staff data scientist

Keystone AI

<div>
 <strong>
  About Keystone AI
  <br/>
  <br/>
 </strong>
 For more than two decades, Keystone AI has been a premier, tech-forward strategy and economics consulting firm, helping leading technology companies, global brands, and top law firms solve their most complex challenges in competition, strategy, and regulation.
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 Our founders believed that modern consulting should integrate economics, strategy, and technology to drive true digital transformation and business model innovation. That&rsquo;s what we call our &ldquo;Triad of Skills." Keystone brings this interdisciplinary approach to the forefront of influential technology cases, changing consumer behavior and regulation laws and impacting society on a global scale, by leveraging the intersection of economics, technology, and business strategy to deliver transformative ideas.
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 As we rapidly expand globally, we are redefining what a consulting firm can be.
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 <strong>
  Economic, Technology, and Strategy Advisory (ETSA)
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 </strong>
 Keystone&rsquo;s practices sit within our Economic, Technology, and Strategy Advisory (ETSA) group, which provides expert guidance across high-stakes business, legal, and technology challenges.
 <br/>
 <br/>
 <strong>
  What We Do
  <br/>
  <br/>
 </strong>
 ETSA leverages Keystone's connections with leading industry and academic experts to solve complex legal and regulatory issues and win high-stakes legal cases. Through our Centres of Excellence in Keystone Economics and Keystone Advanced Technology Services, we unite economists, technologists and management scientists to solve the hardest problems facing our clients
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 <br/>
 <strong>
  How We Operate
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  <br/>
 </strong>
 Our tech-native, internal consultants bring unique insights and experience to evaluate and solve client issues. Our economic, industry, and tech experts carry out in-depth analysis, build robust data and technology solutions, and produce economic and technology reports that win cases.
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 <strong>
  Who We Serve
  <br/>
  <br/>
 </strong>
 Our ETSA group helps major law firms, Fortune Global 500 companies, leading technology companies, and government agencies.
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 <strong>
  Our practice areas
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Antitrust &amp; Competition
  </li>
  <li>
   Financial Economics, Tax, and Securities (FETS)
  </li>
  <li>
   Intellectual Property (IP)
  </li>
  <li>
   Information Strategy, Risk and Regulation (ISRR)
  </li>
  <li>
   Healthcare and Life Sciences
  </li>
  <li>
   Technical Investigations
  </li>
  <li>
   Behavioral Insights
  </li>
  <li>
   Strategy Consulting
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Staff Data Scientist
  <br/>
  <br/>
 </strong>
 As a Staff Data Scientist, you will be a senior member of the ETSA Technical Investigations practice, leading the design and application of advanced analytics and machine learning to high-impact client engagements. You will combine technical depth with business insight, guiding both the development of models and the interpretation of their results within complex regulatory and economic contexts.
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 <strong>
  Role Expectations
  <br/>
  <br/>
 </strong>
 <strong>
  You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead the design and implementation of analytical solutions, from data architecture to model deployment
  </li>
  <li>
   Apply statistical, econometric, and machine learning techniques to generate insights in areas such as AI risk, digital forensics, and competition analysis
  </li>
  <li>
   Build, test, and operationalize machine learning models, large language models (LLMs), and analytical pipelines that scale across projects
  </li>
  <li>
   Collaborate with consultants, economists, and legal experts to translate technical findings into strategic recommendations
  </li>
  <li>
   Serve as a technical advisor on engagements involving advanced data, AI, and digital transformation topics
  </li>
  <li>
   Mentor and guide junior engineers and data scientists in best practices for modeling, code development, and experimental design
  </li>
  <li>
   Contribute to the development of internal tools, libraries, and frameworks that enhance analytical consistency and scalability
  </li>
  <li>
   Engage in knowledge-building initiatives that strengthen Keystone&rsquo;s global AI and data science community
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Advanced graduate degree (PhD or Master&rsquo;s) in Computer Science, Engineering, Statistics, Applied Mathematics, or a related technical field
  </li>
  <li>
   At least 6+ years of professional experience in data science, machine learning, or applied analytics roles
  </li>
  <li>
   Deep understanding of AI/ML, NLP, and data science methodologies with experience applying them in real-world or regulated domains
  </li>
  <li>
   Strong proficiency in Python, R, SQL, and familiarity with modern data science ecosystems (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face, OpenAI API)
  </li>
  <li>
   Hands-on experience with cloud platforms (AWS, GCP, or Azure) and scalable data workflows (Airflow, dbt, Spark, BigQuery, Snowflake)
  </li>
  <li>
   Ability to manage multiple analytical workstreams and communicate complex findings clearly to technical and non-technical audiences
  </li>
  <li>
   Proven leadership in guiding diverse technical teams and driving innovation in data-driven problem solving
  </li>
  <li>
   A balance of technical excellence, intellectual curiosity, and entrepreneurial spirit suited to a fast-moving, global consulting environment Why Keystone AI
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Keystone AI
  <br/>
  <br/>
 </strong>
 Join a fast-growing, tech-enabled consulting firm that partners with the world&rsquo;s leading companies on their most critical challenges and biggest opportunities.
 <br/>
 <br/>
 <ul>
  <li>
   Work on frontier matters shaping the future of AI, data, and digital regulation
  </li>
  <li>
   Collaborate with leading academics and experts from institutions such as Harvard, Stanford, MIT, and Wharton
  </li>
  <li>
   Apply a unique blend of management science and computer science to real-world challenges across technology, litigation, policy, and strategy
  </li>
  <li>
   Thrive in a culture defined by collaboration, curiosity, and excellence - where your ideas have direct, tangible impact
   <br/>
   <br/>
  </li>
 </ul>
 Salary Range: Competitive with an annual discretionary bonus, pension contribution, and competitive benefits package. Actual compensation within the range will depend upon the level the individual is hired into based on their skills, experience, and qualifications.
 <br/>
 <br/>
 At Keystone we believe diversity matters. At every level of our firm, we seek to advance and promote diversity, foster an inclusive culture, and ensure our colleagues have a deep sense of respect and belonging. If you are interested in growing your career with colleagues from varied backgrounds and cultures, consider Keystone AI.
</div>


