decision scientist

FedEx

<div>
 Responsible for conducting in-depth analysis of complex datasets, deploying predictive models, applying optimization techniques, designing decision support systems, analyzing experiments, collaborating with cross-functional teams, staying abreast of advancements, and assessing the impact of data-driven decisions.
 <br/>
 <br/>
 Grade - ____
 <br/>
 <br/>
 Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date
 <br/>
 <br/>
 <strong>
  What Your Main Responsibilities Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Conduct in-depth analysis of complex data sets to uncover actionable insights and trends.
  </li>
  <li>
   Develop and deploy predictive models to forecast business outcomes and support decision-making processes.
  </li>
  <li>
   Apply optimization techniques to improve business processes and resource allocation.
  </li>
  <li>
   Design and implement decision support systems that enable stakeholders to make data-driven decisions.
  </li>
  <li>
   Design and analyze experiments to evaluate the effectiveness of business strategies and interventions.
  </li>
  <li>
   Collaborate with cross-functional teams and stakeholders to understand business requirements and priorities.
  </li>
  <li>
   Stay abreast of advancements in data science, machine learning, and decision science to enhance analytical capabilities.
  </li>
  <li>
   Assess the impact of data-driven decisions on key business metrics and outcomes and iterate on models and strategies accordingly.
   <br/>
   <br/>
  </li>
 </ul>
 Education: Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Master's degree or PhD is preferred.
 <br/>
 <br/>
 Relevant work experience in decision science based on the following number of years:
 <br/>
 <br/>
 Standard I: Two (2) years
 <br/>
 <br/>
 Standard II: Three (3) years
 <br/>
 <br/>
 Senior I: Four (4) years
 <br/>
 <br/>
 Senior II: Five (5) years
 <br/>
 <br/>
 <strong>
  Knowledge, Skills And Abilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Fluency in English
  </li>
  <li>
   Analytical Skills
  </li>
  <li>
   Accuracy &amp; Attention to Detail
  </li>
  <li>
   Numerical Skills
  </li>
  <li>
   Planning &amp; Organizing Skills
  </li>
  <li>
   Presentation Skills
  </li>
  <li>
   Statistical and Mathematical Knowledge
  </li>
  <li>
   Data Modeling and Visualization Skills
  </li>
  <li>
   Programming Skills
   <br/>
   <br/>
  </li>
 </ul>
 FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone.
 <br/>
 <br/>
 All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances.
 <br/>
 <br/>
 Our Company
 <br/>
 <br/>
 FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World&rsquo;s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding.
 <br/>
 <br/>
 Our Philosophy
 <br/>
 <br/>
 The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company.
 <br/>
 <br/>
 Our Culture
 <br/>
 <br/>
 Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970&rsquo;s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today&rsquo;s global marketplace.
</div>


Decision Scientist I

<div><p>Responsible for conducting in-depth analysis of complex datasets, deploying predictive models, applying optimization techniques, designing decision support systems, analyzing experiments, collaborating with cross-functional teams, staying abreast of advancements, and assessing the impact of data-driven decisions.</p><p><br>
Grade - T2</p><p></p><p>
Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date</p><p></p><p><b>
What your main responsibilities are:</b></p><p>
1. Conduct in-depth analysis of complex data sets to uncover actionable insights and trends.<br>
2. Develop and deploy predictive models to forecast business outcomes and support decision-making processes.<br>
3. Apply optimization techniques to improve business processes and resource allocation.<br>
4. Design and implement decision support systems that enable stakeholders to make data-driven decisions.<br>
5. Design and analyze experiments to evaluate the effectiveness of business strategies and interventions.<br>
6. Collaborate with cross-functional teams and stakeholders to understand business requirements and priorities.<br>
7. Stay abreast of advancements in data science, machine learning, and decision science to enhance analytical capabilities.<br>
8. Assess the impact of data-driven decisions on key business metrics and outcomes and iterate on models and strategies accordingly.</p><div><br>
Education: Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Master's degree or PhD is preferred.<br>
<br>
Relevant work experience in decision science based on the following number of years:<br>
Standard I: Two (2) years<br>
Standard II: Three (3) years<br>
Senior I: Four (4) years<br>
Senior II: Five (5) years<br>
<br>
Knowledge, Skills and Abilities<br>
<ul><li>Fluency in English</li><li>Analytical Skills</li><li>Accuracy &amp; Attention to Detail</li><li>Numerical Skills</li><li>Planning &amp; Organizing Skills</li><li>Presentation Skills</li><li>Statistical and Mathematical Knowledge</li><li>Data Modeling and Visualization Skills</li><li>Programming Skills</li></ul></div><p><br>
FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone.</p><p>
All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances.</p><h2 class="jobSectionHeader"><b>
Our Company</b></h2><p>
FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World&rsquo;s Most Admired Companies by &quot;Fortune&quot; magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding.</p><h2 class="jobSectionHeader"><b>
Our Philosophy</b></h2><p>
The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company.</p><h2 class="jobSectionHeader"><b>
Our Culture</b></h2><p>
Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970&rsquo;s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today&rsquo;s global marketplace.</p></div><p></p>

