Data Scientist / ML Engineer IRC241949

Globallogic - Overland Park, KS

Full-time - Mid Level

Remote - Overland Park, KS

Professional, Scientific, and Technical Services

About the position

The Data Scientist / ML Engineer role at GlobalLogic involves leveraging statistical modeling, data mining, and machine learning techniques to develop and deploy innovative solutions. The position focuses on building machine learning models, utilizing cloud infrastructure, and collaborating with a diverse team to drive digital transformation across various industries.

Responsibilities

• Proficient in machine learning data workflows, data collection methodologies, and data analysis.
• Experience with architecting, designing, and developing software solutions in Azure and on-prem environments.
• 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, the 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.

Requirements

• 5 plus years of experience in statistical modeling, data mining, analytics techniques, machine learning software development and reporting.
• 3 plus 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 plus 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 plus 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.).

Nice-to-haves

• Bachelor's or Master's degree in a highly quantitative field (computer science, electrical engineering, mathematics, statistics) or equivalent domain-specific experience in lieu of a degree.
• Certifications AI / ML and Azure Cloud platforms.

Benefits

• Competitive salaries
• Health and life insurance
• Short-term and long-term disability insurance
• Matched contribution 401K plan
• Flexible spending accounts
• PTO and holidays
• Continuing education classes
• Professional certification and training (technical, soft skills, language, and communication skills)