Staff Data Scientist

Securonix

<div><p>At Securonix, we&rsquo;re on a mission to secure the world by staying ahead of cyber threats, reinforcing all layers of our platform with AI capabilities. Our<b> Securonix Unified Defense SIEM</b> provides organizations with the first and only AI-Reinforced solution built with a cybersecurity mesh architecture on a highly scalable data cloud. Enhanced by <b>Securonix EON</b>&rsquo;s AI capabilities, our innovative cloud-native solution delivers a seamless CyberOps experience, empowering organizations to scale their security operations and keep up with evolving threats.</p><p></p><p><br>
Recognized as a<b> six-time leader</b> in the <b>Gartner Magic Quadrant for SIEM</b> and highly rated on <b>Gartner Peer Insights</b>, our award-winning Unified Defense SIEM provides organizations with 365 days of &lsquo;hot&rsquo; data for rapid search and investigation, threat content-as-a-service, proactive defense through continuous peer and partner collaboration, and a fully integrated <b>Threat Detection, Investigation, and Response (TDIR)</b> experience&mdash;all within a single platform. Built on a cloud-native architecture, the platform leverages the Snowflake Data Cloud for unparalleled scalability and performance.</p>
<p>
Securonix is proud to be a <b>cybersecurity unicorn </b>and featured in CRN's 2024 <b>Security 100 list.</b> Backed by <b>Vista Equity Partners</b>, one of the largest private equity firms with over $100 billion in assets under management, we have a unique advantage in driving innovation and growth. With a global footprint, we serve more than<b> 1,000 customers</b><br>
<b>worldwide</b>, including <b>10% of the Fortune 100.</b> Our network of <b>150+ partners</b> and Managed Security Service Providers (MSSPs) enables us to deliver unmatched security solutions on a global scale.</p><p></p><p><br>
At Securonix, we are driven by our core values and place our people at the heart of everything we do:</p><br>
<p></p><ul>
<li><b>
Winning as One Team:</b> We work together with universal respect to achieve aligned outcomes</li>
</ul><ul><li><b>Customer Driven Innovation:</b> We innovate to stay ahead of the market and create value for our customers</li>
</ul><ul><li><b>Agility in Action:</b> We embrace change and are unified in our purpose and objectives amidst change</li></ul><br>
<p></p>
<p>
Join us as we redefine cybersecurity, innovate fearlessly, and grow together as one team.</p><p></p><p><b><br>
About Us:</b></p><p><br>
Securonix delivers next-generation security analytics and operations management. We secure organizations worldwide by staying ahead of cyber threats, leveraging AI-reinforced capabilities for unparalleled protection.</p><p></p><p><b><br>
Job Overview:</b></p><p><br>
We&rsquo;re seeking a Staff Data Scientist to architect Agentic AI solutions and own the full ML lifecycle&mdash;from proof-of-concept to production. You&rsquo;ll operationalize LLMs, build Agentic workflows, implement MLOps best practices, and design multi-agent systems for cybersecurity tasks.</p><p></p><p><b><br>
Key Responsibilities:</b></p><br>
<ul>
<li>Operationalize large language models and Agentic workflows (LangChain, LangGraph, LlamaIndex, Crew.AI) to automate security decision-making and threat response.</li>
<li>Design, deploy, and maintain multi-agent AI systems for log analysis, anomaly detection, and incident response.</li>
