Job details
Job type full-time
Full job description
Company description
Redica systems, formerly known as govzilla, is a technology company using data, analytics, and expertise to deliver meaningful insights to quality and safety professionals around the worldBy applying artificial intelligence to large and disparate government data sets, redica systems empowers our customers to improve compliance, increase product quality, and build a more efficient organizationFounded in 2010, we serve over 200 customers in the pharma, medical devices, and food industries, including 19 of the top 20 pharma companies and 9 of the 10 top medical devices companiesWe’re headquartered in pleasanton, ca, and are open to remote work for candidates residing in the usLet`s talk!
Job description
This is an opportunity for an innovative and hands-on machine learning engineer to help develop, design, and integrate mathematical models into productionWe’re looking for team members that love new challenges, cracking tough problems, and working cross-functionally.
If you’re interested in joining a fast-paced, innovative, and delightfully fun team, then we encourage you to applyIf you love the idea of working with customers from top global companies while solving challenging problems with industry experts, back-end engineers, and designers, then this might be the role for you!
What you’ll do
Perform hands-on data analysis and modeling with huge data-sets.
Apply data mining, nlp, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
Build and maintain a large scale analytics infrastructure and consistently conduct research, design, implementation, and validation of cutting-edge algorithms in order to analyze diverse data sources in order to enable desired business outcomes on diverse fronts.
Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
Mentor junior team members, provide technical leadership, and execution guidance.
Discover data sources, get access to them, import them, clean them up, and make them “model-ready”You need to be willing and able to do your own etl.
Create and refine features from the underlying dataYou’ll definitely enjoy developing enough subject matter expertise to have an intuition about what features might make your model perform better, and be able to apply it repeatedly.
Run regular a/b tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
Qualifications
Bs, ms, or phd in an appropriate technology field (computer science, statistics, applied math, operations research, etc.).
4+ years’ experience with data science and machine learning.
Expert, hands-on experience in modern advanced analytical tools and programming languages (python) and ability with visualization packages.
Hands-on experience with data science in an amazon aws technology stack.
Efficient in sql, hive, or sparksql, etc.
Comfortable in a linux environment.
Experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining.
Solid communication skills: demonstrated ability to explain complex technical issues to both technical and non-technical audiences.
Bonus points
Apache spark
The hadoop ecosystem
Tensorflow, reinforcement learning
Ensemble methods, deep learning, and other topics in the machine learning community
Additional information
Top pharma companies, food manufacturers, medical device companies, and service firms from around the globe rely on redica systems to mine and process government inspection, enforcement, and registration data in order to quantify risk signals about their suppliers, identify market opportunities, benchmark against their peers, and prepare for the latest inspection trends.
Our data and analytics have been cited by major media outlets such as msnbc, wsj, and the boston globe.
Redica systems is an equal opportunity employerWe welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, disability, or veteran status.
All your information will be kept confidential according to eeo guidelines.
