Data Scientist

Senior Data Scientist-- CHADC5784198

Title: Data Scientist Sr

Location: Remote

Schedule: 9am- 5pm

Experience Level: Senior (8-10 years)

TOP (3) REQUIRED SKILLSETS:

• Python

• Databricks

• Generative AI using LLMs

NICE TO HAVE SKILLSETS:

• Supervised ML

• VLMs

• Experience with medical data

In This Role You Will:

• Research, design, implement and validate cutting-edge algorithms using new statistical or other mathematical methodologies to analyze diverse sources of data to achieve targeted outcomes.

• Develop, enhance and maintain advanced analytic models that generate new business insights or deliver predictive services to applications/teams.

• Perform predictive modeling using machine learning techniques including aspects of data sourcing, data cleaning, data transformation, feature extraction/generation, model tuning, model selection, model evaluation and production deployment.

• Collaborate with product management and engineering departments to understand company needs and devise possible solutions.

• Work with cross-functional team members to identify and prioritize actionable, high-impact data insights across a variety of core business areas.

• Keep up to date with latest trends in machine learning, artificial intelligence, big data mining and solutions.

• Acts as internal consultant, advocate, mentor and change agent.

• Collaborate and communicate with software developers in the translation of research model to production code.

• Translate and effectively communicate complex concepts to a broad audience.

• Collaborate and communicate with data integration teams when data quality issues are discovered.

• Communicate results and ideas to key decision makers.

• Maintain appropriate knowledge of clinical systems used across veterinary healthcare industry.

What You Need to Succeed:

• Proven experience with data formats, structures and common methods in data transformation (CSV, XLS, JSON, Avro, Parquet as well as in relational and NoSQL databases such as MySQL, Oracle and HBase); data sources (cloud systems, AWS, MySQL, Oracle); SQL and data manipulation; big data tools (Spark, Hadoop).

• Experience using core data science tools such as R, SAS, Python, Matlab, Java; boutique machine learning tools (TensorFlow, Theano, H2O Machine Learning).

• Strong statistical foundation with broad knowledge of deterministic and probabilistic statistical methods.

• Excellent pattern recognition and predictive modeling skills.

• Thorough data exploration in advance of predictive modeling.

• Technical knowledge of distributed computing platforms and common data process flows.

• Classification - decision trees, logistic regression, random forest, SVM, neural networks

• Regression - linear, nonlinear, boosted decision trees

• Clustering - K-means, hierarchical, mixture modeling, anomaly detection

• Time series - ARIMA

• Dimensionality reduction - PCA, SVD

• Experience in health care domain preferred

• Natural curiosity to research and identify possible quantitative solutions to common business problems.

• A strong business orientation, able to select the appropriate complex quantitative methodologies in response to specific business goals.

• Strong communication skills, both verbal and written, including ability to translate technical subject matter to non-technical audiences (both as a speaker and listener).

• Fluency in the English language.

• You meet the physical requirements that go with working as a Data Scientist Sr – Extensive sitting, phone and computer use.