About KYFEX: KYFEX is a leading AI consulting firm, dedicated to harnessing the power of artificial intelligence to revolutionize business operations across the globe. Our expertise in Large Language Models (LLMs) positions us at the cutting edge of AI technology, enabling us to offer unparalleled solutions to our clients. As we continue to grow, we're seeking a talented Remote Staff Data Scientist to enhance our capabilities in the LLM for Insights and contribute to our mission of transforming data into actionable insights. Job Responsibilities: Lead the development and implementation of state-of-the-art language models using transformer architectures and reinforcement learning techniques. Conduct research and experimentation to improve model accuracy, efficiency, and scalability. Collaborate with cross-functional teams to integrate AI models into practical solutions for diverse business challenges. Utilize advanced data analytics and machine learning techniques to extract insights from large datasets. Stay abreast of the latest advancements in AI, machine learning, and data science, and evaluate their applicability to ongoing projects. Mentor junior data scientists and engineers, fostering a culture of innovation and continuous learning. Present findings and progress to stakeholders, translating complex technical details into actionable business insights. Minimum Requirements: Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Ph.D. preferred. 5+ years of experience in data science or AI research, with a focus on language modeling and reinforcement learning. Strong proficiency in Python and familiarity with AI/ML frameworks such as TensorFlow or PyTorch. Demonstrated experience with transformer models and NLP techniques. Solid understanding of reinforcement learning algorithms and their applications. Experience with large-scale data processing and analysis. Excellent problem-solving skills and the ability to work independently in a remote environment. Preferred Skills: Publications in relevant AI/ML conferences or journals. Experience with cloud computing platforms (AWS, Google Cloud, or Azure) for deploying AI models. Knowledge of data privacy and ethical AI principles. Proven track record of leading AI projects from conception to deployment. Exceptional communication skills, with the ability to mentor team members and collaborate effectively across teams. Why Join KYFEX? Work at the forefront of AI technology with a team of experts passionate about innovation. Enjoy the flexibility and benefits of a fully remote position. Engage in challenging and meaningful projects that have a real-world impact. Benefit from a culture of continuous learning, professional development, and collaborative achievement. To Apply: Interested candidates are invited to submit their resume, a cover letter detailing their experience with LLMs, and any relevant project samples or GitHub links to careers@kyfex.com with "Remote Staff Data Scientist Application" as the subject line. KYFEX is committed to diversity and inclusion and encourages applications from all qualified individuals, including those from diverse backgrounds and underrepresented groups.
About KYFEX: KYFEX is a leading AI consulting firm, dedicated to harnessing the power of artificial intelligence to revolutionize business operations across the globe. Our expertise in Large Language Models (LLMs) positions us at the cutting edge of AI technology, enabling us to offer unparalleled solutions to our clients. As we continue to grow, we're seeking a Remote Senior Software Engineer to join our innovative team and contribute to our cutting-edge projects. Job Responsibilities: Develop and implement advanced language models using transformer architectures. Apply reinforcement learning techniques to improve the performance and efficiency of AI models. Collaborate with AI researchers and data scientists to design and optimize AI solutions. Contribute to the entire model development lifecycle, from research and experimentation to deployment. Troubleshoot and improve existing AI models and architectures for enhanced performance. Stay updated on the latest AI research and technologies, incorporating them into KYFEX's solutions. Write clean, maintainable, and efficient code for various AI projects. Document development processes, model architectures, and evaluation metrics. Minimum Requirements: Bachelor’s degree in Computer Science, Artificial Intelligence, or related field. 5+ years of software engineering experience, with a strong background in AI and machine learning. Proficient in programming languages relevant to AI development, such as Python. Hands-on experience with transformer architectures and language modeling. Demonstrated knowledge and application of reinforcement learning techniques. Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch). Experience with deploying AI models in production environments. Strong problem-solving skills and ability to work independently. Preferred Skills: Master’s or Ph.D. in a relevant field. Experience with NLP (Natural Language Processing) and understanding of NLP data preprocessing techniques. Proficiency in working with large-scale datasets and distributed computing technologies. Knowledge of cloud computing platforms (AWS, Google Cloud, or Azure) for AI development and deployment. Excellent communication skills, with the ability to collaborate effectively in a remote team environment. Why Join KYFEX? Work at the forefront of AI technology with a team of experts passionate about innovation. Enjoy the flexibility and benefits of a fully remote position. Engage in challenging and meaningful projects that have a real-world impact. Benefit from a culture of continuous learning, professional development, and collaborative achievement. To Apply: Interested candidates are invited to submit their resume, a cover letter detailing their experience with LLMs, and any relevant project samples or GitHub links to careers@kyfex.com with "Remote Senior Software Engineer Application" as the subject line. KYFEX is committed to diversity and inclusion and encourages applications from all qualified individuals, including those from diverse backgrounds and underrepresented groups.
