SKILLS REQUIRED
⦁ 2+ years of experience in the Data Science Engineer role
⦁ Strong analytic skills related to working with structured, semi structured and unstructured datasets
⦁ Advanced Machine learning techniques: Decision Trees, Random Forest, Boosting Algorithm, Neural Networks, Deep Learning, Support Vector Machines, Clustering, Bayesian Networks, Reinforcement Learning, Feature Reduction / engineering, Anomaly deduction, Natural Language Processing (incl. sentiment analysis, Topic Modeling), Natural Language Generation
⦁ Statistics / Mathematics: Data Quality Analysis, Data identification, Hypothesis testing, Univariate / Multivariate Analysis, Cluster Analysis, Classification/PCA, Factor Analysis, Linear Modeling, Time Series, distribution / probability theory
⦁ and/or Strong experience in specialized analytics tools and technologies (including, but not limited to)
⦁ Python, R
⦁ Power BI, Tableau
⦁ Awareness of Apache Spark, Hadoop
⦁ Awareness of Agile / Scrum ways of working
⦁ Identify the right modeling approach(es) for given scenario and articulate why the approach fits
⦁ Assess data availability and modeling feasibility
⦁ Review interpretation of models results
⦁ Experience in Logistic industry domain would be added advantage
WHAT YOU SHOULD HAVE:
⦁ University Degree in Computer Science, Information Systems, Business Administration, or related field
⦁ Certifications in some of the core technologies
⦁ Ability to collaborate across different teams/geographies/stakeholders/levels of seniority
⦁ Customer focus with an eye on continuous improvement;
⦁ Energetic, enthusiastic and results-oriented personality
⦁ Ability to coach other team members, you must be a team player!
⦁ Strong will to overcome the complexities involved in developing and supporting data pipelines