Lead Data Scientist at NorthBay Solutions

, Islamabad Capital Territory, Pakistan -

Full Time

Start Date

Immediate

Expiry Date

24 Jan, 26

Salary

0.0

Posted On

26 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Processing, Data Visualization, Machine Learning, Python, SQL, Team Management, Communication, Collaboration, ETL Processes, Data Integration, Deep Learning, TensorFlow, PyTorch, Data Monitoring, Statistical Models, Object Segmentation, Multi-Class Classification

Industry

IT Services and IT Consulting

Description

Job Title: Lead Data Scientist Location: Lahore, Karachi, Islamabad Job Description: NorthBay is looking for highly experienced Lead Data Scientist to join our team. The ideal candidate will have 8 to 12+ years of professional experience in data science, with a focus on data processing, visualization, and structuring. The candidate should have a proven track record in leveraging advanced analytics and machine learning techniques to extract actionable insights from complex datasets, and the ability to design and implement sophisticated machine learning models to refine forecasting engines. Strong analytical and communication skills are essential for this role, as you will be working closely with various stakeholders to understand business needs and deliver data-driven insights. Requirements: 8 to 12+ years of overall professional experience. Expertise in data processing, visualization, and structuring. Proven track record in leveraging advanced analytics and machine learning techniques to extract actionable insights from complex datasets. Strong experience in designing and implementing sophisticated machine learning models. Proficiency in Python, SQL, and other relevant programming languages and tools. Experience in managing teams and executing complex projects. Excellent communication and collaboration skills, with the ability to translate complex technical concepts into actionable insights for stakeholders. Proven track record of driving business outcomes through data-driven decision-making. Experience with ETL processes, data preprocessing, and data integration techniques. Familiarity with deep learning frameworks such as TensorFlow or PyTorch is a plus. Responsibilities: Develop a deep understanding of the business domain. Gain comprehensive knowledge of customer's data. Build predictive reports from databases to aid in decision-making. Write scripts and queries to extract data, perform data processing, and create visualizations/reports. Assist in organizing and testing GenAI and Machine Learning-related projects. Design and implement sophisticated machine learning models to refine forecasting engines, aiming for a significant reduction in forecasting errors and revolutionizing decision-making processes across the organization. Conduct continuous improvement initiatives to enhance ETL process efficiency, including introducing data monitoring tools to improve error detection and reduce processing delays. Translate complex business needs into actionable technical specifications, collaborating with stakeholders to ensure alignment and successful implementation. Research cutting-edge, open-source models to align with product requirements, benchmark performance against industry standards, and integrate top-performing models to enhance product functionality and user experience significantly. Conduct the training of a diverse range of models spanning Object Segmentation, Tracking, Detection, Multi-Class Classification, OCR, and Statistical Models, aiming for a notable improvement in model accuracy. Construct a robust integration architecture and automated pipeline to enhance data model performance, aiming for a decrease in processing time and enabling rapid decision-making for stakeholders in the technology sector. If you meet the above qualifications and are excited about leveraging data to drive business decisions, we encourage you to apply. Join our team and contribute to the innovative projects shaping our future!

Responsibilities

The Lead Data Scientist will develop a deep understanding of the business domain and build predictive reports to aid in decision-making. They will design and implement sophisticated machine learning models to refine forecasting engines and enhance data model performance.