KPI prediction models, working with real-world data to create actionable insights. Clean and process data to ensure accuracy and usability. Build and maintain linearregression models for KPI tracking. Access APIs and integrate software tools to enhance workflows. Collaborate with the revenue team to generate insightful reports. … re Looking For 1-2 years in data science or a related field, or a Master’s degree. Strong Python programming (essential), SQL, and linearregression/statistical modeling. Experience with web scraping, machine learning, or dashboarding is a plus. A background in finance or exposure to financial More ❯
highly quantitative field: Computer Science, Machine Learning, Statistics, Mathematics, etc. Proficiency with data mining, knowledge of probability theory and advanced statistical techniques. Experience with regression analysis (beyond linearregression), supervised learning, unsupervised learning or time-series analysis. Experience with scientific scripting languages (Python, R, Matlab). Experience More ❯
insights for the advertiser and both technical and non-technical stakeholders In depth understanding of advanced statistical techniques and methodologies as well as simple linearregression analysis, multivariate regression analysis and model building Advanced in SQL ability to write complex queries from scratch from multiple tables Fluency More ❯
insights for the advertiser and both technical and non-technical stakeholders. - In depth understanding of advanced statistical techniques and methodologies as well as simple linearregression analysis, multivariate regression analysis and model building. - Advanced in SQL ability to write complex queries from scratch from multiple tables. - Fluency More ❯
incremental value to New Look. Advanced Analytics: Experience of delivering and measuring the impact of data science projects such as random forest, k-means, linear regression. Optimisation: Collaborate with cross-functional teams to identify opportunities for process optimisation. Collaborate: Lead a given analytical principle and deliver an agreed analytics … analytics projects from conception to implementation, including strong project planning and management skills. Strong understanding of analytical modelling techniques (e.g., random forest, k-means, linearregression). Excellent communication and presentation skills. Accurate and relevant analytical insights. Data Quality Improvement. Adoption Rate of Analytics Tools/Insights. Personal More ❯
extremely interesting projects and work with some huge global brands. In this role, you will be responsible for modelling, applying econometric techniques such as regression analysis and using technologies such as SQL and Python. You’ll be working in an incredibly supportive and social team, where each employee is … large-scale media datasets from diverse sources (CRM, ad servers, audience panels) to ensure accuracy and readiness for analysis. Apply econometric techniques such as regression analysis, time series modelling, and panel data analysis to uncover insights into the impact of media spend on business outcomes. Deliver data-driven insights … Python). Knowledge of different media channels (social media, print, television, online advertising) and their metrics. Previous Econometrics background, expertise in statical methods like linearregression Data modelling knowledge. Understanding business objectives and ability to translate data insights into actionable actions. If this sounds like the role for More ❯
extremely interesting projects and work with some huge global brands. In this role, you will be responsible for modelling, applying econometric techniques such as regression analysis and using technologies such as SQL and Python. You’ll be working in an incredibly supportive and social team, where each employee is … large-scale media datasets from diverse sources (CRM, ad servers, audience panels) to ensure accuracy and readiness for analysis. Apply econometric techniques such as regression analysis, time series modelling, and panel data analysis to uncover insights into the impact of media spend on business outcomes. Deliver data-driven insights … Python). Knowledge of different media channels (social media, print, television, online advertising) and their metrics. Previous Econometrics background, expertise in statical methods like linearregression Data modelling knowledge. Understanding business objectives and ability to translate data insights into actionable actions. If this sounds like the role for More ❯
Collaborating closely with marketing, BMD, and product teams to deliver analytics that support business priorities Building advanced models using techniques such as random forest , linearregression , and k-means clustering Translating analytical findings into clear, actionable recommendations for senior stakeholders Driving continuous improvement in data quality and adoption More ❯
Collaborating closely with marketing, BMD, and product teams to deliver analytics that support business priorities Building advanced models using techniques such as random forest , linearregression , and k-means clustering Translating analytical findings into clear, actionable recommendations for senior stakeholders Driving continuous improvement in data quality and adoption More ❯
