Digital Turbine is a technology company that has built a platform that “accelerates mobile growth and consumer engagement” for its clients. As an employer,
Principal Data Scientist
Location
Texas + 1 moreAll locations: Texas | New York
Posted
53 days ago
Salary
0
Seniority
Senior
Job Description
Principal Data Scientist
Digital Turbine
Title: Principal Data Scientist Locations: United States - New York United States - Austin time type Full time job requisition id JR100935 At Digital Turbine, we make mobile advertising experiences more meaningful and rewarding for users, app publishers, and advertisers — intelligently connecting people in more ways, across more devices. We provide app publishers and advertisers with powerful ads and experiences that captivate consumers, fuel performance, and help telecoms and OEMs supercharge awareness, acquisition, and monetization. In a rapidly evolving industry, we are constantly innovating and creating better paths of discovery to connect consumers, publishers, and advertisers across the mobile ecosystem. Please note that Digital Turbine is a hybrid work environment-only candidates local to the posting location will be considered. Data Science at Digital Turbine mixes deep technical expertise with creativity in one of the most dynamic domains: mobile advertising Our platforms operate at global scale, where even a small improvement in model performance can translate into outsized revenue gains and better user experiences Principal Data Scientists shape the long‑term modeling strategy, lead high‑impact initiatives, and define the standards for data science excellence across the company At Digital Turbine, we make mobile advertising experiences more meaningful and rewarding for users, app publishers, and advertisers — intelligently connecting people in more ways, across more devices We help mobile game developers and app publishers grow and monetize their user bases using cutting‑edge machine learning and data‑driven optimization Please note that Digital Turbine is a hybrid work environment—only candidates local to the specified office locations will be considered About the Principal Data Scientist - Acts as a top‑level expert and thought leader in data science, responsible for strategic direction of modeling and experimentation in key product areas - Tackles problems of the highest complexity and impact, where solutions require inventing or significantly extending current approaches - Defines methodologies, standards, and frameworks that are adopted by data science teams company‑wide - Bridges technical depth with business acumen to influence product strategy and company‑level decisions - Exercises expert judgment in selecting and creating analytical approaches, often in areas with limited precedent or ambiguous requirements - Operates with substantial independence; work is primarily reviewed in terms of long‑term impact and alignment with business strategy - Serves as a trusted advisor to senior leaders across Product, Engineering, and the business, frequently shaping roadmaps and strategic priorities - Mentors Senior and Lead Data Scientists, building capabilities, reviewing critical work, and setting the bar for scientific rigor and impact - Communicates complex statistical and machine learning concepts in a clear, compelling way to audiences ranging from engineers to executives - Define the long‑term modeling strategy for core areas such as user lifetime value prediction, recommendation and personalization, real‑time bidding and pricing, fraud detection, and creative optimization - Lead the design and development of novel machine learning and statistical approaches, including probabilistic graphical models, Bayesian methods, deep learning architectures, and advanced decisioning systems - Architect end‑to‑end data science solutions, from problem framing and feature strategy through model training, evaluation, deployment, and monitoring in collaboration with Data Engineering and Product Engineering - Establish and evolve experimentation and causal inference frameworks (eg, A/B testing, multi‑armed bandits, uplift modeling) to robustly measure the impact of product and policy changes - Drive high‑visibility, cross‑functional initiatives that leverage data science to unlock new product capabilities or revenue streams, often spanning multiple teams and business units - Set best practices and standards for modeling, code quality, documentation, reproducibility, and ethical AI considerations - Identify and prioritize new data sources and signals that can materially improve model performance or unlock new use cases - Represent Digital Turbine’s data science capabilities externally as needed (eg, technical talks, publications, partner discussions), in alignment with company strategy - Proven hands-on experience operating within a marketplace adtech environment — spanning demand-side optimization, supply monetization, and data pipeline architecture at scale - Direct ownership of systems or products that sit across the full adtech stack: bidding infrastructure, yield management, audience data, and measurement About you as the Principal Data Scientist: - Typically requires 12+ years of related experience - Deep, demonstrable expertise in machine learning and statistics, including several of the following: forecasting, large‑scale recommendation systems, information retrieval, probabilistic graphical models, Bayesian inference, causal inference, and deep learning - Extensive experience developing and deploying production machine learning systems at scale, including both batch and real‑time/online models - Strong software engineering skills and demonstrated experience building production‑quality ML code and pipelines (version control, testing, CI/CD) - Proficiency in Python (or similar) for data science and strong SQL skills; experience with major ML and numerical libraries (eg, PyTorch, TensorFlow, JAX, scikit‑learn) - Solid understanding of big data ecosystems (Spark, Hadoop, Databricks, BigQuery, etc) and experience working in modern cloud environments (AWS, GCP, or Azure) - Proven track record of driving significant business impact through data science initiatives, with examples of leading projects from concept through production and measurable outcomes - Strong leadership, collaboration, and influence skills, with experience guiding other data scientists and partnering with senior cross‑functional stakeholders - Ability to synthesize complex technical and business information into clear recommendations and to shape product and platform roadmaps through data‑driven insights About Digital Turbine: Digital Turbine (NASDAQ: APPS) powers superior mobile consumer experiences and results for the world’s leading telcos, advertisers and publishers. Our end-to-end platform uniquely simplifies the ability to supercharge awareness, acquisition and monetization — connecting our partners to more consumers, in more ways, across more devices. The company is headquartered in Austin, Texas, with global offices in New York, Los Angeles, San Francisco, London, Berlin, Singapore, Tel Aviv, and other cities around the world, serving top agency, app developer, and advertising markets. We are honored to have achieved numerous awards as an employer of choice, around the world, including: BuiltIn's Best Places to Work Awards in 2022, 2023 and 2024, DUNS 100 Best Places to Work in Tech for 2023 and 2024, and BDICode's 100 Best Companies to Work in 2024. Digital Turbine is an equal opportunity employer committed to exemplifying diversity and inclusion around the world. We welcome people of different backgrounds, experiences, abilities, and perspectives. We embed diversity in our mindset, products, and teams to empower an inclusive, equitable, and culturally fluent environment. Building and continuously fostering this culture within our teams makes us better collaborators, partners, and innovators.