About KYFEX: KYFEX is a leading AI consulting firm, dedicated to harnessing the power of artificial intelligence to revolutionize business operations across the globe. Our expertise in Large Language Models (LLMs) positions us at the cutting edge of AI technology, enabling us to offer unparalleled solutions to our clients. As we continue to grow, we're seeking a skilled Remote LLM Engineer to join our dynamic team and contribute to our mission of driving innovation and excellence in AI. Job Responsibilities: Design, develop, and deploy advanced LLMs to meet the specific needs of our diverse client base. Collaborate with clients to understand their business challenges and tailor LLM solutions that provide strategic advantages. Stay abreast of developments in the field of LLMs and apply the latest research and techniques to our projects. Work closely with data scientists and engineers to integrate LLMs into broader AI solutions. Conduct thorough testing and validation to ensure the accuracy and reliability of LLM implementations. Optimize LLM performance for various computational environments, including cloud and edge computing platforms. Document all aspects of LLM development processes, including model architecture, training procedures, and deployment strategies. Provide technical guidance and support for LLM-related queries from clients and team members. Minimum Requirements: Bachelor's degree in Computer Science, AI, Linguistics, or a related technical field. 3+ years of hands-on experience in developing and deploying Large Language Models. Proficiency in Python, including experience with NLP libraries (e.g., Hugging Face Transformers, NLTK, spaCy). Strong understanding of neural network architectures, particularly those relevant to LLMs (e.g., Transformers). Demonstrated ability to work independently in a remote setting, managing projects from conception to completion. Excellent problem-solving skills and a detail-oriented mindset. Preferred Skills: Master's or Ph.D. in a relevant field. Experience with cloud services (AWS, Google Cloud, Azure) and ML deployment tools (Docker, Kubernetes). Familiarity with model fine-tuning and optimization techniques for LLMs. Proven track record of innovative solutions in the field of LLMs, evidenced by publications, patents, or software contributions. Strong communication skills, with the ability to explain complex AI concepts to non-expert audiences. Why Join KYFEX? Work at the forefront of AI technology with a team of experts passionate about innovation. Enjoy the flexibility and benefits of a fully remote position. Engage in challenging and meaningful projects that have a real-world impact. Benefit from a culture of continuous learning, professional development, and collaborative achievement. To Apply: Interested candidates are invited to submit their resume, a cover letter detailing their experience with LLMs, and any relevant project samples or GitHub links to careers@kyfex.com with "Remote LLM Engineer Application" as the subject line. KYFEX is committed to diversity and inclusion and encourages applications from all qualified individuals, including those from diverse backgrounds and underrepresented groups.
