Data Scientist

Illumination Works

United States

Hybrid

USD 90,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Market competitive salary
Generous PTO package
Comprehensive medical, dental, and vision insurance
401K
Training opportunities

Job summary

A prominent data technology firm is seeking a Data Scientist to join their team. This mid-senior level role involves integrating and analyzing large datasets using advanced analytics and machine learning techniques. Ideal candidates will have a B.S. in a relevant field and at least seven years of experience in data science. The position offers the flexibility to work remotely or in locations such as Dayton or Cincinnati, alongside a competitive salary and comprehensive benefits package.

Qualifications

  • Minimum of seven (7) years of experience performing data science in a corporate setting.
  • Must be willing to obtain Secret Clearance.
  • Experience in writing and presenting data conclusions.

Responsibilities

  • Integrate and extract relevant information from large data sets.
  • Conduct advanced analytics to deliver insights.
  • Present data insights and recommendations to stakeholders.

Skills

Data extraction and integration
Predictive modeling
Machine Learning
Python programming
Problem-solving skills
Communication skills
Experiment design
Data cleansing
Algorithm development
Research objective development

Education

B.S. in Computer Science or related field

Tools

Python's data libraries (pandas, numpy, etc.)
Hadoop
TensorFlow

Job description

Join our Data Science Team! Our collaborative and diverse data science team has experience that spans many industries including energy, retail, healthcare, and DoD. Our projects have ranged from natural language processing (NLP) and text analytics to machine learning, predictive analytics, and simulation modeling. We are looking for a data scientist who is career-oriented and eager to grow their skills. The ideal candidate will bring innovative use of scientific research concepts, principles, and practices and will contribute to the application of advanced data science methods and techniques.

Do you have what it takes? Are you driven to implement creative solutions that unravel complex and ever-changing challenges? We value passion, curiosity, and perseverance with an ability to communicate ideas and results to diverse audiences. We look for people who thrive in collaborative and independent assignments, have the aptitude to learn new data quickly, and who are willing to mentor junior team members. Required skills for this job include:

  • Integrates and extracts relevant information from large amounts of both structured and unstructured data to enable analytical solutions
  • Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization, and other techniques to deliver insights or develop analytical solutions to achieve business objectives
  • Experience with data sourcing, data cleansing, and data preparation
  • Mastery with the Python programming language and significant experience using Python’s data analysis and machine learning libraries such as pandas, numpy, scipy, scikit-learn, gensim, and spaCy
  • Outstanding problem-solving and critical thinking skills
  • Innovative, creative, out-of-box thinking
  • Experiment design and algorithm development
  • Excellent verbal and written communication skills and the ability to interact professionally with executives, managers, and subject matter experts
  • Develops and implements new research objectives, establishes project priorities, defines methods of approach, executes the study, and provides scientific conclusions
  • Presents data insights and recommendations to key stakeholders
  • B.S in Computer Science, Information Technology, Statistics, Analytics, Mathematics, Engineering or related scientific field.
  • Minimum of seven (7) years of experience performing data science in corporate setting
  • Must have or be willing to obtain Secret Clearance (this requires US Citizenship)
  • Acceptable candidates must successfully pass a drug test and background screen

Desired skills for this position:

  • Collaborative coding experience and competency with Git
  • Experience integrating Machine Learning applications into production pipelines as well as monitoring and retraining models
  • Experience with Big Data concepts, tools, and architecture (data warehousing, data lakes, etc.) such as Hadoop, Hive, Pig, Hue, MongoDB, etc.
  • Experience with deep learning frameworks like Pytorch, Tensorflow, caffe, caffe2, h2o or any other machine learning
  • M.S. and/or Ph.D. in engineering, computer science, or related scientific discipline preferred

Location and Travel Details: Dayton, Cincinnati, or Remote

A little more about us. At Illumination Works, we know data, and we should, we’ve been doing it since we started in 2006! We specialize in everything data from big data to data science, software engineering, data management, AR/IoT, and cloud development. Illumination Works is a trusted technology partner in user-centered digital transformation—delivering impactful business results to clients. We partner with customers to solve their unique technology and data challenges, and stay on top of modern technologies and advancements leveraging our Innovation Lab.

Why choose us? We invest in our employees in all aspects of their life and we value family. We offer market competitive salary, a generous PTO package, and comprehensive medical, dental, vision and life insurance plans. We also offer 401K, short/long-term disability insurance, a fun and engaging culture, and training opportunities to keep you up to speed on the latest technologies.

Illumination Works is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer, making decisions without regard to race, color, religion, sexual orientation, gender identity or national origin, age, veteran status, disability, or any other protected class. Acceptable candidates must successfully pass a drug test and background screen.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function
  • Engineering, Information Technology, and Science
Industries
  • IT Services and IT Consulting, Software Development, and Technology, Information and Media

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