
Unlock Business Value with Advanced Data Science Techniques
2 weeks ago
This is an exciting opportunity to join a forward-thinking team as a skilled data scientist. The ideal candidate will have a strong background in data analysis and be able to drive business value through the application of advanced data science techniques.
">Key Responsibilities:
- Maintain production forecast modeling pipeline, including model monitoring and refitting models as needed.
- Work closely with stakeholders to understand requirements, design and build effective solutions for complex business problems that may be loosely defined.
- Integrate data from multiple sources and build robust, cross-functional data assets to support analytics.
- Assess the effectiveness and accuracy of the data and data gathering techniques, determine materiality of data issues and challenges, disposition and recommend path forward.
- Perform multivariate and exploratory data analysis and communicate key findings to colleagues and stakeholders.
- Utilize statistics and machine learning to build predictive models and tools supporting business initiatives.
- Work closely with the team to perform complex analytics and data preparation tasks including feature engineering and brainstorming potential data sources, internal and external, that may contain predictive variables.
- Communicate and present findings, including visualizations, to stakeholders to ensure successful integration of projects into business process. Proactively follow up on any issues that were raised during presentations.
- Provide training guidance and assistance to colleagues.
For this role, we are looking for someone with excellent analytical skills and experience in working with data-driven tools and technologies. You will have a proven track record of delivering high-quality results under tight deadlines and possess excellent communication and interpersonal skills.
Key qualifications include:
- Bachelors degree in Computer Science, Data Science, Statistics or related field.
- Experience in Python programming language.
- Familiarity with time series modeling.
- At least 2 years' experience in data science-related roles.
- Excellent knowledge of SQL and data manipulation techniques.
- Ability to articulate complex technical concepts to both specialist and non-specialist audiences.
- Good working knowledge of relational databases.
- Quick learner who can adapt to rapidly changing stakeholder requirements.
Additional desirable skills include experience with cloud-based technologies, business acumen, and proficiency in data visualization tools.
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