Data scientists develop innovative solutions to business challenges by applying their mathematical and analytical skills to detect patterns in very large datasets. Their work improves the performance of information systems and databases and leads to technological advancements and efficiencies, such as better networking technology, faster computing speeds and improved data security. Candidates must have strong analytical, data mining, multivariate statistical modelling and quantitative analysis skills, as well as experience in programming languages — commonly Python or Java — and writing SQL queries for data manipulation. In addition, they require experience querying databases and using statistical computer languages (R, Python, SLQ, etc.) and working with distributed data/computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.) Most employers require five to 10 years of experience in Computer Science or Information Systems, as well as a Bachelor’s degree, Master’s degree or Ph.D. in a quantitative discipline. Assessing the effectiveness and accuracy of new data sources and data gathering techniquesDeveloping and executing technical visions, including planning, technical decision making and project management in order to support business decisions and company growthDeveloping custom data models and algorithms to apply to data setsPresenting complex analyses as action-oriented recommendationsManaging and merging data from multiple sources and generating reportsReviewing applications, data sets and models for anomalies to ensure accuracyApplying effective algorithms to large-scale data modelling Submit your resume or request talent now and our expert recruiters will be with you shortly.Robert Half is one of the premier technology staffing agencies.
AWS Technologies
Algorithm Implementation
Analytics
Apache Hadoop
Apache Spark
Cluster Analysis
Create Dashboards
Data Analysis
Data Cleaning
Data Science
Salary for Data Scientist
101750 - 153000
25th percentile
101750
New to the role, with little or no experience; requires more than casual instruction or supervision to perform day-to-day duties
50th percentile
125000
Has the experience to consistently perform core responsibilities without direct supervision; very comfortable with processes and subject matter associated with the role
75th percentile
153000
Value to the organization goes far beyond the ability to perform normal job duties; has rare qualifications that enable consistent contribution in unique ways; ready for next career level when available
Projected salaries for related positions Position title 25th percentile 50th percentile 75th percentile Data Engineer 117000 141000 167000 Data Architect 109250 142750 175000 Business Intelligence Analyst – Technology 90250 113000 138750 Database Manager 104250 130250 155500 Database Developer 100000 111250 136750 Database Administrator 74500 94250 120500 Data Warehouse Analyst 79750 101000 129500 AI Architect 106250 143500 161000 Data Analyst – Technology 71750 87750 110250
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