The role of Senior Data Science is one giant leap from technology to leadership. As project leaders, they communicate data-driven insights with business stakeholders to create a roadmap for revenue growth. 

Hiring a talented candidate is dependent on how well you outline the senior data scientist job description. That’s why we are here to give out the best of the hiring resources for your perusal.

Senior Data Scientist Job Description 

We are hiring a Senior Data Scientist who has the best research, technical and functional expertise in neural networks optimization (quantization, fusing, folding)

Candidates must be adept in multiple deep learning models like CNNs, LSTM, ResNet, YOLO, and MobileNet.

Certifications from SAS, DASCA, Microsoft, and Azure are a bonus!

What are we looking for?

• Advanced degrees in computer science, statistics, applied sciences, or econometrics (nice to have)

• Strong hold on technical development phases viz., data engineering, analytics/modeling, and visualization/user interface

• Proficiency in converting large data sets for a variety of data mining/data analysis methods.

• Prior experience in data science/machine learning models and algorithms 

• Expertise in Python, Machine Learning, SQL, Apache Hadoop, and predictive models

What a day in the life of a Senior Data Scientist will look like?

• Work with Product Engineering and Customer Support to identify problems in different areas and determine where data mining/machine learning/statistics can help

• Deploy production-scale solutions using the Hadoop Ecosystem, transforming statistical and machine learning models from single-node architecture to parallel processing grid technology

• Apply advanced machine learning algorithms, statistical methods, and predictive modeling techniques on large and varied data sets that include application log files, another online application telemetry, structured and unstructured data sources

• Collaborate daily with other analytics team members implementing data analysis and machine learning techniques

• Voluntarily direct data science initiatives to uncover business value using statistical, machine learning, and analytics techniques

• Design and develop research methods that address questions related to predicting educational outcomes, designing impactful software, and other strategic issues

• Analyze research results, derive actionable insights, and present findings to product management and development personnel

• Lead the development of business requirements and functional algorithms that can be used in real-time production environments

•  Provide ongoing tracking and monitoring of the performance of algorithms and statistical models, troubleshoot and implements enhancements and fixes to these systems as needed

• Assess data sources for integrity and validity compared to intended educational processes

How can Glider AI help you with Hiring a Senior Data Scientist?

Glider’s recruitment platform is built on the mission, of “competency over credentials”. This way, you can make the most of the hiring assessments through a structured and data-driven candidate-evaluation process. 

Glider AI’s Unique Features

• Conversational Chatbot for Talent Screening

• On-demand One-way Interviews 

• Interactive, coding-enabled skill tests

• Task-based and Live Coding enabled Video Interviews 

• Advanced AI proctoring 

• Powerful candidate analytics 

Discover Hiring Resources for Senior Data Scientists

• Hiring a Senior Data Scientist

• Senior Data Scientist Interview Questions

• Senior Data Scientist Skills Test

• How to hire a Senior Data Scientist

Access 2,000 pre-built assessments covering over 500 skills with 250,000 questions, all validated by 2,000 SMEs including this for the Senior Data Scientist role.

Go ahead and spotlight your Senior Data Scientist with Glider AI today!  

You can always write to us at info@glider.ai to help you access the hiring resources.