with external providers (e.g. Google, Kenshoo) and incorporate their solutions for bidding and reporting
Prepare graphs or visualizations of processed data, identify trends, anomalies
Investigate data problems, identify patterns
Draw inferences and conclusions, communicate results through reports, charts, or tables
Requirement of the Data Scientist:
Computer Science, Electrical Engineering, or Mathematics degree. Masters or PhD a plus
SQL and database experience is a must, with Hive/Hadoop preferred
Solid programming skills with at least one high-level language such as Python, Java, Perl, or C/C++
Good knowledge of data structures, algorithms, and statistics
Basic knowledge of Unix shell scripting
Knowledge of Adwords (or other online marketing tools) a plus
Knowledge of Machine Learning would be a plus
Additional Information
All your information will be kept confidential according to EEO guidelines.
Please, review and apply for this position through the QCI system following the link below (Copy and Paste):
http://bit.ly/1C0AbCD
*You can apply through Indeed using mobile devices with this link.
Data Scientist III
Data Scientist job 7 miles from Malden
The Marcus Institute for Aging Research seeks a Biomedical researcher with expertise in applying statistical and quantitative modeling approaches and with experience in genetics/genomics ('omics') data applications. Manages, cleans, manipulates, and analyzes omics data (genomics, epigenomics, gene expression, proteomics, metabolomics and microbiome) in the service of the advancement of research conducted on multiple complex phenotypes. Designs, implements, and maintains reusable bioinformatics analysis pipelines for processing omics data and integrates computational methods/pipelines within high performance computing clusters. Experience with cloud-computing is ideal. Constructs visualizations to depict associations, conducts exploratory data analyses, and develops reports and summaries to communicate results to colleagues. Works within a biomedical research team to facilitate the production of scientific work product (e.g. design and execution of studies or experiments, as well as publication and dissemination of findings). Develops and applies algorithms for summary and analysis of a variety of omics data. Conducts statistical analysis for assessment of association and in service of causal inference. Participates in customizing software to facilitate analysis of omics research data. Provides data analytic support to ongoing studies requiring analyses of secondary data structures ranging from modest to very large size. Supports the development of funding applications and provides on-demand assistance with data analysis and interpretation. Participates in education and peer mentoring of clinical colleagues.
Responsibilities:
* Provide data management, manipulation, cleaning, and analysis support for omics research projects.
* Develop and present reports of analytic findings to internal and external investigators and teams.
* Present work to internal and external parties.
* Prepare tabular, graphical, and narrative summaries of findings suitable for publication.
* Support the development of abstracts, manuscripts, and funding applications under the direction of the Investigators.
* Implement cutting-edge and newly developed algorithms and software tools for analyzing multidimensional omics data, either independently or as part of a team, within a reproducible research environment.
* Building analysis workflows/pipelines and automated functions for repetitive summaries and analyses.
* Maintain and manage coding libraries and team resources in line with advanced standards.
* Provide expertise in statistical analysis and bioinformatics function on small to intermediate-scale projects.
* Present technical aspects of development to the research team.
* Participate in the development of funding applications to drive future work.
Required Qualifications:
* Requires a Master's degree in a quantitative biomedical science field such as bioinformatics; biostatistics; quantitative epidemiology; statistical genetics; or systems biology - data science - and 2-4 years' experience as a professional quantitative scientist. Experience equivalent to academic training may be substituted in relevant cases. Additional experience relevant to specific projects may be required.
* Advanced knowledge of and post-academic experience with statistical and quantitative modeling (regression / GLM / GAM, simulation, cluster analysis, neural networks, decision trees, bagging, boosting etc.). Advanced knowledge and post academic experience with the conduct of genome wide and epigenome wide association analyses, proteomic and metabolomic analyses, and ability to apply genomic annotation to findings using UCSC browser, GTEx, ROADMAP, ENCODE or similar supporting databases. Expert facility with more than one quantitative programming languages (R/Python/SAS/Matlab), and reasonable competence in others is required. Experience with web services and distributed computing tools is preferred. Experience using high performance computing systems running LINUX or UNIX OS and experience with Cloud-computing platforms such as Amazon Web Services (AWS) or Google Cloud are preferred. The ability to mentor students, junior colleagues, and clinical scientists in quantitative methods is desirable.
