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American Express Travel Related Services Company, Inc. seeks Managers, Data Science to develop predictive modeling for businesses, incorporating customer behaviors and data granularity.Use machine learning techniques to improve forecasts and produce business insights.Partner across finance, risk, and business teams to derive strategic insights by leveraging visualization and reporting tools. Research and deploy emerging technologies to ensure successful quantitative analytical approaches and techniques to advance business goals.Position requires a Master’s degree in Statistics, Mathematics, Computer Science, Engineering, Information Systems, or a related field, and 2 years of experience with applying statistical and econometric modeling techniques to solve business problems in the financial industry. Experience must include 1 year of experience with each of the following: quantitative, mathematical, and statistical concepts and data processing techniques, including survival analysis, linear and logistic regression, time series analysis, panel data, decision tree analysis, and multivariate distribution theory; researching and presenting complex statistical concepts to non-technical audiences; application of advanced predictive analytics using large volumes of customer and merchant data; data visualization tools; database queries, including SQL, Teradata, and HiveQL; and machine learning techniques, Python, R, and SAS. Telecommuting is available up to 2 days per week.Job Location: New York, NY Salary Range: $100,547.00 to $165,000.00 annuallyWe back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:<ul><li>Competitive base salaries&nbsp;</li><li>Bonus incentives&nbsp;</li><li>6% Company Match on retirement savings plan&nbsp;</li><li>Free financial coaching and financial well-being support&nbsp;</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits&nbsp;</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy&nbsp;</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;</li><li>Free and confidential counseling support through our Healthy Minds program&nbsp;</li><li>Career development and training opportunities</li></ul>For a full list of Team Amex benefits, visit our Colleague Benefits Site.American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: <a href="https://www.eeoc.gov/poster" target="_blank">https://www.eeoc.gov/poster</a>The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider a number of job-related factors, including experience and location.#LI-DNI

American Express

Managers, Data Science

You Lead the Way. We’ve Got Your Back.&nbsp;With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.&nbsp;At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.&nbsp;Join Team Amex and let's lead the way together.&nbsp;How will you make an impact in this role?&nbsp;Responsible for contacting clients with overdue accounts to secure the settlement of the account. Also they do preventive work to avoid future overdues with accounts that have a high exposure.&nbsp;The Analytics, Investments and Marketing Enablement (AIM) team – a part of Global Commercial Services Marketing (GCSM) – is the analytics engine that enables the Global Commercial business. The team is responsible for driving Commercial Customer acquisitions, engagement &amp; retention by evolving our card &amp; beyond-card products, targeting customers over online and offline channels through delivering world-class Analytics, Insights and Data Products. This Manager role, based out of New York, would be a part of AIM team responsible for US Commercial Customer Spend Engagement and Retention Analytics and Data Sciences, in close partnerships with a diverse set of stakeholders in the US. The incumbent would work on a team with presence in NY and Gurgaon (India).&nbsp; This specific Manager role would be a part of the 'Digital Acquisition Analytics' team within AIM - responsible for driving analytics.&nbsp;Responsibilities:&nbsp;<ul><li>Creating world class analytical solutions and developing cutting edge, future-proof Identity &amp; Personalization capabilities powered by Data, Dynamic Intelligence&nbsp;</li><li>Responsible for delivering innovative targeting solutions in collaboration with stakeholders across Global Commercial Services, Enterprise Digital and Data Solutions group &amp; with External Mar Tech Partners.&nbsp;</li><li>Optimize performance, drive efficient growth through developing Personalized acquisition incentive strategy for the launch of Dynamic application capability where acquisition incentives for a small business credit card application are revealed during the card application journey instead of upfront offering.&nbsp;</li><li>Analytics to devise targeting strategy for Employee Card offerings to small business credit card holders when they visit AXP web assets.&nbsp;</li><li>Able to pull and analyze data to help develop actionable data-driven insights through a deep understanding of the commercial business.&nbsp;</li><li>Develop and foster cross functional relationships with partners across American Express to ensure project prioritization and implementation&nbsp;</li></ul>Minimum Qualifications:<ul><li>Bachelor’s Degree in a quantitative field (e.g., Finance, Engineering, Physics, Mathematics, Computer Science or Economics)&nbsp;</li><li>Experience with PySpark/Python/SQL/SAS&nbsp;</li><li>Strong analytical/conceptual thinking acumen to solve unstructured and complex business problems and articulate key findings to senior leaders/stakeholders to influence business decision making&nbsp;</li><li>Strong understanding of the digital eco-system as it relates to digital analytics, related tools &amp; technology like Clickstream logs, Data management platforms, Real time recommender systems&nbsp;</li><li>An artful ability to work within cross-functional teams to connect the dots and bring new innovations to life&nbsp;</li><li>Excellent communication and interpersonal skills to win hearts &amp; minds of team members, partners&nbsp;</li></ul>Preferred Qualifications:<ul><li>2+ years of digital analytics experience and familiarity with paid marketing channels, digital marketing technology&nbsp;</li><li>&nbsp;Demonstrated ability to work independently and across a matrix organization partnering with cross-functional teams and external vendors to deliver solutions at top speed.&nbsp;</li><li>Experience in large data processing and handling, deep understanding in data science&nbsp;XGBoost, decision trees, regression modeling, etc.&nbsp;</li></ul>Salary Range: $90,000.00 to $165,000.00 annually + bonus + benefitsThe above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.&nbsp;We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:<ul><li>Competitive base salaries&nbsp;</li><li>Bonus incentives&nbsp;</li><li>6% Company Match on retirement savings plan&nbsp;</li><li>Free financial coaching and financial well-being support&nbsp;</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits&nbsp;</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need&nbsp;</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy&nbsp;</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;</li><li>Free and confidential counseling support through our Healthy Minds program&nbsp;</li><li>Career development and training opportunities</li></ul>For a full list of Team Amex benefits, visit our Colleague Benefits Site.American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: <a href="https://www.eeoc.gov/poster" target="_blank">https://www.eeoc.gov/poster</a>

