152 applicants

Company

Original Job Post

Boehringer Ingelheim · 3 days ago

Senior Data Scientist

Fremont, CA

Full-time

Onsite

Senior Level

4+ years exp

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Comp. & Benefits

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Responsibilities

Understands business problems and design end-to-end data science use cases

Collaborates across the business to understand data and business constraints

Prioritizes, scopes, and measures the corresponding Key Performance Indicators (KPIs)/ Objectives and Key Results (OKRs) for success

Collaborates with developers to implement and deploy scalable solutions

Establishes best data operational practices and maintain all compliance requirements

Establishes the monitoring of data science models in production

Applies strong expertise in data science to design, prototype, and build the next-generation analytics engines and services

Generates hypotheses about the underlying mechanics of the business process together with domain experts

Identifies, evaluates, and implements the most appropriate algorithm for the specific challenge

Guides the organization about the business potential and strategy of artificial intelligence (AI)/data science

Actively networks on a regular basis with domain experts to better understand the business mechanics that generated the data

Quickly develops extensive domain knowledge in various topics

Trains and coaches other business and staff on basic data science principles and techniques

Actively networks on a regular basis with internal and external partners

Promotes collaboration and knowledge exchange with other data science teams within and outside the organization

Provides thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders

Qualification

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Data scienceQuantitative analysisTechnical expertiseComputing languagesUNIX environmentsETL processesDatabase managementData hygieneScripting languagesValidation & experimentationMachine learningStatisticsData visualizationArtificial intelligenceNatural language processingRegression methodsTime-series analysisPredictive modelingCausal inference methodsBayesian networksMarkov random fieldsText analysisChange managementStakeholder managementBusiness transformationProject managementProblem-solvingAdaptabilityCommunicationRelationship-building

Required

BS degree, with six-plus (6+) years relevant industry experience

MS degree with four-plus (4+) years relevant industry experience

PhD degree with two-plus (2+) years relevant industry experience

Scientific degree in quantitative discipline such as theoretical physics, mathematics, computer Science, bioinformatics etc

Deep technical expertise in at least one relevant field

Experienced in handling unusual data sets such as unstructured data or big data

Broad understanding of current technologies and technological developments including ability to evaluate potential technological benefits for data science projects

Five-plus (5+) years’ experience in relevant computing languages such as R, Python and C++

Experienced in handling UNIX environments

Understanding of ETL processes and experience with various data formats

Experienced in handling various types of databases including database operations and understanding of database concepts and architectures

Well-developed understanding of data hygiene as well as data enrichment

Experienced in handling databases including ability to run queries

Sound knowledge in scripting languages such as PHP, Perl, Bash

Ability to rapidly develop analytical problem-solving approaches to complex problems, including external constraints such as resource limitations, feasibility topics, consumption by business, change management aspects, etc

High level of expertise to design, set up and execute validation and experimentation of data science outcomes in business and market environments

High level of expertise in relevant methods and skills such as machine learning, advanced statistics, algebra, data visualization, artificial intelligence, natural language processing, classification methods, feature extraction, dimensionality reduction, data handling algorithms, regression methods, time-series analysis, predictive modeling, causal inference methods, Bayesian networks, Markov random fields, text analysis, etc

Ability to successfully manage different and potentially conflicting interests of various stakeholders in the framework of data science projects

High expertise in change management demonstrated through several projects that involved a high degree of business transformation

Ability to build relationships with business partners, operational managers, and colleagues

Ability to handle multiple priorities under set deadlines

Ability to constantly adapt to a fast-paced multidisciplinary changing environment (e.g., with regards to new data types or changes in competitive landscape)

Must be legally authorized to work in the United States without restriction

Must be willing to take a drug test and post-offer physical (if required)

Must be 18 years of age or older

Preferred

Experience with Large Language Models and/or mechanistic models is a plus

Benefits

Competitive compensation and benefit programs

Healthy working environment

Meaningful work

Diversity and inclusion

Mobility

Networking

Work-life balance

Company

Boehringer Ingelheim

Glassdoor

4.2

Boehringer Ingelheim is a group of pharmaceutical companies that focuses on prescription medicines and animal health. It is a sub-organization of Boehringer Ingelheim.

Founded in 1885

Ingelheim Am Rhein, Rheinland-Pfalz, DEU

10,001+ employees