Data Scientist / ML Engineer

Data Scientist / ML Engineer

Year Of Experience: 7+ years

Location: Overland Park KS/ Frisco TX (5 days onsite from day 1)

Visa Type: All Visa applicable except H1B

Employment Type: W2

Duration: Long Term

Job Description:

• 7+ years of experience in statistical modeling, data mining, analytics techniques, machine learning software development and reporting.
• 3+ years of applied experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc.
• 3+ years of hands-on experience with Python and/or R programming and statistical packages, and ML libraries such as scikit-learn, TensorFlow, PyTorch, etc.
• 3+ years of experience in building use cases/solutions especially around AI/ML cognitive services, based on Cloud infrastructure and services such as Azure cloud platforms and On-premise environments.
• Expertise with SQL, noSQL, Python, R, Javascript programming languages and big data environments (such as Splunk, Hadoop, Spark, Flink, Stream Analytics, Kafka, Docker, Kubernetes, etc.).
• Experience developing experimental and analytic plans for data modeling processes, using strong baselines, and determining cause and effect relations.
• Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. in data analysis projects.
• Expertise with scaling pilot machine learning solutions to a large scale production environment.
• Expertise with visualization tools such as PowerBI, D3JS, etc.
• Excellent written and verbal communication skills.
• Proficient in machine learning data workflows, data collection methodologies, and data analysis.
• Experience with architecting, designing, developing software solutions in Azure and on-prem environments.
• Certifications in AI / ML and Azure Cloud platforms will be a plus.

Education:

• Bachelor’s or Master’s degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.