* The ability to independently acquire new knowledge and skills to be able to perform analytical tasks using newly developed statistical methods/tools is of utmost importance. A passion for work in biomedical science and experience in omics research is required. Applicants should have the ability to work simultaneously on multiple projects with strict attention to detail, ability to work independently as well as part of a team, as well as excellent oral and/or written English language skills.
Remote Type
On-site
Hebrew SeniorLife is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Staff Applied Data Scientist (PhD)
Data Scientist job 7 miles from Malden
Job Description
🚗 Why us?
Innovation: Jerry is disrupting the car industry. With our super app, we are ushering in a new era for 300M drivers in the US and radically improving the consumer automotive experience.
Impactful Projects: Architect complex deep learning models with massive real-world applications.
Startup Energy: Move quickly, test, iterate and own projects end-to-end in an environment where your ideas matter and your impact is felt from day one.
Brilliant Teammates: Work with extremely talented and passionate engineers, data scientists, and analysts from companies like NVIDIA, Tencent, Alibaba, ByteDance, etc.
💻 About the opportunity
We are looking for a Staff Applied Data Scientist (PhD) who is energized by working with a high caliber team and making a material difference in the lives of millions to join us! Reporting directly to our cofounder/CTO, you will architect and deploy advanced ML models with massive real-world applications (e.g. model & predict user behavior, leverage LLMs and custom-built components to optimize our chatbot & voicebot, etc). Come play a key role in helping us grow from 5M to 50M customers and become a $10B company in the next 4 years!
🫵 How you will make an impact
Develop and architect advanced machine learning models to address critical business challenges and drive company-wide strategic initiatives
Take ownership of the end-to-end modeling process, from initial ideation to model deployment and maintenance
Conduct thorough data preparation and analysis to ensure the quality and relevance of input data for modeling tasks
Collaborate closely with cross-functional teams, including Product and Data Engineering to productize and deploy models into production systems
Contribute to large-scale company initiatives aimed at solving problems that haven’t yet been touched by anyone at Jerry
🚀 Requirements
PhD in Physics or related field
5+ years of experience building and deploying models from scratch.
Deep understanding of machine learning algorithms and techniques, with experience in building and deploying models from scratch.
Strong analytical and problem-solving skills, with the ability to translate complex business requirements into practical modeling solutions.
Passion for real-world application of machine learning, with a desire to make a significant impact on large-scale business initiatives.
While we appreciate your interest and application, only applicants under consideration will be contacted.
Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws.
Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at
*******************
About Jerry.ai:
Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets.
Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all.
We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started.
Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.
Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.
Senior Data Scientist (Insights)
Data Scientist job 7 miles from Malden
WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance and healthspan. WHOOP empowers its members to improve their health and perform at a higher level through a deeper understanding of their bodies and daily lives.
As a Senior Data Scientist, you'll lead development of technology at the core of the business. You'll create, improve, and maintain algorithms that uncover meaningful insights using WHOOP data, including wearable metrics, survey responses, and ground-truth data. As part of our production data science team, you'll work with MLOps engineers to create and maintain robust services to host the insights services. You'll partner with the product team to conduct research and identify new opportunities where we can leverage our large datasets to surface novel insights.RESPONSIBILITIES:
Build statistical models using techniques such as causal modeling and mediation analysis to provide members with insights about how their behavior affects their WHOOP metrics
Work with Data Engineers to improve data pipelining, tooling for machine learning, and systems for quality and validation
Work with MLOps Engineers to build robust, scalable, and efficient machine learning pipelines for deployment and continuous improvement
Conduct research on the use of wearable sensors to analyze primary and secondary end-points derived from metrics and the implications of this analysis on overall health of the user
Design data collection studies to improve inference of health insights and demonstrate the efficacy of WHOOP coaching in improving member health
Periodically serve as the on-call data scientist to respond in real time to incidents affecting production services
QUALIFICATIONS:
Bachelor's Degree in Statistics, Data Science, Applied Mathematics, Computer Science or a related field (Master's preferred)
5+ years of full-time professional experience in a related area
5+ years experience applying advanced machine learning and statistical techniques
Significant experience working with time series data, causal modeling, probabilistic methods
Proficiency in scientific Python and SQL
Experience deploying services and maintaining live code through logging and monitoring within a production environment
Excellent verbal and written communication skills
Preferred Qualifications: Experience in software engineering, including the development, deployment, and maintenance of production-quality software.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Data Scientist, Operations Research
Data Scientist job 7 miles from Malden
**_What Data Science contributes to Cardinal Health_** The Data and Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems.