Related Guides
Related Categories
Related Job Pages
More Data Scientist Jobs
About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide - including Brex, Rippling, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero-to-one ideas into real products, and you "get stuff done" end-to-end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high-visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next. About the team We're looking for talented Data Scientist who can push the boundaries of our existing models and help design state-of-the-art solutions to GTM challenges that accelerate revenue growth and improve commercial efficiency. In this role, you'll partner closely with Product, Growth, and Commercial teams to shape and build the next-generation data science foundation at Airwallex. This role is ideal for someone who takes meaningful ownership from day one-someone who digs deeply into data to understand why outcomes change (not just what changed), balancing analytical rigor with speed and business context-and then leverages AI to translate those insights into scalable models and solid data foundations. Learn more about the data science team in this blog. This role is based in Singapore. Responsibilities: - Translate complexity into action: Turn complex statistical and modeling results into clear, compelling, and actionable narratives for cross-functional partners and executive audiences. - Uncover and scale revenue insights: Lead proactive, exploratory analyses to identify latent revenue levers, emerging trends, and root causes behind shifts in key GTM metrics-and operationalize these learnings into repeatable workflows, automated pipelines, and scalable data science operating models. - Build revenue forecasting and performance insights: Develop and own revenue forecasting and forward-looking performance insights (e.g., pipeline health, conversion and retention drivers, scenario planning), providing a reliable "source of truth" that helps teams make faster, better commercial decisions. - Apply advanced causal inference: Use advanced observational causal inference methods (e.g., DiD, synthetic control, DoubleML) to estimate impact and inform decisions when randomized experiments are infeasible. - Embed AI into commercial workflows: Design and deploy AI-enabled solutions across the sales and customer lifecycle-enhancing sales calls and coaching, improving sales effectiveness, and generating proactive, transaction-based customer insights to drive retention and expansion. Who you are We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory. Minimum qualifications: - 5+ years of industry experience and an advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics, or a related discipline). - Strong analytical intuition and structured problem-solving-you ask the right questions, explore data thoughtfully, and synthesize clear, defensible conclusions. - Excellent communicator and storyteller-able to translate technical work into crisp, actionable recommendations for both technical and non-technical stakeholders, including executives. - Deep curiosity about GTM performance and customer behavior-you go beyond "what happened" to understand "why it happened," while staying pragmatic and focused on impact. - Strong foundations in causal inference and forecasting, with experience applying methods such as DiD, synthetic control, and modern ML-based approaches to real business problems. - High fluency in analytics tooling-strong SQL skills and proficiency in Python and/or R for analysis, modeling, and automation. Preferred qualifications: - Experience with Databricks or similar cloud data platforms / warehouses. - Familiarity with Hex or other notebook-based analysis tools. - Experience in a high-growth startup and/or B2B business models (e.g., pipeline, CRM, RevOps data). #singapore Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.
