Senior Data Scientist

Senior Data Scientist

Vacancy expired!

Job Summary:
Allegis Group is the global leader in

talentsolutions, delivering staffing services to our customers through our operating companies, including Aerotek, TEKsystems, and Aston Carter. The IT department at Allegis is leading us through a digital transformation where we are seamlessly incorporating technology into our work to enhance who we are a company committed to creating

opportunityfor those around us and for those who will come after us.
Our

missionis to find the best talent for our clients' staffing needs, and we carry that mission to our job openings as well. We are seeking a Senior Data Scientist with a

proventrack record of delivering the highest

qualityAI solutions that have provided clear business value to organizations. The ideal candidate thrives in an agile environment and has a

passionfor collaborating and mentoring other team members in cutting edge machine learning and data science principles.
Are you up for the challenge?

• Top Skills:
  • Expertise with using programming languages to manipulate and analyze data, including Python, R, and/or Java
  • Expertise with using SQL to conduct complex database queries
  • Deep knowledge of Big Data platforms, such as Snowflake and/or BiqQuery
  • Proven track record of recommending, designing, implementing, and supporting large-scale AI solutions that provide business value

• Job Description:Leads data science and machine learning initiatives for enterprise front office program in the staffing industry. Works with leadership to present new ideas and technologies in the recommendations space. Performs data analysis at scale and implements algorithms to find impactful operational and finished intelligence in large data streams. Involved in the analysis of unstructured and semi-structured data. Exercises creativity in applying non-traditional approaches to large-scale analysis of unstructured data in support of high-value use cases. Handles processing against high-volume collections of data and high-velocity data streams. Has the ability to make discoveries in the world of big data. Requires strong technical and computational skills coupled with the ability to code, design, develop, and deploy sophisticated applications using advanced unstructured and semi-structured data analysis techniques. Has the ability to utilize advance tools and computational skills to interpret, connect, predict and make discoveries in complex data and deliver recommendations. Develops documentation to support objectives of operationally focused team members. Presents findings to stakeholders at all levels.

Responsibilities Essential Functions:

• Architects and builds data science models for use in enterprise recommendations engines
• Recommends and implements industry leading technologies and best practices to a team of data scientists, platform engineers, and machine learning specialists
• Implements data management and data engineering strategies in cloud-based big data platforms
• Leads data science and machine learning initiatives
• Curates and analyzes large datasets for the purpose of creating training data for machinelearning models and solving complex data science initiatives
• Works in an Agile team with software engineers, business analysts, products owners, and testers to deliver data science solutions that provide business value
• Communicates project status, issues, and resolution with appropriate stakeholders
• Maintains a working knowledge of new technologies and adopts suitable concepts for the organization
• Creates level of effort (LOE) and duration estimates for assigned work. Proactively manage activities to meet those expectations
• Documents data models and solutions

Qualifications Minimum Education and/or Experience:

• Bachelor of Science Degree or higher computer science, statistics, or other related STEM (Science, Technology, Engineering, or Math)
• 7+ years in data scientist, machine learning, or data engineering role
• Strong understanding of modern data science patterns and algorithms
• Strong understanding of machine learning
• Strong understanding of data engineering, structure, formatting, conditioning and analysis
• Knowledge of database tools and current data science processes

Skills/Abilities:

• Knowledge of descriptive and inferential statistics, including hypothesis testing
• Ability to apply supervised and unsupervised machine learning algorithms for clustering, classification, and dimensionality reduction
• Experience with developing data visualizations, dashboards, or lightweight Web applications to communicate key insights
• Knowledge of cloud-based Big Data platforms such as Google BigQuery a plus
• Strong understanding of Agile processes and practices
• Ability to lead initiatives, mentor team members, and take accountability for delivery
• Ability to communicate information to a business or leadership audience in verbal or written formats
• Knowledge of research designs and patterns
• Knowledge of collection methods, capabilities, and tasking process
• Strong analytical and critical thinking skills
• Intellectual curiosity: creativity and innovation to go beyond current tools to deliver the best solution to complex problems

Core Competencies:

• Customer Service
• Building Relationships
• Business Knowledge / Organizational Acumen
• Self-Motivation/Self Starter
• Leading Self and Others