Manager - Data Science, Digital Acquisition Analytics

You Lead the Way. We’ve Got Your Back.With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.Join Team Amex and let's lead the way together.How we serve our customers is constantly evolving and is a challenge we gladly accept. Whether you’re finding new ways to prevent identity fraud or enabling customers to start a new business, you can work with one of the most valuable data sets in the world to identify insights and actions that can have a meaningful impact on our customers and our business. And, with opportunities to learn from leaders who have defined the course of our industry, you can grow your career and define your own path. Find your place in risk and analytics on #TeamAmex.How will you make an impact in this role?Model Risk Management Group (MRMG) within Global Risk Banking and Compliance Group, is responsible for the independent risk management of all American Express (AXP) models.Purpose of the Role:The successful candidate will be responsible to manage and controls model risk, specifically associated to the next generation Artificial Intelligence or Machine Learning based models. &nbsp;This role will elevate model excellence, strengthen long term shareholder value, and adapt to the changing landscape of both model development innovation, external environment and heightened regulatory expectations.The specific responsibilities include: &nbsp;<ul><li>Conduct independent oversight of enterprise-wide models with a focus on Artificial Intelligence and Machine Learning based models for marketing, credit, fraud or other business/ risk types.</li><li>Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened regulatory standards</li><li>Conduct AI/ML research to explore opportunities and set guidelines in order to address regulators, elevate model excellence and drive business impact&nbsp;</li><li>Communicating results to partners, senior leadership and various model committees</li></ul>Critical Factors to Success:1. Business Outcomes:<ul><li>Drive billing, revenue growth and profitability through advanced analytical techniques</li><li>Maximize business returns by institutionalizing efficient and accurate models.</li><li>Innovate modeling techniques and variable creation</li><li>Ensure modeling accuracy and enhance modeling efficiency in existing processes using Machine Learning</li></ul>2. Leadership Outcomes:<ul><li>Put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues &amp; shareholders.</li><li>Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings</li><li>Demonstrate learning agility, make decisions quickly and with the highest level of integrity</li><li>Lead with a digital mindset and deliver the world’s best customer experiences every day</li></ul>Past Experience:<ul><li>Preferred 4+ years experience in analytics or big data workstreams</li></ul>Academic Background:<ul><li>MBA, Master’s Degree in Economics, Statistics, or Related Fields from Top Tier Institute</li></ul>Functional Skills/Capabilities:<ul><li>Hands-on model development or validation experience.</li><li>Experience with NLP / NLU model and chatbot frameworks would be preferred.</li><li>Strong Analytical and Relationship and project management skills for driving validation initiatives.</li><li>Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred.</li><li>Good Verbal, Written, Interpersonal skills and ability to work effectively in a team environment.</li><li>Willingness to Collaborate with Cross-Functional teams to drive validation and Project Execution.</li><li>Effectively communicating complex Analytical results to Business Partners and Senior Management.</li><li>Flexibility and Adaptability to Work Within tight deadlines and changing priorities.</li></ul>Technical Skills/Capabilities:<ul><li>Experience with at least one of the data manipulation tools such as R, JAVA, SQL and SAS is a must have</li></ul>Salary Range: $90,000.00 to $165,000.00 annually + bonus + benefitsThe above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:<ul><li>Competitive base salaries&nbsp;</li><li>Bonus incentives&nbsp;</li><li>6% Company Match on retirement savings plan&nbsp;</li><li>Free financial coaching and financial well-being support&nbsp;</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits&nbsp;</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need&nbsp;</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy&nbsp;</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;</li><li>Free and confidential counseling support through our Healthy Minds program&nbsp;</li><li>Career development and training opportunities</li></ul>For a full list of Team Amex benefits, visit our Colleague Benefits Site.American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: <a href="https://www.eeoc.gov/poster" target="_blank">https://www.eeoc.gov/poster</a>*Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.

