Reflexive Concepts

Data Scientist III

Reflexive Concepts • $120K — $145K *
Annapolis Junction, MD 20701In-Person
Information Technology
8 - 10 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in a quantitative discipline (e.g., statistics, mathematics, computer science) or equivalent experience.
  • At least ten years of experience in machine learning, data mining, or software engineering with data analysis tools.
  • MLOPS and Data Science background is significant and essential.
  • Experience in creating data visualizations to elucidate dataset structure and meaning.
  • Proficiency in developing algorithms and understanding statistical methodologies.

Responsibilities

  • Develop and evaluate machine learning and statistical algorithms for data analysis.
  • Prototype multiple algorithms and select the final model based on performance metrics.
  • Generate reports and visualizations that provide actionable insights from data.
  • Collaborate with SMEs to automate data analysis processes based on qualitative insights.
  • Implement algorithms within production frameworks for seamless integration into workflows.

Benefits

  • Opportunity to lead and influence multiple analytic projects.
  • Collaborative work environment with experts in the field.
  • Chance to work on cutting-edge machine learning and analytics technologies.
Full Job Description
The Data Scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.

Qualifications:
  • Bachelor's degree or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science).
    • An additional four (4) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree.
    • A Master's Degree from an accredited college or university in a quantitative discipline can be substituted for two (2) years of experience for a total of eight (8) years of experience required.
    • A Doctoral Degree from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience for a total of six (6) years of experience required.
  • A minimum of ten (10) years of experience in two (2) or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software such as R, Python, SAS, or MATLAB.
Required:
  • Significant MLOPS and Data Science background
  • Produce data visualizations that provide insight into dataset structure and meaning
  • Work with subject matter experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g., SQL tables, structured metadata, network logs)
  • Incorporate SME input into feature vectors suitable for analytic development and testing
  • Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes
  • Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics
  • Develop statistical tests to make data-driven recommendations and decisions
  • Develop experiments to collect data or models to simulate data when required data are unavailable
  • Develop feature vectors for input into machine learning algorithms
  • Identify the most appropriate algorithm for a given dataset and tune input and model parameters
  • Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices)
  • Oversee the development of individual analytic efforts and guide team in analytic development process
  • Guide analytic development toward solutions that can scale to large datasets
  • Partner with software engineers and cloud developers to develop production analytics
  • Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation
  • Lead a team of data scientists in the development of multiple analytic efforts
  • Work with customers and SMEs to define analytic requirements and guide the team in formulating analytics that meet requirements
  • Guide the transition of prototyped analytics to production system
  • Understand emerging machine learning and pattern recognition algorithms and guide a team of data scientists in integrating state-of-the-art algorithms into solutions
  • Delegate analysis responsibilities to one or more team members and monitor performance

About Reflexive Concepts

Reflexive Concepts Careers

Joining Reflexive Concepts presents an unparalleled opportunity to become part of a leading team of professionals dedicated to innovation and technology. This is a pivotal time to engage with a company that values growth, leadership, and diversity in its workforce.

Explore Job Opportunities

Reflexive Concepts is actively seeking talented individuals for various positions across the company. With a commitment to professional excellence, Reflexive Concepts offers a dynamic environment where skills are honed, and careers flourish. Explore the multitude of job opportunities that range from internships to full-time positions, each offering a unique chance to contribute to groundbreaking projects.

Experience the Culture and Benefits

At Reflexive Concepts, the culture thrives on diversity, innovation, and leadership. Employees enjoy a range of benefits designed to support their professional and personal growth. The company is dedicated to fostering an inclusive environment where every team member’s contribution is valued. Benefits include comprehensive health care, flexible working conditions, and continuous professional development through diversity training and leadership workshops.

Engage in Professional Growth

Career advancement is a cornerstone of employment at Reflexive Concepts. The company supports a trajectory of professional growth through robust training programs, access to global resources, and opportunities to lead. Networking within the industry and participating in global teams allow employees to gain valuable insights and experiences that propel their careers forward.

Innovative Work Environment

Reflexive Concepts is at the forefront of technological advancement and industry innovation. Employees are encouraged to push the boundaries of what is possible, bringing fresh ideas and perspectives to their work. The collaborative atmosphere fosters a sense of community and drives collective success.

Join the Team

Reflexive Concepts is hiring! Search open positions that align with your skills and interests. The company looks for passionate, curious, and solution-driven team players. Prepare your resume, sharpen your interview skills, and get ready to embark on a rewarding career path with Reflexive Concepts.

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Learn more about Reflexive Concepts
Size
11 employees
Industry
Business Services
* Ladders Estimates

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