About KYFEX: KYFEX is a leading AI consulting firm, dedicated to harnessing the power of artificial intelligence to revolutionize business operations across the globe. Our expertise in Large Language Models (LLMs) positions us at the cutting edge of AI technology, enabling us to offer unparalleled solutions to our clients. As we continue to grow, we're seeking a skilled Remote Principal Data Engineer to lead our efforts in managing and optimizing data processes for LLM training. Job Responsibilities: Lead the design and implementation of scalable data pipelines for the training of open-source LLMs. Work closely with AI researchers and engineers to understand data requirements and ensure efficient data processing for AI model training. Develop and maintain robust data storage solutions, ensuring data integrity, security, and compliance. Optimize data retrieval and processing techniques to reduce training time and improve model performance. Implement monitoring, logging, and alert systems to ensure high availability and performance of data systems. Collaborate with cross-functional teams to integrate LLM solutions into client projects, providing expert advice on data engineering best practices. Stay abreast of the latest developments in data engineering and LLM technologies, continuously improving KYFEX’s data strategies. Minimum Requirements: Bachelor's degree in Computer Science, Engineering, or a related field. 5+ years of experience in data engineering, with a proven track record of building and managing large-scale data pipelines. Strong proficiency in programming languages such as Python or Scala. Extensive experience with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud services (AWS, Google Cloud, Azure). Demonstrated experience in data modeling, ETL development, and data warehousing. Knowledge of machine learning concepts and experience supporting data needs for AI/ML projects. Excellent problem-solving skills and the ability to work independently in a fully remote environment. Preferred Skills: Master’s degree or Ph.D. in a related field. Experience with open-source LLMs and understanding of NLP data processing. Familiarity with containerization and orchestration technologies (Docker, Kubernetes). Experience in implementing data security and privacy practices. Strong communication skills, with the ability to lead teams and collaborate effectively with stakeholders. Why Join KYFEX? Work at the forefront of AI technology with a team of experts passionate about innovation. Enjoy the flexibility and benefits of a fully remote position. Engage in challenging and meaningful projects that have a real-world impact. Benefit from a culture of continuous learning, professional development, and collaborative achievement. To Apply: Interested candidates are invited to submit their resume, a cover letter detailing their experience with LLMs, and any relevant project samples or GitHub links to careers@kyfex.com with "Remote Principal Data Engineer Application" as the subject line. KYFEX is committed to diversity and inclusion and encourages applications from all qualified individuals, including those from diverse backgrounds and underrepresented groups.
About KYFEX: KYFEX is a leading AI consulting firm, dedicated to harnessing the power of artificial intelligence to revolutionize business operations across the globe. Our expertise in Large Language Models (LLMs) and AI infrastructure positions us at the cutting edge of AI technology, enabling us to offer unparalleled solutions to our clients. As we continue to grow, we're seeking a skilled Remote AWS Infrastructure/DevOps Engineer to join our dynamic team and contribute to our mission of delivering scalable, secure, and reliable AI infrastructure solutions. Job Responsibilities: Design, implement, and manage scalable AWS infrastructure to support LLM deployments and AI workloads for our diverse client base. Build and maintain CI/CD pipelines for automated deployment of AI models and applications across multiple environments. Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, or CDK to ensure reproducible and version-controlled infrastructure. Optimize cloud infrastructure costs while maintaining high performance for compute-intensive AI/ML workloads. Design and implement robust monitoring, logging, and alerting systems to ensure 99.99% uptime for production AI services. Collaborate with ML engineers and data scientists to containerize and orchestrate AI models using Docker and Kubernetes/EKS. Implement security best practices, including network segmentation, IAM policies, and compliance frameworks (SOC2, HIPAA, FedRAMP) for enterprise clients. Manage and optimize GPU-enabled infrastructure for training and inference of large language models. Develop disaster recovery strategies and implement backup solutions for critical AI infrastructure and model artifacts. Automate operational tasks and create self-healing systems to reduce manual intervention. Minimum Requirements: Bachelor's degree in Computer Science, Engineering, or a related technical field. 4+ years of hands-on experience with AWS services, particularly EC2, ECS/EKS, Lambda, S3, RDS, and VPC. Strong expertise in Infrastructure as Code tools (Terraform, CloudFormation, or AWS CDK). Proficiency in scripting languages (Python, Bash) and automation frameworks. Solid experience with containerization (Docker) and orchestration platforms (Kubernetes). Deep understanding of CI/CD principles and tools (Jenkins, GitLab CI, GitHub Actions, or AWS CodePipeline). Experience with monitoring and observability tools (CloudWatch, Prometheus, Grafana, DataDog, or New Relic). Strong understanding of networking concepts, security best practices, and Linux system administration. Demonstrated ability to work independently in a remote setting, managing complex infrastructure projects. Preferred Skills: AWS certifications (Solutions Architect, DevOps Engineer, or Security Specialty). Experience with ML/AI infrastructure, including GPU instance management and ML platforms (SageMaker, MLflow). Familiarity with serverless architectures and event-driven systems. Experience with HashiCorp tools (Vault, Consul, Packer). Knowledge of database administration (PostgreSQL, MongoDB, Redis) and data streaming technologies (Kafka, Kinesis). Experience implementing air-gapped or hybrid cloud solutions for high-security environments. Understanding of FinOps practices and cloud cost optimization strategies. Experience with GitOps workflows and tools (ArgoCD, Flux). Strong communication skills, with the ability to document complex infrastructure designs and explain technical concepts to diverse stakeholders. Why Join KYFEX? Work at the forefront of AI technology with a team of experts passionate about innovation. Enjoy the flexibility and benefits of a fully remote position. Build infrastructure that powers cutting-edge AI solutions with real-world impact. Benefit from a culture of continuous learning, professional development, and collaborative achievement. To Apply: Interested candidates are invited to submit their resume, a cover letter detailing their experience with AWS infrastructure and DevOps practices, and any relevant project samples or GitHub links to careers@kyfex.com with "Remote AWS Infrastructure/DevOps Engineer Application" as the subject line. KYFEX is committed to diversity and inclusion and encourages applications from all qualified individuals, including those from diverse backgrounds and underrepresented groups.
