Position: Data Science
Company: SmartTek
Category: Data Science
Experience required: 5y
English level: upper
Published: 2023-09-01T00:00:00+03:00

**Responsibilities:**
- Analyze large, complex datasets to extract actionable insights and inform business strategies.
- Develop, refine, and implement machine learning algorithms and statistical models, including the use of Llama 2 and other recent innovations.
- Collaborate with cross-functional teams, including engineering, product, and business, to implement and integrate data-driven solutions.
- Present findings in clear and concise reports to both technical and non-technical stakeholders.
- Design and conduct experiments, A/B tests, to optimize and improve product offerings and operational strategies.
- Stay current with the latest research and trends in the field, ensuring that our methodologies remain cutting-edge.
- Ensure data quality and integrity throughout all analytical processes.
- Mentor junior team members, fostering a culture of continuous learning and knowledge sharing.

**Requirements:**
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. A Ph.D. is a plus.
- Proven experience in machine learning, data analytics, and predictive modeling.
- Proficiency with data science tools and frameworks such as Python, R, TensorFlow, Keras, or PyTorch.
- Familiarity with big data technologies such as Hadoop, Spark, or similar.
 - Strong SQL skills and experience with databases like PostgreSQL, MySQL, or NoSQL solutions.
- Excellent understanding of statistical analysis, hypothesis testing, and regression analysis.
- Ability to communicate complex data findings in a clear and concise manner.
- Strong problem-solving skills with a knack for thinking creatively.

**Will be a plus:**
- Experience with cloud platforms like AWS, GCP, or Azure.
- Familiarity with visualization tools such as Tableau, PowerBI, or Matplotlib;
- Previous experience in deploying and maintaining machine learning models in a production environment;
- Experience with Llama 2 or other large language models.