Requirements: ● Minimum of 2 years of experience in a senior data science role. ● Strong mathematical and statistical skills, with experience in statistical inference and handling large datasets. ● Proficient in multiple supervised and unsupervised machine learning techniques. ● Excellent problem-solving and analytical skills, with the ability to structure complex business problems. ● Proficiency in Python, SQL, Git, and Docker. ● Basic coding skills in at least one of the following languages: C
Requirements: ● Minimum of 2 years of experience in a senior data science role.
● Strong mathematical and statistical skills, with experience in statistical inference and handling large datasets.
● Proficient in multiple supervised and unsupervised machine learning techniques.
● Excellent problem-solving and analytical skills, with the ability to structure complex business problems.
● Proficiency in Python, SQL, Git, and Docker.
● Basic coding skills in at least one of the following languages: C#, Java, C, C++, or Scala.
Preferred Qualifications:
● Hands-on experience with Hadoop.
● Knowledge of the Ad Tech industry.
,[Develop and apply advanced machine learning and statistical algorithms to large data sets, Identify and target the most meaningful advertisements for users at optimal times and prices., Segment web users based on behaviors and interests across billions of transactions., Detect and eliminate suspicious or non-human traffic., Collaborate closely with Data Scientists, development, and product teams to implement algorithms into production-level software., Identify opportunities to leverage company data to drive innovative business solutions., Maintain and support existing products, analyzing the decisions made by our algorithms, and seek continuous improvements., Engage in hands-on development of advanced algorithms, ensuring scalability and efficiency.]
Requirements: Python, Data science, Machine learning, SQL, Git, Docker, Java, C, C++, Scala, Hadoop