About KYFEX: KYFEX is a leading AI consulting firm, dedicated to harnessing the power of artificial intelligence to revolutionize business operations across the globe. Our expertise in data analytics and growth optimization positions us at the cutting edge of mobile app and SaaS growth strategies, enabling us to offer unparalleled solutions to our clients. As we continue to grow, we're seeking a skilled Remote Growth Analyst to join our dynamic team as a contractor and contribute to our mission of driving data-driven growth and excellence. Job Responsibilities: Conduct comprehensive cohort analysis using AppsFlyer data to track user acquisition, retention, and revenue performance across different user segments and acquisition channels. Calculate and monitor key growth metrics including Customer Lifetime Value (LTV), Return on Investment (ROI), ROAS, payback periods, and customer acquisition costs (CAC). Build and maintain advanced attribution models to measure marketing campaign effectiveness and optimize budget allocation across channels. Collaborate with data engineers to design, optimize, and maintain data pipelines that process AppsFlyer raw data for analytical purposes. Develop complex SQL queries in Snowflake to extract, transform, and analyze large datasets for growth insights. Create and maintain interactive dashboards in Metabase to visualize key performance metrics and provide self-service analytics for stakeholders. Design and execute A/B testing frameworks to evaluate the impact of product changes and marketing campaigns on growth metrics. Partner with client teams (marketing, product, finance) to optimize campaigns, identify growth features, and align analytics with business planning. Conduct market research and competitive analysis to identify growth opportunities and benchmark performance. Create predictive models to forecast user behavior, revenue projections, and campaign performance. Minimum Requirements: Bachelor's degree in Data Science, Statistics, Economics, Business Analytics, Marketing Analytics, or a related quantitative field. 3+ years of proven experience as a Growth Analyst, Marketing Analyst, or similar analytical role, preferably in mobile app or SaaS environments. Expert-level proficiency in SQL for complex data manipulation and analysis, with specific experience in Snowflake data warehousing. Advanced experience with Metabase for creating interactive dashboards and self-service analytics solutions. Demonstrated experience with mobile attribution platforms, with specific expertise in AppsFlyer data analysis and reporting. Strong proficiency in statistical analysis, cohort analysis, and predictive modeling techniques. Deep understanding of mobile app growth metrics including LTV, CAC, ROAS, retention rates, and revenue attribution models. Proficiency in Python or R for advanced analytics and statistical modeling. Experience with A/B testing methodologies, experimental design, and statistical significance testing. Experience working as a contractor or consultant, with ability to quickly integrate into client teams and deliver results. Preferred Skills: Master's degree in a relevant quantitative field. Experience with additional BI tools (Tableau, Looker, Power BI) and cloud platforms (AWS, GCP, Azure). Knowledge of ETL processes, data pipeline development, and workflow orchestration tools like Apache Airflow. Experience with machine learning techniques for predictive analytics and customer behavior modeling. Previous experience in mobile gaming, e-commerce, fintech, or other high-growth mobile app industries. Knowledge of additional mobile analytics platforms (Adjust, Branch, Singular) and customer data platforms (CDPs). Understanding of incrementality testing, media mix modeling, and privacy-first measurement approaches (SKAdNetwork). Familiarity with data privacy regulations (GDPR, CCPA) and their impact on analytics and attribution. Previous consulting experience with successful client engagements and proven track record of driving data-driven decisions. Strong presentation and communication skills with ability to translate complex insights to non-technical stakeholders. Why Join KYFEX? Work at the forefront of growth analytics with a team of experts passionate about data-driven innovation. Enjoy the flexibility and benefits of a fully remote contractor position. Make immediate impact on growth initiatives while working with cutting-edge analytics technologies. Gain exposure to diverse industries and build long-term relationships in the mobile app analytics space. Benefit from a culture of continuous learning, professional development, and collaborative achievement. To Apply: Interested candidates are invited to submit their resume, a cover letter detailing their experience with growth analytics and mobile attribution platforms, and any relevant case studies or portfolio samples to careers@kyfex.com with "Remote Growth Analyst Application" as the subject line. KYFEX is committed to diversity and inclusion and encourages applications from all qualified individuals, including those from diverse backgrounds and underrepresented groups.
