99 Data Leadership jobs in Billerica
Data Management Lead II
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Job Description
Bring your Data Management expertise to Parexel's Strategic Partnerships. Although we work globally, each partnership we form is deeply personal. We are as dedicated to every aspect of our client's product development as they are - and work closely with client teams in true partnership to understand both challenges and opportunities. At Parexel we are focused on meeting customer and patient needs through collaborative partnership so that we get treatments into the hands of patients who need them most.
As a Data Management Lead you will have the opportunity to:
- Use your leadership skills to drive decision-making
- Be a part of a team that empowers you to focus on client relationships
- Attend Bid-Defense Meetings virtually and/or in person where you can meet your clients face-to-face
- Develop strong relationships with a specific client
- Make an impact on patient data in a range of therapeutic areas
- Grow your expertise through access to ongoing training and development opportunities
- Experience work/life balance and flexibility through a home-based position
Required Experience:
- At least 5 years of industry experience
- Proven record of leading project and program teams in a technical/programming or data processing environment
- Robust knowledge of ICH-GCP Guidelines, local regulatory requirements
- Ability to work effectively with and motivate virtual teams
- Strong ability to manage multiple and varied tasks with enthusiasm and prioritize workload with attention to detail
- Strong communication skills and a customer service focus
#LI-REMOTE
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Data Science
Posted 4 days ago
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Data Analyst Role at ROBOTICS TECHNOLOGIES LLC Join a data-driven organization focused on data analysis, profiling, and visualization. Analyze critical data to generate insights Hands-on experience with R and Python Proficiency in visualization tools like Tableau Identify data patterns and provide actionable insights Develop and implement statistical models for data analysis Experience in marketing and customer analytics Understanding of various data domains within the retail industry Ability to comprehend business processes and communicate effectively with stakeholders ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer committed to diversity and inclusion, including female, minority, disability, and veteran candidates. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, or immigration status. #J-18808-Ljbffr
Analyst, Data Science
Posted 2 days ago
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Job Description
The creative problem-solvers in Liberty Mutual's Insights & Solutions group harness the power of data, analytics and technology to develop innovative solutions that drive our US Retail Markets business forward and support a high-performing culture. This group brings together highly talented thinkers and doers ready to challenge the status quo and make an impact. As a member of this cross-functional group, you'll collaborate with teams across Liberty Mutual to deliver analysis that unlocks insights and sparks new, better ways of working.
The Insights & Solutions team provides critical analysis through five functional groups within US Retail Markets:
- Distribution, Marketing & Experience Insights & Solutions
- Data Office
- Claims & Service, Insights & Solutions
- Knowledge & Development Solutions
- Data Science
The US Retail Markets Data Science team brings together a diverse range of talent to predict future risk and what our customers will need to recover. Our data engineers write code that turns trillions of bits of information into structured datadata that our hundred-plus Data Scientists analyze with cutting-edge modeling techniques to unlock insights. From there, our tools and deployment teams ensure this data can be practically applied to business problems across US Retail Markets. Join us and be a part of this dynamic group driving industry-leading data segmentation, fueling the team's success now and into the future.
The Small Commercial (SC) Product Design and Modeling team within US Retail Markets Data Science is hiring an individual contributor, Data Science Analyst, to join the General Liability (GL) team. This role gains experience in collaborating with business partners to develop predictive analytic solutions that enable data-driven strategic decision-making. It utilizes data science techniques to manipulate large structured and unstructured data sets, identify patterns in raw data, and develop models to predict the likelihood of a future outcome and/or to optimize business solutions.
Focus at this level is on gaining industry knowledge, development of predictive analytics techniques, and obtaining experience in storytelling with data.
**This role may have in-office requirements depending on candidate location**
At Liberty, you'll thrive in a hybrid setting that fosters in-person collaboration, innovation and growth. This approach optimizes both remote and in-person interactions, enabling you to connect and ideate with your team and deepen valuable relationships across the company, while still enjoying the flexibility of remote work for focused tasks and projects.