**_Department/Team Overview_**
We are looking for a Data Scientist, Operations Research Analyst to join our Decision Science Solutions (DS2) team. Our mission is to improve our pharmaceutical supply chain's performance to better service our pharmacy customers, so that they can focus on their patients. The DS2 team consists of Supply Chain Data Scientists, Operations Research Analysts, Data Analysts, and Data Engineers. We work cross-functionally to solve problems leveraging a variety of skillsets and perspectives to achieve the best outcomes. We perform analyses, recommend solutions, and build products to enable better decision making in the following areas:
+ Distribution center network design and capacity planning
+ Facility layout and design; warehouse capacity and utilization
+ Warehouse process improvement
+ Labor management and automation
+ Inventory management: stocking strategies and replenishment policies
+ Transportation planning: first mile, middle mile, and final mile
+ Sales and operations planning (resource management in response to demand changes)
**_Responsibilities_**
As a Data Scientist in Supply Chain Operations, you will apply your knowledge of business processes, systems, data, and analytical tools to explore and identify root causes of problems. You will forecast future demand, build optimization and simulation models, and communicate actionable insights. You will work with cross-functional project teams to ideate, develop, and recommend solutions. Specific responsibilities are to:
+ Listen to clients and ask questions to clearly define business problems.
+ Perform exploratory analysis to determine root causes of problems and confirm/disprove hypotheses.
+ Develop predictive models to forecast future volumes that will drive capacity/resource needs.
+ Develop customer and product segmentation models and design our supply chain to support differentiated services.
+ Build optimization and simulation models to recommend capacity investments, resource plans, policy changes, and process changes to improve supply chain performance.
+ Develop prescriptive models using 3rd party optimization/simulation software and custom-build models.
+ Recommend solutions. Summarize the financial and operational impact of the recommendation and pros/cons of alternatives considered.
+ Work with Data Engineers to create data models for analyses.
**_Qualifications_**
+ 2-4 years of experience, preferred
+ Bachelor's degree in a quantitative field, or equivalent work experience, preferred
+ MS/MBA with focus in Data Science, Operations Research, Industrial Engineering, or Statistics preferred
+ Demonstrated ability to apply Data Science and Operations Research techniques to logistics and supply chain management problems preferred
+ Experience with Structured Query Language (SQL) and working with databases preferred
+ Experience with data analysis tools such as R, Python, SQL, Alteryx, Tableau, and SAS preferred
+ Experience with Strategic Network Design, Simulation (e.g., AnyLogic), or Mathematical Programming (e.g., CPLEX) software preferred
+ Proven ability to work as part of a team as the key analytical resource
+ Excellent communication skills with an ability to explain quantitative analysis in simple business terms
+ Intellectual curiosity, humility, genuine respect and desire to help others
+ Bias for action and passion for driving change
+ Ability to travel up to 5%
**_What is expected of you and others at this level_**
+ Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
+ May contribute to the development of policies and procedures
+ Works on complex projects of large scope
+ Develops technical solutions to a wide range of difficult problems
+ Solutions are innovative and consistent with organization objectives
+ Completes work; independently receives general guidance on new projects
+ Work reviewed for purpose of meeting objectives
+ May act as a mentor to less experienced colleagues
**Anticipated salary range:** $93,500 - $133,600
**Bonus eligible:** No
**Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
+ Medical, dental and vision coverage
+ Paid time off plan
+ Health savings account (HSA)
+ 401k savings plan
+ Access to wages before pay day with my FlexPay
+ Flexible spending accounts (FSAs)
+ Short- and long-term disability coverage
+ Work-Life resources
+ Paid parental leave
+ Healthy lifestyle programs
**Application window anticipated to close:** 7/1/2025 *if interested in opportunity, please submit application as soon as possible.
The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity.
_Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._
_Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._
_To read and review this privacy notice click_ here (***************************************************************************************************************************
Principal Data Scientist - Embedded Finance
Data Scientist job 7 miles from Malden
Toast is looking to expand the Data Science team to deliver new Data Science models to meet Toast Capital/Lending increased demands. As a Principal Data Scientist, you will bring senior data science technical leadership with domain expertise in lending to the Capital Data Science team. An ideal candidate has wealth of experience in banking lending technology or a leading fintech company with substantial depth of expertise and knowledge in lending underwriting, and risk management models.
About this
roll
* (Responsibilities)
Lead the development and implementation of advanced predictive models, to assess credit risk, optimize lending growth, and improve overall portfolio performance.