About KYFEX: KYFEX is a leading AI consulting firm, dedicated to harnessing the power of artificial intelligence to revolutionize business operations across the globe. Our expertise in building cutting-edge web applications and AI-powered platforms positions us at the forefront of digital transformation, enabling us to deliver exceptional full-stack solutions to our clients. As we continue to grow, we're seeking a skilled Remote React Fullstack Engineer to join our dynamic team as a contractor and contribute to our mission of creating innovative, scalable, and user-centric applications. Job Responsibilities: Design and develop responsive, high-performance web applications using React.js, Next.js, and modern JavaScript/TypeScript frameworks. Build robust RESTful APIs and GraphQL services using Node.js, Express, or similar backend frameworks to support frontend applications. Implement server-side rendering (SSR) and static site generation (SSG) strategies for optimal performance and SEO. Create reusable component libraries and design systems that ensure consistency across multiple client projects. Integrate AI/ML models and services into web applications, creating seamless user experiences for AI-powered features. Design and implement database schemas using PostgreSQL, MongoDB, or similar databases, ensuring data integrity and optimal query performance. Develop real-time features using WebSockets, Server-Sent Events, or similar technologies for collaborative and interactive applications. Implement comprehensive testing strategies including unit tests, integration tests, and end-to-end testing using Jest, React Testing Library, and Cypress. Collaborate with UX/UI designers to translate Figma/Sketch designs into pixel-perfect, accessible, and responsive interfaces. Optimize application performance through code splitting, lazy loading, caching strategies, and bundle size optimization. Implement authentication and authorization systems using JWT, OAuth 2.0, and modern identity providers. Maintain CI/CD pipelines and participate in code reviews to ensure code quality and best practices. Minimum Requirements: Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. 4+ years of professional experience in full-stack web development with a strong focus on React.js ecosystem. Expert-level proficiency in React.js, including hooks, context API, and state management solutions (Redux, Zustand, or MobX). Strong experience with Next.js framework for production-grade applications, including API routes and middleware. Proficiency in TypeScript and modern JavaScript (ES6+) with deep understanding of asynchronous programming patterns. Solid backend development experience with Node.js and frameworks like Express, Fastify, or NestJS. Experience with database design and management, including both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases. Proficiency in responsive web design, CSS-in-JS solutions (Styled Components, Emotion), and modern CSS frameworks (Tailwind CSS). Experience with version control systems (Git) and collaborative development workflows. Strong understanding of web security best practices, including OWASP guidelines and secure coding principles. Proven ability to work independently as a contractor, managing project timelines and client communications effectively. Preferred Skills: Experience with cloud platforms (AWS, Google Cloud, or Azure) and serverless architectures. Familiarity with containerization (Docker) and orchestration tools (Kubernetes). Experience with micro-frontend architectures and module federation. Knowledge of WebAssembly and performance optimization techniques for compute-intensive applications. Experience integrating third-party APIs and services (Stripe, Auth0, SendGrid, Twilio). Familiarity with AI/ML integration, including experience with OpenAI APIs, LangChain, or similar AI services. Experience with mobile development using React Native for cross-platform applications. Understanding of Web3 technologies and blockchain integration for decentralized applications. Experience with monitoring and analytics tools (Sentry, LogRocket, Google Analytics, Mixpanel). Knowledge of accessibility standards (WCAG) and experience building inclusive web applications. Experience with headless CMS platforms (Contentful, Strapi, Sanity) and JAMstack architecture. Strong portfolio demonstrating successful client projects and complex application development. Why Join KYFEX? Work at the intersection of web development and AI innovation with a team of experts passionate about cutting-edge technology. Enjoy the flexibility and benefits of a fully remote contractor position. Build applications that leverage the latest in AI technology to solve real-world business challenges. Gain exposure to diverse industries and cutting-edge projects while working with enterprise-grade clients. Benefit from a culture of continuous learning, professional development, and collaborative achievement. To Apply: Interested candidates are invited to submit their resume, a cover letter detailing their experience with React and full-stack development, portfolio links showcasing recent projects, and GitHub profile to careers@kyfex.com with "Remote React Fullstack Engineer Application" as the subject line. KYFEX is committed to diversity and inclusion and encourages applications from all qualified individuals, including those from diverse backgrounds and underrepresented groups.
