Stop searching. Start growing. It’s time to build a meaningful career where you can grow, your ideas can thrive, and you are recognized and valued. Join a team committed to your excellence, and apply to Safety National today!
This opportunity is in the Data Analytics Department.
Data Analytics/Data Science:  Curious about data science and analytics? Our Data Analytics department seeks those passionate about using data to tell business stories, inform decision making and solve business problems. If you are a curious professional with education or experience in data science, statistics, and machine learning, this is an excellent opportunity to be part of a highly impactful, innovative and diverse team.
Role Description:
In the role of Lead Data Scientist we are seeking a seasoned data science professional with proven track record in leading and overseeing the execution of data science projects. As a lead data scientist, you will provide expertise in advanced statistical modeling, machine learning, and risk assessment within the insurance context, and collaborate closely with business stakeholders to drive the development and implementation of advanced analytics solutions to contribute to SNCC's strategic objectives.
Your day-to-day responsibilities in this role will be:
Provide technical leadership, mentorship, and guidance to the data science team on project execution. Oversee end-to-end data science project delivery, ensuring that projects are completed on time, within scope, and meet quality standards.
Identify opportunities for leveraging data science to enhance business processes, improve decision-making, and drive innovation.
Provide guidance and direction to junior data scientists on analyzing large and diverse insurance datasets, and creating clear and insightful visualizations, reports and dashboards to communicate complex data findings and provide actionable insights to business stakeholders.
Collaborate with stakeholders across departments, including underwriting, claim, actuarial, IT, and business development, to understand their needs, deliver data-driven solutions and drive data initiatives.
Stay at the forefront of industry trends, emerging technologies, and advancements in data science within the insurance sector, and advise on the application of new methodologies and techniques in projects to drive innovation.
Facilitate the implementation of best practices for data science, machine learning, and analytics within the team.
If this role describes you, don’t delay. Apply today!
Qualifications:
Education:
Master degree in a quantitative field such as Statistics, Mathematics, Actuarial Science, Computer Science, or related discipline.
Required Qualifications:
Master degree in a quantitative field such as Statistics, Mathematics, Actuarial Science, Computer Science, or related discipline.
Proven experience (8+ years) as a Data Scientist, with a track record of successfully leading data science projects. Candidates with Ph.D. degree and 4+ years of industry experience will also be considered. Experience in financial service industry is preferred.
Expertise in advanced statistical modeling, machine learning, and risk assessment.
Expertise in programming languages such as Python or R, along with proficiency in relevant libraries (e.g. Scikit-Learn, XGBoost, TensorFlow, etc.)
Extensive experience in working with relational database management system such as Microsoft SQL Server, and cloud-based Data Warehouse such as Snowflake, and advanced skills in writing complex SQL queries for data retrieval, transformation and analysis.
Preferred Qualifications:
Ability to design and implement database model for the needs of data science projects.
Excellent leadership and communication skills with the ability to influence and collaborate at all organizational levels.
Familiarity with insurance-specific data sources, regulatory requirements, and industry standards is advantageous.
Protect the confidentiality, integrity and availability of information and technology assets against unauthorized disclosure, destruction and/or alteration, in accordance with Safety National policies, standards, and procedures.
A Benefits Structure That Puts Employees First
Safety National’s approach to benefits reaches far beyond competitive fixed compensation. Instead, we construct a total rewards benefits package for each valued member of our team. Highlights include incentive award bonuses, an annual holiday bonus, and profit-sharing contributions. Other exceptional benefits include generous healthcare coverage, a 401(k) match, enhanced paid caregiver leave, and family-forming benefits for adoption, surrogacy, and fertility. We also promote balance by offering a hybrid working environment and several employee appreciation events throughout the year. Apply today to learn more about our total rewards approach.
Safety National is committed to fair, transparent pay and we strive to provide competitive, market-based compensation. In our vision to be First with Co-Workers, compensation is only one piece of the comprehensive total rewards package we offer. The target salary range for this position is $127K to $204K. Compensation for the successful candidate will consider the candidate’s particular combination of knowledge, skills, competencies, experience and geographic location.