Collaborate closely with cross-functional teams, including Risk Management, Product, Engineering, and Business Strategy, to identify opportunities for leveraging data-driven insights to support growth and risk mitigation initiatives.
Design, develop, and maintain innovative credit risk and lending growth strategies that align with the organization's objectives, while ensuring compliance with regulatory requirements and industry best practices.
Monitor and analyze the performance of existing models and strategies, identifying areas for improvement and implementing data-driven refinements as needed.
Present complex data-driven insights and recommendations to stakeholders in a clear, concise, and actionable manner, while fostering a data-driven culture within the organization.
Mentor and guide junior data scientists, fostering a collaborative environment and promoting the growth and development of the data science team.
Stay current with the latest trends and developments in data science, fintech, and credit risk management, continually exploring new methods and technologies to enhance the organization's capabilities.
Do you have the right
ingredients*
? (Requirements)
Ph.D. or Master's degree in quantitative field such as Data Science, Statistics, Mathematics, Financial Engineering or related discipline
7+ years of experience in data science, with a strong track record in credit risk modeling and lending growth strategies within the fintech lending space.
Expertise in machine learning, AI, and statistical modeling techniques, with a strong track record of developing and deploying successful data science models in a business setting.
Strong proficiency in Python and SQL and experience with data science libraries and tools such as: Spark, Scala, scikit-learn, Tensorflow, PyTorch, XGBoost etc.
Familiarity with standard software engineering practices and tools including object-oriented programming, test-driven development, CI/CD, git, task orchestration (Airflow) and AWS tooling
Strong understanding of credit risk management, lending practices, and regulatory requirements within the financial industry.
Excellent communication and storytelling skills, with the ability to articulate complex data-driven insights to influence executive stakeholders.
Strong leadership skills, with experience mentoring and guiding junior data scientists
Bonus
ingredients*
:
Passion for research and curiosity that calls you to go beyond “good enough” to create something innovative and exciting
Self starter who loves to dig into different kinds of data to solve business problems and can communicate their findings to cross-functional stakeholders
Our
Spread*
of Total Rewards
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters' changing needs. Learn more about our benefits at ********************************************
*Bread puns encouraged but not required
#LI-REMOTE
The base salary range for this role is listed below. The starting salary will be determined based on skills and experience. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions, if eligible), benefits, and equity (if eligible).
Pay Range$169,000-$270,000 USD
Diversity, Equity, and Inclusion is Baked into our Recipe for Success
At Toast, our employees are our secret ingredient-when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.
We Thrive Together
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: *********************************************
Apply today!
Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.
------
For roles in the United States, It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Data Scientist III, Customer Technology
Data Scientist job 7 miles from Malden
Wayfair Data Science is the engine that powers an enterprise obsessed with data. The Wayfair websites generate over 100M clicks from the millions of customers that visit our sites every day to discover and purchase home goods. The Customer Tech Data Science team is focused on understanding and optimizing customer behavior as a key enabler for the company to move fast and iterate quickly on big business problems.
The Customer Tech Data Science team aims to unlock & enable high quality Storefront insights and data capabilities at scale, driven by a robust and extensible platform of self-service capabilities across Customer Technology technology resulting in a higher-impact data-driven organization. Our customers are internal Wayfair teams. Specifically all teams and cross-functional partners on Storefront as well as teams who want to use Storefront-produced data to derive insights and take data-driven actions.
As a Data Scientist III for Customer Tech, your goal is to unlock insights and guide the business in the data domain. This includes everything from advising on technical implementation tradeoffs and priorities (e.g. Storefront's near real-time or experimentation data capabilities) to developing broad level strategic direction and vision in our customer data strategy and architecting the future data models to meet our users needs and anticipating impactful use cases. All while maintaining data quality and analytical rigor. To be successful, this role requires a blend of analytical experience, strong technical capability, ability to develop and influence business strategy, and stakeholder management; all applied to drive the quality, impactfulness, and vision of Wayfair's customer data.
What You'll Do
Define and own the strategic agenda to unlock insights and guide the business
Run open-ended exploratory data analysis to identify new ideas and opportunities
Consult on A/B tests of our latest technology being implemented (e.g. decoupled services, enhanced recommendations algorithms, new features) to ensure effective and accurate data capture for experimentation reporting
Proactively monitor our data models to identify potential issues, determine root causes, and resolve.
