Staff Data Scientist

WHAT YOU CAN EXPECT

PRIMARY DUTIES AND RESPONSIBILITIES:

• Research, design, implement andvalidatecutting-edgealgorithms using new statistical or other mathematical methodologies to analyze diverse sources of data to achieve targeted outcomes.

• Develop,enhanceandmaintainadvanced analytic models that generate new business insights or deliver predictive services to applications/teams within IDEXX.

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

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

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

• Keep up to date withlatesttrends in machine learning, artificial intelligence, big dataminingand 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.

• Maintainsappropriate knowledgeof clinical systems used acrossveterinaryhealthcare industry.

EDUCATION:

• Master's Degree or equivalent combination of education and experiencerequired. PhD preferred.

REQUIRED SKILLS AND ABILITIES:

• 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 andidentifypossible quantitative solutions to common business problems.

• A strong business orientation, able to select theappropriate complexquantitative methodologies in response to specific business goals.

• Strong communicationskills, 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.

PHYSICAL DEMANDS:

• Extensive sitting,phoneand computer use.

• Some travel may berequired.

WORK ENVIRONMENT:

• General office environment.

• Normal office noise level, with occasional moderate noise.

LEVELING GUIDE:

• Technically Experienced

• Designs and builds new data modelsutilizingoff-the-shelf machine learning algorithms and tools.

• Works efficiently and independently along the whole data science pipeline - acquisition, exploration, cleaning,modelingand evaluation.

• Experience with various data structures and common methods in data transformation.

• Excellent pattern recognition and predictive modeling skills.

• Ability to create new tools and packages for data science use in statistical/data science programming environments such as R, SAS, Python/Pandas.

• Ability to create new complex SQL data queries

• Focused Experiencewith doingdata sourcing, manipulation, analysis on Hadoop and/or Spark platform.

• Skilled Core Competencies (building on Data Scientist)

• Think Big -demonstratesstrategicmindset and cultivates innovation.

• Ensures Impact - talented at planning and driving results.

• Works Across Organization - Skilled capabilities in building informal and formal networks, with strong persuasion skills.

• BringsPeople with you - Capable of developing talent to meet both their career and organizational goals.

• Some experience with Machine learning (supervised and unsupervised) modeling

What you can expect from us

Salary: $155,000 - $165,000

Additionalbenefits include pet insurance, mental health resources, volunteer paid days off, employee stock program, foundation donation matching, and more!

5% matching 401k

Health / Dental / Vision Benefits Day-One

Opportunity for annual cashbonus

Why IDEXX

We'reproud of the work wedo, becauseour work matters. An innovation leader in every industry we serve, we follow our Purpose and Guiding Principles to help pet owners worldwide keep their companion animals healthy and happy, to ensure safe drinking water for billions, and to help farmers protect livestock and poultry from disease. We have customers in over 175 countries and a global workforce of over 10,000 talented people.

So, what does that meanforyou? We enrich the livelihoods of our employees with a positive and respectful work culture that embraces challenges and encourages learning and discovery. At IDEXX, you will be supported by competitive compensation, incentives, and benefits while enjoying purposeful work that drives improvement.

Let'sPursue What Matters.

IDEXX values a diverse workforce and workplace and strongly encourages women, people of color, LGBTQ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply.

IDEXX is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws

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