Responsibilities:
- Applies data science techniques; gains confidence in skill application using analytics and data science techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions.
- Identifies and tests hypotheses, ensuring statistical significance, as part of building predictive models for business application.
- Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
- Gains experience in enabling the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes.
- Assists in customizing analytic solutions to specific client needs.
- Responsible for smaller components of projects considered low to moderate complexity and may work on smaller components of complex projects.
- Engages with the Data Science community.
- Participates in cross functional working groups.
- Solid knowledge of predictive analytics techniques and statistical diagnostics of models.
- Advance knowledge of predictive toolset; expert resource for tool development.
- Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
- Has a value-driven perspective with regard to understanding of work context and impact.
- Competencies typically acquired through a Master's degree (scientific field of study) and 0-1 years of relevant experience or a Bachelor's degree (scientific field of study) and 3+ years of relevant experience.
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally. At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow. We are dedicated to fostering an inclusive environment where employees from all backgrounds can build long and meaningful careers. By actively seeking employee feedback and amplifying the voices of our seven Employee Resource Groups (ERGs), which are open to all, we create an environment where every individual can make a meaningful impact so we continue to meet the evolving needs of our customers. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit:
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices
- California
- Los Angeles Incorporated
- Los Angeles Unincorporated
- Philadelphia
- San Francisco
Analyst, Data Science
Posted 2 days ago
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Job Description
Join to apply for the Analyst, Data Science role at Liberty Mutual Insurance Join to apply for the Analyst, Data Science role at Liberty Mutual Insurance Get AI-powered advice on this job and more exclusive features. Liberty Mutual Insurance provided pay range This range is provided by Liberty Mutual Insurance. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $82,000.00/yr - $97,000.00/yr Description The creative problem-solvers in Liberty Mutual’s Insights & Solutions group harness the power of data, analytics and technology to develop innovative solutions that drive our US Retail Markets business forward and support a high-performing culture. This group brings together highly talented thinkers and doers ready to challenge the status quo and make an impact. As a member of this cross-functional group, you’ll collaborate with teams across Liberty Mutual to deliver analysis that unlocks insights and sparks new, better ways of working. The Insights & Solutions team provides critical analysis through five functional groups within US Retail Markets: Distribution, Marketing & Experience Insights & Solutions Data Office Claims & Service, Insights & Solutions Knowledge & Development Solutions Data Science The US Retail Markets Data Science team brings together a diverse range of talent to predict future risk and what our customers will need to recover. Our data engineers write code that turns trillions of bits of information into structured data—data that our hundred-plus Data Scientists analyze with cutting-edge modeling techniques to unlock insights. From there, our tools and deployment teams ensure this data can be practically applied to business problems across US Retail Markets. Join us and be a part of this dynamic group driving industry-leading data segmentation, fueling the team’s success now and into the future. The Small Commercial (SC) Product Design and Modeling team within US Retail Markets Data Science is hiring an individual contributor, Data Science Analyst , to join the General Liability (GL) team . This role gains experience in collaborating with business partners to develop predictive analytic solutions that enable data-driven strategic decision-making. It utilizes data science techniques to manipulate large structured and unstructured data sets, identify patterns in raw data, and develop models to predict the likelihood of a future outcome and/or to optimize business solutions. Focus at this level is on gaining industry knowledge, development of predictive analytics techniques, and obtaining experience in storytelling with data. This role may have in-office requirements depending on candidate location** At Liberty, you'll thrive in a hybrid setting that fosters in-person collaboration, innovation and growth. This approach optimizes both remote and in-person interactions, enabling you to connect and ideate with your team and deepen valuable relationships across the company, while still enjoying the flexibility of remote work for focused tasks and projects. Responsibilities Applies data science techniques; gains confidence in skill application using analytics and data science techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions. Identifies and tests hypotheses, ensuring statistical significance, as part of building predictive models for business application. Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data. Gains experience in enabling the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes. Assists in customizing analytic solutions to specific client needs. Responsible for smaller components of projects considered low to moderate complexity and may work on smaller components of complex projects. Engages with the Data Science community. Participates in cross functional working groups. Qualifications Solid knowledge of predictive analytics techniques and statistical diagnostics of models. Advance knowledge of predictive toolset; expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Has a value-driven perspective with regard to understanding of work context and impact. Competencies typically acquired through a Master’s degree (scientific field of study) and 0-1 years of relevant experience or a Bachelor’s degree (scientific field of study) and 3+ years of relevant experience. About Us Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally. At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow. We are dedicated to fostering an inclusive environment where employees from all backgrounds can build long and meaningful careers. By actively seeking employee feedback and amplifying the voices of our seven Employee Resource Groups (ERGs), which are open to all, we create an environment where every individual can make a meaningful impact so we continue to meet the evolving needs of our customers. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices California Los Angeles Incorporated Los Angeles Unincorporated Philadelphia San Francisco Seniority level Seniority level Not Applicable Employment type Employment type Full-time Job function Job function Analyst, Science, and General Business Industries Insurance Referrals increase your chances of interviewing at Liberty Mutual Insurance by 2x Get notified about new Data Science Specialist jobs in Boston, MA . Boston, MA $119,000.00- 169,000.00 1 month ago Boston, MA 85,000.00- 120,000.00 4 minutes ago Newton, MA 126,000.00- 175,000.00 1 week ago Waltham, MA 101,000.00- 119,000.00 1 day ago Amazon Robotics - Data Scientist (New Grad), Amazon Robotics, Software Research and Science Boston, MA 130,000.00- 175,000.00 4 weeks ago Greater Boston 150,000.00- 210,000.00 6 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
Manager III, Data Science, Software Research and Data Science
Posted 12 days ago
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Job Description
Amazon Robotics Software Research and Data Science team is looking for an analytical, innovative, hands-on and customer-obsessed Manager of Data Science to lead and support a team of Data Scientists, and Data Engineers. In this role you will have the opportunity to define multi-year science strategies to support a wide range of problems in Software Qualification, Production Testing and System Optimization/Deep Dive. You will lead the application and production of a wide range of models (statistical models, computer vision, GenAI) for core SW team in a fast-paced operations environment. This people leader will own forecasts and analytics for system performance, and will develop optimization and forecasting expertise across the core SW team, and methodically expand the team's domain expertise over a wide range of science areas. The ideal candidate will be skilled at building scalable self-service analytics and science infrastructure and can lead a team to productize ML solutions, including managing infrastructure as code and developing MLOps. The right candidate will have experience building teams and growing individuals.
In this role you will work in an ambiguous environment where you have the opportunity to influence organizational strategy, and develop and lead execution strategy for scientific solutions. You will define a path of research and execution.
This Data Science Manager (DSM) will lead and support a cross functional team of scientists and engineers to investigate and develop strategies and concepts to frame a solution set and enable detailed scientific solution design. You bring strong problem-solving capabilities to isolate, define, resolve complex problems, and implement effective solutions. The right candidate for this DSM role must be technically competent and build cross-functional support within the organizations, and with customers. A successful DSM candidate will be able to assess a business problem, define baseline metrics, and support an iterative scientific solution paths that balance delivering results for operations customers, while maintaining focus on long-run science roadmaps.
