What are the responsibilities and job description for the Lead Data Scientist position at Digital Plus Solutions?
Minimum Required
- 7 plus years of experience in statistical modeling, data mining, analytics techniques, machine learning software development and reporting
- 5 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., and key parameters that affect their performance.
- 5 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.)
- 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.
Desired
- Bachelor or Masters degree in highly quantitative field (computer science, or electrical engineering, mathematics, statistics) or equivalent domain specific experience in lieu of a degree.
- Proficient in machine learning data workflows, data collection methodologies, and data analysis.
- Experience with architecting, designing, developing software solution in Azure and on-prem environments.
- Certifications AI / ML and Azure Cloud platforms
Job Type: Full-time
Benefits:
- 401(k)
- Dental insurance
- Health insurance
Work Location: In person
