Data Scientist Topeka, KS
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Job Location:
Topeka, KS - USA
Monthly Salary:
$ 113000 - 127000
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care Personal Care Home Care Skin Care and Pet Nutrition. Our products are trusted in more households than any other brand in the world making us a household name!
Join Colgate-Palmolive a caring innovative growth company reimagining a healthier future for people their pets and our planet. Guided by our core valuesCaring Inclusive and Courageouswe foster a culture that inspires our people to achieve common goals. Together lets build a brighter healthier future for all.
Are you passionate about pets and data Do you want to use your skills to make a tangible difference in the lives of cats and dogs Hills Pet Nutrition is looking for a talented and driven Data Scientist to join our Pet Nutrition Center and help us lead the way in pet health and wellness. This is your chance to apply your expertise in a rewarding environment where youll contribute to groundbreaking product innovation and development.
Role and Responsibilities
As a Data Scientist you will play a crucial role in our mission to develop data-driven approaches that accelerate product innovation and enhance our understanding of pet health. Youll partner with stakeholders across our R&D and other Hills/CP groups using your data mining and analytical skills to deliver meaningful insights that inform our nutritional impact strategies.
Core Responsibilities
Partnering with stakeholders to execute data mining campaigns and generate insights and hypotheses about the nutritional impact on pet health.
Developing validating and implementing programmatic approaches for data visualization descriptive statistical analysis and predictive modeling.
Creating analytical/ML approaches to transform image mobility and other health-related observations into quantifiable metrics.
Designing programmatic strategies to identify and solve complex data analytic problems.
Writing refining and managing Python scripts for data analytics.
Working with individuals throughout R&D to identify key data sources assess their quality and devise strategies for their utilization.
Building pipelines for data manipulation visualization and descriptive/predictive modeling using current databases.
Designing data flows to extract data from organizational architecture and ETL (Extract Transform Load) it into cloud-based systems.
Presenting your work to R&D partners and making actionable recommendations for implementation.
Building advanced data visualizations including dashboards and custom JavaScript implementations.
Sharing knowledge with the immediate data science team through regular presentations on progress challenges and new advancements.
Assisting in training R&D scientists on basic Python and analytical skills.
Staying current on new developments in data science by attending conferences webinars and following relevant sources.
Developing fine-tuning and deploying deep learning models for complex generative tasks with a focus on multimodal data.
Designing and implementing robust data pipelines for pre-training and instruction tuning of large-scale neural networks
Additional Qualifications/Responsibilities
Education and Experience
Required Qualifications
A Masters Degree in Mathematics Statistics Computer Science or Data Science with a minimum of 3 years of data analytics/programming experience OR a PhD in a related discipline with a minimum of 1 year of data analytics/programming experience.
Experience with biological health or nutrition data is required.
Proficiency with statistical Computer Languages: Proficiency with Python Julia R or Java.
Preferred Qualifications
An active GitHub account with examples of past work.
Active contribution to open-source data science projects such as Kaggle competitions.
SQL Proficiency: Experience with SQL implementations such as PostgreSQL MySQL Oracle or MongoDB.
Statistical Concepts: Strong understanding of statistical concepts including descriptive analysis experimental design Bayesian statistics sub-setting and regression.
Statistical and Data Mining Techniques: Expertise in techniques such as generalized linear models/regression random forest boosting trees text mining social network analysis and dimensionality reduction algorithms.
Compensation and Benefits
Salary Range $113000.00 - $127000.00 USD
Pay is determined based on experience qualifications and location. Salaried employees may also be eligible for discretionary bonuses profit-sharing and long-term incentives for Executive-level roles.
Benefits: Salaried employees enjoy a comprehensive benefits package including medical dental vision basic life insurance paid parental leave disability coverage and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employees hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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