Data Scientist, Senior

Summary

Summary

The Data Scientist is responsible for analyzing large amounts of raw information to find patterns that will help improve decision making in the organization.

 

This requires a highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

 

Essential Functions

• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Creation of new Power BI Dashboards and reports
• Combine models through ensemble modeling
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams
• The analyze and identify trends to allow the organization to make decisions based on the data
• Experience in data mining
• Understanding of machine-learning and operations research
• Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
• Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)

Competencies

• Excellent oral and written communication skills, strong customer service skills, keen attention to detail, flexibility in adapting to changing environment, timely follow-through, and a commitment to learning new skills are required.
• Strong problem-solving and critical thinking skills and the willingness to be proactive and take initiative are required.
• The ability to build and use effective working relationships and to work independently as an effective team player are required.
• Analytical mind and business acumen
• Strong math skills (e.g. statistics, algebra)
• Problem-solving aptitude
• Excellent communication and presentation skills

Supervisory Responsibility

None required for this position

 

Work Environment

This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.

 

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

 

• Must be able to remain in a stationary position 75% of the time.
• Occasionally moves about inside the office to access file cabinets, office machinery, etc.
• Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer.
• Expresses or exchanges ideas by means of the spoken word. Those activities in which they must convey detailed or important spoken instructions to other workers accurately, loudly or quickly.
• Frequently moves standard office equipment up to 25 pounds.
• Must be able to work indoor conditions 90% of the time.
• While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms.

 

Position Type/Expected Hours of Work

This is a full-time position. Typical days and hours of work are Monday through Friday, 8:00 a.m. to 5:00 p.m.  Evening and weekend hours required, as required by business need.

 

Travel

• No travel required for this position.

 

Experience

• 7-10yrs of proven experience as a Data Scientist or Data Analyst
• Strong Power BI skills

 

Education

• Bachelor's degree in a technology discipline or related field or equivalent work experience directly within functional area 

Security Clearance

• US Citizen with DHS clearance preferred; ability to obtain/maintain DHS clearance. 

AAP/EEO Statement

 

All Native Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. However, preference may be extended