<li>Build proof-of-concept GenAI solutions and evolve them into production-ready components on AWS (Bedrock, SageMaker, Lambda, EKS/ECS) using reusable best practices.</li>
<li>Implement CI/CD pipelines for model training, validation, and deployment with GitHub Actions, Jenkins, and AWS CodePipeline.</li>
<li>Manage model versioning with MLflow and DVC, set up automated testing, rollback procedures, and retraining workflows.</li>
<li>Automate cloud infrastructure provisioning with Terraform and develop REST APIs and microservices containerized with Docker and Kubernetes.</li>
<li>Monitor models and infrastructure through CloudWatch, Prometheus, and Grafana; analyze performance and optimize for cost and SLA compliance.</li>
<li>Collaborate with data scientists, application developers, and security analysts to integrate agentic AI into existing security workflows.</li></ul><br>
<p></p>
<p><b>
Qualifications:</b></p><br>
<p></p><ul>
<li>
Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, AI or related quantitative discipline.</li>
<li>6+ years of software development experience, including 3+ years building and deploying LLM-based/agentic AI architectures.</li>
<li>In-depth knowledge of generative AI fundamentals (LLMs, embeddings, vector databases, prompt engineering, RAG).</li>
<li>Hands-on experience with LangChain, LangGraph, LlamaIndex, Crew.AI or equivalent agentic frameworks.</li>
<li>Strong proficiency in Python and production-grade coding for data pipelines and AI workflows.</li>
<li>Deep MLOps knowledge: CI/CD for ML, model monitoring, automated retraining, and production-quality best practices.</li>
<li>Extensive AWS experience with Bedrock, SageMaker, Lambda, EKS/ECS, S3 (Athena, Glue, Snowflake preferred).</li>
<li>Infrastructure as Code skills with Terraform.</li>
<li>Experience building REST APIs, microservices, and containerization with Docker and Kubernetes.</li>
<li>Solid data science fundamentals: feature engineering, model evaluation, data ingestion.</li>
<li>Understanding of cybersecurity principles, SIEM data, and incident response.</li>
<li>Excellent communication skills for both technical and non-technical audiences.</li><br>
</ul>
<p><b>Preferred Qualifications:</b></p><br>
<p></p><ul>
<li>
AWS certifications (Solutions Architect, Developer Associate).</li>
<li>Experience with Model Context Protocol (MCP) and RAG integrations.</li>
<li>Familiarity with workflow orchestration tools (Apache Airflow).</li>
<li>Experience with time series analysis, anomaly detection, and machine learning.</li></ul><br>
<p></p>
<p><b>
Benefits:</b></p><p></p><p><br>
As a full-time employee with Securonix, you will be eligible for the following employee benefits:</p><br>
<p></p>
<ul>
<li>Health Insurance with a total sum insured is INR 7,50,000</li>
</ul><ul><li>Coverage: Self, Spouse, 2 kids, Dependent parents, or parents-in-law</li>
</ul><ul><li>Personal Accident with total sum insured is INR 10,00,000</li>
</ul><ul><li>Term Life Insurance with a sum assured for employees is 5 times the fixed base pay.</li></ul><br>
<p></p>
<p><i>
Securonix, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. Securonix complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, and transfer, leaves of absence, compensation and training.</i></p><p></p><p><i><br>
Securonix expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability or veteran status. Improper interference with the ability of Securonix employees to perform their expected job duties is absolutely not tolerated.</i></p></div>

