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Senior Statistician Jobs
Company | Dimensions Consulting |
Address | Greater Toronto Area, Canada |
Employment type | CONTRACTOR |
Salary | |
Expires | 2023-07-12 |
Posted at | 11 months ago |
We are seeking a highly skilled and experienced Senior Statistician to join e-commerce fashion retailer client. The Senior Statistician will play a critical role in analyzing vast amounts of data to identify trends, patterns, and insights that will drive strategic decision-making and improve overall business performance. The successful candidate will work closely with cross-functional teams to provide statistical expertise and support in various areas of business operations.
Qualifications:
- Data Analysis Tools: Strong proficiency in statistical software such as R, Python (including libraries like NumPy, pandas, and scikit-learn), or SAS. Experience with SQL and data visualization tools (e.g., Tableau, Power BI) is highly desirable.
- E-commerce Knowledge: Familiarity with e-commerce platforms, online marketing analytics, customer segmentation, conversion optimization, and A/B testing methodologies.
- Education: A master's or Ph.D. degree in Statistics, Mathematics, Economics, or a related field is required.
- Experience: A minimum of 5 years of hands-on experience in statistical analysis, preferably in an e-commerce or retail environment.
- Problem-Solving Abilities: Strong analytical and critical thinking skills to identify business challenges, formulate research questions, and propose data-driven solutions.
- Communication Skills: Excellent verbal and written communication skills to effectively convey complex statistical concepts and insights to both technical and non-technical stakeholders.
- Statistical Expertise: Proficiency in advanced statistical techniques, such as regression analysis, forecasting, data modeling, hypothesis testing, experimental design, and sampling methods.
Responsibilities:
- Data Visualization: Develop visually compelling dashboards, reports, and presentations to effectively communicate complex statistical findings and insights to stakeholders at all levels of the organization.
- Experiment Design and A/B Testing: Collaborate with cross-functional teams to design experiments and A/B tests, analyze results, and provide actionable recommendations for optimizing website performance, marketing campaigns, pricing strategies, and other key business initiatives.
- Research and Innovation: Stay up to date with the latest advancements in statistical methodologies, machine learning techniques, and industry best practices. Continuously identify opportunities to improve data analysis processes and methodologies.
- Statistical Modeling and Predictive Analytics: Develop and implement predictive models and machine learning algorithms to forecast key business metrics, identify growth opportunities, and enhance customer experience.
- Statistical Analysis: Apply advanced statistical methodologies to large and complex datasets, conducting data mining, modeling, and forecasting to extract meaningful insights and support strategic decision-making across the company.
- Data Quality and Validation: Assess the quality, reliability, and validity of data sources, ensuring accuracy and consistency throughout the data analysis process. Implement data cleansing and preprocessing techniques as necessary.
- Collaborative Partnerships: Collaborate with data scientists, business analysts, marketing teams, and other stakeholders to define analytical requirements, share insights, and drive data-informed decision-making across the organization.
The Senior Statistician will play a vital role in leveraging data-driven insights to optimize business operations, enhance customer experience, and drive growth. This is an exciting opportunity for an experienced statistician to make a significant impact and contribute to the success within eCommerce fashion retail space.
This role is an equal employment opportunity to all individuals, regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, or any other characteristic protected by applicable laws. All hiring decisions are made based on qualifications, skills, and experience relevant to the job requirements.
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