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We’re a leader in the pet care industry, which means we’re not only ahead in volume, profit and market share, but our associates dare to Stand Taller. We innovate new products, impart new agilities into existing processes, constantly advance pet nutrition, and always pay it forward in the form of service for our communities and families. Are you up for the dare? This position is not eligible for Visa Sponsorship. Position Summary Our roots were planted here in 1894, and we have since expanded to 24 manufacturing facilities nationwide. St. Louis, a hidden gem, offers a unique blend of big-city amenities and a small-town feel. Discover a rich culture, world-class schools, top-notch healthcare, and affordable living. With neighborhoods to suit every lifestyle, St. Louis is the perfect place to call home. Join us in this vibrant city, where we proudly work together to make a difference in the lives of people, our pets, and the environment. The Demand Planning Statistician applies complex predictive analytics using large data to support continuous improvement, decision-making, and operational effectiveness across the Supply Chain. Responsible for predicting Nestle Purina Pet Care’s product demand in North America, the Demand Planning Statistician uses data science techniques to develop and enhance forecast models for the manufacturing plants as well as customer accounts. The Demand Planning Statistician is focused on improving forecast accuracy, reducing forecast bias, increasing customer fulfillment, and predicting changes in customer demand. Forecasting: Utilize a variety of statistical techniques including regression, ARIMAX, ESM, and other time series methods to develop and improve predictive models. Revise and enhance forecast models by incorporating additional data. Investigate and implement innovative solutions to predict demand at multiple product and customer hierarchies. Project Consulting: Provide internal data science consulting services. Help business partners identify opportunities and problems that can be addressed through data science solutions. Support small-scale projects from initial ideation through planning, execution, and delivery. Programming: Automate data acquisition, modeling, and visualization in order to streamline and simplify processes. Clean and transform data to prepare datasets for further analysis. Adhere to programming best practices while working with multiple programming languages. Advanced Analytics: Apply predictive analytics, optimization, and visualization techniques in order to understand, describe, and predict data. Combine various data inputs (shipment, order, POS, and promotional data) from different external sources (Sales, Marketing, Operations Planning, Customer Facing, and more) as potential predictors of customer demand. Report building: Design and implement advanced reporting to support business needs. Review metrics: Implement actions to improve forecast accuracy, bias, and variability to meet demand planning performance targets. Collaboration: Engage across the demand planning functions to stay in-tune with business performance. Leverage collaborations to challenge models and ways of working for continuous improvement. Seek to acquire new knowledge in advanced and emerging techniques to implement new approaches. Communication: Present or provide data and information that educates and informs cross functional stakeholders. Requirements Master’s Degree in statistics, analytics, mathematics, or a related field 1 years’ experience solving business problems with advanced quantitative analysis and data science methodology The approximate pay range for this position is $80,000 to $115,000. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to knowledge, skills and abilities as well as geographic location. Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with Company match, healthcare coverage and a broad range of other benefits. Incentives and/or benefit packages may vary depending on the position. Learn more at About Us | Nestlé Careers (nestlejobs.com) REQUISITION ID 326142 It is our business imperative to remain a very inclusive workplace. To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestlé seeks such skilled and qualified individuals to share our mission where you’ll join a cohort of others who have chosen to call Nestlé home. The Nestlé Companies are an equal employment opportunity and affirmative action employer seeking diversity in qualified applicants for employment. All applicants will receive consideration for employment without regard to race, ethnicity, color, gender, gender identity, age, religion, national origin, ancestry, disability, perceived disability, medical condition, genetic information, veteran status, sexual orientation, or any other protected status, as defined by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodationsnestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467. This position is not eligible for Visa Sponsorship. Review our applicant privacy notice before applying at https://www.nestlejobs.com/privacy

