The Senior data scientist will lead the innovation in Machine Learning-based tools or processes within the company, such as recommendation engines or automated lead scoring systems. As a member of the A&I team, you will be tasked with weaving structured and unstructured data together from across BI to help answer some of our biggest questions. The incumbent will have a broad understanding of the pharmaceutical industry, a deep familiarity with industry data sources, machine learning, deep learning, natural language processing and advanced analytics. Creates statistical models and is hands on with technology such as SAS, R, Python or similar tools. This role will be involved in the development of regression, classification, and clustering models based on customer level data along with knowledge of Bayesian statistics and their implementation.
This role will have experience with hypothesis or idea generation and prioritization, exploratory analysis using iterative modeling and tuning, and production integration and delivery of results to ensure adoption. The incumbent will have working knowledge of big data (parallel/MapReduce algorithm) and is responsible for creating advanced analytical models that will lead to actionable insights.
As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, diversity and inclusion, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees
Duties & Responsibilities\:
Deliver high quality data science project work by using methods such as deep learning, machine learning, advanced analytics and natural language processing to solve business needs. Identify appropriate methodology, data sets and advanced analytical tools.
Ability to connect and explain data science technical aspects with business customers. Strong analytical skills for effective problem solving.
Responsibility for building computational models, discovering insights and identifying opportunities through the use of statistical and algorithmic methods as well as data visualization techniques.
Architecture and applications on or incorporating innovative data analytic technologies such as Hadoop, Spark, R, and other open source and proprietary data analytics platforms and tools
Data Scientists work closely with key business partners to turn data into critical information and knowledge that can be used to make smart business decisions.
Architecture and applications on or incorporating cloud infrastructure-, platform-, and/or software as a service (particularly data analytic solutions on Amazon AWS, Microsoft Azure, or other cloud platforms and service providers)
Masters’ degree in mathematics, statistics, computer science or related field with a minimum of 7 years of experience. PHD in related field highly preferred. If PHD, 5 years of experience is required
7+ years of experience manipulating (large) datasets and using database
5+ years’ experience with a general-purpose programming language (such as R, Python, Hadoop MapReduce or other big data frameworks, Java).
Passion for science and scientific problem-solving paired with a strong appetite for solving challenging business questions
Demonstrated strong business, analytical and technical expertise.
Strong track record of successful data science projects
Experience in the use of statistical packages and machine learning libraries
Demonstrable ability to quickly understand new analytical and mathematical concepts and to come out with original solutions to mathematical issues.
Good interpersonal skills.
Excellent written and communications skills to report back the findings in a clear, structured manner are required. Strong Storytelling skills.
Business competencies\: Change management, conceptual thinking, innovation, problem solving, and team work, pro-activity.
Experience with multiple NoSQL data stores, Including MongoDB, Neo4J, RedShift and Cassandra. Knowledge of Bayesian statistics and their implementation. Working knowledge of frameworks such as R Shiny and Django.
Understanding of WebServices as well as JSON and XML formats
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
Boehringer Ingelheim is one of the world’s top 20 pharmaceutical companies and operates globally with approximately 50,000 employees. Since our founding in 1885, the company has remained family-owned and today we are committed to creating value through innovation in three business areas including human pharmaceuticals, animal health and biopharmaceutical contract manufacturing. Since we are privately held, we have the ability to take an innovative, long-term view. Our focus is on scientific discoveries and the introduction of truly novel medicines that improve lives and provide valuable services and support to patients and their families. Employees are challenged to take initiative and achieve outstanding results. Ultimately, our culture and drive allows us to maintain one of the highest levels of excellence in our industry. We are also deeply committed to our communities and our employees create and engage in programs that strengthen the neighborhoods where we live and work. Boehringer Ingelheim, including Boehringer Ingelheim Pharmaceuticals, Inc., Boehringer Ingelheim USA, Boehringer Ingelheim Animal Health USA, Merial Barceloneta, LLC and Boehringer Ingelheim Fremont, Inc. is an equal opportunity and affirmative action employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender identity or expression; affectional or sexual orientation; disability; veteran or military status, including protected veteran status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.
Boehringer Ingelheim is firmly committed to ensuring a safe, healthy, productive and efficient work environment for our employees, partners and customers. As part of that commitment, Boehringer Ingelheim conducts pre-employment verifications and drug screenings.