Position: Data Scientist
Company: Code&Care
Experience required: 1y
English level: intermediate

**Company Overview:**
We are a startup focused on developing a solution that enables efficient tracking and optimization of performance for engineering teams. Our mission is to empower organizations to make data-informed decisions, drive productivity, and maximize the potential of their engineering workforce. As a Data Scientist, you will play a crucial role in analyzing diverse datasets, developing advanced models and algorithms, and providing actionable insights to enhance team performance.

**Responsibilities:**
• Collect, clean, and preprocess large volumes of data from various sources, ensuring data quality and integrity.
• Perform exploratory data analysis to identify patterns, trends, and key performance indicators related to engineering team performance.
• Utilize statistical techniques, data mining algorithms, and machine learning methods, including linear regression, decision trees, random forests, neural networks, and natural language processing (NLP) models, to extract valuable insights from complex datasets.
• Apply NLP techniques such as sentiment analysis, topic modeling, named entity recognition, and text classification to analyze text data and derive relevant information.
• Develop and deploy predictive models, combining machine learning and NLP techniques, to predict and evaluate team performance metrics and optimize engineering team productivity.
• Use programming languages like Python, R, and SQL for building and training models on large datasets.
• Collaborate with stakeholders to understand their requirements and provide analytical support to address their needs.
• Translate complex data analyses into actionable insights and present findings to stakeholders effectively.
• Conduct experiments and A/B testing to evaluate the effectiveness of new algorithms and data-driven strategies.
• Continuously enhance and optimize existing models, algorithms, and data processes to improve accuracy and performance.

**Qualifications:**
• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Demonstrated experience in data science, machine learning, and statistical analysis, with at least 1-2 years of relevant work experience in a professional setting.
• Proficiency in programming languages such as Python or R, with a focus on data manipulation and machine learning libraries.
• Strong understanding of statistical analysis, data mining, and machine learning techniques.
• Familiarity with SQL and database systems for data querying and manipulation.
• Experience in applying machine learning models such as linear regression, decision trees, random forests, neural networks, and natural language processing (NLP) models.
• Previous experience working in a startup environment is a plus, demonstrating adaptability and the ability to work in a fast-paced, dynamic setting.
• Strong analytical thinking, problem-solving, and communication skills.
• Ability to work collaboratively in a team-oriented environment.
• Intermediate level of English, both written and spoken.