Data Scientist Jobs

ALTA IT Services is a wholly owned subsidiary of System One, a leading provider of specialized workforce solutions and integrated services. ALTA is an established leader in IT Staffing and Services, for both government and commercial enterprises across the United States, specializing in Program & Project Management, Application Development, Cybersecurity, Data & Advanced Analytics, and Agile Transformation Services.

ALTA IT Services is seeking a Sr. Data Scientist to join our client on a long term contract basis. Candidates should have experience working in Azure Cloud.

Data Scientist

Hybrid in Washington, DC area

W2 or C2C

Description

We are looking for Data Analyst/Data Scientist to support operationalizing Security Governance and Risk (SG&R) Division’s Data Analytics Programs. The ideal candidate for this position will analyze, interpret, and support data solutions that enable businesses to make effective use of data in business decisioning

Responsibilities

• Effective skill maintaining accuracy with attention to detail and meeting deadlines
• Proven experience as a data professional with hands-on experience in many data science and machine learning projects
• Effective interpersonal, verbal, and written communication skills
• Strong Understanding of machine-learning and statistical methods
• Implement data quality checks to maintain data integrity and monitor for high data quality
• Perform the role of a Product Owner (includes Services) and deliver high quality solutions to customers
• Provide exceptional Customer Service support
• Support business strategy and initiatives within the business unit and/or across the organization
• Assist and collaborate with various levels of staff to accomplish tasks/assignments
• Ability to visualize data and provide insights from data
• Must have a Master`s degree in Information Science, Data Analytics, Information Management, or Computer Science or 5+ years of experience in a directly related role with progressive growth
• Significant experience in handling unstructured datasets and converting them into Structured datasets
• Leverage a variety of tools to prepare data, perform analysis, and provide value-adding insights to business (as applicable)
• Proficiency with Python in a data science and advanced analytics context. E.g., Pandas, PySpark, PyTorch
• Perform research to better understand customer data needs as well as emerging industry trends and patterns that affect assigned domains
• Acta as a data analyst or as a data scientist to understand and solve customer (e.g., Analytics team, Data Scientists, ML Modelers, Business Users) data needs
• Exposure to data/collaboration tools such as MS SharePoint, MS Power BI, MS Power Platform, Service Now, GRC applications, and related Azure Cloud Technology/Products
• Experience with one or more data visualization tools such as Power BI, Tableau
• Maintain professionalism in all interactions, placing member service as priority
• Demonstrated experience with cleaning, managing, optimizing performance with, and processing large volumes of data
• Perform research and analysis; may include quantitative and/or qualitative analysis
• Closely work with Data Architect(s) and Data Engineer(s) to assemble large, complex data sets that meet functional /nonfunctional business requirements.
• Effective research, analytical, and problem-solving skills
• Ability to exercise initiative and good judgment to make sound decisions

Desired

• Hands-on experience in modern Data Platforms related technologies such as Azure Synapse, Azure SQL Azure Databricks and Power BI (including using DAX) is desirable
• Knowledge of Dev-Ops processes (including CI/CD) and use of source control software such as Git or GitHub is essential
• Strong academic background or experiences in Security-related domain and/or banking Industry is desirable
• Experience with multiple programming languages, including Python, R, MATLAB, or SAS
• Expertise in Python and data science libraries such as Pandas, NumPy, SciKit-learn, Pvlib
• Ability to easily converse with Data Scientists, ML Modelers, and Data Engineers on various data analytical concepts and statistical modeling technique (e.g., regression, logistic regression, log-linear regression, variable selection, etc.)
• Knowledge of various machine learning algorithms, statistics, and mathematics principles
• Strong understanding of NoSQL implementation (Mongo, Cosmos DB or other similar tools) is desirable
• Hands-on experience in developing Azure or related cloud-based analytical solutions
• Background in a quantitative field, such as statistics, computer science, mathematics, or engineering