Data Scientist/Analyst в RapidSeedbox ltd

Our core values are:

Our core values are:

✔️Excellence in everything we do (“I go above and beyond”)

✔️Ownership and responsibility (“I own it”)

✔️Continuously push the limits (“I don’t accept no as an answer. No is just an option”)

✔️Openness & cooperation (“Everyone matters”)

We are a remote SaaS company with a mission to provide online anonymity to people worldwide. With a rich history in the Hosting and Networking domain, we've been operating in the anonymity space since 2008, serving thousands of active clients. With a clear vision for the future, our remote, passionate, and diverse team is continuously expanding, and we are on the lookout for talented individuals to join us on our exciting journey.

About the Role:

The ultimate mission of a Data Scientist is to generate actionable insights that can guide strategic decisions. The Data Scientist should be able to communicate these insights clearly to stakeholders, enabling them to understand the data's implications for the business.

A core mission is to understand and prepare data for analysis. This involves collecting, cleaning, and managing data from various sources to ensure it is accurate and usable for making informed decisions.

What you’ll be responsible for:

• Enhanced Decision-Making: One of the primary outcomes is to empower leadership and key stakeholders with data-driven insights that inform strategic and operational decisions. This includes identifying trends, predicting future outcomes, and providing evidence-based recommendations that improve business performance. This can be done by making sure all data is correct, organized and we can analyze things to the most granular way.
• Increased Efficiency and Cost Savings: By analyzing and optimizing processes, you can identify areas where resources can be used more effectively, leading to cost reductions and increased operational efficiency. This might involve automating routine data processes, improving supply chain logistics, or optimizing resource allocation.
• Advanced Reporting Capabilities: Implement advanced reporting tools and dashboards that provide real-time insights into key performance indicators (KPIs), operational metrics, and strategic goals. These tools should be user-friendly and customizable, allowing non-technical users to generate reports and visualize data insights independently.
• Data Quality and Integrity: Establish and enforce rigorous data governance and quality control measures to ensure the accuracy, completeness, and reliability of the data used for analysis and reporting. This includes setting up processes for regular data cleansing, validation, and deduplication.
• Custom Analytics Solutions: Develop custom analytics solutions and models that address specific business questions or challenges. These solutions should be designed to easily integrate with existing reporting tools, enhancing the organization's ability to derive actionable insights from complex datasets. Being able to create any custom report management and leadership asks for.
  
  You’ll be a great fit if you have:
• Proficiency in GA4 and substantial experience in Google Analytics with 3+ years of experience.
• Experience in SaaS and e-commerce businesses.
• Efficiency. Able to produce significant output with minimal wasted effort.
• Analytical skills. Able to structure and process qualitative or quantitative data and draw insightful conclusions from it. Exhibits a probing mind and achieves penetrating insights.
• Attention to detail. Do not let important details slip through the cracks or derail a project. No data is irrelevant.
• Proactivity. Acts without being told what to do. Brings new ideas to the company on how we can be a better data-driven organization.
• Flexibility/adaptability. Adjusts quickly to changing priorities and conditions and can adjust the data lake to the needs of the organization. Copes effectively with complexity and change.
• Statistical Analysis and Mathematical Skills: A strong foundation in statistics and mathematics is crucial for building predictive models and interpreting data. This includes knowledge of probability, statistical tests, and various mathematical algorithms that are fundamental to data analysis.
• Programming and Data Manipulation: Proficiency in programming languages such as Python or R is essential for data manipulation, analysis, and model building. Skills in SQL for data retrieval, pandas for data manipulation in Python, or dplyr in R are also important.
• Data Visualization and Reporting: The ability to present data in a clear, insightful, and visually appealing way is key to communicating findings to stakeholders. Competence in data visualization tools like Tableau, Power BI, or even Python libraries like Matplotlib and Seaborn is vital.
  
  What’s in it for you:
• Remote Work: Enjoy the flexibility of working 100% remotely from the comfort of your home or any location worldwide.
• Unlimited Vacation: Take as many vacation days as you need to ensure you are well-rested and ready to tackle new challenges.
• Professional Growth: As we are a small company, you'll have the chance to engage with various aspects of the business, fostering your professional development.
• Emergency Fund: We offer an interest-free emergency fund with comfortable payouts to help you in times of need.
• Company Retreats: While we are a fully remote company, we believe in teamwork and we want you to feel you belong here. We strive to organize yearly company retreats where everyone is invited. We believe in hard work, but also in having a good time!
  
  Interview flow:
• Application: Everything starts with getting in touch. The best way to express your interest is by applying online.
• HR Interview: If your profile aligns with our requirements, we'll invite you for an HR interview.
• Technical Interview/Test: You may undergo a technical interview or complete a relevant test.
• Online Interviews: You may have up to three online interviews with various team members.
• Reference Check: We will kindly request you to arrange a reference check before we extend a job offer.
  
  If this opportunity resonates with you, we are excited to meet you and welcome you to the RapidSeedbox team!