Data Scientist at Waya Multilink

About the job

• We are looking for a Data scientist to utilize their analytical, statistical, and programming skills to collect, analyze, and interpret large data sets.
• Then use this information to develop data-driven solutions to difficult business challenges.
• They should have a wide range of technical competencies including: statistics and machine learning, coding languages, databases, and reporting technologies.
• The ideal candidate's favorite words are learning, data, scale, and agility.
• You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Responsibilities

• Analyze raw data: assessing quality, cleansing, structuring for downstream processing
• Design accurate and scalable prediction algorithms
• Collaborate with engineering team to bring analytical prototypes to production
• Generate actionable insights for business improvements
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Develop company’s testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

Qualifications

• Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• At least 1 - 2 years' of experience in quantitative analytics or data modeling
• Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
• Fluency in a programming language (Python, C,C++, Java, SQL)
• Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
• Bachelor's degree in statistics, math, computer science, or engineering.
• Strong problem solving skills with an emphasis on product development.
• Experience using statistical computer languages (R, Python, SQL, Spark etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• Minimum of 3 years of experience manipulating data sets and building statistical models, and is familiar with the following software/tools:
• Coding knowledge and experience with several languages: Cloud infrastructure (AWS, Azure) etc.
• Knowledge and experience in statistical and data mining techniques: Random Forest, text mining, social network analysis, etc.
• Experience querying relational and non-relational databases and using statistical computer languages: R, Python, SQL, etc.
• Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
• Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
• Experience visualizing/presenting data for stakeholders using: Power BI, Tableau, Qlick sense, Matplotlib etc.