PayPal

<div><p><b>The Company</b></p><p>
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.</p><p><br>
We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.</p><p><br>
We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.</p><p><br>
Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do &ndash; and they push us to ensure we take care of ourselves, each other, and our communities.</p>
<p>Job Description Summary: This job will design and implement advanced data science models to support business needs. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists.</p>
<p>Job Description:
</p><div><div><div><div><div><div><div><div><div><div><div><ul><li>Lead and manage data science projects, ensuring timely delivery and alignment with business goals.</li><li>
Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making.</li><li>
Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives.</li><li>
Collaborate with cross-functional teams to understand data needs and provide actionable insights.</li><li>
Ensure data quality and integrity through regular audits and validation processes.</li><li>
Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.</li></ul></div></div></div></div></div></div></div></div></div></div></div><div><div><div><div><div><div><div><div><div><div><b>
Expected Qualifications:</b><div><ul><li>
5+ years relevant experience and a Bachelor&rsquo;s degree OR Any equivalent combination of education and experience.</li></ul></div></div></div></div></div></div></div></div></div></div></div><p></p>
<p>Additional_Responsibilities_And_Preferred_Qualifications:
</p><p>Hands on coding experience in Python, SQL is a must<br>
Experience in fintech, payments and more specifically credit risk, compliance and underwriting is a plus<br>
Experience in leading agentic AI projects as a solution architect is a plus</p><p></p>
<p>PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.</p>
<p>For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.</p><p><b><br>
Our Benefits:</b></p><p>
At PayPal, we&rsquo;re committed to building an equitable and inclusive global economy. And we can&rsquo;t do this without our most important asset-you. That&rsquo;s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.</p><p>
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com<br>
</p><br>
<p><b>Who We Are:</b></p><p>
To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx<br>
</p><br>
<p><b>Commitment to Diversity and Inclusion</b></p><p>
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.</p>
<p><b>Belonging at PayPal:</b></p><p>
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.</p><p><br>
Any general requests for consideration of your skills, please Join our Talent Community.</p><p><br>
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don&rsquo;t hesitate to apply.</p></div>

