Senior Specialist, Data Science

Job Description
Our Company is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where Our Company has codified its 125-year legacy. Our Company's success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.
Our Company's Global Commercial Human Health division partners with colleagues from across all geographies and divisions to help serve our patients and customers around the world. This position is a "hands-on" role which is global in nature, working closely with delivery leaders across divisional and enterprise IT teams.
The role involves working with our partners across the organization to help them create scalable and production-grade AI/ML products. You will be working with a scrum team comprising of data scientists, business analysts, data engineers, and subject matter experts to deliver well-defined projects. You will be tasked with designing and creating machine learning models and retraining systems. Often, you will have to take a model prototype built by a data scientist and work with the team to put that model in production. This will involve making the model scalable and efficient (parallelizing, using appropriate libraries, adding basic efficiencies from the code/data/architecture etc.). This can also entail building or rewriting the model from scratch. Creating a model governance architecture for retraining (upon drift) will also be your responsibility. In addition, creating the architecture/framework for performance evaluation and feedback loop will also be expected, prior to handover to ML Ops team.
Your model deployment will most likely be in the cloud, and we'll look for the appropriate experience at your end. Some reporting and visualization skills will come in handy too. You don't have to be an expert in any of these topics but need to be able to demonstrate aptitude and some experience. Experience with healthcare data is a plus. Healthcare data is sometimes unstructured and mostly in the form of text and images, so NLP and/or computer vision experience is a desirable. We will look to your help in creating technical roadmaps for the projects, and in their nimble execution. We are looking for someone with 2+ years of experience in the data science/engineering space. Primary Responsibilities: Work on Time-series forecasting using statistical and ML methods like LSTM, ARIMA, etc.
Work on statistical analysis and methods to analyze the various factors affecting a predictive model.
Develop sales performance and market basket analysis using Classification and Clustering models.
Understanding of ETL tools for data flow management and pre-processing.
Ensures best practices sharing and cross the organization.
Able to work functionally in the matrix setup.
Enable delivery of data-analytics projects. Have deep knowledge of the company's supported technology; understand the whole complexity/dependencies between multiple teams, platforms (people, technologies).
Communicate intensively with other platform/competencies to comprehend new trends and methodologies being implemented/considered within the company ecosystem.
Understand the customer/stakeholder's business needs/priorities and help build solutions that support our business goals.
Has overview of the DS market development to be able to come up/explore new ways of delivering analytics solutions to increase their value/contribution.
Builds 'community of practice' leveraging experience from delivering complex analytics projects.
Is tactical and develops production-grade models while thinking strategically.
Be accountable for ensuring that the team delivers solutions with high quality standards, timeliness, compliance, and excellent user experience.
Contribute to innovative experiments, specifically to idea generation, idea incubation and/or experimentation, identifying tangible and measurable criteria.
Travel will be required (~20%)
Minimum Qualifications: A BS degree in a quantitative field such as biostatistics, econometrics, mathematics, physics, or computer science.
MS is a plus
Required Experience and Skills: Minimum 2+ years of professional experience in Applied Statistics & Machine Learning, with at least 2 years on cloud environment (AWS, Azure, GCP).
Self-motivation, proactivity, and ability to work independently with minimum direction.
Excellent business acumen, with proven ability to understand business processes in detail - both at global and region/country levels - and translate these into user stories and detailed business requirements.
Leadership and negotiation skills, along with good analytical and problem-solving skills.
Experience with ETL tools for data flow management and pre-processing.
Experience with database management cloud services like RedShift, S3 to access and analyze data.
Preferred Experience and Skills: Qualifications: Candidates with a PhD are preferred to have 1+ years of experience, those with an MS are preferred to have 2+ years of experience, and those with a BS are preferred to have 5+ years of experience in AI/ML field.
Coding: Hands-on experience with programming languages, libraries, and tools used in building AI/ML products, including python, R, numpy, pandas, scikit-learn, tensorflow/keras, conda, docker, jupyter, shell, and git.
Hands-on experience in SageMaker, Databricks, MLflow Spark/distributed compute environment.
Experience using cloud-based SQL & noSQL databases (Redshift, MongoDB, etc.).
Good software engineering skills to develop efficient code and maintain reusable.
Delivery: Experience delivering explainable AI/ML solutions with compliance constraints in a regulated industry such as healthcare, aerospace, banking, or insurance.
Experiences with project management and data analytics project delivery.
Experience with Data Visualization tools like Tableau, matplotlib, etc. for effective delivery of data-driven insights.
Ability to communicate with business user/customer and with IT operations.
Good overview of complex Data analytics solutions, ability to explain consequences to both IT and business.
NOTICE FOR INTERNAL APPLICANTS
In accordance with Managers' Policy - Job Posting and Employee Placement, all employees subject to this policy are required to have a minimum of twelve (12) months of service in current position prior to applying for open positions.
If you have been offered a separation benefits package, but have not yet reached your separation date and are offered a position within the salary and geographical parameters as set forth in the Summary Plan Description (SPD) of your separation package, then you are no longer eligible for your separation benefits package. To discuss in more detail, please contact your HRBP or Talent Acquisition Advisor. Employees working in roles that the Company determines require routine collaboration with external stakeholders, such as customer-facing commercial, or research-based roles, will be expected to comply not only with Company policy but also with policies established by such external stakeholders (for example, a requirement to be vaccinated against COVID-19 in order to access a facility or meet with stakeholders). -Please understand that, as permitted by applicable law, if you have not been vaccinated against COVID-19 and an essential function of your job is to call on external stakeholders who require vaccination to enter their premises or engage in face-to-face meetings, then your employment may pose an undue burden to business operations, in which case you may not be offered employment, or your employment could be terminated. Please also note that, where permitted by applicable law, the Company reserves the right to require COVID-19 vaccinations for positions, such as in Global Employee Health, where the Company determines in its discretion that the nature of the role presents an increased risk of disease transmission.
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We are an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace. - All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status, or other applicable legally protected characteristics. - For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:
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Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, generally Tuesday, Wednesday and either Monday or Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence. -This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as "remote".
Under New York State, Colorado State, Washington State, and California State law, the Company is required to provide a reasonable estimate of the salary range for this job. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate's relevant skills, experience, and education.
Expected salary range:
$122,800.00 - $193,300.00
Available benefits include bonus eligibility, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. - For Washington State Jobs, a summary of benefits is listed here . Search Firm Representatives Please Read Carefully-
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. -No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.- Employee Status:
Regular Relocation:
No relocation VISA Sponsorship:
No Travel Requirements:
25% Flexible Work Arrangements:
Hybrid Shift:
Not Indicated Valid Driving License:
No Hazardous Material(s):
n/a Required Skills:
Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management Preferred Skills: Job Posting End Date:
05/18/2024
*A job posting is effective until 11:59:59PM on the day BEFORE -the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Job Posting End Date: 05/18/2024
A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID: R293870