Manager-Data Science

American Express Travel Related Services Company, Inc. seeks Managers, Data Science to develop predictive modeling for businesses, incorporating customer behaviors and data granularity.Use machine learning techniques to improve forecasts and produce business insights.Partner across finance, risk, and business teams to derive strategic insights by leveraging visualization and reporting tools.Research and deploy emerging technologies to ensure successful quantitative analytical approaches and techniques to advance business goals.Position requires a Master’s degree in Statistics, Mathematics, Computer Science, Engineering, Information Systems, or a related field, and 1 year of experience with applying statistical and econometric modeling techniques to solve business problems in the financial industry. Experience must include 1 year of experience with each of the following: quantitative, mathematical, and statistical concepts and data processing techniques, including survival analysis, linear and logistic regression, time series analysis, panel data, decision tree analysis, and multivariate distribution theory;researching and presenting complex statistical concepts to non-technical audiences; application of advanced predictive analytics using large volumes of customer and merchant data; data visualization tools; database queries, including SQL, Teradata, and HiveQL; and machine learning techniques, Python, R, and SAS. Telecommuting is available up to 2 days per week.Job Location: New York, NYSalary Range: $111,966.00 - $165,000.00 annuallyWe back our colleagues and their loved ones with benefits and programs that&nbsp;support their holistic well-being. That means we prioritize their physical, financial,&nbsp;and mental health through each stage of life. Benefits include: · Competitive base salaries · Bonus incentives · 6% Company Match on retirement savings plan · Free financial coaching and financial well-being support · Comprehensive medical, dental, vision, life insurance, and disability benefits&nbsp; · 20+ weeks paid parental leave for all parents, regardless of gender, offered&nbsp;for pregnancy, adoption or surrogacy · Free access to global on-site wellness centers staffed with nurses and doctors&nbsp;(depending on location) · Free and confidential counseling support through our Healthy Minds program&nbsp; · Career development and training opportunities For a full list of Team Amex benefits, visit our&nbsp;Colleague Benefits Site. American Express is an equal opportunity employer and makes employment&nbsp;decisions without regard to race, color, religion, sex, sexual orientation, gender&nbsp;identity, national origin, veteran status, disability status, age, or any other status&nbsp;protected by law. American Express will consider for employment all qualified&nbsp;applicants, including those with arrest or conviction records, in accordance with the&nbsp;requirements of applicable state and local laws, including, but not limited to, the&nbsp;California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for&nbsp;Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance.&nbsp;For positions covered by federal and/or state banking regulations, American Express&nbsp;will comply with such regulations as it relates to the consideration of applicants with&nbsp;criminal convictions.US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window:&nbsp;<a href="https://www.eeoc.gov/poster" target="_blank">https://www.eeoc.gov/poster</a>The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider a number of job-related factors, including experience and location. #LI-DNI