This candidate is expected to understand science methodologies for a wide range of data types; text, images, and numerical. You will bring enough subject matter expertise to ensure that data collected as part of robotics systems is properly captured, structured, and stored. You are able to communicate all steps of the scientific process to the technical team and to the business stakeholders. An effective candidate is able to understand how to deploy science models into service based application frameworks and seeks opportunities to embed science models in to new and existing products.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
Basic Qualifications
- 5+ years of building quantitative solutions as a scientist or science manager experience
- 2+ years of scientists or machine learning engineers management experience
- 5+ years of applying statistical models for large-scale application and building automated analytical systems experience
- Knowledge of Python or R or other scripting language
Preferred Qualifications
- Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection)
- Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Data Science Lead Analyst
Posted 2 days ago
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Job Description
8 hours ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. THE ROLE The Data Science Lead Analyst, in collaboration with Business Unit and in connection with individual projects, will analyze and evaluate large quantities of data. Leveraging your advanced data analysis skills, you will create, develop, and iterate innovative approaches to answer business questions that will inform the Business Unit engagements. You will apply a data-driven analytical approach to a variety of questions related to MFS's operations, risks, and controls. THE ROLE The Data Science Lead Analyst, in collaboration with Business Unit and in connection with individual projects, will analyze and evaluate large quantities of data. Leveraging your advanced data analysis skills, you will create, develop, and iterate innovative approaches to answer business questions that will inform the Business Unit engagements. You will apply a data-driven analytical approach to a variety of questions related to MFS's operations, risks, and controls. Your work will be project-oriented: you will often be responsible for the entire analytical process - from working with members of the team to identify their need for analytics, data preparation, to outlining the type of solution (implementation and interpretation of the results). You will constructively discuss your results and potential findings with members of the team and the other MFS Business Units. What You Will Do Working with BU to answer business questions with data analytics solutions Identifying and preparing the data (from internal and external sources) through direct coordination with MFS business areas and IT Work with cross-functional stakeholders and leaders to gather and synthesize relevant data, analyze, and develop final recommendations Support BU engagement teams on individual projects that may have specific data analytic needs Contribute to BU's data analytics strategy, including the evaluation of continuous monitoring techniques by leveraging data and supporting project teams on data analytics-related topics. Building models using advanced analytical techniques. This will include descriptive, prescriptive, and other advanced analytical techniques. Support BU in the development of management reporting related to Departmental activities and projects. Develop and provide periodic departmental trainings on data analytics Required WHAT WE ARE LOOKING FOR Bachelor's degree in data sciences or applied Math or Statistics with significant programming experience, Or Computer Sciences with strong Math background. 5-6+ years' work experience in a data analytics/science role Proficiency in Python or R and SQL or Q Experience with analyzing complex, high volume, high dimensionality data from varying sources and both structured and unstructured Advanced knowledge of machine learning with solid understanding of data mining, regression, decision trees, and neural networks Knowledge of Model evaluation with techniques such as cross-validation, confusion matrix and ROC curves Proficiency with data visualization and business intelligence platforms such as Tableau, Power BI or similar. Self-starter, and ability to communicate effectively and collaborate with traders, portfolio managers and business analysts. Skills to communicate complex ideas effectively and willingness to understand the business implications of a wide variety of data. Preferred Familiarity with financial industry data (Bloomberg, , tick level data, etc.) Keen interest to learn new technologies and experiment with innovative solutions. Experience with Cloud platforms (AWS or Azure) and technology capabilities. Experience working in a continuous integration environment, i.e. automated build and code scanning is preferred. Strong interest in the Investment management and Trading functions. #CD-LI1 PDN-9e7b6770-a765-4a4e-862c-a5708349f5da Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Accounting/Auditing Industries Technology, Information and Media Referrals increase your chances of interviewing at TalentAlly by 2x Sign in to set job alerts for “Lead Data Analyst” roles. Senior Analyst – Regulatory Data Compliance business Data Analyst - Pricing & Reporting Newton, MA $119,000.00-$75,000.00 3 days ago Waltham, MA 103,100.00- 154,000.00 2 days ago Boston, MA 120,000.00- 120,000.00 23 hours ago Boston, MA 82,000.00- 150,000.00 20 hours ago FULL TIME Senior Systems Analyst - Front Office / Hybrid Onsite in Boston MA Boston, MA 98,000.00- 140,000.00 3 weeks ago FULL TIME Senior Systems Analyst - Front Office / Hybrid Onsite in Boston MA Customer Remediation Data Analyst - Consumer & Business Banking Risk Boston, MA 105,400.00- 124,000.00 2 days ago Manager of Reporting & Data Visualization Senior Financial Analyst - Business Intelligence (BI)/Data Analytics, Chelmsford, MA, Full-Time, Hybrid Business Analyst Clinical Trials – Electronic Data Capture Boston, MA $1 2,000.00- 169,000.00 3 weeks ago Greater Boston 129,000.00- 169,000.00 22 hours ago Associate Manager, Data Validation Engineer Boston, MA 75,000.00- 100,000.00 1 day ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
Associate Director, Data Science
Posted 2 days ago
Job Viewed
Job Description
Join to apply for the Associate Director, Data Science role at Verizon 2 days ago Be among the first 25 applicants Join to apply for the Associate Director, Data Science role at Verizon When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing. The Artificial Intelligence & Data (AI&D) Organization is an exciting center of excellence supporting all of Verizon. Our team will be a catalyst to Verizon's future in creating networks that move the world forward through the power of Artificial Intelligence & Data. You will leverage advanced analytics and Generative AI (GenAI) to drive competitive intelligence, inform strategy and create actionable insights. You will use deep analytical skills to build a Center of Excellence focussed on bringing together different datasets for insights generation. You will be a strategic thinker joining a high profile, high visibility team that powers analytics and strategic thinking for Verizon. The Market and Network Intelligence team focuses on using competitive intelligence, network data and consumer data to enable decision making and drive insights into the business. You will lead a team that builds tools, analyses, and insights that informs, quantifies, and enables the visualization of data. Bring a consultative mindset to transform data into actionable insights to achieve business outcomes Automate data collection, cleansing, and integration processes using GenAI, enabling rapid and scalable intelligence gathering from structured and unstructured sources (e.g., news, social media, financial reports, customer feedback etc.). Build and maintain interactive dashboards, automated reports, and data visualizations to communicate findings clearly to executive leadership. Lead a strong internal data analytics team to support the business. Collaborate with cross-functional teams to translate analytics-driven insights into strategic business recommendations. Performing exploratory and targeted data analyses using descriptive statistics and other methods. Presenting results and recommendations to senior management and business users. Mentor and elevate analytics professionals, building a team that combines technical expertise with business acumen to drive sustained competitive advantage What We’re Looking For. You are the one reading up on the latest standard methodologies in data mining and visualization. You can visualize the big picture strategy, but can also break it down into the components to get the job done. You believe that the best decisions are based in data and you’re the one that knows how to tease out the key learning within a dataset. You have credibility with people because you are a specialist in all things data but you also know how to bring it down to the level that your audience can understand—that’s practical and will help the business improve. And you’re an effective and inspiring leader who brings out the best in others. You’ll Need To Have Bachelor’s degree or four or more years of relevant work experience Six or more years of relevant experience Demonstrated experience applying GenAI or advanced analytics tools in business Knowledge of forward-looking technologies and trends, including Generative AI (prompt engineering) Experience leading analytical teams Ability to present complex or technical topics in an engaging way Even better if you have one or more of the following: MBA and/or Master's of Engineering or technical field Understanding of telecom industry trends, competitive landscape and the role of AI in business strategy Prior experience at a top-tier consulting firm or in a strategy/analytics role at a major telecom company is highly desirable Experience with quantitative modeling, statistics, or data mining. Strong understanding of data science Experience with Alteryx or similar ETL/geospatial tools If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and a minimum eight assigned office days per month that will be set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics. Benefits And Compensation Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, stock incentive programs, up to 8 company paid holidays per year and up to 6 personal days per year, parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances. The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours. The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $126,000.00 - $42,000.00. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Verizon by 2x Get notified about new Director Data Science jobs in Boston, MA . Boston, MA 208,200.00- 327,140.00 2 weeks ago Boston, MA 174,500.00- 274,230.00 2 weeks ago Senior Director of AI, Data Science and Analytics - Center of Excellence Director - Head of Data & Decision Science (remote) Bedford, MA 200,000.00- 220,000.00 1 day ago Director, Data Science - Head DAx Data Science Cambridge, MA 194,600.00- 361,400.00 16 hours ago Senior Director, Advanced Analytics, Data Science & AI Lead Director, Data Science - Retail Pharmacy Analytics Director, Data Engineering and Analytics Founding Head of ML (Prompting / Agentic Systems / RAG Orchestration) Director of Data Science - Analytics Innovation, Retail & CPG Director, Artificial Intelligence - Hybrid Vice President of Field Operations – Americas (Cloud Data & AI in Life Sciences) - US Remote Boston, MA $1 4,500.00- 274,230.00 3 weeks ago Senior Director/Dir, Commercial Analytics & Business Insights-PHARMA Greater Boston 240,000.00- 260,000.00 5 days ago Lead Director, Data Science - Retail Pharmacy Analytics Wellesley Hills, MA 144,200.00- 288,400.00 1 month ago Director, Data Science and Marketing Analytics Innovation Executive Director, Commercial Operations & Analytics Director, Insights & Analytics – Cross Brand Lead Cambridge, MA $1 5,000.00- 269,000.00 3 weeks ago Senior Director, Insights and Analytics, Oncology Cambridge, MA 180,000.00- 260,000.00 5 days ago Cambridge, MA 172,000.00- 210,000.00 19 hours ago Director, Forecasting Planning and Analytics Boston, MA 186,500.00- 297,500.00 2 hours ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
Associate Director Data Science
Posted 4 days ago
Job Viewed
Job Description
You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.
What you’ll be doing.The Artificial Intelligence & Data (AI&D) Organization is an exciting center of excellence supporting all of Verizon. Our team will be a catalyst to Verizon's future in creating networks that move the world forward through the power of Artificial Intelligence & Data.
You will leverage *** advanced analytics and Generative AI (GenAI) to drive competitive intelligence, inform strategy and create actionable insights. You will use deep analytical skills to build a Center of Excellence focussed on bringing together different datasets for insights generation.
You will be a strategic thinker joining a high profile, high visibility team that powers analytics and strategic thinking for Verizon. The Market and Network Intelligence team focuses on using competitive intelligence, network data and consumer data to enable decision making and drive insights into the business. You will lead a team that builds tools, analyses, and insights that informs, quantifies, and enables the visualization of data.
-
Bring a consultative mindset to transform data into actionable insights to achieve business outcomes
-
Automate data collection, cleansing, and integration processes using GenAI, enabling rapid and scalable intelligence gathering from structured and unstructured sources (e.g., news, social media, financial reports, customer feedback etc.).
-
Build and maintain interactive dashboards, automated reports, and data visualizations to communicate findings clearly to executive leadership.
-
Lead a strong internal data analytics team to support the business.
-
Collaborate with cross-functional teams to translate analytics-driven insights into strategic business recommendations.
-
Performing exploratory and targeted data analyses using descriptive statistics and other methods.
-
Presenting results and recommendations to senior management and business users.
-
Mentor and elevate analytics professionals, building a team that combines technical expertise with business acumen to drive sustained competitive advantage
You are the one reading up on the latest standard methodologies in data mining and visualization. You can visualize the big picture strategy, but can also break it down into the components to get the job done. You believe that the best decisions are based in data and you’re the one that knows how to tease out the key learning within a dataset. You have credibility with people because you are a specialist in all things data but you also know how to bring it down to the level that your audience can understand—that’s practical and will help the business improve. And you’re an effective and inspiring leader who brings out the best in others.
You’ll need to have:
-
Bachelor’s degree or four or more years of relevant work experience
-
Six or more years of relevant experience
-
Demonstrated experience applying GenAI or advanced analytics tools in business
-
Knowledge of forward-looking technologies and trends, including Generative AI (prompt engineering)
-
Experience leading analytical teams
-
Ability to present complex or technical topics in an engaging way
Even better if you have one or more of the following:
-
MBA and/or Master's of Engineering or technical field
-
Understanding of telecom industry trends, competitive landscape and the role of AI in business strategy
-
Prior experience at a top-tier consulting firm or in a strategy/analytics role at a major telecom company is highly desirable
-
Experience with quantitative modeling, statistics, or data mining.
-
Strong understanding of data science
-
Experience with Alteryx or similar ETL/geospatial tools
If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.
