Data Scientist - Neural Networks (3-8 yrs)

Education :

- Bachelors or Masters degree in Mathematics, Computer Science, Statistics, Data Science, or a related field.

Experience :

- Over 2-8 years of experience in a Data Scientist or Data Engineer role, with demonstrated leadership abilities.

Leadership :

- Proficient in guiding and mentoring junior team members to foster growth and development.

Technical Expertise :

- Experienced in statistical and data mining techniques, including Regression, Random Forest, Boosting, text mining, neural networks, and clustering.

Machine Learning :

- Skilled in developing, deploying, and scaling machine learning models using Amazon Bedrock, Google Vertex AI, Azure OpenAI, or similar platforms.

Analytics Integration :

- Adept at integrating advanced analytics capabilities into various applications and systems to enhance functionality.

Data Analysis :

- Proficient in analyzing large datasets to extract actionable insights and influence business strategies.

Statistical Acumen :

- In-depth understanding of statistical concepts and methodologies.

Skill Set :

- Proficient in Python, SQL, Angular, JavaScript, and Elasticsearch.

Frameworks :

- Experience with frameworks such as scikit-learn and TensorFlow for model development.

Cloud Optimization :

- Expertise in optimizing the performance of machine learning pipelines and

ensuring seamless cloud integration across Amazon, Google, and Azure environments.

Problem-Solving :

- Strong problem-solving, analytical, and communication skills, with the ability to effectively collaborate across teams.

- Knowledge of software development best practices, including testing, git, and code reviews, with experience in maintaining models.

- Experience working with Docker containers for reproducible data science workflows.

- Experience with real time inference and stream processing is advantageous

- Basic understanding of mathematical optimization is beneficial.