CRED

<div><div><div>Prefr (a brand under Dreamplug Technologies Pvt. Ltd.) is a tech-first fintech platform reshaping how India&rsquo;s digital-first generation experiences credit. we currently offer instant personal loans from ₹50,000 to ₹5,00,000 through a seamless, end-to-end digital journey &mdash; serving India&rsquo;s creditworthy yet underserved segments, in partnership with RBI-approved top-tier financial institutions. our mission to become the largest platform for delivering fast, transparent and trusted credit for the millions - by bringing together distribution depth, AI-driven intelligence &amp; multi-lender access.</div></div>
<div><div><h3 class="jobSectionHeader"><b>what will you do:</b></h3><ul><li><ul><li>
analyze multi-dimensional data to identify user patterns, emerging trends, and risk signals that inform lending and growth strategies</li><li>
develop and maintain churn and propensity models to detect disengaged users and recommend data-driven interventions that improve retention and product stickiness</li><li>
lead campaign analytics by building user segments and evaluating communication effectiveness, with a focus on improving targeting, engagement, and in-funnel conversion performance</li><li>
partner with product teams to guide feature development, using insights from cohort analysis, funnel diagnostics, and retention trends to improve user journeys and experience</li><li>
collaborate with cross-functional teams including product, risk, tech, compliance, and business to build and execute analytical solutions aligned with organizational priorities</li><li>
own the end-to-end execution of strategic analytical initiatives, from problem framing and hypothesis design to stakeholder communication and impact tracking</li><li>
support and mentor junior analysts, fostering analytical rigor and promoting best practices in data hygiene, modeling, and experimentation across the broader analytics team</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>you should apply if you:</b></h3><ul><li><ul><li>
have 4+ years of hands-on experience in data science or analytics roles, solving real-world business problems</li><li>
hold a bachelor's or master&rsquo;s degree in a quantitative field such as engineering, statistics, mathematics, or a related discipline</li><li>
have strong analytical skills with the ability to interpret diverse datasets and translate insights into solutions for specific business challenges</li><li>
have strong proficiency in python and/or SQL, with experience handling large datasets and working with distributed computing tools</li><li>
communicate effectively and enjoy collaborating with cross-functional teams, including product, business, and risk</li></ul></li></ul></div></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Ibotta

