At Experfy, we rely on powerfully insightful data to power our systems and solutions. We're seeking an experienced data scientist to deliver that insight to us on a daily basis. Our ideal team member will have the mathematical and statistical expertise you'd expect, but a natural curiosity and creative mind thats not so easy to find. As you mine, interpret and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within-all with the ultimate goal of realizing the datas full potential. You will join a team of data specialists, but will slice and dice data using your own methods, creating new visions for the future.
Collaborate with product design and engineering to develop an understanding of needs
Research and devise innovative statistical models for data analysis
Communicate findings to all stakeholders
Enable smarter business processes and implement analytics for meaningful insights
Keep current with technology and industry developments
Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products
Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries
Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
Developing AI/ML algorithms to analyze huge volumes of historical data to make predictions and recommendations
Developing microservices with integrations to large datasets and other sub systems such as Elastic Search.
Analyze data for trends and patterns, and Interpret data with a clear objective in mind
Implement analytical models into production by collaborating with software developers and machine learning engineers
Documenting artificial intelligence and machine learning processes
Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems
Bachelors degree in statistics, applied mathematics, or related discipline or computer science
7+ years experience in data science
Proficiency with data mining, mathematics, and statistical analysis
Advanced pattern recognition and predictive modeling experience
Extensive knowledge of AI/ML frameworks, libraries, data structures, data modeling, and software architecture
Five plus years of developing models and algorithms independently, writing your own code, developing a strategy for algorithmic experimentation, and deploying in production
Proficiency with Python and Go programming languages
Experience with Microservices architecture
Experience with SQL and NoSQL databases such as MongoDB, Postgres, Neo4j, etc.
Experience with AWS, Azure, or other distributed compute services
Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects
