At Company, a leading innovator in data-driven solutions, we’re expanding our team in Asunción, Paraguay. We’re looking for a Data Science Engineer to join us full-time, with the flexibility of remote work. This role offers an exciting opportunity to leverage your expertise in data science to influence product optimization and business strategies, especially focusing on US consumer behavior in online and social media platforms. Join our dynamic team and accelerate your career growth while working on impactful projects that drive measurable business results.
Key Responsibilities
- Analyze large, complex datasets to uncover actionable insights that improve product performance and operational efficiency.
- Develop and deploy predictive models and machine learning algorithms tailored to US consumer trends in digital and social media environments.
- Collaborate cross-functionally with product managers, engineers, and marketing teams to translate data insights into strategic recommendations.
- Design and implement scalable data mining techniques and automated data pipelines to support ongoing analytics needs.
- Monitor model performance and continuously optimize algorithms to enhance accuracy and business impact.
- Present findings clearly and effectively to stakeholders, enabling data-driven decision-making across departments.
- Stay current with emerging data science methodologies, tools, and industry trends relevant to consumer behavior analytics.
- Ensure data quality and integrity by applying rigorous validation and testing processes.
What We’re Looking For
Required:
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related field.
- Minimum 5 years of professional experience in data science or analytics roles.
- Proficiency in Python, R, SQL, and experience with machine learning frameworks such as TensorFlow or Scikit-learn.
- Strong understanding of US consumer behavior, especially within online and social media contexts.
- Experience working with large-scale datasets and cloud platforms like AWS or GCP.
- Excellent communication skills with the ability to explain complex data concepts to non-technical audiences.
Preferred:
- Experience in e-commerce or digital marketing analytics.
- Familiarity with data visualization tools such as Tableau or Power BI.
- Knowledge of A/B testing and experimental design.
- Demonstrated ability to mentor junior data scientists and foster team growth.
What We Offer
- Competitive salary aligned with industry standards in Paraguay and remote work flexibility.
- Health insurance coverage to support your well-being.
- Paid time off to maintain a healthy work-life balance.
- Retirement plan options for long-term financial security.
- Professional development opportunities including training, conferences, and certifications.
- Collaborative and inclusive culture fostering innovation and career advancement.
Frequently Asked Questions
Is this position fully remote? Yes, the role is remote eligible, allowing you to work from anywhere while collaborating with our Asunción-based team.
What is the expected salary range for this role? Salaries typically range between USD $2,500 and $4,500 per month, depending on experience and qualifications.
What level of experience is required? We require at least 5 years of relevant data science experience, with a strong background in consumer analytics.
Are there opportunities for career growth? Absolutely. We prioritize internal advancement and provide resources for continuous learning and leadership development.
What tools and technologies will I use? You will work with Python, R, SQL, machine learning frameworks, cloud platforms like AWS or GCP, and data visualization tools.
How can I apply? Apply today by submitting your resume and cover letter through our online portal. We review applications promptly and encourage early submissions.
For more information on data science career trends: Kaggle Data Science Survey 2023
Explore related roles: Data Science Fellow in Chicago, Staff Data Scientist in San Francisco
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Ready to take the next step in your data science career? Join Company and make an impact with your expertise. Apply today to be part of a forward-thinking team driving innovation in consumer analytics.