Data Scientist (HI - TS/SCI Poly Required)

Themis Insight, LLC; Hawaii; On-site; USD 90,000 - 120,000; Full time

Job summary

A consulting firm is seeking a Data Scientist in Oahu, HI. This role entails devising strategies for extracting value from large datasets and requires a Bachelor's degree along with relevant experience, with a focus on data science and machine learning. The successful candidate will engage with both technical and non-technical stakeholders and work in a team that values innovative solutions.

Benefits

Competitive health, dental, and vision plans with 100% paid premiums

401k contributions

25 days of PTO

Career counseling and development plans

Employee referral bonuses

Qualifications

• Bachelor's degree and 3 years of relevant experience, or Associate's plus 5 years.
• Experience designing/implementing machine learning and data science algorithms.
• Proficiency in advanced mathematics and computer science.

Responsibilities

• Extract meaning and value from large datasets.
• Communicate conclusions from data analysis using statistics.
• Develop qualitative and quantitative methods for data evaluation.

Skills

Machine Learning

Data Mining

Statistical Analysis

Programming in Python

Data Management

Education

Bachelor's degree in Mathematics or related field

Data Science Certification

Tools

Python

C

Job description

Overview

Data Scientist (HI - TS/SCI Poly Required) at Themis Insight, LLC. Location: Oahu, HI. Position location is subject to change based on central MD client's needs.

Themis Insight solves difficult business, IT, and analytic problems by addressing the whole problem – not just the symptoms – using interdisciplinary approaches that are practical and innovative. We provide fresh alternatives to ordinary, mainstream consulting firms through small, highly skilled, and hand-picked teams that can meet clients' needs in any industry. Our broad interdisciplinary understanding allows us to provide the right solution, even if it is from outside the industry or traditionally defined problem space. We bring Public and Private, Civilian and Military expertise to every case.

Responsibilities

• Devise strategies for extracting meaning and value from large datasets.
• Make and communicate principled conclusions from data using mathematics, statistics, computer science, and domain-specific knowledge.
• Develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization and cleanliness, accounting for features and limitations inherent in data holdings.
• Translate practical mission needs and analytic questions into technical requirements; assist others with drawing appropriate conclusions from the analysis of data.
• Effectively communicate complex technical information to non-technical audiences.
• Make informed recommendations regarding competing technical solutions by staying aware of evolving data collection, processing, storage, and analytic capabilities and limitations.

Qualifications / Experience

• Data Scientist 2: A Bachelor’s degree and 3 years of relevant experience. An Associate’s degree plus 5 years of relevant experience may be considered when clearly related to the position.
• Data Scientist 3: A Bachelor’s degree and 10 years of relevant experience. An Associate’s degree plus 12 years of relevant experience may be considered when clearly related to the position.
• Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. Related fields may be considered if they include substantial coursework in advanced mathematics and/or computer science (typically 5+ courses at the 300 level or higher).
• A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
• Relevant experience must include designing/implementing machine learning, data science, analytical algorithms, programming (at least one high-level language such as Python and one mid-level language such as C), data mining, advanced statistical analysis, mathematical foundations, AI, workflow and reproducibility, data management and curation, and data modeling/assessment. Experience in more than three areas is strongly preferred.

Perks

• Competitive health, dental, and vision plans with 100% paid premiums
• 401k: Themis Insight contributes 6% even if you don’t participate
• Time Off: 11 standard holidays and 25 days of PTO
• Career Development: Career counseling and individualized development plans, including education and training
• Employee referral bonuses for successful hires

Themis Insight is an Equal Opportunity/Affirmative Action employer. Themis Insight provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Business Consulting and Services