- Analyze and interpret metrics like CTR, retention, engagement, and user behavior at an unprecedented scale (100B+ views/month). - Build robust and reproducible analytical workflows to uncover actionable insights. - Validate and optimize measurement methods to ensure accuracy across platforms. - Identify non-obvious correlations, causal relationships, and latent patterns in large, complex datasets. - Translate statistical findings into strategic recommendations for content, product, and growth teams. - Challenge assumptions and propose innovative analytical frameworks. - Design, build, and maintain AI agents that automate routine and complex analytical processes. - Experiment with LLMs, reinforcement learning, and other generative AI techniques to accelerate insights. - Deploy AI solutions in production to improve decision-making speed and accuracy. - Develop end-to-end machine learning pipelines for large-scale data processing. - Ensure code quality, reproducibility, and scalability for production environments. - Continuously monitor, test, and optimize ML/DL models for performance and robustness. - Present findings and strategic recommendations directly to the CEO. - Influence high-level business and content strategy with data-driven insights. - Communicate complex technical results in a clear, actionable manner for non-technical stakeholders.

This role is for one of our clients Compensation: $19 - $65/hourpay Job Title: ParaView Expert Job Type: Contract Location: Remote We encourage you to become a part of our client's team as a ParaView Expert. In this crucial position, you will be instrumental in documenting and clarifying the complete rendering processes employed by seasoned visualization professionals, thereby influencing how next-generation AI comprehends and reproduces sophisticated data visualization techniques.

• Lead end-to-end ML projects: task setting -> solution -> testing -> production -> support; • Work with data engineers to create datasets and data requirements, assess feasibility, risks, and limitations; • Participate in the design and analysis of A/B tests together with data analysts: metrics, splits, interpretation of results, recommendations for rolling out solutions; • Develop and train models (classic ML + DL), including solutions for text and image embeddings; conduct offline evaluation and error analysis; • Transfer the model and code to production (Python service), support releases and integrations; • Be responsible for model quality after launch: metrics, monitoring, drift/degradation, improvement plan, and support regulations

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Senior Data Scientist, you will take full ownership of statistical modeling, ensuring that marketers have precise actionable insights into campaign effectiveness. This role includes opportunities for exploring new statistical methodologies and applying existing methodologies (with potential refinements) to new datasets. If you enjoy a combination of data wrangling, optimizing statistical models, and working at the intersection of data science and product, this is the role for you. - Conduct exploratory data analysis, engineer features in order to build statistically sound models that are interpretable and aligning with domain knowledge - Adapt, optimize, and iterate on the current modelling packages, modifying open source packages to adapt our need - Stay up to date with the latest causal inference and experimental design techniques - Translate complex business asks into rigorous mathematical problems and, conversely, use data-driven storytelling to communicate mathematical results as clear, actionable business insights to external stakeholders - Provide code reviews and feedback on system/model design for team members - Work closely with product and engineering to integrate data science projects into the Rockerbox platform Qualifications - 5+ years of industry experience with a BA or BSc in sciences or engineering or 2+ years of industry experience with a MSc or PhD degree in sciences or engineering - Strong knowledge of regression modelling, statistical testing and experimental design - Proficiency in scientific Python stack (NumPy, Pandas, Statsmodels, Matplotlib etc.) Requirements - SQL for data wrangling - Applying Bayesian techniques to predictive modelling problems - Working with AWS cloud technologies - Experience using Probabilistic programming libraries, e.g. STAN, PyMC, numpyro - Familiarity with marketing analytics concepts such as campaign allocation, measurement or budget optimization Benefits - The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV - The estimated salary range for this role based on the qualifications set forth in the job description is between [$107,000 - $193,000] - This role will also be eligible for bonus/commission (as applicable), equity, and benefits - The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, and recognize that the person we hire may be more or less experienced than this job description as posted - Please note, there may be in-person interviews at one of our offices Company Description At Rockerbox, you’ll find a fast-paced, results-driven environment where your work has a direct impact on our growth and the success of our clients. Our iterative development process means you’ll see your contributions come to life quickly. You’ll join a supportive, light-hearted team that values collaboration and innovation. We are committed to professional growth and will actively support your development in both technical and business domains.