<div><div>Ibotta is seeking a Senior Decision Scientist, Client Analytics to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. The ideal candidate will have a proven track record of bringing actionable insights and analytics solutions to external clients. You will be leveraging data to build out new and innovative analytical products and capabilities, proactively identifying and communicating data-driven insights, presenting these findings to technical and non-technical external clients and internal teams. In partnership with the Client Analytics and Revenue leadership teams, you will also be responsible for defining and executing on our Client Analytics roadmap.</div><div></div><div>
This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States.</div><div></div><div>
What you will be doing:</div><ul><li><div>
Provide proactive, high-impact analytics insights to help Ibotta's most important clients</div></li><li><div>
Work in partnership with high-value client account teams to optimize client success on Ibotta platforms</div></li><li><div>
In collaboration with internal partners and Client Analytics leadership, own Ibotta&rsquo;s promotions and media measurement solutions by conceptualizing, designing, and providing external clients industry-leading and market-defensible methodologies that power Ibotta&rsquo;s measurement solutions; partner cross-functionally to build scalable solutions</div></li><li><div>
Regularly communicate with external clients to understand their business and program goals (especially around incremental revenue), present analytical results, insights and recommendations, and help them determine how Ibotta can be best leveraged to achieve their goals</div></li><li><div>
Research industry trends and standards to stay abreast of new developments; position Ibotta as a thought leader by combining your expertise with our incredible data asset to strategically deliver favorable marketing outcomes for advertisers</div></li><li><div>
Drive internal projects forward through planning, executing, and completing projects within an agreed upon timeline</div></li><li><div>
Uncover inefficiencies and bring forward analytics solutions to scale the business and better leverage our high-potential data asset</div></li><li><div>
Mentor junior colleagues of the Client Analytics team</div></li><li><div>
Embrace and uphold Ibotta&rsquo;s Core Values:<i> Integrity, Boldness, Ownership, Teamwork, Transparency, &amp; A good idea can come from anywhere</i></div></li></ul><div></div><div>
What we are looking for:</div><ul><li><div>
5+ years of experience in an analytical function</div></li><li><div>
Bachelor&rsquo;s degree in computer science/mathematics/statistics/data science required</div></li><li><div>
Detail oriented and having the mind set to question the data and draw inferences out of it</div></li><li><div>
Familiarity with industry-standard attribution and measurement models such as MMM and incrementality</div></li><li><div>
Proven decision science knowledge, skills, capabilities, etc.</div></li><li><div>
Significant experience creating a compelling client-facing story using data and insights</div></li><li><div>
Expert verbal communicator; an experienced presenter to internal &amp; external stakeholders</div></li><li><div>
Independent, self-starter who can successfully manage one's own time and multitask</div></li><li><div>
Client-facing experience is a nice to have; consulting background a strong plus</div></li><li><div>
Experience using modern data analysis, pipeline tools and BI Tools ( (e.g., SQL, Python, Git/GitHub, Looker, Tableau etc.)</div></li><li><div>
Experience in the CPG space is a nice to have</div></li></ul><div></div><div>
About Ibotta (&quot;I bought a...&quot;)</div><div></div><div>
Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop &ndash; all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine.</div><div></div><div>
To learn more about what our Tech teams are doing day to day, visit <div>Building Ibotta on Medium.com</div>.</div><div></div><div>
Additional Details:</div><ul><li><div>
This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks and occasional meals.</div></li><li><div>
Base compensation range: $97,000 - $118,000. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience.</div></li><li><div>
Ibotta is an Equal Opportunity Employer. Ibotta&rsquo;s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.</div></li><li><div>
Applicants must be currently authorized to work in the United States on a full-time basis.</div></li><li><div>
Applicants are accepted until the position is filled.</div></li><li><div>
For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.</div></li></ul><div></div><div>
Recruiting Agency Notice<br>
Ibotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees.</div><div></div><div>
#LI-Hybrid</div><div>
#BI-Hybrid</div></div><div></div>

