eCommerce Performance and Growth Data Scientist
eCommerce Performance and Growth Data Scientist
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
5years
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
This is a remote position.
Requirements
Key Responsibilities
- Design and implement datadriven strategies to improve eCommerce performance and drive growth for our clients
- Lead endtoend data science projects from gathering requirements to deploying machine learning models
- Develop and optimize predictive models for customer behavior conversion rates and ROI
- Analyze campaign data across various channels to identify trends opportunities and areas for improvement
- Create and maintain dashboards and reports to track key performance indicators (KPIs) for eCommerce and digital marketing efforts
- Collaborate with crossfunctional teams to implement datadriven solutions and optimize marketing strategies
- Mentor junior team members and provide guidance on complex data science concepts
Required Skills and Qualifications
- Advanced degree in Computer Science Statistics Mathematics or a related field
- 57 years of experience in data science with a focus on eCommerce and digital marketing
- Proficiency in Python R SQL and big data technologies such as Hadoop and Spark
- Strong background in machine learning statistical analysis and predictive modeling
- Experience with data visualization tools and techniques
- Expertise in A/B testing and experiment design
- Indepth knowledge of SEO SEM and other digital marketing channels
- Excellent communication skills with the ability to present complex data insights to nontechnical stakeholders
Key Attributes
- Strategic thinker with a strong business acumen
- Ability to work in a fastpaced environment and adapt to changing priorities
- Passionate about leveraging data to drive business growth and innovation
- Collaborative mindset with excellent team leadership skills
Benefits
Benefits of Working with Us
- Fully remote work environment allowing for flexibility and worklife balance
- Collaborative team focused on driving performance and growth in eCommerce
- Opportunity to work with cuttingedge technologies and methodologies in data science
- Continuous learning and professional development opportunities
Technical Skills Advanced proficiency in programming languages such as Python, R, and SQL Expertise in machine learning algorithms, statistical analysis, and modeling techniques Experience with big data technologies like Hadoop and Spark Proficiency in data visualization tools such as Tableau Knowledge of cloud platforms (e.g., AWS) Analytical Skills Advanced data analytics capabilities, including web analytics and Google Analytics Ability to design experiments and perform attribution modeling Forecasting and predictive modeling skills Expertise in SEO and website analytics Business and Marketing Skills Understanding of eCommerce metrics and KPIs Digital marketing technology proficiency Ability to analyze campaign data across various digital channels Soft Skills Strong analytical thinking and problem-solving abilities Excellent communication skills, both verbal and written Project management and leadership capabilities Creativity and teamwork Education and Experience Advanced degree in Computer Science, Stati
Education
Advanced degree in Computer Science, Statistics, Mathematics, or related field 5+ years of experience in data science, with a focus on eCommerce and digital marketing Proficiency in Python, R, SQL, and cloud-based platforms (GCP, Azure, AWS) Strong background in machine learning, statistical analysis, and data visualization Experience with big data technologies such as Hadoop and Spark Excellent communication skills and ability to translate complex data into actionable insights
Employment Type
Full Time
