TGS The Global Skills
Website:
theglobalskills.com
Job details:
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.
- · Under very little direct supervision with a high level of responsibility to apply general policies and guidelines where decisions are seldom monitored and consequences of decisions adversely affect operating results and management decisions. Complete access to confidential company data where disclosure may jeopardize the company’s competitive position.
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