Overview: Come join us in Firm Strategy, where we strive to unleash the full potential of data and AI to address business challenges. As a Data Scientist on our team, you will design, develop and deliver data science solutions requiring advanced mathematical methods, statistical and machine learning models in support of data-driven strategies. You will combine data from multiple sources to develop innovative solutions to business problems and collaborate with business partners and other data scientists to develop tailored analytic solutions that inform and influence decisions across the firm. Key Responsibilities: Partner with business partners to design, develop and deploy solutions that enable hyper-personalized interactions. Use machine learning, numerical optimization, and statistical modeling to discover and explain patterns in data. Create features and develop models beyond standard toolset libraries to meet unique business challenges. Proactively interpret and communicate findings and insights from the data to business partners. Clear communication without technical jargon is important to success. Execute projects from design and data-gathering, through implementation, final delivery, and monitoring. Define data needs and evaluate data quality for applicability to posed problems. Rapidly optimize data and model inputs to increase predictiveness and relevance in response to changes in data availability, data quality, or business specifications. Edward Jones' compensation and benefits package includes medical and prescription drug, dental, vision, voluntary benefits (such as accident, hospital indemnity, and critical illness), short- and long-term disability, basic life, and basic ADandD coverage. Short- and long-term disability, basic life, and basic ADandD coverage are provided at no cost to associates. Edward Jones offers a 401k retirement plan, and tax-advantaged accounts: health savings account, and flexible spending account. Edward Jones observes ten paid holidays and provides 15 days of vacation for new associates beginning on January 1 of each year, as well as sick time, personal days, and a paid day for volunteerism. Associates may be eligible for bonuses and profit sharing. All associates are eligible for the firm's Employee Assistance Program. For more information on the Benefits available to Edward Jones associates, please visit our benefits page. Master of Science Degree in a quantitative field required. PhD degree desired. 5 years professional experience. Proficiency with one or more computing languages (Python, SQL). Ability to deliver capabilities that derive insights or novel ideas from data and mathematical models using best data science practices. Connect insights to desired research or business outcomes. Demonstrated ability and interest in learning new algorithms and tools, e.g. GenAI, machine learning, and optimization. Proficiency with cloud computing platforms and distributed systems for large-scale data processing. Please note: Candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office three days per week, with preference for Tuesday through Thursday. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act. Edward Jones is prohibited from hiring individuals with certain specified criminal history as set forth in Section 3(a)(39) and 15(b)(4) and Rule 17a-3(a)(12) of the Securities and Exchange Act of 1934, and conducts background reviews consistent with FINRA Rule 3110(e). A copy of a notice regarding the provisions of the Los Angeles County Fair Chance Ordinance is available at: dcba.lacounty.gov/wp-content/uploads/2024/08/FCOE-Official-Notice-Eng-Final-8.30.2024.pd . Equal Opportunity Employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity

As a Data Scientist at 1904labs, you will work in an Agile environment while leveraging our clients' data to implement data science algorithms as scalable, hosted services. You will be responsible for conceptualizing and executing projects from start to finish, identifying the appropriate data and methodologies to answer business questions using best practices and innovative approaches.

