Softworld, Inc.
https://cdn.haleymarketing.com/templates/62150/logos/softworldinc-hml.png
http://www.softworldinc.com
http://www.softworldinc.com
USD
135
145
HOUR
true
Job Title: eCommerce Data Scientist
Job Location: Denver CO 80014
Onsite Requirements:
Job Description:
Responsibilities:
Data Analysis and Modeling:
Insight Generation:
Experimentation and A/B Testing:
Data Visualization and Reporting:
Continuous Improvement:
Qualifications:
**3rd party and subcontract staffing agencies are not eligible for partnership on this position. 3rd party subcontractors need not apply.
This position requires candidates to be eligible to work in the United States, directly for an employer, without sponsorship now or anytime in the future.**
eCommerce Data Scientist
Posted: 05/15/2024
2024-05-15
2024-06-21
Employment Type:
Perm
Industry: IT
Job Number: BBBH76654_1715794363
Pay Rate: US$135 - US$145 per year
Job Description
Job Title: eCommerce Data Scientist
Job Location: Denver CO 80014
Onsite Requirements:
- 5+ years of Data Science and/or data analytics experience.
- eCommerce or online Retailer project experience.
- Data Lake experience.
Job Description:
- Data Scientist to join client's thriving eCommerce team.
- As a Data Scientist, you will play a pivotal role in leveraging data-driven insights to optimize our online platform, enhance the customer experience for a renowned line of hemp-derived CBD products as well as improve overall business growth for the company considering product, finance, marketing, and eCommerce.
- This position offers a unique opportunity to apply advanced analytics techniques in a rapidly growing industry, driving impactful decision-making and contributing to the success of a leading wellness brand.
Responsibilities:
Data Analysis and Modeling:
- Analyze extensive datasets encompassing customer interactions, sales trends, and product performance to extract valuable insights.
- Utilize statistical methods and machine learning techniques to analyze large datasets related to customer behavior, sales, inventory, and marketing.
- Develop predictive models to forecast sales, identify trends, and anticipate customer preferences, thereby optimizing inventory management and product recommendations.
Insight Generation:
- Identify key metrics and performance indicators to measure the effectiveness of marketing campaigns, website features, and product offerings.
- Extract actionable insights from data to support strategic business initiatives, such as pricing optimization, personalized marketing campaigns, and product assortment planning.
- Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions that drive value.
Experimentation and A/B Testing:
- Design and execute A/B tests to evaluate the impact of website optimizations, promotional activities, and customer engagement strategies, iterating based on data-driven/empirical findings.
Data Visualization and Reporting:
- Collaborate with marketing, sales, and product teams to provide regular updates and insights derived from data analysis, guiding decision-making processes.
- Develop visually compelling dashboards and reports using tools like Looker, Tableau or Power BI to communicate findings and performance metrics to stakeholders, enabling data-driven decision-making at all levels of the organization.
Continuous Improvement:
- Stay informed about industry trends, emerging technologies, and best practices in data science and e-commerce, applying new methodologies to enhance our analytical capabilities and drive continuous improvement and maintain a competitive edge in the eCommerce landscape.
Qualifications:
- Bachelor's degree in computer science, Statistics, Mathematics, Economics, or related quantitative field.
- Proven experience (6-9 years) as a Data Scientist or similar role in an eCommerce or retail environment.
- Proficiency in programming languages such as Python, R, or SQL, with hands-on experience in data manipulation, analysis, and modeling.
- Building out data lake cloud infrastructure within solutions like AWS, Snowflake, Databricks, Cloudera, Google Cloud, Azure, etc.
- Strong understanding of statistical concepts and machine learning algorithms, with the ability to apply them effectively to real-world problems.
- Proficient with implementing a data lake.
- Experience with data analytics, visualization tools (e.G., Looker, Tableau, Power BI, Domo, etc.) and proficiency in crafting compelling visualizations to convey insights.
- Excellent communication and collaboration skills, with the ability to effectively present complex findings to both technical and non-technical stakeholders.
- Prior experience working with eCommerce platforms, familiarity with web analytics tools (e.G., Google Analytics), and knowledge of digital marketing concepts are desirable.
**3rd party and subcontract staffing agencies are not eligible for partnership on this position. 3rd party subcontractors need not apply.
This position requires candidates to be eligible to work in the United States, directly for an employer, without sponsorship now or anytime in the future.**
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