Experienced Full Stack Data Scientist – Predictive Modeling and Data Analysis for careerzynith

• *Job Highlights:**

• **Location:** Remote
• **Compensation:** A competitive salary
• **Position:** Experienced Full Stack Data Scientist – Predictive Modeling and Data Analysis for careerzynith
• **Company:** careerzynith
• **Start Date:** Immediate openings available

• *Job Description:**

• *Introduction:**

Welcome to careerzynith, a leading innovator in the entertainment industry. We are a dynamic and forward-thinking organization that is constantly pushing the boundaries of what is possible. Our team of experts is dedicated to creating immersive experiences that captivate and inspire audiences around the world. As a key member of our team, you will have the opportunity to work on cutting-edge projects that will shape the future of entertainment.

• *About the Role:**

We are seeking an experienced Full Stack Data Scientist to join our team of experts in predictive modeling and data analysis. As a key member of our team, you will be responsible for creating and working on predictive models and integrated datasets on behalf of viewership forecasting (in conjunction with addressable estimating groups within Exploration, Knowledge, and Estimation) to enhance Promotion Deals revenue, on behalf of the DTCI P&L's for digital. You will be a talented problem solver with expertise in overseeing start-to-finish projects from ETL, to predictive modeling, to data representation and BI reporting. We are looking for a self-starter who is passionate about writing code and diving into data with creativity and proficiency, while building strong relationships across different departments and partners with effective communication.

• *Key Responsibilities:**

• **Information Quality:** Interpret raw data from various sources into meaningful and valuable insights for data-driven decision making with automated pipelines handling ETL. As a well-informed authority on internal/external data sources, ensure data is as accurate as possible and a reliable source of truth, raising irregularities and creating workarounds where necessary.
• **Factual Modeling:** Plan and develop new predictive models using factual and AI techniques to estimate and extend a client's engagement with the careerzynith stages across multiple KPIs. Dive into drivers of progress when interpreting predictions and drive changes to the science in the estimate that will improve accuracy.
• **Business Knowledge:** Build visualizations and interfaces to communicate results to business partners in an easily digestible, manageable, and automated way. Examine data to identify patterns, reveal potential opportunities, and create a common understanding of digital media usage.
• **Leadership/Organization:** Collaborate closely with business partners (primarily the addressable estimating groups within Exploration, Knowledge, and Estimation) to identify and open opportunities, and with other data teams to improve capabilities around data modeling, testing platforms, and data perception. Act as a resource for colleagues with less experience.
• **Process Improvement:** Drive growth by investigating new measurable methods and conceptualizing ways to improve the current estimate and reporting foundation and make processes significantly better.
• **Activities:** Apply Spry standards through participating in standups, sprint planning, writing business requirements reports, and reviews. Participate in an "Open Source" learning environment where sharing, archiving, teaching, and collaborating with others is the way of life.

• *Required Qualifications, Experience, Abilities, and Training:**

• **Minimum Qualifications:**
+ 2+ years of significant experience+ High proficiency in SQL and Python (e.g., pandas, numpy, scikit-learn) for data analysis+ Experience with ETL, data pipeline management, and cloud infrastructure for managing large amounts of data (e.g., AWS, PySpark, Snowflake, Wind current, Databricks)+ Experience with data visualization tools (e.g., Tableau)+ Experience planning and executing predictive models (e.g., linear models, time series, decision trees, etc.)+ Experience working with Git+ Demonstrated sense of ownership and effective project management - you have a fitness for investigating complex issues with creative solutions+ Relational skills - you're able to move between technical and non-technical language depending on the audience+ Normal curiosity - you enjoy digging deeper to find the higher perspective and are open to learning new technologies+ Client/Customer-Focused - you have strong relational skills, building relationships across teams and working to gain trust and advance business objectives+ Modesty - you're willing to contribute to the team, inner self to the side, with an enthusiasm about helping others; and+ Comfort with complex data and adaptability in dynamic conditions.
• **Preferred Qualifications:**
+ Experience using web frameworks (Django) and JavaScript libraries (ReactJS, JQuery) to build professional frontend and backend web applications focused on user experience+ Experience executing Docker containers.

• *Why Join careerzynith:**

• **Career Growth Opportunities:** careerzynith offers a dynamic and supportive environment that encourages growth and development. Our team is passionate about innovation and is committed to helping you achieve your career goals.
• **Learning Benefits:** We believe in the importance of continuous learning and offer a range of training and development opportunities to help you stay up-to-date with the latest technologies and trends.
• **Work Environment and Company Culture:** careerzynith is a collaborative and inclusive organization that values diversity and creativity. Our team is passionate about creating immersive experiences that captivate and inspire audiences around the world.

• *Compensation, Perks, and Benefits:**

• **Competitive Salary:** careerzynith offers a competitive salary that reflects your skills and experience.
• **Benefits:** We offer a range of benefits, including health insurance, retirement plans, and paid time off.
• **Perks:** careerzynith offers a range of perks, including flexible working hours, remote work options, and access to the latest technologies and tools.

• *Conclusion:**

If you are a talented and motivated individual who is passionate about data analysis and predictive modeling, we encourage you to apply for this exciting opportunity. careerzynith is a dynamic and forward-thinking organization that is constantly pushing the boundaries of what is possible. Our team is passionate about creating immersive experiences that captivate and inspire audiences around the world. We look forward to hearing from you.

• *Apply Now:**

If you believe you have what it takes, submit your application without delay. We are eager to hear from talented candidates like you.

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