Senior Data Scientist

Job Posting Title

Senior Data Scientist

Agency

840 OKLAHOMA WORKFORCE COMMISSION

Supervisory Organization

Oklahoma Workforce Commission

Job Posting End Date (Continuous if Blank)

Note: Applications will be accepted until 11:59 PM on the day prior to the posting end date above.

Estimated Appointment End Date (Continuous if Blank)

Full/Part-Time

Full time

Job Type

Regular

Compensation

$150,000

Job Description

• Senior Data Scientist

At the Oklahoma Workforce Commission, we rely on insightful data to power our systems and solutions. We are looking for a talented and experienced Data Scientist to join our dynamic team. As a Data Scientist, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our organization. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve

challenging business problems.

Responsibilities

• Data mining or extracting usable data from valuable data sources; gathering data from various sources, including databases, APIs, and web scraping, ensuring data quality and relevance.
• Using machine learning tools to select features, create and optimize classifiers; selecting and applying appropriate machine learning algorithms to build predictive models based on the data. Implement clustering, classification, regression, and other machine learning algorithms as needed.
• Assessing the performance of models using metrics and fine-tuning parameters for better accuracy.
• Carrying out the preprocessing of structured and unstructured data
• Enhancing data collection procedures to include all relevant information for developing analytic systems
• Processing, cleansing, and validating the integrity of data to be used for analysis
• Analyzing large amounts of information to find patterns and solutions
• Developing prediction systems and machine learning algorithms
• Presenting results in a clear manner developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code.
• Propose solutions and strategies to tackle business challenges
• Create queries, stored procedures, functions and data exports and imports; performs other data management processes utilizing database protocols.
• Confer with computer operations, technical support, user and vendor representatives concerning database requirements, system performance, software maintenance, capacity planning, and data security requirements.
• Reviews systems specifications for compliance with departmental, division and data base administration standards.
• Respond to database operational emergencies as required

• Skills

• Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.
• Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven decisions.
• Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.
• Strong Math Skills - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.
• Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description.
• Experience with data visualization tools (e.g., Matplotlib, ggplot, d3.js., Tableau, SQL, ect.)
• Proficiency in programming languages commonly used in data science (e.g., Python, R, etc.)
• Experience with machine learning libraries and frameworks (e.g., TensorFlow, scikit-learn, PyTorch, etc.)
• Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.
• Strong Software Engineering Background
• Hands-on experience with data science tools
• Problem-solving aptitude
• Analytical mind and great business sense
• Degree in Computer Science, Engineering or relevant field is preferred
• Five or more years of experience in data science

Equal Opportunity Employment

The State of Oklahoma is an equal opportunity employer and does not discriminate on the basis of genetic information, race, religion, color, sex, age, national origin, or disability.

Current active State of Oklahoma employees must apply for open positions internally through the Workday Jobs Hub.