Data Scientist - Barcelona, España - Paper Street Media
Descripción
Who we are - We are web-based video-on-demand networks with a focus on adult entertainment, based out of Downtown Miami.
We are a group of creative souls with diverse backgrounds. If you are also a true believer of work hard & play hard, this is the place to be. At PSM, you will enjoy a fun & casual environment, team-building retreats, startup spirits, and great benefits.
What we do - We discover what excites the world and deliver it seamlessly to our members We are the creators of top sites you know and love. We are leading the industry by using cutting-edge technologies to deliver top-quality content. Our content and websites are published exclusively and enjoyed by millions of fans worldwide.
What we are looking for - Paper Street Media, LLC is hiring for a
FULL-TIME Data Scientist. The primary role of the
Data Scientist is responsible for the creation and maintenance of current data integration processes as well as new data sources. You will collaborate with multidisciplinary teams to understand the needs and final modeling.
- The job will expose you to the content of adult nature. If this is something you are not comfortable with please do not apply._
What You'll Be Doing:
- Perform exploratory data analysis to identify patterns, trends, and relationships within complex datasets.
- Develop and implement statistical models and machine learning algorithms to analyze data and solve business problems using tools like R or similar.
- Collaborate with stakeholders to understand business objectives and translate them into analytical problems.
- Clean, preprocess, and transform raw data to ensure data quality and reliability.
- Perform feature selection and engineering to enhance the performance of predictive models.
- Conduct A/B testing and other experiments to evaluate the effectiveness of datadriven solutions.
- Generate whatif tools to assess the effectiveness of datadriven improvement proposals.
- Communicate findings and insights to nontechnical stakeholders through clear and compelling data visualizations, reports, and presentations.
- Stay updated with the latest advancements and techniques in data science and contribute to the continuous improvement of the team's data analytics capabilities.
Must Haves:
- Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline. A Master's or Ph.
- Proven experience as a Data Scientist or a similar role, with a strong track record of delivering actionable insights and solutions.
- Proficiency in programming languages such as Python, R, or Julia, and familiarity with data manipulation libraries (e.g., pandas, NumPy).
- Strong knowledge of statistical analysis, hypothesis testing, and predictive modeling techniques.
- Experience with machine learning algorithms and frameworks (e.g., scikitlearn, TensorFlow, PyTorch).
- Proficiency in SQL and experience working with relational databases.
- Knowledge of ETL tools for data extraction and integration, such as PDI/Kettle or Apache Hop.
- Ability to effectively visualize and communicate complex data to nontechnical stakeholders.
- Solid understanding of experimental design and A/B testing methodologies, as well as whatif analysis.
- Strong problemsolving and analytical skills, with keen attention to detail.
- Excellent teamwork and communication skills, with the ability to collaborate effectively with crossfunctional teams.
- Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud) is a plus.
- Ability to work independently and handle multiple tasks simultaneously in a fastpaced environment.
- Extensive knowledge and experience using GIT as a version control system, including the ability to use basic GIT commands such as commit, push, pull, and merge, as well as branch management and conflict resolution.
- Familiarity with GitFlow workflow and experience in its implementation, including creating and merging feature branches, release branches, and hotfix branches according to established best practices.
- Experience in connecting to remote systems (UNIX) via SSH and the ability to navigate the file system using basic Bash commands. Skills to navigate, create, copy, move, and delete files and directories in the remote server's file system using commands such as ssh, cd, ls, mkdir, cp, mv, and rm. Knowledge of UNIX permission system.
- High level of English (required)
- Intermediate level of Spanish (desirable)
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