Build new tools that allow us to be more productive and efficient
Work closely and build productive relationships with our product, engineering and machine learning stakeholders.
Proactively identify areas where advanced analytical efforts can produce a strong value add and work them into the road map.
Communicate key insights and recommendations to cross-functional executive leaders across the organization
What You'll Need
Bachelors in computer science, engineering, math, statistics, economics, or other quantitative discipline; Masters preferred.
4+ years work experience in a relevant field (in addition to any graduate education).
Analytics or Data Science experience with e-commerce companies is a strong plus.
In-depth experience with SQL (aggregate functions, query optimization, stored procedures, string parsing, Vertica/Hive/Presto/Spark, etc.), required.
In-depth experience with python & python tools (Jupyter notebooks, functions, pandas, sklearn, matplotlib, etc.), required.
Experience with experimental design (A/B tests) and statistical analysis to drive business decision making, highly preferred.
Knowledge and experience using machine learning algorithms/techniques (decision trees, random forest, deep learning, etc.) within a business context, highly preferred.
Strong written and verbal communication with a team player, highly collaborative attitude.
Ability to collaborate and proactively communicate with stakeholders.
Proven track record of taking ownership and driving results. Thrive in a fast-paced environment.
Strong business acumen, analytical skills, and technical abilities along with problem-solving skills.
Demonstrated success influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis.
Prior experience proactively identifying areas where analytical efforts can produce a strong business value add and setting the analytics roadmap.
Able to manage multiple projects and deliver against aggressive goals.
About Wayfair Inc.
Wayfair is one of the world's largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we're reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you're looking for rapid growth, constant learning, and dynamic challenges, then you'll find that amazing career opportunities are knocking.
No matter who you are, Wayfair is a place you can call home. We're a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair - and world - for all. Every voice, every perspective matters. That's why we're proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.
Your personal data is processed in accordance with our Candidate Privacy Notice (***************************************** If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at *********************************.
Data Scientist
Data Scientist job 7 miles from Malden
Job Description
You could be a data scientist anywhere. Why us?
Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $2T market size)
Partner with our VP of Data Science & Analytics, Armando La Rocca (ex-BCG, Better)
Disrupt a massive market and take us to a $10B business in the next few years
Be immersed in a talent-dense environment and greatly accelerate your career growth
About the opportunity:
Jerry is looking for a Data scientist to join our growing team! We hit a huge milestone in early 2024 by achieving profitability and have ambitious goals for the next few years — scale from 5M to 50M customers and become a $10B business. As a data scientist, you will play a key role in championing data-driven decisions across the company’s most critical business initiatives (including carrier growth and development, building new products from 0-1, etc.). As part of the data science & analytics team, you will leverage advanced machine learning models to conduct in-depth analyses and extract insights that will shape our growth strategies.
Jerry is building the first super app to make car ownership affordable and accessible – insurance, buy/sell, registration, loans, safety, repairs, parking, etc – a $2T market in the U.S. We started with insurance in 2019, and since then we’ve launched loan refinancing, driving insights, repair marketplace, car diagnostics, and a GenAI-powered chatbot & voicebot. We have amassed over 5M customers, raised $240MM in funding, scaled our revenue 60X and our team to 225 across 6 countries.
Here's what an ex-BCG teammate has to say about joining Jerry:
"The biggest difference between my current role at Jerry and my past life at BCG is being able to feel the direct impact my work has on the business, every day. In consulting, I rarely felt like my work was having any impact on the world, despite advising the largest global corporations. Here, I can see that my work is moving the needle on key company metrics in a matter of weeks. When I say "key," I mean it: I am not talking about secondary KPIs that no one pays attention to, but business-critical metrics that the CEO and the rest of the C-suite look at on a daily basis (think sales, retention, pricing, etc).
The benefit of being a digital-first company is that we are sitting on a treasure trove of data. This means we almost never have to make a decision that's not backed by a robust, statistically significant analysis. While data science can be a support function in some other places (this was something I wanted to avoid), data scientists at Jerry are at the core of the business.
I have also appreciated the professional growth opportunities. I have had flexibility to work on the skills I wanted to develop, be it technical or soft skills. I have found continuous learning to be one of my most important drivers of happiness at work. Getting the space and latitude to work on projects that I am most interested in was all the more important for this reason."