About KYFEX: KYFEX is a leading AI consulting firm, dedicated to harnessing the power of artificial intelligence to revolutionize business operations across the globe. Our expertise in data analytics and growth optimization positions us at the cutting edge of mobile app and SaaS growth strategies, enabling us to offer unparalleled solutions to our clients. As we continue to grow, we're seeking a skilled Remote Growth Analyst to join our dynamic team as a contractor and contribute to our mission of driving data-driven growth and excellence. Job Responsibilities: Conduct comprehensive cohort analysis using AppsFlyer data to track user acquisition, retention, and revenue performance across different user segments and acquisition channels. Calculate and monitor key growth metrics including Customer Lifetime Value (LTV), Return on Investment (ROI), ROAS, payback periods, and customer acquisition costs (CAC). Build and maintain advanced attribution models to measure marketing campaign effectiveness and optimize budget allocation across channels. Collaborate with data engineers to design, optimize, and maintain data pipelines that process AppsFlyer raw data for analytical purposes. Develop complex SQL queries in Snowflake to extract, transform, and analyze large datasets for growth insights. Create and maintain interactive dashboards in Metabase to visualize key performance metrics and provide self-service analytics for stakeholders. Design and execute A/B testing frameworks to evaluate the impact of product changes and marketing campaigns on growth metrics. Partner with client teams (marketing, product, finance) to optimize campaigns, identify growth features, and align analytics with business planning. Conduct market research and competitive analysis to identify growth opportunities and benchmark performance. Create predictive models to forecast user behavior, revenue projections, and campaign performance. Minimum Requirements: Bachelor's degree in Data Science, Statistics, Economics, Business Analytics, Marketing Analytics, or a related quantitative field. 3+ years of proven experience as a Growth Analyst, Marketing Analyst, or similar analytical role, preferably in mobile app or SaaS environments. Expert-level proficiency in SQL for complex data manipulation and analysis, with specific experience in Snowflake data warehousing. Advanced experience with Metabase for creating interactive dashboards and self-service analytics solutions. Demonstrated experience with mobile attribution platforms, with specific expertise in AppsFlyer data analysis and reporting. Strong proficiency in statistical analysis, cohort analysis, and predictive modeling techniques. Deep understanding of mobile app growth metrics including LTV, CAC, ROAS, retention rates, and revenue attribution models. Proficiency in Python or R for advanced analytics and statistical modeling. Experience with A/B testing methodologies, experimental design, and statistical significance testing. Experience working as a contractor or consultant, with ability to quickly integrate into client teams and deliver results. Preferred Skills: Master's degree in a relevant quantitative field. Experience with additional BI tools (Tableau, Looker, Power BI) and cloud platforms (AWS, GCP, Azure). Knowledge of ETL processes, data pipeline development, and workflow orchestration tools like Apache Airflow. Experience with machine learning techniques for predictive analytics and customer behavior modeling. Previous experience in mobile gaming, e-commerce, fintech, or other high-growth mobile app industries. Knowledge of additional mobile analytics platforms (Adjust, Branch, Singular) and customer data platforms (CDPs). Understanding of incrementality testing, media mix modeling, and privacy-first measurement approaches (SKAdNetwork). Familiarity with data privacy regulations (GDPR, CCPA) and their impact on analytics and attribution. Previous consulting experience with successful client engagements and proven track record of driving data-driven decisions. Strong presentation and communication skills with ability to translate complex insights to non-technical stakeholders. Why Join KYFEX Work at the forefront of growth analytics with a team of experts passionate about data-driven innovation. Enjoy the flexibility and benefits of a fully remote contractor position. Make immediate impact on growth initiatives while working with cutting-edge analytics technologies. Gain exposure to diverse industries and build long-term relationships in the mobile app analytics space. Benefit from a culture of continuous learning, professional development, and collaborative achievement. To Apply: Interested candidates are invited to submit their resume, a cover letter detailing their experience with growth analytics and mobile attribution platforms, and any relevant case studies or portfolio samples to [HIDDEN TEXT] with Remote Growth Analyst Application as the subject line. KYFEX is committed to diversity and inclusion and encourages applications from all qualified individuals, including those from diverse backgrounds and underrepresented groups.
