Technical Lead- Data Scientist AI/ML- VIPER

Company Description:

ASG is a Minority Woman Owned, Physician owned small business with over 10 years' experience in federal government contracting. ASG offers data collection, statistical analysis, health program evaluation, technical and health program implementation support. ASG provides a broad range of healthcare technology related services such as software development and integration, mobile apps, AI/ML, Analytics, Data Science, Bigdata, DevSecOps, Digital transformation, cloud, and cybersecurity. ASG is CMMI Level 3 certified for Development and Services, and holds ISO certifications 9001:2015, 20000-1:2011, and 27000:2015.

Job Description:

ASG is seeking a Technical Lead- Data Scientist AI/ML in support of our new VIPER program delivering cutting-edge software solutions for our customer, the US Citizenship and Immigration Services (USCIS). The ideal candidate will have a strong background in Artificial Intelligence and Machine Learning, as well as experience in developing and deploying AI/ML models and deep understanding of NLP, data science and analytics.

Responsibilities:

• Leading, Developing and implementing data models and algorithms to analyze large datasets.
• Analyzing and interpreting data to identify patterns, correlations, and trends and generate insights and reports using statistical methods.
• Develop and deploy AI and ML algorithms to extract meaningful insights from data and support decision-making.
• Developing and testing predictive models and machine learning algorithms.
• Design and implement ML models that can be used to automatically solve complex problems.
• Work on training and retraining ML models and be able to automate the process.
• Collaborate with data scientists, software engineers and other stakeholders to design and implement AI/ML solutions.
• Evaluate and optimize existing AI/ML systems to improve performance and accuracy.
• Develop and maintain software systems that integrate AI/ML algorithms and processes.
• Monitor and analyze performance of AI/ML systems and suggest improvements.
• Building data pipelines to automate data processing and analysis
• Collaborating with other data scientists and engineers to build efficient data architectures.

Requirement:

• Bachelor’s or master’s degree in computer science, Statistics, Math, or Data Science, with 8 or more years of experience in practicing AI/ML and Data Science.
• Proven experience in developing and deploying AI/ML models
• Knowledge of machine learning algorithms, Deep learning and computer vision..
• Proficiency in programming languages such as Python/pySpark/R/Scala and hands on on analytics tools SQL, NoSql and documentDB, Taleau or BI
• Excellent knowledge of Cloud computing AWS and Sagemaker
• Understanding of addressing and metadata standards, experience in handling large data sets and relational databases
• Expertise in deep learning, NLP, reinforcement learning, recommender system, etc.
• Experience in leading large scale data science projects and delivering from end to end.
• Experience with building data pipelines, model framework and model deployment.
• Hands-on experience in building machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL.
• Experience in data management and data analysis in a relational database, Hadoop and Spark.
• Ability to conduct research work collaboratively as well as independently.
• Shall possess strong architecture & design experience, including at least three (5) years of experience deploying production enterprise applications in AWS that use AI/ML.
• Shall possess strong hands-on experience with Docker, Jenkins, Terraform, and API platforms such as Apigee.
• Shall have experience in large-scale, high-performance enterprise big data application deployment and solution architecture on complex heterogeneous environments in AWS
• Able to present articulately at client meetings.
• Great project and client management skills.
• Excellent problem-solving skills and attention to detail and ability to identify and measure KPIs
• Ability to work independently and in a team environment and have critical thinking capabilities.

Technical Skills:

• Extremely strong hands-on Python, R, and NLP tools with knowledge in Excel & VBA Skills.
• Expert knowledge in AWS, open-source tool stack.
• Hands-on expertise in MS Office Suite-PowerPoint, Word, and Project.
• Experience in report designing & visualization tools such as AWS Quick Sight, Tableau, etc.
• Advanced AI/ML tools, including low code, no code, RPA tools.

Analytics Skills:

• Ability to analyze and report on complex data.
• Should be comfortable with numerical and quantitative calculations and analysis.
• Strong problem-solving, multitasking, organization, and time management skills.

Team & Leadership Skills:

• Have worked in large (150+ personnel) remote teams.
• Highly motivated individuals eager to work and contribute to a team-based environment.
• Have excellent leadership and interpersonal skills.

Communication Skills:

• Exceptional client communication skills, both written and oral.
• Able to present articulately at client meetings.
• Great project and client management skills.

Preferred:

• 8+ years work experience as a Data Science, Machine Learning and or in a related field.
• Ph.D. or Master Degree in Computer Science, Statistics, Math or Data Science, with 4 or more years of experience in practicing machine
• Any Cloud certifications but specially AWS Certification
• Broad knowledge of statistical methodology and strong understanding of industry practices related to the statistical analysis is preferred
• Knowledge of DHS/USCIS, Federal client domain.
• Human-Centered Design (HCD) expertise.
• Product Management experience.

Must to Have:

• US Citizen
• Excellent knowledge of AWS, Sagemaker, Sagemaker Studio, Glue interactive, AWS Data Wrangler
• Proficient in Python, pySpark or Scala
• Excellent knowledge of Different Machine Learning Libraries and Deep Learning Packages
• Commanding skills with Tensorflow, Pytorch and other deep learning framework
• Having depth knowledge of ML Model Deployments

Clearance Level:

Position of Public Trust

U.S. Citizenship is required.

Additional Information:

At ASG, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or status as a protected veteran.

Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to careers@a2-g.com. We will treat your request as confidentially as possible. In your email, please include your name and preferred method of contact, and we will respond as soon as possible.

Perks:

At ASG, we want you to be well and thrive. Our benefits package includes:

• Healthcare Benefits
• Disability
• Life
• Paid Time Off
• 401k Matching
• Employee Referral Bonus
• Education Assistance
• Learning and Development resources

EOE, including Disability/Veterans