American Express Travel Related Services Company. Inc. seeks Directors, Data Science to drive the strategic analysis of credit metrics and credit provision. Lead the provision of credit-related analytical support, and develop and present key analyses and recommendations to management. Serve as the decisionmaker for developing analytics that identify trends and opportunities in the portfolio in order to optimize business and risk decisions. Own specific data assets and applications, ensuring the team’s use of data science tools, when troubleshooting issues, reconciling results, identifying improvements and automation opportunities, and training other users to drive adoption.Position requires a Master’s degree in Finance, Statistics, Quantitative Economics, Operations Research, Business Administration, Computer Science, Engineering (any), or a related field, and 2 years of experience with risk management and risk analysis experience. Experience must include 2 years of experience with each of the following: credit risk data from credit bureaus and internal credit source, source systems, and data management processes; providing strategic guidance on risk information system implementation and enhancements, new data evaluation, and regulatory audit strategies; working with professional teams in multiple geographies; data analysis and transforming credit and risk capabilities using Big Data technologies, including Pig, Hive, and R;&nbsp; 2 years of experience with linear regression models, logistic regression models, and advanced machine learning models, including kNN, and GBM techniques; and 2 years of experience with Base SAS, SAS Enterprise Guide, SPSS, SQL, and Teradata. Telecommuting available up to 2 days per week.Job Location: New York, NY &nbsp;&nbsp;Salary Range: $150,000.00 - $225,000.00 annuallyWe back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:<ul><li>Competitive base salaries&nbsp;</li><li>Bonus incentives&nbsp;</li><li>6% Company Match on retirement savings plan&nbsp;</li><li>Free financial coaching and financial well-being support&nbsp;</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits&nbsp;</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy&nbsp;</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;</li><li>Free and confidential counseling support through our Healthy Minds program&nbsp;</li><li>Career development and training opportunities</li></ul>For a full list of Team Amex benefits, visit our&nbsp;Colleague Benefits Site.American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window:&nbsp;<a href="https://www.eeoc.gov/poster" target="_blank">https://www.eeoc.gov/poster</a>The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider a number of job-related factors, including experience and location.#LI-DNI

Directors, Data Science

American Express Company seeks Senior Managers, Data Science to develop predictive modeling for businesses, incorporating customer behaviors and data granularity. Use machine learning techniques to improve forecasts and produce business insights. Partner across finance, risk, and business teams to derive strategic insights by leveraging visualization and reporting tools. Research and deploy emerging technologies to ensure successful quantitative analytical approaches and techniques to advance business goals. Position requires a Master’s degree in Statistics, Mathematics, Computer Science, Engineering, Cognitive Science, or a related field, and 1 year of experience with applying statistical and econometric modeling techniques. Experience must include 1 year with each of the following: applying quantitative, mathematical, and statistical concepts and data processing techniques, including linear and logistic regression, time series analysis, decision tree analysis, and multivariate distribution theory; researching and presenting complex statistical concepts to non-technical audiences; applying advanced predictive analytics; database queries, including SQL; using regular expression for text data; and with A/B testing analysis, AWS, Bash, conditional probability distribution, deep learning techniques, GIT, machine learning techniques, PySpark, Python, nonparametric hypothesis testing, and R. Telecommuting is available up to 2 days per week.Job Location: New York, NY &nbsp;&nbsp;Salary Range: $111,966.00 - $165,000.00 annuallyWe back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:<ul><li>Competitive base salaries&nbsp;</li><li>Bonus incentives&nbsp;</li><li>6% Company Match on retirement savings plan&nbsp;</li><li>Free financial coaching and financial well-being support&nbsp;</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits&nbsp;</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy&nbsp;</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;</li><li>Free and confidential counseling support through our Healthy Minds program&nbsp;</li><li>Career development and training opportunities</li></ul>For a full list of Team Amex benefits, visit our&nbsp;Colleague Benefits Site.American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window:&nbsp;<a href="https://www.eeoc.gov/poster" target="_blank">https://www.eeoc.gov/poster</a>The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider a number of job-related factors, including experience and location.#LI-DNI