InMobi

<div></div><div><div><div><b>InMobi Advertising</b> is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact.</div>
<div>
Through <b>Glance AI,</b> we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home d&eacute;cor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi&rsquo;s global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide.</div>
<div>
Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company&rsquo;s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond.</div>
<div>
At<b> InMobi Advertising</b>, you&rsquo;ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com</div>
</div><div></div><div><div><b>
Position Summary:</b><br>
We look for talented Data Scientists who can roll up their sleeves and have direct impact on our company metrics. The performance of our models and experiments are seen astonishingly quickly &ndash; the learning loop is not measured in weeks or days, but hours and minutes. We live in what might be the fastest model-learning playgrounds in the world. We have built an infrastructure that enables model deployment at both scale and speed. As data scientists, we sit alongside engineering colleagues who enable our models to deploy. Combine this with our growing variable set of hundreds of potential features (and growing!), and this is a highly fertile environment for building, experimenting, refining and achieving real impact from your models. If models fire, the bottom-line impact to our teams is immediate &ndash; you see the value of your work incredibly fast.</div>
<div><b>
Who Are You?</b></div>
<ul>
<div>Our scientists are expected to possess deep expertise and experience in Ad Tech, AI/ML, and Data Science, particularly at scale. Familiarity with big data processing and cloud computing will be critical to succeed in this environment.</div>
<div>In addition to possessing a mathematical aptitude (Statistics, Probability Theory, Algorithms, Foundations of Machine Learning), they need to be competent with data science languages and tools, such as Python or Apache Spark; which will enable them to design scalable solutions for our advertising products, implement proof-of-concept, and evaluate them offline and online. They will also need to work with other engineers to take these solutions to live production and drive real business value.</div>
<div>Most importantly, we look for a passion to investigate and learn about the world from data, to ask interesting and provocative questions, and be driven to put real models into production that drive real business value.</div>
<div>We are open to diverse academic backgrounds, providing an intent to think and problem-solve like a data scientist. Our team includes engineers, mathematicians, computer scientists, physicists, economists and social scientists &ndash; a rock-star data scientist can come from any academic field.</div>
</ul>
<div><b>Required:</b></div>
<ul>
<div>Master&rsquo;s in a quantitative field such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or Economics, Analytics, Data Science. Or Bachelor's from a reputed College with additional experience.</div>
<div>7-10 years of work experience in a quantitative field, with model building and validation experience.</div>
<div>Ad tech related industry experience is a plus. There, you would have applied algorithms and techniques from Machine Learning, Deep Learning and Statistics or other domains in solving real world problems and understand the practical issues of using these algorithms especially on large datasets.</div>
<div>Comfortable with software programming and statistical platforms such as R, Python etc. including visualization tools.</div>
<div>Comfortable with the big data ecosystem and Apache Spark. Familiarity with Microsoft Azure, AWS, or Google Cloud/Vertex AI will be a bonus.</div>
<div>Comfortable collaborating with cross-functional teams.</div>
<div>Familiarity with challenges of the identity-less world, particularly for iOS and Android</div>
<div>Excellent technical and business communication skills and should know how to present technical ideas in a simple manner to business counterparts.</div>
<div>Possess a high degree of curiosity and ability to rapidly learn new areas.</div></ul><br>
<div></div>
<div><b>
What will you do?</b></div>
<ul>
<div>You will be responsible for leading one or more data science efforts for inMobi DSP, a gold mine that is being explored for riches. This involves project ideation and conceptualization, solution design, measurement and solution iteration, coaching, deployment and post deployment management.</div>
<div>This will also include designing, development, testing of product experiments.</div>
<div>You are expected to be a hands-on part of the role where you will also actively analyse data, design and develop models, and solve problems with the rest of the team.</div>
</ul><ul><div>Additionally, stakeholder management is needed. It will involve being the interface with internal stakeholders such as our Product, Engineering, Data, Infrastructure, and Business teams.</div>
<div>Our team strives for thought leadership in the sector. We encourage and support all team members to write blogs, commentary and case studies published on the InMobi blog. We also support team members across our MLAI team to speak at industry conferences and represent InMobi&rsquo;s work.</div>
<div>You will learn how to design and build models for specific business problems. Even before that, you will be responsible for identifying the problem areas where AI can be applied to best business impact. You will learn to start a model design by anchoring in the business context and end user needs. You will learn how to connect model impact with real and measurable business impact.</div>
<div>You will work in a multi-functional team environment. You will collaborate and benefit from the skills of a diverse group of individuals from teams such as engineering, product, business, campaign management and creative development.</div>
<div>You will have the opportunity to experiment with multiple algorithms. Enduring learning comes from building, launching and reviewing performance of a particular algorithm; from asking why something worked or why it did not work; from asking how to tailor techniques to fit the problem at hand. We have an environment that makes this possible at speed.</div>
<div>Importantly, you will learn to become creative in designing models to be successful. Model design is not one-size-fits-all. Our models need to fit our particular problems and be modified to perform. Tougher problems require layers of models, and feedback mechanisms in a dynamic environment such as ours.</div>
<div>We are a company that innovates and demonstrates our thought leadership to the world, whether in products, research papers or conferences &ndash; there are many opportunities for you to shine.</div></ul></div><div></div><div><div><b><br>
The InMobi Culture</b></div>
<div>
At InMobi, culture isn&rsquo;t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences.</div>
<div>
We thrive on challenges and seize every opportunity for growth. Our core values &mdash; thinking big, being passionate, showing accountability, and taking ownership with freedom &mdash; guide us in every decision we make.</div>
<div>
We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program.</div>
<div>
InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace.</div>
<div>
Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!</div></div></div>

