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  • Lead Data Scientist - Bharatpur - RevX

    RevX
    RevX Bharatpur

    3 weeks ago

    Default job background
    Description
    Lead Data Scientist
    About RevX: A Partner for App Marketers.
    Made for Growth, Built for App Marketers. RevX helps app businesses acquire and reengage users via programmatic to retain, monetize, and accelerate revenue.
    We're all about taking your app businesses to a new growth level by relying on data science, innovative technology, and AI, as well as a skilled team that creates and delivers seamless ad experiences to delight your app users.
    We provide trustworthy insights, a hands-on team, and a commitment to growth. We help you build sound mobile strategies, combining programmatic UA, app re engagement, and performance branding to drive real and verifiable results.
    This enables you to scale your business with real users, high retention, and incremental revenue.
    Major Responsibilities:
    • Research and Problem-Solving: Identify business problems, conduct exploratory data analysis, and propose data science solutions tailored to business needs.
    • Leadership & Communication: Serve as a technical referent for the research team, driving initiatives. Communicate complex concepts to stakeholders, ensuring insights are actionable for both technical and non-technical audiences.
    • Algorithm Development: Design, optimize, and implement machine learning algorithms, including neural networks, ensemble models (XGBoost, random forests), and clustering techniques.
    • End-to-End Project Ownership: Lead the development, deployment, and monitoring of machine learning models and data pipelines for large-scale applications.
    • Model Optimization and Scalability: Focus on optimizing algorithms for performance and scalability, ensuring robust, well-calibrated models suitable for real-time environments.
    • A/B Testing and Validation: Design and execute experiments to validate model effectiveness and business impact.
    • Big Data Handling: Leverage tools like BigQuery, advanced SQL, and cloud platforms to process and analyze large datasets.
    • Collaboration and Mentorship: Work with engineering, product, and campaign management teams, mentoring junior data scientists in best practices and advanced techniques.
    • Data Visualization: Create impactful visualizations using tools like matplotlib, seaborn, Looker, and Grafana to communicate insights effectively to stakeholders.
    Required Experience/Skills:
    • 5–8 years of experience in data science or machine learning roles.
    • 2+ years leading data science projects in AdTech.
    • Strong skills in Advanced Statistics, Machine Learning, and Deep Learning.
    • Ability to implement and optimize neural networks and other advanced ML models.
    • Proficiency in Python for developing machine learning models, with a strong grasp of TensorFlow or PyTorch.
    • Expertise handling large datasets using advanced SQL and big data tools like BigQuery.
    • In-depth knowledge of MLOps pipelines, from data preprocessing to deployment and monitoring.
    • Background in A/B testing, statistical analysis, and experimental design.
    • Capability in clustering, segmentation, and unsupervised learning methods.
    • Strong problem-solving and analytical skills with a focus on delivering business value.
    Education:
    A Master's in Data Science, Computer Science, Mathematics, Statistics, or a related field is preferred. A Bachelor's degree with exceptional experience will also be considered.

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Lead data scientist