Where you’ll be workingIn this hybrid role, you'll have a defined work location that includes work from home and a minimum eight assigned office days per month that will be set by your manager.
Scheduled Weekly Hours40
Equal Employment OpportunityVerizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.
Benefits and CompensationOur benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, stock incentive programs, up to 8 company paid holidays per year and up to 6 personal days per year, parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.
The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours.
The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $126,000.00 - $242,000.00.
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Principal - Data Science (1203)
Posted 4 days ago
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About Axtria
Axtria is a global provider of data analytics, software, and consulting services for the Life Sciences and Pharmaceutical industry. With 3,700+ employees and clients in over 30 countries, Axtria empowers life sciences organizations to drive commercial success and improve patient outcomes.
Since our founding in 2010, Axtria has differentiated itself through technology innovation. Our cloud-native platforms—Axtria DataMax™, InsightsMax™, SalesIQ™, MarketingIQ™, and CustomerIQ™—enable seamless integration of data science and AI across commercial operations, supporting functions from sales planning to omnichannel engagement.
Role Summary
As a Data Science Leader, you will drive high-impact AI/ML strategy and delivery across commercial, medical, and clinical domains for top global pharma clients. This Executive-track role blends strategic client advisory, revenue generation, and team leadership. You’ll design and implement cutting-edge GenAI, predictive modeling, NLP, and experimentation pipelines using Axtria platforms—delivering measurable business impact and improved patient outcomes.
Key Responsibilities
Client & Delivery Leadership
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Lead complex, high-value data science engagements across commercial and medical domains.
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Architect GenAI, causal inference, NLP, and predictive models using Axtria’s platforms.
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Solve critical problems across the stakeholder journey, e.g., GTM strategy, omnichannel orchestration, patient support.
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Ensure delivery governance, scientific rigor, and business value realization.
Business Growth
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Drive $1M+ in annual new revenue through client expansion, solution selling, and platform cross-sell.
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Identify whitespace opportunities and influence go-to-market strategies in AI and data science.
Strategic Advisory & Thought Leadership
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Serve as trusted advisor to VP/CXO-level stakeholders; shape AI/ML Data Science strategy and analytics transformation.
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Lead workshops, develop industry points-of-view, and contribute to thought leadership through whitepapers, conferences, and publications.
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Contribute reusable IP, agent libraries, and GenAI asset kits aligned with commercial, medical and clinical domains.
Team & Capability Building
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Build, lead, and mentor global data science teams.
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Attract and retain top talent while establishing learning agendas and knowledge assets.
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Foster a culture of scientific excellence, reusability, and ethical AI.
Experience & Skills:
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18+ years in data science, analytics, or AI consulting with a focus on life sciences or healthcare.
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Deep domain expertise in commercial pharma analytics, RWE/HEOR, field force optimization, and patient-level data.
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Advanced technical skills in GenAI (LLMs, RAG), causal modeling, NLP, and predictive modeling (Python, R, SQL).
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Cloud deployment expertise (AWS, Azure, GCP), MLOps, and data governance experience.
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Executive presence; proven ability to lead $1M+ client engagements and consultative sales cycles.
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Strong leadership and mentoring track record with global delivery teams.
Education:
- Master’s or PhD in Data Science, Biostatistics, Computer Science, Epidemiology, Public Health, or related field.
Why Join Axtria
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Platform-Led Innovation: Deliver integrated solutions via proprietary platforms like SalesIQ™, InsightsMax™, CustomerIQ™, etc.
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Career Growth: Entrepreneurial environment with strong leadership exposure and Partner-track potential.
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Industry Impact: Serve 100+ global life sciences clients, including 16 of the top 20 pharma companies.
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Ethical AI Leadership: Join a team driving responsible GenAI innovation across the life sciences value chain.
Additional Details
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Hybrid work model (3 days onsite) Boston, MA or client.
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Competitive compensation, performance-based bonus, 401(k) with company match, health benefits, and PTO.