Staff Data Scientist I

<div></div><div><div><div><b>InMobi Advertising</b> is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact.</div>
<div>
Through <b>Glance AI,</b> we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home d&eacute;cor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi&rsquo;s global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide.</div>
<div>
Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company&rsquo;s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond.</div>
<div>
At<b> InMobi Advertising</b>, you&rsquo;ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com</div>
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Position Summary:</b><br>
We look for talented Data Scientists who can roll up their sleeves and have direct impact on our company metrics. The performance of our models and experiments are seen astonishingly quickly &ndash; the learning loop is not measured in weeks or days, but hours and minutes. We live in what might be the fastest model-learning playgrounds in the world. We have built an infrastructure that enables model deployment at both scale and speed. As data scientists, we sit alongside engineering colleagues who enable our models to deploy. Combine this with our growing variable set of hundreds of potential features (and growing!), and this is a highly fertile environment for building, experimenting, refining and achieving real impact from your models. If models fire, the bottom-line impact to our teams is immediate &ndash; you see the value of your work incredibly fast.</div>
<div><b>
Who Are You?</b></div>
<ul>
<div>Our scientists are expected to possess deep expertise and experience in Ad Tech, AI/ML, and Data Science, particularly at scale. Familiarity with big data processing and cloud computing will be critical to succeed in this environment.</div>
<div>In addition to possessing a mathematical aptitude (Statistics, Probability Theory, Algorithms, Foundations of Machine Learning), they need to be competent with data science languages and tools, such as Python or Apache Spark; which will enable them to design scalable solutions for our advertising products, implement proof-of-concept, and evaluate them offline and online. They will also need to work with other engineers to take these solutions to live production and drive real business value.</div>
<div>Most importantly, we look for a passion to investigate and learn about the world from data, to ask interesting and provocative questions, and be driven to put real models into production that drive real business value.</div>
<div>We are open to diverse academic backgrounds, providing an intent to think and problem-solve like a data scientist. Our team includes engineers, mathematicians, computer scientists, physicists, economists and social scientists &ndash; a rock-star data scientist can come from any academic field.</div>
</ul>
<div><b>Required:</b></div>
<ul>
<div>Master&rsquo;s in a quantitative field such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or Economics, Analytics, Data Science. Or Bachelor's from a reputed College with additional experience.</div>
<div>7-10 years of work experience in a quantitative field, with model building and validation experience.</div>
<div>Ad tech related industry experience is a plus. There, you would have applied algorithms and techniques from Machine Learning, Deep Learning and Statistics or other domains in solving real world problems and understand the practical issues of using these algorithms especially on large datasets.</div>
<div>Comfortable with software programming and statistical platforms such as R, Python etc. including visualization tools.</div>
<div>Comfortable with the big data ecosystem and Apache Spark. Familiarity with Microsoft Azure, AWS, or Google Cloud/Vertex AI will be a bonus.</div>
<div>Comfortable collaborating with cross-functional teams.</div>
<div>Familiarity with challenges of the identity-less world, particularly for iOS and Android</div>
<div>Excellent technical and business communication skills and should know how to present technical ideas in a simple manner to business counterparts.</div>
<div>Possess a high degree of curiosity and ability to rapidly learn new areas.</div>
<div>This position is based out of Lucknow, and the hired individual is expected to provide strong leadership qualities to work locally with both engineers and also provide guidance to other Data Scientists onsite. In short, we expect the individual to grow into a role model and be responsible for the deliverables end-to-end</div></ul><br>
<div></div>
<div><b>
What will you do?</b></div>
<ul>
<div>You will be responsible for leading one or more data science efforts for inMobi DSP, a gold mine that is being explored for riches. This involves project ideation and conceptualization, solution design, measurement and solution iteration, coaching, deployment and post deployment management.</div>
<div>This will also include designing, development, testing of product experiments.</div>
<div>You are expected to be a hands-on part of the role where you will also actively analyse data, design and develop models, and solve problems with the rest of the team.</div>
<div>Additionally, stakeholder management is needed. It will involve being the interface with internal stakeholders such as our Product, Engineering, Data, Infrastructure, and Business teams.</div>
<div>Our team strives for thought leadership in the sector. We encourage and support all team members to write blogs, commentary and case studies published on the InMobi blog. We also support team members across our MLAI team to speak at industry conferences and represent InMobi&rsquo;s work.</div>
<div>You will learn how to design and build models for specific business problems. Even before that, you will be responsible for identifying the problem areas where AI can be applied to best business impact. You will learn to start a model design by anchoring in the business context and end user needs. You will learn how to connect model impact with real and measurable business impact.</div>
<div>You will work in a multi-functional team environment. You will collaborate and benefit from the skills of a diverse group of individuals from teams such as engineering, product, business, campaign management and creative development.</div>
<div>You will have the opportunity to experiment with multiple algorithms. Enduring learning comes from building, launching and reviewing performance of a particular algorithm; from asking why something worked or why it did not work; from asking how to tailor techniques to fit the problem at hand. We have an environment that makes this possible at speed.</div>
<div>Importantly, you will learn to become creative in designing models to be successful. Model design is not one-size-fits-all. Our models need to fit our particular problems and be modified to perform. Tougher problems require layers of models, and feedback mechanisms in a dynamic environment such as ours.</div>
<div>We are a company that innovates and demonstrates our thought leadership to the world, whether in products, research papers or conferences &ndash; there are many opportunities for you to shine.</div>
</ul></div><div><div><b>
The InMobi Culture</b></div>
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At InMobi, culture isn&rsquo;t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences.</div>
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We thrive on challenges and seize every opportunity for growth. Our core values &mdash; thinking big, being passionate, showing accountability, and taking ownership with freedom &mdash; guide us in every decision we make.</div>
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We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program.</div>
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InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace.</div>
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Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!</div></div></div>

