Data Scientist 3 - (MLOPS, Machine Learning, Data Science)

Akina Inc; Annapolis (MD); Hybrid; USD 213,000 - 261,000; Full time

Benefits offered by this job

PTO 24 days/year

11 federal holidays

401(k) with 10% company contribution

Healthcare costs fully covered

Educational assistance

Job summary

Akina Inc. in Annapolis Junction, Maryland, invites applications for a Data Scientist 3 with MLOps and advanced analytics focus. The role requires leading analytics projects, guiding SMEs, and delivering production-ready ML solutions.

You will work with data scientists to develop, evaluate, and productionize models, building reports and visualizations to support missions. Clearances and deep technical expertise are essential.

Qualifications

• Ten years of experience in two or more of the following: ML, data mining, advanced analytics, AI or software engineering with data analysis tools (R, Python, SAS, MATLAB).
• Bachelor’s degree in a quantitative field; advanced degrees may substitute for experience.
• Experience leading data science teams and transitioning analytics to production.

Responsibilities

• Develop machine learning, data mining, statistical and graph-based algorithms.
• Prototype and compare models to select final production-ready solutions.
• Produce data visualizations and reports for customer insights.
• Lead a team of data scientists and guide analytic development.

Skills

MLOPS

Data Science

Statistical Modeling

Machine Learning

Education

Bachelor's degree in quantitative discipline

Master's degree substitution for experience

Doctoral degree substitution for experience

Tools

Python

R

SAS

MATLAB

Job description

Data Scientist 3 - (MLOPS, Machine Learning, Data Science)

• Annapolis Junction, Maryland

Data Scientist 3 - (MLOPS, Machine Learning, Data Science)

Clearance: TS/SCI - Polygraph required
Position ID: 25-8955-DS3
Location: Annapolis Junction, Maryland

Description:

A 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.

Produce data visualizations that provide insight into dataset structure and meaning.

Work with subject matters 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.

• Develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets.

Position Required Skills:

• In addition to the standard DS3 labor category requirements, the MT&E team is also seeking significant MLOPS and Data Science background.

DS3 Qualifications:

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.

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.

Salary Range: $213k-$261k (Annually)

The range displayed above is a likely salary range for this position. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possible contractual requirements and could fall outside of this range.

Akina is a Woman Owned, Service Disabled, Veteran Owned, Small Business, looking for talented and ambitious individuals to join our team. We offer a generous compensation package that includes 24 days PTO accrued annually and 11 federal holidays. Our 401k is 100% vested on your start date and the company makes a direct contribution worth 10% of your salary. Akina covers 100% of healthcare costs for employees and 50% toward dependents. We offer educational assistance towards college classes and will cover costs associated with job related training and certifications.

Akina is committed to excellence and creating innovative and flexible solutions for our clients. We are a small company with an open ear to our employees' needs in order to attract and retain quality talent that enables our customer's mission.

We are an equal employment opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.