The company is looking to solve problems related to statistical modeling, data mining, analytics, machine learning software development, and reporting by hiring an experienced professional.
Requirements
- 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., and key parameters that affect their performance.
- 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 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.
Responsibilities
- 7plus years of experience in statistical modeling, data mining, analytics techniques, machine learning software development and reporting
- 3plus 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.
- 3plus 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.
- Expertise with scaling pilot machine learning solutions to a large scale production environment
Other
- 7+ years of experience
- US Citizen only
- Female candidate only required
- Excellent written and verbal communication skills.
- Bachelors or Masters degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.