About KYFEX: KYFEX is a leading AI consulting firm, dedicated to harnessing the power of artificial intelligence to revolutionize business operations across the globe. Our expertise in Large Language Models (LLMs) positions us at the cutting edge of AI technology, enabling us to offer unparalleled solutions to our clients. KYFEX is partnering with one of our premier clients, a leading mobile gaming company in the car racing domain, to find an exceptional Senior Data Scientist for a contract engagement. This is an exciting opportunity to embed with a fast-paced mobile gaming studio and drive data-driven decision making across product, marketing, and monetization strategies. You'll work directly with the client's cross-functional teams to uncover insights, identify growth opportunities, and help shape the future of their racing game portfolio. Job Responsibilities: Insight Generation & Strategic Analysis: Conduct deep exploratory analysis of player behavior, game economy, and monetization patterns to uncover actionable insights Analyze player progression, retention funnels, and engagement metrics to identify opportunities for game improvement Investigate churned players, win/loss patterns, and session behaviors to understand what drives player satisfaction and lifetime value Perform segmentation analysis to identify high-value player cohorts and understand their unique behaviors and preferences Analyze in-game events, races, tournaments, and seasonal content to measure effectiveness and player engagement Identify patterns in player spending behavior, IAP (in-app purchase) conversion, and pricing elasticity across different player segments Mobile Gaming Domain Expertise: Deep dive into car racing game-specific metrics including race completion rates, car upgrade patterns, track preferences, and competitive multiplayer engagement Analyze game economy balance including currency flows, reward systems, and progression curves Study player acquisition campaigns and channel performance specific to mobile gaming audiences Evaluate ad monetization strategies (rewarded video, interstitials) and their impact on player experience and retention Understand seasonal events, live ops performance, and content release impact on player engagement Analyze social features, clan/guild dynamics, and competitive leaderboard participation Forecasting & Predictive Analytics: Build predictive models to forecast player churn, lifetime value, and revenue projections Develop early warning systems to identify at-risk players and opportunities for intervention Create forecasting models for daily/monthly active users, revenue, and key engagement metrics Predict impact of new features, content releases, and game updates on player behavior Model player progression trajectories and identify bottlenecks or drop-off points Metrics Definition & Performance Tracking: Define and socialize key performance indicators (KPIs) across product, marketing, and monetization teams Build comprehensive metric frameworks for measuring game health, player satisfaction, and business performance Create dimensional models and metric definitions that enable self-service analytics for stakeholders Develop cohort analysis frameworks to track player performance over time Calculate and monitor LTV, ARPDAU, retention curves, conversion rates, and engagement scores Stakeholder Collaboration & Communication: Partner closely with product managers to inform feature prioritization and roadmap decisions Collaborate with game designers to optimize game balance, difficulty curves, and reward structures Work with marketing teams to optimize user acquisition, attribution analysis, and campaign performance Support monetization team with pricing strategies, offer testing, and revenue optimization Present insights and recommendations to executive leadership in clear, compelling narratives Translate complex analytical findings into actionable recommendations that non-technical stakeholders can understand and act upon Facilitate data-driven discussions and help teams make evidence-based decisions Experimentation & Testing: Design and analyze A/B tests for new features, UI changes, pricing experiments, and marketing campaigns Evaluate test results, determine statistical significance, and provide clear recommendations Build experimentation frameworks and best practices for the organization Conduct post-launch analysis of new features and content releases Dashboard & Visualization Development: Create intuitive, self-service dashboards in Metabase that answer key business questions Build visualizations that make complex data accessible to diverse stakeholders Develop automated reporting that keeps teams informed of key metrics and trends Design executive dashboards for quick assessment of business health Minimum Requirements: Bachelor's or Master's degree in Data Science, Statistics, Economics, Mathematics, Computer Science, or related