- Experience in machine learning techniques and frameworks
- Experience with standard open source data science tools and languages (e.g. R, Python, etc)
- Experience with database languages (e.g. SQL)
- Experience with big data technologies (e.g. MapReduce, Hadoop, H20, and Spark)
- Experience with text mining of unstructured data is preferred
- Experience with advanced data visualization techniques is preferred
- Demonstrated track record in building predictive models on complex datasets
- Demonstrated self-direction and ability to learn new techniques
- Ability to obtain work authorization in the United States
- Minimum of a Bachelor's degree or equivalent in Computer Science, or in related field.
- Collaborate with business users and the reporting team to ensure that requirements are correctly translated, documented, and developed to appropriate reporting design specifications.
- Demonstrated ability to quickly learn new technologies and processes.
- Must be able to work on multiple, concurrent projects
- Healthcare industry experience, a plus.
- General programming experience.
- Business Intelligence, data analytics and dashboarding development experience, a must.
- Good knowledge of the MS/SQL Server and environment, a plus.
- Knowledge of R/RStudio/RShiny statistical programming.
- Work on all stages of data science projects from understanding data to implementing the solutions into products and service offerings
- Have an opportunity to work on diverse data sets for healthcare from electronic health records, demographic data sets to medical billing.
- An interest in UI development and data visualization, a plus
- Proficient in R, SQL and Python
- At least 2 years professional work experience as a Data Scientist
- Solid foundation in statistics (e.g., multivariate analysis, A/B testing)
- Advanced degree (Masters or PhD) in applied science, mathematics or engineering
- Very strong written and verbal communication skills
- Positive attitude, self-starter and excited by challenges
- Experience with machine learning and working with healthcare data
- Experience working with underserved patient populations in a healthcare or community-based setting or personal experience within a community negatively impacted by health disparities
- Ability to work from our San Francisco office, or relocate to our San Francisco office for the first three months
- Background in AI, ML or statistics. Solid knowledge of theoretical concepts of common machine learning methods and algorithms
- Proven hands-on experience building and deploying machine learning systems
- High level in Python programming language
- Ability to analyze and get insights from structured and unstructured datasets
- Solid understanding of model tuning and evaluation techniques
- Familiarity with data reduction and imputation techniques
- Knowledge of your machine learning tools (e.g. scikit-learn, pandas, numpy)
- Knowledge of deep learning approaches and experience with the frameworks: TensorFlow, Keras, PyTorch,...
- Ideally, proficient in several data science areas (time series, computer vision, nlp, recommender systems,...)
- At least an intermediate level in English, both written and spoken, live in (or willing to relocate to) Madrid and enjoy working in an international team
- Experience in creation of high-quality dataset and benchmarks
- Familiarity with version control (preferably Git)
- Experience in Django
- Experience with SQL databases
- 5+ years of experience in database mining/marketing with very large, complex and multi-dimensional datasets.
- 2+ years of direct experience working in ad-tech with a proven track record of media mix optimization
- Thorough understanding and ability to apply supervised and unsupervised learning models.
- Must be able to synthesize disparate data to mine and communicate insights
- Excellent collaboration and communication skills with a proven track record of working across all levels of the organization.
- Experience with large individual customer behavioral data sets (gaming, retail, financial services) and expertise in communication channel best practices, including multi-channel marketing.
- Technical mastery in advanced database mining tools such as SQL and SAS/R/Python (any of the three) with the ability to coach and train others on best practice.
- Preferred experience working with Data Management Platforms, such as Adobe Audience Manager
- Gaming experience particularly with the Call of Duty franchise a strong plus
- Exceptional data analysis in Excel including ability to write macros.
- We are looking for someone with 2-5 years of experience in manipulating data sets and building social score models, and has a Degree in Statistics, Mathematics, Computer Science or other quantitative field.
- Strong problem solving skills with an emphasis on product development.
- Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
- Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
- Experience working with and creating data architectures.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Excellent written and verbal communication skills for coordinating across teams.
- A drive to learn and master new technologies and techniques.
- Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.