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Engineering), or equivalent practical experience.</li>
<li>8 years of experience in data analysis, statistical modeling, abuse detection/prevention, or a related field (e.g., search quality, data science).</li>
<li>Experience in data extraction, manipulation, and analysis using SQL and scripting languages (e.g., Python).</li>
<li>Experience with web technologies, search engine ecosystems, and common web abuse tactics.</li>
<li>Experience collaborating with engineering teams to design, develop, and launch technical solutions or algorithm improvements.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>12 years of experience in roles focused on abuse detection, anti-spam, search quality, or adversarial data analysis</li>
<li>Experience in designing and developing novel machine learning models and data pipelines for abuse fighting.</li>
<li>Experience influencing executive leadership and cross-functional teams on technical strategy and product direction, and drive multi-quarter roadmaps for investigative projects or anti-abuse efforts.</li>
<li>Experience in or understanding of the SEO industry and webmaster practices.</li>
<li>Experience in leading ambiguous, and cross-functional investigative projects from conception to impact.</li>
<li>Ability to contribute to the areas related to data science , machine learning, or abuse fighting.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
In this role, you will be at the forefront of protecting Google Search users from spam and harmful content. You will apply your investigative and technical skills to identify and prevent manipulative behavior, contribute to the development and enforcement of spam guidelines, and partner with engineering teams to enhance search ranking algorithms.
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You will have an understanding of data analysis, to develop innovative solutions and metrics, and a passion for improving the overall search experience. Your contributions will directly impact the quality and trustworthiness of Google Search for users worldwide.<br>
You will work with a team dedicated to maintaining a high-quality search experience, serving as a crucial line of defense against spam and manipulative practices, where a core priority is protecting users by ensuring search results are trustworthy and reliable, particularly as new technologies like AI create novel issues. You will identify, analyze, and mitigate various forms of spam across a broad range of search surfaces, leveraging both established techniques research.In Google Search, we're reimagining what it means to search for information &ndash; any way and anywhere. To do that, we need to solve engineering issues and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.<div></div><div><br>
The US base salary range for this full-time position is $221,000-$311,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</div><div></div><div><br>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Lead, manage, and develop a team of engineering analysts, defining and leading the direction for analyzing, detecting, and combating emerging and spam threats for Search.</li>
<li>Develop and advocate innovative investigative methodologies and frameworks to understand and measure the spam ecosystem, pioneering the use of advanced technologies (e.g., custom ML models, LLMs, graph analysis) for spam detection, measurement, and enforcement.</li>
<li>Serve as a technical expert on spam analysis, data exploitation, and anti-abuse techniques within Search.</li>
<li>Lead investigative components of anti-spam projects, often spanning multiple teams and systems, while maintaining deep expertise in the external Search Engine Optimization (SEO), tools, and tactics.</li>
<li>Represent the team's investigative capabilities and insights in technical and product reviews while advising and influencing executive leadership (Directors, VPs) and partner teams on anti-spam strategy, policy, and enforcement.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Staff Data Scientist Manager, Search

