"Alerted.org

Job Description

Day-to-Day:

Our streaming client is looking for a Data Scientist to join their Direct-to-Consumer Data Science team. This individual will be responsible for creating analytical solutions for one or more verticals of their video streaming service including, but not limited to, automated marketing, personalized advertisement, commerce and revenue optimization systems, customer journey and CRM solutions. They will heavily leverage consumer insights to build out causal models, prediction models, pseudo-experimentation models to better understand the subscribers customer journey.

In this role, the Senior Data Scientist will use advanced data science methodologies including collaborative filtering, deep learning, reinforcement learning, on-line modelling, etc. and work closely with business owners, teammates, and engineers to build a state-of-the-art real-time video streaming service.

Responsibilities include:

Develop predictive models using statistical, machine learning and data mining methodologies.

Apply cleansing, discretization, imputation, selection, generalization etc. to create high quality features for the modelling process.

Work with business stakeholders to define business requirements including KPI and acceptance criteria.

Use big data, relational and non-relational data sources to access data at the appropriate level of granularity for the needs of specific analytical projects. Maintains up to date knowledge of the relevant data set structures and participate in defining necessary upgrades and modifications.

Collaborate with software and data architects in building real-time and automated batch implementations of the data science solutions and integrating them into the streaming service architecture.

Drive work on improving the codebase and machine learning lifecycle infrastructure.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

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Skills and Requirements

4+ years of experience in advanced analytics and data science using Python, SQL, and PySpark

Experience working in a cloud environment (GCP, AWS, Databricks)

Experience with Causal Discovery tools, Causal ML and experimentation

Deep knowledge of statistical methods and machine learning with special emphasis on the advanced algorithms like neural networks, SVM, random forests, bagging, gradient boosting machines, k-means++, deep learning or reinforcement learning.

Experience with data visualization tools and techniques.

Understanding of algorithmic complexity of model training and testing, particularly for real-time and near real-time models. Background in retail or media industry (digital commerce) null

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].