Position: Middle Data Scientist
Company: InsightMind
Category: Data Science
Experience required: 3y

**Job Summary:**

We are looking for a Mid-level Data Science Specialist to support and develop our company's data-driven initiatives. The successful candidate will possess strong analytical skills and be responsible for applying statistical analysis, data visualization, data mining, and machine learning techniques.

**Key Responsibilities:**

1. Utilize statistical data analysis techniques to draw insights and trends from structured and unstructured data sets.
2. Develop and implement machine learning models, predictive models, and optimization algorithms for various business applications.
3. Assist in designing and building data-intensive applications for data collection, analysis, reporting, and decision making.
4. Work closely with stakeholders to identify opportunities for leveraging data to drive business solutions.
5. Aid in the design and implementation of data governance and data quality management.
6. Communicate complex quantitative analyses in a clear, precise, and actionable manner to non-technical audiences.
7. Maintain up-to-date knowledge of data science trends, emerging technologies, and best practices.

**Qualifications:**

1. Minimum 3-5 years of experience in data science, machine learning, AI, or related field.
2. Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, and multivariate testing.
3. Proficient with one or more programming languages such as Python, R, SQL.
4. Experience using machine learning libraries, such as Scikit-learn, TensorFlow, PyTorch, or similar.
5. Excellent understanding of machine learning algorithms, processes, tools and platforms including supervised/unsupervised learning, and predictive modeling.
6. Ability to work with large data sets, including data cleaning and transformations.
7. Strong communication skills with the ability to present data-driven insights to non-technical stakeholders.
8. Self-starter with the ability to work independently and as part of a team.

If you are an adept data scientist passionate about creating and implementing statistical models, extracting insights from data, and possess hands-on experience with machine learning tools and techniques, then we encourage you to apply for this exciting opportunity.