TGS The Global Skills
Website:
theglobalskills.com
Job details:
RESPONSIBILITIES
Core Data Science
• Gather, process, and clean large datasets from various sources, ensuring data integrity and quality for accurate analysis.
• Perform statistical analysis and interpret complex data to identify trends, patterns, and insights that inform business decisions.
• Develop, test, and deploy predictive models and machine learning algorithms to solve business problems and enhance decision-making processes.
• Create clear and effective data visualizations to communicate findings to stakeholders, facilitating data-driven decision-making.
• Work closely with cross-functional teams, including engineers, product managers, and business analysts, to understand business needs and translate them into data solutions, as well as present results and recommendations to non-technical stakeholders.
Organizational
• Develop and maintain excellent working relationships with all assigned levels within and outside the company
• Ability to convince others, in a potentially adversarial and highly technical environment, including customer leadership, VPs, directors & managers, staff, and vendors with opposing views to accept/approve plans, technical, and project recommendations
• Ability to negotiate on behalf of function to come to agreement by managing communications through discussions and compromise
Cross Functional
• Plan, organize, and prioritize multiple complex assignments and projects
• Read and interpret detailed and complex engineering product development and marketing documents, media materials, and contracts (or related documents) based on corporate legal and marketing standards and philosophy
Leadership
• Work independently and in a team environment in order to achieve personal and team goals and complete assignments within established time frames
• Ability to develop tasks and work assignments, clearly define objectives, and give direction with applied knowledge of alternatives and decision-making experience to guide subordinates
Experience Requirements
· Strong knowledge of statistical methods and particularly in the areas of predictive modeling/scoring.
· 3+ years experience in sales or marketing functions for consumer products, retail, tech, telecom, or financial industries
· 4+ years Statistical programming expertise: R required; Python & Spark preferred
· 3+ years Big data mining expertise: Hive & Impala required; SQL preferred
· Experience with NLP and LLMs (Hugging Face, OpenAI, Gemini, Langchain, etc.)
· Experience working in Cloud platforms (GCP, AWS, Azure or Databricks) is required. Google Cloud Platform preferred.
· Machine learning expertise: Recommendor systems, deep learning, GLM Regression (linear, logit, multinomial), kMeans/Hierarchical Clustering, Principle Component Analysis, & Decision Tree required;
· Data scale expertise: Regular use of data with high-volume (1TB+) & high-dimensionality (500+ variables per schema) required; clear understanding of Hadoop framework with hands-on experience both querying and applying statistics on massive data sets
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Physical/Mental Demands and Working Conditions:
· Work is generally performed in an office environment.
· Operate a computer keyboard and view a video display terminal 50% of work time, including prolonged periods of time.
· The movement and transportation of equipment, most of the time under 25 pounds.
· Performs work under time schedules and stresses which are normally periodic or cyclical, including time sensitive job stress, fatigue, unpaid over-time, intellectual challenge, constant technical data feedback, language barriers, and business management stress.
· Machines, tools, equipment, and work aids representative and commonly associated with PCs, printers, and office work areas.
· Frequently works additional hours beyond normal schedule.
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