Axtria is an EEO/AA employer. All qualified applicants will receive consideration without regard to race, gender identity, religion, national origin, disability, veteran status, or other protected characteristics.
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Market Researcher - Data Science
Posted 6 days ago
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We see you're coming in from Europe. Are you interested in a position with Apex Systems? Send us your information and resume or call us at our Cork office +353 21 2330 150 Job#: 2081366 Job Description: Apex Systems is a world class technology services business that incorporates industry insights and experience to deliver solutions that fulfill our clients’ digital visions. Position: Market Researcher – Data Science Location: Remote Rate: $50.00 - $65.00 per hour Duration: 6+ Months; Strong potential for extension / full-time hire Overview: Our client in the Banking industry is seeking a highly motivated team member at the Sr. Associate Market Researcher level to join the Consumer Insights team, reporting directly to the Director of Consumer Insights. This role supports in measuring and improving brand health (Brand Tracking), customer satisfaction (NPS & Competitive Tracking) and key industry measures (JD Power) driving decisions that impact overall brand and operational strategy, ensuring insights are interpreted with consideration to strategic, tactical and competitive influences. While this team member will engage on a contract basis to start, the aspiration is to ultimately convert to a full-time employee. This individual will work closely with other research, risk and operations team members (both domestic and global) while overseeing established vendor teams to manage, maintain and optimize these programs; including ownership of methodology, sample management, data analysis, quality control and ongoing program reporting – delivering results to internal stakeholders and executive management. This individual will also support the Consumer Insights Team in maintaining quantitative excellence across both ongoing and ad-hoc studies, delivering methodological and analytical output as noted. Responsibilities: • Monthly and Annual Reporting: Lead the preparation of comprehensive reports on brand tracking, NPS, and J.D. Power studies, providing clear insights and actionable recommendations. • Ongoing support within the Consumer Insights team to deliver and maintain quantitative excellence in design and reporting across existing and ad-hoc studies. • Collaboration & Support: Provide quantitative methodological and analytical support to the broader Consumer Insights team by assisting in the creation & execution of market research projects, coordinating project timelines, and ensuring high-quality analysis and deliverables. Required Qualifications: • Marketing Research/Insights, Quantitative Design and Analysis, Large Tracking Study Management or related experience., 8+ years. • Financial Services Industry experience., 0-3+ years. • Experience: Minimum 8+ years of experience in market research, with a focus on qualitative analysis. • Analytical Skills: Proficient in sample management/recruiting, analyzing large datasets, identifying trends, and drawing meaningful conclusions based on business context from quantitative and qualitative data, business/strategic performance. Technical Expertise: • Proficient in market research tools and software for data collection and completing analysis through Excel using pivot tables and formulas. Preferred Qualifications: • Experience with brand health metrics, customer experience measurement, competitive analysis and NPS surveys. • Experience with customer satisfaction, consumer behavior studies, and trend analysis. • Experience with calculating regression, correlations, and statistical significance. Education: • Bachelor’s degree or equivalent work experience in Marketing Research, Data Science, Statistics, Business Administration or equivalent field. Additional Benefits: For this opportunity, you will also be eligible for benefits through Apex for the contract period, 401K, medical/health benefits options, a W2 hourly rate, weekly pay, and direct deposit! Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our ‘Welcome Packet’ as well, which an Apex team member can provide. #J-18808-Ljbffr
DATA SCIENCE FELLOWSHIP OPPORTUNITY
Posted 7 days ago
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Program: Apply today for The Data Incubator’s Free Data Science Fellowship Program. The Data Incubator is an intensive 8 week fellowship that prepares current and graduated masters, PhDs, and postdocs in STEM and social science fields seeking industry careers as data scientists. We teach about data engineering, machine-learning, analytics, visualization and many other big data topics. The program is free for Fellows and supported by sponsorships from hundreds of employers across multiple industries. Locations: There will be both an in-person (in NYC, DC, SF, Boston, Seattle) and online section of the fellowship. Dates: All sessions will be from 2018-09-10 – 2018-11-02. Get In Touch Regional Science Association International #J-18808-Ljbffr