Data Scientist

• Company Apex Systems
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

Job Description :

Key Responsibilities

• Understand strategic business objectives and work with business partners to economically justify and develop plans to create the necessary business insights.
• Guide and inspire the organization about the business potential and strategy of data science.
• Utilize a combination of business acumen and statistical knowledge to identify, prioritize, and solve high-impact business problems.
• Translate complicated concepts into relevant business messages. Effectively communicate results to project stakeholders and business teams.
• Proficiency in the Azure Machine Learning platform to develop ML solutions
• Collaborate with ML operations, data engineers, and IT to evaluate and implement ML deployment options
• Integrate model performance management tools into the current business infrastructure
• Selecting features, building, and optimizing classifiers
• Identify, visualize, and analyze data from a variety of sources to obtain business insights.
• Outstanding storytelling skills to deliver results to senior management
• Educate business partners on the use and expected results of advanced analytics.
• Lead and manage analytical projects from conceptual through definition phase.
• Experience participating actively in Agile development and product teams.
• Display drive and curiosity to understand the business process to the core
   

Education And Experience

• Bachelor’s degree in Computer Science, Information Systems, Mathematics, or related required
• Master’s degree with an emphasis in Statistics, Data Science, Mathematics, Computer Science or related preferred
• 5 or more years of experience in statistics, mathematics, machine learning or similar field required
• Experience solving analytical problems using quantitative approaches.
• Familiarity with relational and non-relational databases
• Experience with manipulating and analyzing complex, high-volume, high-dimensional data from varying sources.
• Experience with Microsoft AzureML
• Experience with data cleansing, preparation, and featurization and selection techniques
• Experience with data science projects from data management, model building, evaluation, model improvement and implementation.
• Experience with Agile development and Agile tools
   

Skills

• Fluency in advanced analytics tools such as R and Python.
• Understanding of Machine Learning techniques and Statistical learning methods.
• Applied statistical skills, such as distributions, statistical testing, regression and more.
• Strong written, verbal communication, and time management skills.
• A flexible analytic approach that provides results at varying levels of precision.
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
• Ability to generate positive business results via analytics and data science techniques.
• A strong passion for empirical research and answering difficult questions with data.