CTG Jobs

With over 45 years of experience, CTG excels at providing exceptional career opportunities for IT professionals in higher-growth industries.

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CTG LEAD DATA SCIENTIST in Cary, North Carolina

Title: LEAD DATA SCIENTIST

Location: US-NC-Cary

Job Number: 19201577

Our client, a well-established organization in Cary, NC is seeking a Lead Data Scientist. This individual will be responsible for modeling complex business problems, discovering business insights and identifying opportunities through the use of statistical, algorithmic, data mining, machine learning, and visualization techniques. In addition to advanced data analytics skills, this role is also proficient at integrating and preparing large, varied datasets, and communicating results and recommendations based on the model/analysis to both technical and non-technical audiences. This role is also able to recommend the most effective data science approaches for various challenges and will be able to implement these approaches independently without guidance as well as guide other data scientists in their efforts. Additionally, the lead data scientist will be able to manage data science teams and help drive the organization’s technology vision, be up to date with the state of technology, and help ensure the organization makes forward-looking strategic decisions in its data science approach.

Essential Functions:

· 35%: Conduct analytical research, develop prototypes and contribute to production-ready solutions. Business domains include but are not limited to:

o Fleet Utilization for Railroads and Equipment Owners

o Miles & time between car repair incidents

o Railroad yard traffic predictions

o Predictive modeling of maintenance, ETAs, etc.

o Internal measurement development

o Data quality evaluations

o Data enrichment

o Prototype reports to be included in production systems

· 35%: Deliver analytical projects by:

o Working with project managers to define schedule and deliver results to all customers and internal stakeholders and managing expectations

o Collaborating with IT resources to develop and optimize production solutions o Creating and documenting repeatable solutions for meeting ongoing customer needs

o Communicating the results and methodology to internal and external stakeholders

· 20%: Drive the organization’s data science and technology vision through research on the state of the art in data science technologies to ensure forward-thinking strategic decisions and recommendations

· 10%: Gather, interpret, and translate customer needs into business problems that can be solved via advanced analytics methodologies by:

o Working with business stakeholders and/or facilitate data analysis opportunity discussions o Leading solution analysis, definition, and requirements gathering for data services

o Prioritizing data analysis using rail industry priorities & business cases

· Collaborate with other data scientists to drive data analysis methodology, repeatable and structured

· Exercise judgment within generally defined practices and policies in selecting methods and techniques

for obtaining solutions

· Takes the lead on analytical projects, and may lead the projects of other data scientists and analytical consultants

· Work with manager to finalize priority and deadlines, and adjust & communicate as necessary

Non-Essential Functions:

· Support and improve internal decision making

· Develop measurement dashboards

· Conduct and report industry trend and market analysis to meet industry needs

· Performs other duties as assigned

· Customer feedback and delivery against commitments

Knowledge/Skills/Abilities:

· Superior analytical skills with working knowledge of basic statistical, predictive and optimization models

· Experience in leading and managing data science teams

· Strong programming proficiency and working experience (10 years) in a subset of Python, R, Scala, Java (Python preferred)

· Strong proficiency and experience (10 years) with data science and machine learning software stacks, e.g. NumPy, Pandas, SK-learn for Python

· Programming proficiency in Spark and MLlib (3 years)

· Working experience with and understanding of large-scale data analysis systems, e.g. Hadoop or MPP databases

(5 years)

· Proficiency and experience with SQL (10 years)

· Significant experience (10 years) implementing machine learning and data science models, including through production • Strong theoretical and practical knowledge of machine learning models and algorithms (unsupervised and supervised), their use in applications, and their advantages and disadvantages

· Strong knowledge of code-based data visualization tools (e.g. matplotlib) for data exploration and to

present models and results to internal and external stakeholders

· Experience with cloud-based systems and toolsets (3 years)

· Experience and understanding of experiment design and evaluation

· Knowledge of big data engineering toolsets a plus

· Superior data preparation skills; be able to access, transform and manipulate the client’s and external customer data in its base form

· Superior problem-solving skills

· Entrepreneurial mindset and business understanding

· Up to date with the state of the art in the data science technology and related infrastructure and services space

· Strong team management and leadership skills

· Strong verbal and written communication skills

· Ability to work effectively with clients, IT management, business management, project managers, and IT staff

· Ability to manage multiple activities in a deadline-oriented environment; highly organized and flexible

· Ability to work independently and jointly in unstructured environments in a self-directed way

· Ability to take a leadership role on engagements and with customers

· Strong teamwork skills and ability to work effectively with multiple internal customers

Education and Experience:

· Advanced degree (PhD or Masters) in an analytical or technical field (e.g. applied mathematics, statistics, physics, computer science, operations research, business, economics)

· A minimum of 10 years related work experience

· Strong statistical analysis and methodology experience

· Experience with analytics tools and big data platforms

· Experience with business intelligence and analytics

Qualifications:

CTG (NASDAQ: CTG) provides industry-specific IT services and solutions that address the business needs and challenges of clients in high-growth industries in North America and Western Europe. CTG also provides strategic staffing services for major technology companies and large corporations. Backed by more than 50 years of experience and proprietary methodologies, CTG has a proven track record of reliably delivering high-value, industry-specific staffing services and solutions to its clients. CTG has operations in North America, Western Europe, and India.

CTG's greatest asset is its people, and as such, we are committed to providing employees programs and processes to support their performance, hone their skills, and advance in their careers. This commitment is reflected by CTG being named a Best Places to Work in Healthcare company by Modern Healthcare (2013-2016) in North America, and a Best Workplace in the United Kingdom (2013), Belgium (since 2007), and Luxembourg (since 2011).

CTG will consider for employment all qualified applicants including those with criminal histories in a manner consistent with the requirements of all applicable local, state, and federal laws.

CTG is an Equal Opportunity/Affirmative Action Employer and strong advocate of workforce diversity. Minority/Female/Sexual Orientation/Gender Identity/Disability/Veteran.

Job: Data Analysis / Management

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