AddressPosition Overview:
In an industry that is constantly on the move and evolving, the role of a Data Scientist requires a talented individual with strong technical acumen in modern cloud architectures and the ability to solve complex problems with team members to work on challenging Data Analytics and Optimization problems in the media domain. Data Scientist who has hands on from concept to delivery on statistical analysis, prescriptive and predictive analysis, and machine learning implementation projects.
Duties/Responsibilities:
- Responsible for design, development and deployment of analytics solutions and automation tools for Optimization and predictive models
- Ability to understand a business problem and the available data and identify what statistical or ML techniques can be applied to answer a business question.
- Given a business problem, estimate solution feasibility and potential approaches based on available data. Understand what data is available, where, and how to pull it together. Work with partner teams
- Quickly prototype solutions and build models to test feasibility of solution approach.
- Build statistical models/ ML models, train and test them to and drive towards the optimal level of model performance.
Education, Experience, and Requirements
- A degree in Computer Science, Math, Physics, Operations Research, or equivalent quantitative discipline with upto 4 years of experience.
Required Skills/Abilities:
- Coding experience in Python/R, Statistics, SQL, Understanding of ML algorithms and usage to drive insights. A strong level of proficiency in Python is preferable.
- Strong problem-solving skills with an emphasis on product development.
- A strong grounding in applied statistical modelling and a strong grasp of statistical concepts. Must be comfortable in the world of numbers, models, and algorithms.
- Willingness to dive deep and work on difficult and ambiguous problems with unknow outcomes.
- Ability to partner and work efficiently with teams and business is critical.
- Strong grasp of machine learning, data mining and data analytics techniques Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
- Knowledge of optimisation (Linear programming) is an advantage.
- Excellent written and verbal communication skills for coordinating across teams.
Physical & Other Requirements:
- Hybrid work model, 3 days work from office.
- Coding experience in Python/R, Statistics, SQL, Understanding of ML algorithms and usage to drive insights. A strong level of proficiency in Python is preferable.
- Strong problem-solving skills with an emphasis on product development.
- A strong grounding in applied statistical modelling and a strong grasp of statistical concepts. Must be comfortable in the world of numbers, models, and algorithms.
- Willingness to dive deep and work on difficult and ambiguous problems with unknow outcomes.
- Ability to partner and work efficiently with teams and business is critical.
- Strong grasp of machine learning, data mining and data analytics techniques Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
- Knowledge of optimisation (Linear programming) is an advantage.
- Excellent written and verbal communication skills for coordinating across teams.
Physical & Other Requirements:
- Hybrid work model, 3 days work from office.