Data Scientist Analyst
FoundeverFoundever describes itself as a global leader in the customer experience (CX) industry. The company is on a mission to be the team and the solution behind the best customer experie
Role Description We are seeking a skilled Junior Data Scientist with solid Python programming and analytical capabilities to support data-driven initiatives and infrastructure setup across projects. The ideal candidate will be responsible for: - Configuring Azure environments - Maintaining Python-based automation and analytics solutions - Delivering actionable insights through data analysis This role requires collaboration with cross-functional teams and an understanding of operational environments, particularly within BPO or call center settings. The successful candidate will leverage Python libraries such as Pandas, NumPy, and Scikit-learn to process and analyze data, while ensuring Azure environments are configured according to best practices and security standards. In addition, the role involves: - Identifying operational improvement opportunities - Contributing to workflow enhancements within BPO environments Qualifications - Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field (preferred) - Minimum 2 years of experience in data science, data analysis, or a related field - Fluent English (B2 Level) is essential, plus either French, German, or Spanish is a plus - Conversant with Agentic AI concepts Requirements - Experience with Python, data manipulation, and machine learning - Strong analytical skills with a proven track record of delivering high-quality results - Understanding of statistical methods and some knowledge of machine learning algorithms - Experience working in a BPO or call center environment, either directly or as a support function - Familiarity with Azure services and best practices for setting up and configuring environments (preferred) - Excellent communication skills to effectively collaborate with cross-functional teams and stakeholders - Ability to identify and resolve complex technical issues efficiently Benefits - Competitive compensation package - Excellent learning and development opportunities - Growth opportunities within an expanding team - Fully remote working available (EMEA/APAC/LATAM)
Role Description We are seeking a talented and analytical Data Scientist to turn data into actionable insights that drive business decisions. The ideal candidate will have a strong foundation in statistics, machine learning, and data analysis, with the ability to work across large datasets to uncover trends and build predictive models. This role requires both technical expertise and business acumen in a fully remote environment. - Analyze structured and unstructured data to identify trends, patterns, and insights - Develop, train, and deploy machine learning models - Perform data cleaning, preprocessing, and feature engineering - Build predictive and prescriptive models to support business objectives - Collaborate with cross-functional teams to define data-driven solutions - Visualize data and present findings to stakeholders - Evaluate model performance and continuously optimize algorithms - Work with large datasets using tools such as SQL, Python, or R - Maintain documentation for models, datasets, and processes - Stay updated on emerging trends in data science and AI Qualifications - Must be currently residing in the United States - Valid U.S. work authorization (citizen, permanent resident, or authorized work permit holder) - Proven experience as a Data Scientist or similar role - Strong proficiency in Python or R - Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) - Solid understanding of statistics, probability, and data modeling - Experience with SQL and data manipulation - Strong analytical and problem-solving skills - Excellent communication and presentation abilities Requirements - Degree in Data Science, Computer Science, Statistics, or a related field - Experience with big data technologies (e.g., Spark, Hadoop) - Familiarity with cloud platforms (AWS, Azure, or Google Cloud) - Experience with data visualization tools (Tableau, Power BI) - Knowledge of MLOps practices and model deployment Work Environment - Fully remote role with flexible scheduling options - Must be available to work within U.S. business hours - Collaboration with distributed teams and stakeholders Benefits - Opportunity for long-term engagement or full-time conversion (if applicable) - Professional development and certification support
Role Description Autodesk is seeking a Senior Data Scientist to join the Data Science & Analytics team within our Go-to-Market Data Intelligence organization. This team develops data products, predictive models, machine learning products, and applied AI solutions that help Autodesk better understand customers and improve go-to-market decisions across the customer lifecycle. In this role, you will apply machine learning, statistical methods, and practical AI techniques to complex business problems with meaningful impact. You will work across complex, real-world datasets, develop and improve models, and partner with cross-functional stakeholders to turn data into scalable products and business insights. This role is well suited for a strong individual contributor who brings deep technical judgment, thrives in ambiguity, and can guide high-impact work across multiple efforts. - Design, develop, validate, and improve data science models and products. - Participate in stakeholder planning sessions to gather context on ambiguous business challenges, and recommend data science modeling approaches that can drive business impact. - Define customer and business value metrics, evaluation approaches, and validation criteria for models and products, including in situations with imperfect or incomplete data. - Use SQL to transform complex data and build scalable datasets for modeling and analysis. - Work with the machine learning engineering team to develop, validate, and deploy machine learning and AI products. - Collaborate with product owners and other stakeholders to shape new data product ideas or enhancements. - Develop technical design and architecture documentation for data science and AI products. - Help drive technical direction, working alongside engineering and product owners to navigate tradeoffs and execution decisions. - Manage priorities across multiple projects, including helping shape tradeoffs and cross-functional team priorities. - Become an expert in Autodesk data - recommend approaches to make reusable features and data products that can be leveraged to ensure data science products are built on trusted, stable and scalable foundations. - Communicate analyses, model performance, methodology, and recommendations clearly to technical and non-technical audiences. Qualifications - 5+ years of experience and a graduate degree in data science, computer science, statistics, or a related quantitative field. - Advanced Python and SQL skills, including experience working with large-scale data warehouses. - Experience leading end-to-end development of machine learning models, data science products, or advanced analytical solutions in a business environment. - Strong communication skills and the ability to explain technical concepts, decisions, and tradeoffs to different audiences. Requirements - Familiarity with go-to-market data such as Salesforce, financial metrics, or product usage and engagement data. - Experience using AI productivity and coding tools. Benefits - Salary is one part of Autodesk’s competitive compensation package. - For Canada based roles, we expect a starting base salary between $0 and $0. Offers are based on the candidate’s experience and geographic location, and may exceed this range. - In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Company Description Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