How you will make an impact:
Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies
Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies
Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth
Identify opportunities to automate manual processes and optimize operational efficiency
Preferred experience:
Bachelor’s degree in a quantitatively or intellectually rigorous discipline
1-3 years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in data science/business analysis
High level of comfort with SQL or Python
Who you are:
You have a framework for problem solving and live by first principles
You are comfortable communicating with audiences varying from front-line employees to the company’s C-suite
You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence
While we appreciate your interest and application, only applicants under consideration will be contacted.
Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws.
Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at
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About Jerry.ai:
Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets.
Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all.
We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started.
Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.
Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.
Data Scientist, Operations Research
Data Scientist job 46 miles from Malden
**_What Data Science contributes to Cardinal Health_** The Data and Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems.
**_Department/Team Overview_**
We are looking for a Data Scientist, Operations Research Analyst to join our Decision Science Solutions (DS2) team. Our mission is to improve our pharmaceutical supply chain's performance to better service our pharmacy customers, so that they can focus on their patients. The DS2 team consists of Supply Chain Data Scientists, Operations Research Analysts, Data Analysts, and Data Engineers. We work cross-functionally to solve problems leveraging a variety of skillsets and perspectives to achieve the best outcomes. We perform analyses, recommend solutions, and build products to enable better decision making in the following areas:
+ Distribution center network design and capacity planning
+ Facility layout and design; warehouse capacity and utilization
+ Warehouse process improvement
+ Labor management and automation
+ Inventory management: stocking strategies and replenishment policies
+ Transportation planning: first mile, middle mile, and final mile
+ Sales and operations planning (resource management in response to demand changes)
**_Responsibilities_**
As a Data Scientist in Supply Chain Operations, you will apply your knowledge of business processes, systems, data, and analytical tools to explore and identify root causes of problems. You will forecast future demand, build optimization and simulation models, and communicate actionable insights. You will work with cross-functional project teams to ideate, develop, and recommend solutions. Specific responsibilities are to:
+ Listen to clients and ask questions to clearly define business problems.
+ Perform exploratory analysis to determine root causes of problems and confirm/disprove hypotheses.
+ Develop predictive models to forecast future volumes that will drive capacity/resource needs.
+ Develop customer and product segmentation models and design our supply chain to support differentiated services.
+ Build optimization and simulation models to recommend capacity investments, resource plans, policy changes, and process changes to improve supply chain performance.
+ Develop prescriptive models using 3rd party optimization/simulation software and custom-build models.
+ Recommend solutions. Summarize the financial and operational impact of the recommendation and pros/cons of alternatives considered.
+ Work with Data Engineers to create data models for analyses.
**_Qualifications_**
+ 2-4 years of experience, preferred
+ Bachelor's degree in a quantitative field, or equivalent work experience, preferred
+ MS/MBA with focus in Data Science, Operations Research, Industrial Engineering, or Statistics preferred
+ Demonstrated ability to apply Data Science and Operations Research techniques to logistics and supply chain management problems preferred
+ Experience with Structured Query Language (SQL) and working with databases preferred
+ Experience with data analysis tools such as R, Python, SQL, Alteryx, Tableau, and SAS preferred
+ Experience with Strategic Network Design, Simulation (e.g., AnyLogic), or Mathematical Programming (e.g., CPLEX) software preferred
+ Proven ability to work as part of a team as the key analytical resource
+ Excellent communication skills with an ability to explain quantitative analysis in simple business terms
+ Intellectual curiosity, humility, genuine respect and desire to help others
+ Bias for action and passion for driving change
+ Ability to travel up to 5%
**_What is expected of you and others at this level_**
+ Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
+ May contribute to the development of policies and procedures
+ Works on complex projects of large scope
+ Develops technical solutions to a wide range of difficult problems
+ Solutions are innovative and consistent with organization objectives
+ Completes work; independently receives general guidance on new projects
+ Work reviewed for purpose of meeting objectives
+ May act as a mentor to less experienced colleagues
**Anticipated salary range:** $93,500 - $133,600
**Bonus eligible:** No
**Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
+ Medical, dental and vision coverage
+ Paid time off plan
+ Health savings account (HSA)
+ 401k savings plan
+ Access to wages before pay day with my FlexPay
+ Flexible spending accounts (FSAs)
+ Short- and long-term disability coverage
+ Work-Life resources
+ Paid parental leave
+ Healthy lifestyle programs
**Application window anticipated to close:** 7/1/2025 *if interested in opportunity, please submit application as soon as possible.
The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity.
_Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._
_Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._
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