Outreach.io

<div><div><div><b>About Outreach</b></div><div></div><div><br>
Outreach, founded in 2014, is the only complete AI Revenue Workflow Platform that helps sales leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. Outreach infuses agentic AI to power 100s of use cases across sales motions. From new logo prospecting to renewal and expansion, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Global organizations use Outreach to power their revenue teams, including SAP, Siemens, Snowflake, ZoomInfo, and Verizon to name a few. To learn more, please visit www.outreach.io.</div><div></div><div><b><br>
About the Team</b></div><div></div><div><br>
Data is at the core of Outreach's strategy. It drives us and our customers to the highest levels of</div><div>
success. We use it for everything from customer health scores and revenue dashboards to</div><div>
operational metrics of our infrastructure, to helping increase product engagement and user</div><div>
productivity through natural language understanding, to predictive analytics and causal</div><div>
inference via experimentation. As our customer base continues to grow, we are looking towards</div><div>
new ways of leveraging our data to deeper understand our customers&rsquo; needs and deliver new</div><div>
products and features to help continuously improve their customer engagement workflows.</div><div></div><div><br>
The mission of the Data Science team is to enable such continuous optimization by</div><div>
reconstructing customer engagement workflows from data, developing metrics to measure the</div><div>
success and efficiency of these workflows, and providing tools to support the optimization of</div><div>
these workflows.</div><div></div><div><br>
As a member of the team, you will work closely with other data scientists, machine learning</div><div>
engineers, and application engineers to define and implement our strategy to deliver on our</div><div>
mission.</div></div>
<div><div><h3 class="jobSectionHeader"><b>Your Daily Adventures Will Include:</b></h3><ul><li><ul><li>
Design, implement, and improve machine learning Systems.</li><li>
Contribute to machine learning applications end to end, i.e. from research to prototype to production.</li><li>
Work with product managers, designers, and customers to define vision and strategy for a given product.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Our Vision of You:</b></h3><ul><li><ul><li>
A hybrid AI engineer who can navigate both sides with little help from others</li><li>
You understand the typical lifecycle of machine learning product development, from inception to production.</li><li>
You have experience in developing and deploying GenAI based applications.</li><li>
Experience with LangChain, LangGraph is a plus</li><li>
You have experience building microservices. Experience with Golang is a plus</li><li>
You have strong programming skills in at least one object-oriented programming language (Java, Scala, C++, Python, Golang, etc.)</li><li>
You have substantial experience with building and managing infrastructure for deploying and running ML models in production.</li><li>
You have experience working with distributed data processing frameworks such as Spark. Experience with Spark's MLlib, AWS, Databricks, MLFlow are a plus.</li><li>
You have knowledge in statistics and machine learning and have practical experience applying it to solve real-world problems.</li><li>
You are hands-on, able to quickly pick up new tools and languages, and excited about building things and experimenting.</li><li>
You go above and beyond to help your team.</li><li>
You should be able to work alongside experienced engineers, designers, and product managers to help deliver new customer-facing features and products.</li><li>
You have degree in Computer Science, Data Science, or a related field, and 7-10 years of industry or equivalent experience.</li></ul></li></ul></div></div>
<div><div><i>We&rsquo;re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.</i></div><div></div><div><b><i><br>
Our success is reliant on building teams that include people from different backgrounds and experiences who can elevate assumptions and ideas with fresh perspectives. We're dedicated to hiring the whole human, not just a resume. To that end, we look for a diverse pool of applicants-including those from historically marginalized groups. We would like to invite you to apply even if you don't think you meet all of the requirements listed below. We don't want a few lines in a job description to get between us and the opportunity to meet you.</i></b></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>

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