Senior Managers, Data Science

Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity. Take your career farther than you thought possible.Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.The Early Development Clinical Scientist function provides scientific expertise necessary to design and deliver clinical studies and programs.Position Summary / Objective<ul><li>Responsible for implementation, planning, and execution of assigned clinical trial activities.</li><li>Successfully leads, plans, and executes trial level activities for multiple trials with minimal to moderate level of supervision.</li><li>Provides scientific and clinical leadership to clinical scientists on study team (matrix leadership).</li><li>May support clinical development planning in collaboration with Early Clinical Development physician(s).</li></ul>Position Responsibilities<ul><li>Maintain a thorough understanding of assigned protocols and protocol requirements and educate team members.</li><li>Plan and lead the implementation of clinical study startup/conduct/close-out activities as applicable.</li><li>Evaluate innovative trial designs in collaboration with the study physician.</li><li>Manage protocol and ICF development process (e.g., documents and amendments) with minimal guidance; includes writing, reviewing, adjudication/resolution of cross functional comments and ensuring high clinical quality in collaboration with Medical Writing. Present to governance committee and early clinical development team meetings as required.</li><li>Serve as primary contact for site-facing activities such as training and support for clinical questions.</li><li>Conduct and oversee activities related to data generation and validation, including CRF design, clinical data review/query resolution; ensure consistent, quality data review.</li><li>Identify clinical data trends; provide trends and escalate questions to study physician.</li><li>Develop clinical narrative plan and review clinical narratives.</li><li>Provide information required by Protocol Manager for development of trial budget, CRO scope of work, etc.</li><li>Review/develop site and CRA training materials and presentation at SIV and Investigator meetings and support on Study committee (e.g., safety review) activities.</li><li>Author/review clinical study reports (CSRs) and clinical portions of Regulatory Documents (e.g., pre-IND, IND, IB, DSUR, regulatory responses).</li><li>Collaborate and serve as primary liaison between external partners for scientific advice.</li><li>Author/review abstracts, presentations, and manuscripts for external publications</li></ul>Reporting Relationship<ul><li>Report to Director, Clinical Scientists, Early Development</li></ul>Degree Requirements<ul><li>Degree in Life Sciences (MD, PhD, Pharm D, MS, RN or similar scientific field preferred).</li></ul>Experience Requirements<ul><li>5+ years of experience in clinical science, clinical research, or equivalent.</li><li>Proficient knowledge of GCP/ICH, drug development process, study design, statistics, clinical operations.</li><li>Proficient knowledge and skills to support program specific data review, trend identification, data interpretation</li><li>Knowledge of the establishment and operation of data monitoring committees, dose review teams, and independent response adjudication committees.</li></ul>Key Competency Requirements<ul><li>Excellent verbal, written, communication and interpersonal skills.</li><li>Must be able to effectively communicate and collaborate across functions and job levels.</li><li>Ability to assimilate technical information quickly.</li><li>Routinely takes initiative.</li><li>Detail-oriented.</li><li>Strong sense of teamwork; ability to lead matrix team activities.</li><li>Proficient in Medical Terminology and medical writing skills.</li><li>Proficient knowledge of the disease area(s), KOLs, indication(s), compound(s) under study (including MOA, PK/PD, biomarker &amp; safety profile).</li><li>Proficient critical thinking, problem solving, decision making skills.</li><li>Understanding of functional and cross-functional relationships.</li><li>Commitment to Quality.</li><li>Adaptable / Flexible - willing and able to adjust to multiple demands and shifting priorities as well as an ability to meet day-to-day challenges with confidence and professionalism.</li><li>Proficient planning/project management skills (ability to develop short to mid-range plans that are realistic and effective in meeting goals).</li><li>Proficient in Microsoft Word, Excel, PowerPoint, Electronic Data Capture (e.g., RAVE), J-Review or similar data reporting tools.</li></ul>Travel Required<ul><li>Domestic and international travel may be required (approximately 10-25%)</li></ul>If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.On-site ProtocolBMS has a diverse occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to <a href="mailto:adastaffingsupport@bms.com" target="_blank">adastaffingsupport@bms.com</a>. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information:&nbsp;<a href="https://careers.bms.com/california-residents/" target="_blank">https://careers.bms.com/california-residents/</a>Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

7 Natural and Environmental Sciences Jobs in New York, NY, USA