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

Akina, Inc.; Maryland; On-site; USD 213,000 - 261,000; Full time

Benefits offered by this job

24 days PTO accrued annually

11 federal holidays

401k with 10% employer contribution

Healthcare fully covered for employee

Education assistance

Job summary

Akina, Inc. seeks a Data Scientist 3 to lead ML/analytics initiatives at Annapolis Junction, MD. You will guide a team of data scientists, translate SME input into automated analytics, and productionize prototype algorithms within mission-focused workflows.

You will apply ML, data mining and statistical methods to complex datasets and produce actionable insights for customers, with a strong emphasis on scalable, production-ready solutions.

Qualifications

• A minimum of ten (10) years of experience in two (2) or more of: designing/implementing ML, data mining, advanced analytical algorithms, AI, 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.
• An additional four (4) years of experience in software development, cloud development, analyzing datasets, or developing analytics can substitute for a Bachelor's degree.
• A Master’s Degree from an accredited college or university in a quantitative discipline can substitute for two (2) years of experience.
• A Doctoral Degree from an accredited college or university in a quantitative discipline can substitute for four (4) years of experience.

Responsibilities

• Develop ML, data mining, statistical and graph-based algorithms to analyze datasets.
• Prototype and compare algorithms to select final model based on performance metrics.
• Build models or experiments to generate data when training data are unavailable.
• Generate reports and visualizations that summarize datasets and provide data-driven insights.
• Lead a team of data scientists in multiple analytic efforts.
• Translate SME input into automated analytics and production-ready workflows.

Skills

Data science leadership

MLOps

Team leadership

Experiment design

Communication

Education

Bachelor's degree in a quantitative discipline

Master’s degree substituted for 2 years experience

Doctoral degree substituted for 4 years 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.