Senior Decision Scientist, Client Analytics

Tesco

<div><b>About the role</b><br>
<div>
Lead solution scoping and development to drive Enterprise Analytics team&rsquo;s partnership with Business teams across Tesco to enable data driven decisions and deliver on organization's key strategic priorities</div>
<b>You will be responsible for</b><br>
<div>
Following our Business Code of Conduct and always acting with integrity and due diligence and have these specific risk responsibilities:</div><div></div><div><ul><li><br>
Represent Talent Acquisition in all forums/ seminars pertaining to process, compliance and audit</li><li>Perform other miscellaneous duties as required by management</li><li>Driving CI culture, implementing CI projects and innovation for withing the team</li></ul><div>
Engaging with business &amp; functional partners to understand business priorities, ask relevant questions and scope same into a analytical solution document calling out how application of data science will improve decision making</div><ul><li>In depth understanding of techniques to prepare the analytical data set leveraging multiple complex data set sources</li><li>Building Statistical models and ML algorithms with practitioner level competency</li><li>Writing structured, modularized &amp; codified algorithms using Continuous Improvement principles (development of knowledge assets and reusable modules on GitHub, Wiki, etc) with expert competency</li></ul><div>
- Building easy visualization layer on top of the algorithms in order to empower end-users to take decisions - this could be on a visualization platform (Tableau / Python) or through a recommendation set through PPTs</div><ul><li>Proactively driving consumption of solutions developed by the team and owning the initiative to identify and address areas of improvement in the larger Tesco business</li><li>Keeping up-to-date with the latest in data science and retail analytics and disseminating the knowledge among colleagues</li><li>Mentoring and leading a small team of Applied Data Scientists to deliver high impact analytics projects</li></ul></div>
<b>You will need</b><br>
<div>
Operational skills relevant for this job:</div><div><ul><li>Applied Math: Applied Statistics, Design of Experiments, Regression, Decision Trees, Forecasting, Optimization algorithms, Clustering, NLP</li><li>Tech: SQL, Hadoop, Spark, Python, Tableau, MS Excel, MS Powerpoint, GitHub</li><li>Business: Basic understanding of Retail domain</li><li>Soft Skill: Analytical Thinking &amp; Problem solving, Storyboarding, Stakeholder engagement,Leading team</li></ul></div><div></div><div><br>
Experience relevant for this job:<br>
<ul><li>5+ year's experience in data science application in</li></ul><div>
and delivering analytics solutions in industries such as retail, consumer packaged goods (CPG), telecom, or hospitality preferred.</div><ul><li>Exposure to functional areas like marketing, supply chain, customer analytics, merchandising, operations, finance, or digital analytics.</li></ul></div>
<b>Whats in it for you?</b><br>
<div>
At Tesco, we are committed to providing the best for you.</div>
<div></div>
<div>As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day.</div>
<div></div>
<div>Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits.
</div>
<div></div><div>Total Rewards offered at Tesco is determined by four principles - simple, fair, competitive, and sustainable.</div>
<div></div>
<div><b>Salary</b> - Your fixed pay is the guaranteed pay as per your contract of employment.</div>
<div></div>
<div><b>Performance Bonus</b> - Opportunity to earn additional compensation bonus based on performance, paid annually</div>
<div></div>
<div><b>Leave &amp; Time-off </b>- Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company&rsquo;s policy.</div>
<div></div>
<div><b>Making Retirement Tension-FreeSalary</b> - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF.</div>
<div></div>
<div><b>Health is Wealth</b> - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws.</div>
<div></div>
<div><b>Mental Wellbeing</b> - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents.
</div>
<div></div><div><b>Financial Wellbeing</b> - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request.
</div>
<div></div><div><b>Save As You Earn (SAYE)</b> - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan.
</div>
<div></div><div><b>Physical Wellbeing</b> - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle.</div>
<b>About Us</b><br>
<div>
At Tesco, inclusion is at the heart of everything we do. We believe in treating everyone fairly and with respect, valuing individuality and uniqueness to create a true sense of belonging. Diversity and inclusion are deeply embedded in our values&mdash;we treat people how they want to be treated. Our goal is for all colleagues to feel they can be themselves at work, and we are committed to helping them thrive. Across the Tesco group, we are building an inclusive workplace that actively celebrates the cultures, personalities, and preferences of our colleagues, who in turn contribute to the success of our business and reflect the diversity of the communities we serve.</div>
<div></div>
<div> At Tesco Bengaluru, we are proud to be a Disability Confident Committed Employer, highlighting our commitment to creating a supportive environment for individuals with disabilities. We are dedicated to offering equal opportunities for all candidates and encourage applicants with disabilities to apply. Our recruitment process is fully accessible, and we are happy to provide reasonable adjustments during interviews. If you need any accommodations to participate in the recruitment process, please let us know. We are here to ensure that everyone has the chance to succeed.</div>
<div></div>
<div> We also believe in fostering a work environment where you can excel both professionally and personally. Our hybrid model allows you to work flexibly&mdash;spend 60% of your week collaborating in person with colleagues at our office locations or local sites, and the rest of the time working remotely. We understand that everyone&rsquo;s life journey is unique, whether you are starting your career, pursuing passions, or navigating life changes, and we are here to support you. Flexibility is a core part of our culture, and we encourage open conversations about how we can best accommodate your needs, so talk to us throughout your application process on the support required.</div></div>

Lead Decision Scientist

OpenAI

Careers
<br><br>
Data Scientist, Marketing Innovation
<br><br>
Data Science - San Francisco
<br><br>
About the Role
<br><br>
We’re hiring a Data Scientist to support our Marketing Innovation pod, a cross-functional team building the internal tools and agentic systems that fundamentally change how we do marketing and serve customers.
<br><br>
<b>We build product-like systems that:</b><br>
Deliver high-touch, consultative experiences to millions of SMB customers through agentic lifecycle and sales experiences
<br><br>
Adapt messaging, creative, and outreach using real-time behavioral signals
<br><br>
Power intelligent routing, targeting, and engagement decisions at scale, with minimal human-in-the-loop
<br><br>
In this role, you’ll be embedded with Product and Engineering to ensure these systems drive measurable business outcomes.
<br><br>
What You’ll Do
<br><br>
Define success metrics for agentic marketing systems (e.g., incremental pipeline generated, conversion lift, rep hours saved), including leading indicators that enable weekly iteration.
<br><br>
Design measurement and experimentation frameworks for always-on systems across lifecycle automation, creative generation, targeting, and routing — using holdouts, staged rollouts, and quasi-experimental methods when needed.
<br><br>
Partner with PMs and engineers to instrument, evaluate, and monitor launches so every meaningful release has observability and a credible read on incremental value.
<br><br>
<b>Translate behavioral and model-driven signals into decisions:</b> what to scale, where to intervene, and how to allocate human and compute attention across segments.
<br><br>
Build repeatable decision loops (pre-launch criteria → post-launch read → next action) that convert analysis into shipped changes.
<br><br>
What We’re Looking For
<br><br>
10+ years in a quantitative role (e.g., Data Science, Decision Science), ideally at a product-led company supporting B2B growth, with exposure to SMB or scaled self-serve motions.
<br><br>
Deep grounding in experimentation, causal inference, and applied statistics, with experience designing and interpreting tests in real-world, always-on environments.
<br><br>
Strong technical fluency in SQL and Python, including working directly with messy, incomplete behavioral data to quantify impact.
<br><br>
Proven track record of translating results into shipped decisions (product, lifecycle, targeting, routing).
<br><br>
<b>Strong business judgment and a bias toward action:</b> able to scope ambiguous problems, define success, and move quickly from insight to strategy.
<br><br>
Excellent communicator and partner to PMs/Engineers; comfortable influencing stakeholders and presenting recommendations to senior leadership.
<br><br>
Nice to Have
<br><br>
Familiarity with large language models and AI-assisted operations platforms
<br><br>
Experience working on operational automation and decision systems (routing, prioritization, optimization)
<br><br>
Experience operating in early-stage or rapidly evolving environments, including building measurement and experimentation frameworks from scratch.
<br><br>
About OpenAI
<br><br>
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
<br><br>
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
<br><br>
For additional information, please see
<br><br>
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
<br><br>
.
<br><br>
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
<br><br>
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
<br><br>
this form
<br><br>
. No response will be provided to inquiries unrelated to job posting compliance.
<br><br>
We are committed to providing reasonable accommodations to applicants with disabilities.
<br><br>
OpenAI Global Applicant Privacy Policy
<br><br>
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
<br><br>
Compensation
<br><br>
$293K – $325K + Offers Equity

