Data Scientist Predictive Sciences

Job Description

Role Overview:Joveo, a global leader in programmatic job advertising, is looking for a Machine Learning Engineer to join their team. By utilizing cutting-edge technology and machine learning, Joveo aims to deliver the most relevant candidates to employers worldwide, ultimately changing the landscape of recruitment media buying. As a Machine Learning Engineer at Joveo, you will play a crucial role in executing the full machine learning lifecycle, applying various machine learning techniques, ensuring regulatory compliance, and defining key performance indicators for impactful insights.Key Responsibilities:- Execute the full Machine Learning lifecycle, including feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop.- Apply Supervised and Unsupervised Machine Learning techniques such as Forecasting, Anomaly Detection, and Pattern Detection.- Utilize algorithms like Decision Trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, and Deep Learning.- Ensure compliance with regulatory standards for data handling and classification.- Proficiency in SQL, relational databases, Big Data technologies (Spark/Hadoop), and Cloud technologies.- Conduct statistical and machine learning methods like A/B testing, experiment design, causal inference, and recommendation systems.- Define and develop Key Performance Indicators (KPIs) and create reports to measure the impact of tests, content releases, and product improvements.Qualifications:- Preferred PhD or Masters degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent quantitative field.- 4-6 years of experience as a statistician or data scientist, including statistical data analysis with linear models, multivariate analysis, stochastic models, and sampling methods.- Sound knowledge of ETL practices, preferably using Spark in Data Bricks or similar cloud big data technologies like Microsoft Azure or AWS.- Experience with traditional and modern statistical techniques such as Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and Ensemble Methods.- Proficiency in analytical programming languages (Python or R) and SQL, along with experience in statistical software like R, Python, MATLAB, and pandas.- Strong understanding of machine learning models, feature engineering, validation, scaling, deployment, and monitoring.Additional Skills:- Ability to work independently and in a team environment.- Strong problem-solving skills and attention to detail.- Excellent communication and presentation skills.- Proven track record of delivering high-quality data science solutions.- Experience with programming languages for ETL operations and data analysis, including Python, Java, C, and R.Note: This job requires a blend of technical expertise, statistical knowledge, and solid analytical skills to drive predictive science initiatives effectively. If you meet these qualifications and are passionate about leveraging data for impactful insights, we encourage you to apply. Role Overview:Joveo, a global leader in programmatic job advertising, is looking for a Machine Learning Engineer to join their team. By utilizing cutting-edge technology and machine learning, Joveo aims to deliver the most relevant candidates to employers worldwide, ultimately changing the landscape of recruitment media buying. As a Machine Learning Engineer at Joveo, you will play a crucial role in executing the full machine learning lifecycle, applying various machine learning techniques, ensuring regulatory compliance, and defining key performance indicators for impactful insights.Key Responsibilities:- Execute the full Machine Learning lifecycle, including feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop.- Apply Supervised and Unsupervised Machine Learning techniques such as Forecasting, Anomaly Detection, and Pattern Detection.- Utilize algorithms like Decision Trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, and Deep Learning.- Ensure compliance with regulatory standards for data handling and classification.- Proficiency in SQL, relational databases, Big Data technologies (Spark/Hadoop), and Cloud technologies.- Conduct statistical and machine learning methods like A/B testing, experiment design, causal inference, and recommendation systems.- Define and develop Key Performance Indicators (KPIs) and create reports to measure the impact of tests, content releases, and product improvements.Qualifications:- Preferred PhD or Masters degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent quantitative field.- 4-6 years of experience as a statistician or data scientist, including statistical data analysis with linear models, multivariate

Keyskills :
Machine LearningUnsupervised LearningForecastingAnomaly DetectionDecision TreesTime Series AnalysisNeural NetworksDeep LearningSQLRelational DatabasesSparkHadoopCausal InferenceMicrosoft AzureAWSRegressionPythonMATLABValidationScaling