IT Data Scientist
IRVING-75015, TX, US
08/31/2021
Annual Salary($): -
Required Skills
JavaScript, computer languages
Company
Enconosoft
Experience
1 to 4 Year(s)
Job Description
Drive business results with their data-based insights.
Works with a wide range of stakeholders and functional teams in a global setting to improve business outcomes.
Have a passion for discovering solutions hidden in large data sets.
Responsibilities
Works with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Mines and analyzes data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
Assess the effectiveness and accuracy of new data sources/extracts and data gathering/merging techniques.
Develops custom data models and algorithms to apply to data sets.
Uses predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
Develops company A/B testing framework and test model quality.
Coordinates with different functional teams to implement and maintain models and visualization dashboards.
Develops processes and tools to monitor and analyze model performance and data
Qualifications
Bachelor’s degree in Statistics, Mathematics, Computer Science or another quantitative field.
o Master’s Degree a plus
Minimum 5 years of experience employing data sets and building statistical models
o 3 years of experience accepted if combined with a master’s degree
Minimum 1 year of experience in the Chemical industry
Strong problem-solving skills with an emphasis on product development.
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.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, time series analysis, etc.
Desirable Qualifications
Knowledge of coding APIs and experience with several languages like C#, Java, JavaScript, etc.
Experience using web services like Azure Cognitive Services/ML, Databricks, etc.
Experience using Alteryx, Databricks, DataRobot to analyze and manipulate data.
Experience analyzing data from 3rd party Market Intelligence providers a plus.
Experience with distributed data/computing tools like Spark, etc.
Experience visualizing/presenting data for stakeholders using Tableau, SAP Analytics Cloud, etc.
Knowledge of SAP, Azure, Marketo, SFDC, Google Analytics, Snowflake a plus.
Experience with a B2B business especially in specialty chemicals or materials.
Data Analytics
Information Technology
No Preference
Contract Only
Other
1
Candidate Requirements
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Bachelors
Walkin Information
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Recruiter Details
Neeraj
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