built for scale and speed Designing systems to handle massive data ingestion , feature engineering, and backtesting Collaborating directly with researchers to productionize models — from linear regressions to machine learning pipelines Leveraging HPC and distributed compute to run smarter, faster, and bigger Driving technical strategy while still writing clean, high More ❯
built for scale and speed Designing systems to handle massive data ingestion , feature engineering, and backtesting Collaborating directly with researchers to productionize models — from linear regressions to machine learning pipelines Leveraging HPC and distributed compute to run smarter, faster, and bigger Driving technical strategy while still writing clean, high More ❯
built for scale and speed Designing systems to handle massive data ingestion , feature engineering, and backtesting Collaborating directly with researchers to productionize models — from linear regressions to machine learning pipelines Leveraging HPC and distributed compute to run smarter, faster, and bigger Driving technical strategy while still writing clean, high More ❯
built for scale and speed Designing systems to handle massive data ingestion , feature engineering, and backtesting Collaborating directly with researchers to productionize models — from linear regressions to machine learning pipelines Leveraging HPC and distributed compute to run smarter, faster, and bigger Driving technical strategy while still writing clean, high More ❯
translate them into effective technical solutions. Manage the ingestion and processing of large volumes of data efficiently and securely. Implement algorithms and models, including linear regressions and machine learning techniques, to support trading strategies. Utilize HPC and distributed systems to ensure high performance, scalability, and reliability of applications. Provide More ❯
analysis, and model building using industry standard time Series Forecasting techniques like ARIMA, ARIMAX, Holt Winter and formulate ensemble model. Proficiency in both Supervised (Linear/Logistic Regression) and Unsupervised algorithms (k means clustering, Principal Component Analysis, Market Basket analysis). Experience in solving optimization problems like inventory … and network optimization. Should have hands on experience in Linear Programming. Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area. Detail-oriented and must have an aptitude for solving unstructured problems. You should work in More ❯
large-scale media datasets from diverse sources (CRM, ad servers, audience panels) to ensure accuracy and readiness for analysis. Apply econometric techniques such as regression analysis, time series modelling, and panel data analysis to uncover insights into the impact of media spend on business outcomes. Deliver data-driven insights … Python). Knowledge of different media channels (social media, print, television, online advertising) and their metrics. Previous Econometrics background, expertise in statistical methods like linear regression. Data modelling knowledge. Understanding business objectives and ability to translate data insights into actionable actions. If this sounds like the role for you More ❯
large-scale media datasets from diverse sources (CRM, ad servers, audience panels) to ensure accuracy and readiness for analysis. Apply econometric techniques such as regression analysis, time series modelling, and panel data analysis to uncover insights into the impact of media spend on business outcomes. Deliver data-driven insights … Python). Knowledge of different media channels (social media, print, television, online advertising) and their metrics. Previous Econometrics background, expertise in statistical methods like linear regression. Data modelling knowledge. Understanding business objectives and ability to translate data insights into actionable actions. If this sounds like the role for you More ❯
large-scale media datasets from diverse sources (CRM, ad servers, audience panels) to ensure accuracy and readiness for analysis. Apply econometric techniques such as regression analysis, time series modelling, and panel data analysis to uncover insights into the impact of media spend on business outcomes. Deliver data-driven insights … . Knowledge of different media channels (social media, print, television, online advertising) and their metrics. Previous econometrics background, with expertise in statistical methods like linear regression. Data modelling knowledge. Understanding of business objectives and the ability to translate data insights into actionable actions. If this sounds like the role More ❯
enterprise clients. Developing and deploying ML use-cases. Utilizing AIML development tools such as PyTorch, Jupyter Notebooks, XGBoost, TensorFlow, etc. Building AIML models including Linear/Logistic Regression, KNN, Decision Trees, Anomaly Detection, Large Language Models (LLMs), Generative Models (PALM, GPT-3/4), Entity Extraction, among others. More ❯
