About aiMonkey
aiMonkey is an innovative leader in AI software development, crafting advanced solutions that leverage machine learning, natural language processing, and big data analytics. Our mission is to transform complex data into actionable insights that drive decision-making and growth. In a collaborative, remote-first environment, our team pushes the boundaries of what’s possible in AI to create a smarter, more connected world.
Overview
We are seeking a talented and driven Data Scientist to join our remote team. The ideal candidate will be skilled at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. You’ll have the opportunity to drive insights from our data and work closely with cross-functional teams to implement improvements.
Key Responsibilities
•Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
•Develop custom data models and algorithms to apply to data sets.
•Use a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms, and creating/running simulations.
•Drive the collection of new data and the refinement of existing data sources.
•Analyze large amounts of information to discover trends and patterns.
•Assess the effectiveness and accuracy of new data sources and data gathering techniques.
•Develop processes and tools to monitor and analyze model performance and data accuracy.
•Develop custom data models and algorithms to apply to data sets.
•Use a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms, and creating/running simulations.
•Drive the collection of new data and the refinement of existing data sources.
•Analyze large amounts of information to discover trends and patterns.
•Assess the effectiveness and accuracy of new data sources and data gathering techniques.
•Develop processes and tools to monitor and analyze model performance and data accuracy.
Required Skills and Qualifications
•We’re looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
•Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
•Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
•Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
•Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
•Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
•Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
•Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
•Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
•Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
•Strong problem-solving skills with an emphasis on product development.
•Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
•Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
•Excellent written and verbal communication skills for coordinating across teams.
•A drive to learn and master new technologies and techniques.
•Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
•Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
•Excellent written and verbal communication skills for coordinating across teams.
•A drive to learn and master new technologies and techniques.
We Offer
•A fully remote and flexible working environment.
•A collaborative culture that fosters innovation and learning.
•Opportunities to work on cutting-edge projects in AI and data science.
•A supportive team that values your expertise and growth.
•A collaborative culture that fosters innovation and learning.
•Opportunities to work on cutting-edge projects in AI and data science.
•A supportive team that values your expertise and growth.