Data Scientist, Marketing Innovation

American Express

<div><p>At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.</p><p>
As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.</p><p><b>
How will you make an impact in this role?</b></p><div>
Responsible for contacting clients with overdue accounts to secure the settlement of the account. Also they<br>
do preventive work to avoid future overdues with accounts that have a high exposure.<br>
Responsibilities<br>
<ul><li>Support analytics for offer strategy, personalization (PZN), CMV, and lending/growth treatments</li></ul>
(Loans, Line, Pricing).<br>
<ul><li>Leverage closed-loop Amex data to improve targeting, arbitration, and decisioning.</li><li>Conduct CMV, performance, and Test &amp; Learn analyses to inform marketing and growth decisions.</li><li>Build and maintain dashboards and analytical outputs; synthesize insights for business partners.</li><li>Partner with Marketing, Decision Science, Finance, and Technology teams to support execution and</li></ul>
optimization.<br>
Critical Factors to Success<br>
<ul><li>Business Outcomes</li><li>Apply and support Customer Value Metrics (CMV / iCMV) across offers and lending.</li><li>Enable data-driven targeting and segmentation decisions.</li><li>Support measurement and experimentation to assess campaign effectiveness.</li><li>Contribute to analytics that drive engagement, retention, and growth.</li><li>Leadership Outcomes</li><li>Demonstrate enterprise mindset, learning agility, and analytical curiosity.</li><li>Communicate insights clearly and operate with integrity and a digital mindset.</li></ul>
Experience<br>
<ul><li>1&ndash;2 years of experience in analytics, marketing analytics, decision science, or a related quantitative</li></ul>
role.<br>
Education<br>
<ul><li>Bachelor&rsquo;s degree in Statistics, Mathematics, Economics, Engineering, or a related field (advanced</li></ul>
degree a plus).<br>
Technical / Functional Skills<br>
<ul><li>Proficiency in SQL, Python, and PySpark; exposure to BigQuery preferred.</li><li>Familiarity with A/B testing and basic experimentation concepts.</li><li>Exposure to machine learning techniques (e.g., regression, trees, clustering).</li><li>Familiarity with GenAI tools for analysis and productivity; agentic AI exposure is a plus.</li><li>Experience working in big-data / cloud environments</li></ul></div><br>
<p></p>
<p>
We 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:</p><ul><li>
Competitive base salaries</li><li>
Bonus incentives</li><li>
Support for financial-well-being and retirement</li><li>
Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)</li><li>
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need</li><li>
Generous paid parental leave policies (depending on your location)</li><li>
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)</li><li>
Free and confidential counseling support through our Healthy Minds program</li><li>
Career development and training opportunities</li></ul><p>
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.</p><p>
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.</p></div>

Analyst-Data Analytics

Search 8727+ Decision scientist jobs near you this March. New roles added regularly across leading industries. Apply today.

8727 decision scientist jobs Near Me

Decision Scientist I

Decision Scientist I

decision scientist

Senior Decision Scientist, Client Analytics

Lead Decision Scientist

Data Scientist, Marketing Innovation

Analyst-Data Analytics