quantitative field 5+ years of experience as a Data Scientist, Senior Analyst, or Analytics Lead, preferably in mobile gaming, mobile apps, or SaaS environments Strong experience in mobile gaming analytics or similar high-engagement consumer product environments Expert-level SQL proficiency for complex data querying and analysis (Snowflake experience strongly preferred) Advanced Python or R skills for statistical analysis, modeling, and data manipulation Proven track record of generating actionable insights that directly influenced business decisions and product strategy Deep understanding of mobile app/gaming metrics: retention cohorts, LTV, DAU/MAU, ARPU, session metrics, conversion funnels Experience with statistical modeling, predictive analytics, and machine learning techniques Strong proficiency with data visualization and BI tools (Metabase, Tableau, Looker, or similar) Exceptional communication and storytelling skills - ability to present complex analyses to diverse audiences ranging from engineers to executives Creative and curious mindset with ability to ask the right questions and dig deep into data to find unexpected insights Self-starter who can work independently, identify problems, and drive projects from insight to implementation Comfortable working as an embedded contractor within client teams Experience with mobile attribution platforms (AppsFlyer, Adjust, Branch, or similar) Preferred Skills: Previous experience in mobile gaming industry (racing games, action games, or other competitive multiplayer genres is a plus) Understanding of game design principles, player psychology, and game economy design Experience with game analytics platforms (GameAnalytics, Unity Analytics, Firebase, deltaDNA) Knowledge of free-to-play business models, IAP optimization, and ad monetization strategies Familiarity with player segmentation techniques (RFM analysis, behavioral clustering, persona development) Experience with churn prediction, propensity modeling, and player lifetime value forecasting Understanding of A/B testing in mobile gaming context and live ops experimentation Knowledge of user acquisition channels, attribution modeling, and marketing analytics specific to mobile gaming Experience with cohort analysis tools and retention curve analysis Familiarity with data privacy regulations (GDPR, CCPA) and their impact on mobile gaming analytics Understanding of platform-specific considerations (iOS vs Android player behavior, SKAdNetwork limitations) Experience with dbt or similar data transformation tools for creating analysis-ready datasets Previous consulting or contract experience with successful client engagements Domain knowledge in automotive, racing, or sports gaming Experience presenting to C-level executives and influencing strategic decisions Key Success Factors: Curiosity & Creativity: You don't just answer questions—you ask better ones. You explore data creatively to find insights others miss Communication Excellence: You can explain a complex regression model to a game designer and make them excited about the findings Business Acumen: You understand that insights without action are meaningless. You drive toward decisions and outcomes Independence: You can work autonomously, set your own analytical agenda, and identify where you can add the most value Collaboration: You build strong relationships with cross-functional partners and become a trusted advisor Impact-Oriented: You measure your success by the decisions you influence and the business outcomes you drive Why This Opportunity? Work embedded with a dynamic mobile gaming studio on exciting car racing games with massive player bases Have direct impact on product decisions, player experience, and business strategy Collaborate with passionate game developers, designers, and marketers who value data-driven insights Enjoy flexibility of a remote contract position with competitive compensation through KYFEX Tackle unique analytical challenges specific to competitive multiplayer racing games Gain deep expertise in mobile gaming analytics—one of the most exciting and fast-paced domains in tech Build your portfolio with high-impact work in the gaming industry Access to KYFEX's network and support while working independently with the client To Apply: Interested candidates are invited to submit their resume and a cover letter detailing: Your experience with mobile gaming or mobile app analytics Examples of insights you've generated that led to meaningful business decisions Your approach to collaborating with product and business stakeholders Any relevant case studies or examples of your analytical work Please send applications to careers@kyfex.com with "Senior Data Scientist - Mobile Gaming Contract" as the subject line. KYFEX is committed to diversity and inclusion and encourages applications from all qualified individuals, including those from diverse backgrounds and underrepresented groups.