PLEASE NOTE: This is an early stock-option, entrepreneurial opportunity - not a salaried job.
Compensation:
We are a pre-money start-up with ~20 members internationally remote, passionate members contributing sweat equity for early stock options. The stake shared is the 'fair market stake basis' for startups for the role's equity value and potential future stake post-launch. This means that the stake mentioned is based on what is considered fair within the market for startup companies. It takes into account both the equity (ownership in the company) being offered and the potential stake that could be earned in the future, especially after the startup has been launched. Essentially, it's a way to determine a reasonable compensation package for a particular role within a startup, considering both current and future possibilities.
Job Description:
We are seeking a skilled and experienced Data Science Specialist to join our remote team. As a Data Science Specialist, you will play a crucial role in analyzing and interpreting complex data to drive business decisions and enhance our web applications. Your expertise in data science techniques and machine learning algorithms will be invaluable in uncovering insights and patterns that fuel our system's continuous improvement and success.
The company:
RI Software is a progressive and modern Ukrainian startup company founded by a team of like-minded individuals with the goal of improving the efficiency of businesses and fostering their development to enhance the overall economy of the countries where our services are available. Consequently, our team has successfully created RI Business. Of course, we have no intention of stopping here; we have ambitious plans that we are determined to bring to fruition.
We are seeking someone who:
* has experience in the startup ecosystem and/or is looking to expand to more disruptive Saas industries;
* has an open mind to a unique venture that makes everybody curious and many to consider joining an early-stage startup to earn ownership options;
* appreciates and considers investing their time entrepreneurially;
* is consistently available at least 5 days a week with a 4-hour schedule (either 6 am - 10 am or 10 am-2 pm).
Responsibilities:
- Utilize advanced data science techniques to extract meaningful insights from large datasets, enabling data-driven decision-making.
- Collaborate with the back-end and front-end development teams to integrate data science solutions into our web applications.
- Design, develop, and implement machine learning models to enhance user experience and optimize system performance.
- Conduct in-depth analysis of user behavior, market trends, and application performance, providing actionable recommendations.
- Work with various data sources, including structured and unstructured data, to gain a comprehensive understanding of the business landscape.
- Explore and implement predictive analytics to improve user targeting, product recommendations, and business forecasting.
- Collaborate with cross-functional teams to define key performance indicators (KPIs) and track performance metrics.
- Ensure data privacy and security compliance, implementing measures to safeguard sensitive information.
- Stay updated on the latest data science advancements and best practices, continuously enhancing your skills and knowledge.
Qualifications:
- Proven experience as a Data Science Specialist, with a focus on data analysis, machine learning, and predictive modeling.
- Strong knowledge of Python
- Strong knowledge of data manipulation, cleaning, and visualization techniques.
- Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, or PyTorch).
- Familiarity with database systems and querying languages (e.g., SQL).
- Ability to interpret and communicate complex data insights to both technical and non-technical stakeholders.
- Strong problem-solving skills and the ability to work independently as well as collaboratively in a remote team environment.
- Excellent communication skills and the ability to effectively convey complex technical concepts.
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