Job Description
About us
We are agile, innovative, AI/ML, and customer-centric offerings with Solutions Provider delivering our customers secure Cloud Platforms towards Digital transformation. We guide our customers by conducting workshops, initial assessments, strategy and consulting to implement and deploy as well as provide managed services to simplify costs-operations-resources overhead while customer focuses on delivering their Company's Vision.
Responsibilities:
- Cross-validating new model architectures with old ones.
- Evaluating models on out-of-time data.
- Adhering to information safety laws.
- Understanding the basic concept of neural networks.
- Using a neural net to predict future values based on historical data.
- Interprets and applies data in highly complex analyses, and explains findings to business audiences to improve products and processes.
- Executes multiple and or highly complex statistical and mathematical analyses to support business decision making for multiple business functions.
- Develops and or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.
- Utilizes highly complex statistical modeling to make predictions about future outcomes and in multiple scenarios
- Creating new, experimental frameworks to collect data
- Building tools to automate data collection
- Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis and data mining.
- Documents projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics.
- Anticipates and prevents problems and roadblocks before they occur.
- Interacts with internal and external peers and managers to exchange complex information related to areas of specialization.
- Mentors less experienced members of the team. Provides guidance regarding analytical approach and iteration of algorithms.
- Required Skills/Abilities:
- Master’s Degree in Computer Science, Statistics, Applied Mathematics, or related field
- Experienced in AWS cloud native services such as Sagemaker, Generative AI and augmented AI.
- 2 years’ experience with data science and advanced analytics with proven record for delivery of data-driven insights to inform strategic decision making
- 2 years’ experience with SAS (or similar), ETL, data processing, database programming and data analytics
- Experience in data mining and statistical analysis
- Strong understanding of relational databases and data management as well as experience with data aggregation and normalization
- Understanding of various data structures and common methods in data transformation
- Experience in cloud platforms such as AWS, Azure and GCP
- Excellent pattern recognition and predictive modeling skills
- Experience conducting analyses and building predictive models using SAS (or similar)
- Experience with programming languages such as Java / Python (or “R”)
- Experience conducting regression analyses
- Excellent communication, collaboration, and delegation skills with demonstrated ability to partner with both technical and non-technical stakeholders
Job Type: Full-time
Pay: $60,000.00 - $80,000.00 per year
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
- Flexible schedule
- Flexible spending account
- Health insurance
- Life insurance
- Paid time off
- Parental leave
- Tuition reimbursement
- Vision insurance
Schedule:
- 8 hour shift
- Day shift
- Monday to Friday
Supplemental pay types:
Ability to commute/relocate:
- Remote: Reliably commute or willing to relocate with an employer-provided relocation package (Required)
Experience:
- Python: 2 years (Required)
- SQL: 3 years (Preferred)
- IT: 5 years (Required)
Willingness to travel:
Work Location: Remote