Data Scientist (Remote)
Remote
Applications have closed
Prominent Edge LLC
Digital solutions that transform complexity into clarity. Prominent Edge focuses on Mobile App & Web Development, DevOps Consulting, Geospatial Solutions, an...Ideal candidates are those who can find value out of data. Such a person proactively fetches information from various sources and analyzes it for a better understanding of the problem, and may even build AI/ML tools to make insights. The ideal candidate is adept at using large datasets to find the right needle in a pile of needles and uses models to test the effectiveness of different courses of action. Candidates must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large datasets and working with stakeholders to improve mission outcomes. A successful candidate will have experience in many (if not all) of the following technical competencies including: statistics and machine learning, coding languages, databases, and reporting technologies.
Required Skills
- Proficient in data preparation, exploration, and statistical analysis
- 2+ years of experience in a programing language such as Python, R, Julia, SAS, or JavaScript
- Experience with batch scripting and data processing
- Experience with SQL and NoSQL databases such as Postgres, Elasticsearch, MongoDB, or Redis
- Experience developing REST APIs and messaging protocols and formats
Desired Skills
- At least 2 years of theoretical and practical background in statistical analysis, machine learning, predictive modeling, and/or optimization
- Experience implementing event/data streaming services such as Kafka
- Experience prototyping front-end visualizations utilizing data visualization suites such as Kibana or Splunk
- At least 2 years of experience developing Reinforcement learning systems utilizing at least one of the following methodologies. Finite Markov Decision Processes, Support Vector Machines, Q-Learning, Stochastic Finite State Machines, MCTS or other hybrid Deep Reinforcement Learning processes
W2 Benefits
- Not only you get to join our team of awesome playful ninjas, we also have great benefits:
- Six weeks paid time off per year (PTO+Holidays).
- Six percent 401k matching, vested immediately.
- Free PPO/POS healthcare for the entire family.
- We pay you for every hour you work. Need something extra? Give yourself a raise by doing more hours when you can.
- Want to take time off without using vacation time? Shuffle your hours around in any pay period.
- Want a new MacBook Pro laptop? We'll get you one. If you like your MacBook Pro, we’ll buy you the new version whenever you want.
- Want some training or to travel to a conference that is relevant to your job? We offer that too!
- This organization participates in E-Verify.
Tags: APIs Data analysis Data Mining Data visualization Elasticsearch JavaScript Julia Kafka Kibana Machine Learning MongoDB NoSQL PostgreSQL Predictive modeling Prototyping Python R SAS Splunk SQL Statistics Streaming
Perks/benefits: Career development Gear
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