Data Scientist Lead

• Lead the end-to-end development and deployment of machine learning models advanced algorithms and AI-driven solutions to extract actionable insights from large diverse datasets.

• Collaborate closely with software engineers data engineers and business teams to identify high-impact opportunities for applying data science to strategic business problems.

• Design and implement robust data pipelines and ETL workflows to collect clean and integrate data from various structured and unstructured sources.

• Conduct in-depth exploratory data analysis and apply statistical modeling techniques to detect trends patterns and business drivers.

• Build evaluate and deploy predictive models and forecasting algorithms that support operations planning and growth strategies.

• Develop intuitive data visualization dashboards and reports to communicate findings clearly to stakeholders at all levels.

• Stay current with the latest advancements in machine learning artificial intelligence and big data technologies and assess their potential integration into Code81s ecosystem.

• Ensure that all data science practices adhere to data privacy regulations and governance standards.

Qualifications:

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

• 7 years of hands-on experience in data science machine learning or related analytical roles.

• Strong proficiency in Python R or Java with in-depth knowledge of libraries such as Pandas NumPy Scikit-learn TensorFlow and Matplotlib.

• Extensive experience in machine learning techniques including supervised and unsupervised learning deep learning regression classification and clustering.

• Solid understanding of data engineering principles with experience using SQL Spark Hadoop or other distributed computing tools.

• Demonstrated success in translating complex business requirements into scalable data-driven solutions.

• Excellent communication and interpersonal skills with the ability to convey technical concepts to non-technical audiences and lead cross-functional initiatives.

• Experience in leading or mentoring junior data scientists or analysts is a plus.

Skills & Professional Requirements:

• Good verbal & written communication skills.
• Experience of contributing to proposal writing presentations and pre-sales activities.
• Demonstrate an understanding of AI/ML.
• Excellent communication skills.
• Skilled in Cloud solutions like AWS Azure or GCP is a plus.

Additional Information:

Languages/Technologies: Java/J2EE ReactJS JQuery JSON HTML JavaScript CSS PLSQL. Additional: Angular 7 VueJS AngularJS. Frameworks: Spring Boot Spring 4(MVC ORM AOP SECURITY Batch) Struts 2 Hibernate 3. Database: Oracle 19c. Web Services: RESTful Web Services (JAX-RS) SOAP JSON. Build Tool: Maven. Version Control: Bit Bucket. Development Tools: Eclipse STS Jira Tibco Jasper Report. Application Server: WebLogic Application server Apache Tomcat Testing: Junit.

Remote Work:

No

Employment Type:

Full-time