Data Scientist

3 days ago


مصر, Egypt Software Club Full time

Software Club is looking for a **Data Scientist** based in Cairo.

**About Software Club**:
Software Club is the highest-level gateway into Software & Technology Investing

We are one of the fastest-growing under-the-radar companies in Europe, 100% bootstrapped, with a unique model and global leadership ambitions

We have developed unique expertise in Software & Technology and benefit from exclusive access to the best investment opportunities with a deep focus on B2B Software

Our team gathers top talents with diverse and international backgrounds. Our Research & Investment team has the strongest expertise in the ecosystem on B2B Software due diligence, and we are surrounded by a network of mentors including high-profile tech founders and investors

**Our Culture**:
Software Club gathers a group of highly talented international individuals of 15+ nationalities

The leadership team is composed of experienced investment professionals & management consultants (incl. ex-McKinsey/BCG consultants & managers).

Our advisory board is extremely high profile, including some of the most successful investors worldwide (incl. Managing Partners of the largest PE and Growth Equity funds, and Tech unicorn entrepreneurs).

We seek to develop a dream team of outstanding investment analysts with strong academic and professional achievements and a passion for investing and technology.

**About the role**:
Join our Paris team to have direct impact of building proprietary technology which will be powering up our investment execution and support in deploying meaningful insights of public and private software and tech companies, market insights & trends

**Your Responsibilities**:

- Play a key role in unlocking investment opportunities for tier 1 institutional investors such as Private Equity funds, by finding insights from data related to Software & tech companies
- Work with the Leadership & Product team to understand business needs and propose relevant approaches
- Extract and transform data about software companies, including financial data (e.g. revenue, growth, EBITDA, etc.), non-financial data (e.g., description, number of employees, HQ, etc.) and alternative data sets (e.g., Google news, social media, etc.) -from multiple sources including internal databases, web scraping, REST APIs, etc. to prepare for data analysis and modelling
- Design and develop Data science algorithms and Machine Learning models to implement use cases, e.g., designing supervised learning algorithms to classify Software & tech companies, implementing algorithms to map relations between companies (e.g., competitors)
- Contribute to industrializing these use cases to enable embedding insights in our products (Web platforms)
- Help grow the data science team by hiring data engineers & data scientists, and coaching them

**Qualifications**:
Across the firm, we attract motivated, intellectually curious, and rigorous professionals who are passionate about learning and creating impact.
- You have a Data Science background, with 3+ years of experience
- You are highly proficient in Python, and you have experience with Machine Learning libraries (e.g., TensorFlow, Scikit-learn, PyTorch, etc.) and ideally with web scraping frameworks such as Scrapy
- You have experience in training and deploying Machine Learning models
- You can present technical concepts to diverse, technical, and non-technical audiences
- You like to code following best practices (e.g., clean & simple code, continuous testing, version control)
- You like working in a team setting
- You are not afraid of challenges, are proactive and self-motivated

**Process**:

- Introduction interview
- Case study
- 2 Final interviews with Head of Data & Investment and founder
- This position is based in Cairo_

**Salary**: E£25,000.00 - E£35,000.00 per month

Ability to commute/relocate:

- Cairo: Reliably commute or planning to relocate before starting work (required)

**Experience**:

- machine learning: 2 years (preferred)

**Language**:

- english (preferred)


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