Data Scientist

Responsibilities:

▪ Apply machine learning and statistical techniques including regression models, decision trees, random forests, gradient boosting, support vector machines, clustering, and topic models ▪ Conduct data-cleansing for the purpose of purging and eliminating corrupt or redundant information ▪ Develop solutions that bring critical insights to wide scale of different problems such as targeting customers and segmenting markets, product design, marketing optimization, demand forecasting and brand valuation, profit, and price analyses ▪ Develop, prototype and test machine learning algorithms on data sets ▪ Generating reports and dashboards from single or multiple systems ▪ Keep abreast of new and current statistical methodologies, machine learning and data wrangling techniques ▪ Prepare various sources of data using data wrangling methods in Python, R and SQL, leveraging infrastructure including Cloud computing solutions and relational database environments ▪ You will work with different teams to assess client demands and suggest data science methods that provide practical, value-added answers to the client and business functions.

Qualifications:

Previous work experience in a related field is a plus Education: * Bachelors or master’s degree in a quantitative discipline such as Statistics, Mathematics or Computer Science Skills & Competencies required: Behavioral Skills * Conceptual thinking * Creative thinking * Detail orientation Functional and Technical Skills * Business acumen * Consultative problem solving / consulting * Experience with dashboard and reporting tools such as Tableau/Power BI and Qlik * Proficiency in SQL is a plus * Proficiency with data wrangling, visualization, and modeling in either R or Python is required * Statistical modeling * Strong foundation in Mathematics and Statistics * Understanding of future technologies

Salt is acting as an Employment Agency in relation to this vacancy.