Overview GeoYeti is a division of Bcore, a full-spectrum intelligence company built on trust and teamwork whose core mission is to innovate within the national security space. GeoYeti focuses on advanced analytics, data science, development of the applications that support such work. We seek a mid-level DATA SCIENTIST to support a client in St Louis, MO . We support a broad range of IC and DoD clients, though a common theme across our portfolio is that our team members, regardless of their role, interact with the end users around the globe. GeoYeti offers competitive pay, a sign-on or relo bonus, and amazing benefits, to include up to 6 percent company contribution into your 401k; 100 percent company paid premiums for medical (to include 100 percent of your medical deductible), dental, vision, life, and short- and long-term disabilities; tuition reimbursement; gym stipend; commuter stipend ($10/day after tax); automatic enrollment in the GeoYeti 360 Bonus Program; and many others. Responsibilities This work requires staff qualified to have a basic understanding of GEOINT integration work but also serve as a data scientist. The work requires a basic understanding of GEOINT from collection, exploitation, analysis and product delivery capabilities. Qualifications Required Qualifications: Active TS/SCI clearance required to start. Must be willing to sit for a CI poly. 3-6 years' experience in programming languages such as Python or R (statistical analysis), data preprocessing, and basic machine learning algorithms. Working knowledge of ArcGIS, ArcSDE, ArcPro. Familiarity with common data science libraries and frameworks, plus PostgreSQL, Postgis, PgAdmin, and APIs. Desired Qualifications: Experience with workflow management systems, such as Flowable Working knowledge of Maplnfo, MapBasic GIS, and database software Experience with data visualization software such as Tableau What you can expect from us GeoYeti is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law. GeoYeti does not have a vaccination mandate applicable to team members. Vaccination requirements will depend on the status of the federal contractor mandate and customer site requirements. Regardless of vaccination status , personnel are required to wear masks while indoors when the CDC COVID-19 Community Level is High.

Senior Data Scientist, Molecular Modeling and Drug Discovery (Specialist Senior) - SFL Scientific SFL Scientific, a Deloitte Business practice brings together several key capabilities to architect integrated programs that transform our clients' businesses, including Business Strategy, Environmental, Social and Governance Strategy, Technology Strategy & Business Transformation, and AI & Data Strategy. Professionals will serve as trusted advisors to our clients, working with them to make clear data-driven choices about where to play and how to win - ultimately driving growth and enterprise value. We are hiring a Senior Data Scientist with technical and scientific expertise in AI-based drug discovery and molecular modeling to support our team in working with clients, organizing multi-project development, and enabling technical solution delivery. Join a rapidly growing team of professionals working to build a world-class data science practice with a focus on solving complex R&D problems. Recruiting for this role ends on 11/3/2024. Work you'll do As a Senior Data Scientist at SFL Scientific, a Deloitte Business, you will define data strategy, drive technical development, and help us create the next generation of tools, products, and AI services. You will work closely with clients to understand their data sets, strategy, and operational requirements in order to drive exploratory analysis and design long-term solutions. You will research, design, develop, and apply new AI/ML solutions for drug discovery and development, where you will lead the progress, validation, and interpretation of deep learning and GenAI-based pipelines for therapeutic modalities ranging from small molecules to biologics and nucleic acids. Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, protein design, chemical optimization, optimizing population health, and clinical trials. This is a hands-on, highly collaborative Senior Data Scientist role working on modeling complex biological data and solving challenging chemical design problems to develop tools and platforms. As a core member of the team, you will be focused on the implementation and validation of new methods and algorithms and work collaboratively with data scientists, engineers, and industry subject matter experts to aid in the research and advancement of novel protein, molecular, and discovery techniques. + Research and implement novel machine and deep learning approaches for Drug Discovery multimodal data, including various "omics" (transcriptomics, proteomics, etc.), biologics, small molecules, imaging, etc. + Work as an individual contributor to prototype data pipelines and AI-based models using state-of-the-art algorithms relevant to R&D in the biological and chemical fields. + Work closely with external organizations to understand their drug targets, data sets, strategy, and research requirements while driving exploratory analysis and designing long-term solutions. + Take responsibility for relevant data identification, collection, QC, modeling, and validation to influence and impact pre-clinical and clinical programs for our clients. + Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production. + Lead client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives. + Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization + Validate AI models and algorithms via code reviews, unit, and integration tests. + Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives + Collaborate with data engineers, data scientists, project managers, and business. + Contribute to original research in the area of generative multimodal modeling, large language models (LLMs), diffusion models, probabilistic reasoning, and causality/causal representation learning applied to fundamental problems in life sciences. + Build, train, and evaluate multimodal foundation models utilizing various modern GPUs and distributed training infrastructure. + Work with a diverse range of multimodal and biological data types, including multi-omics data, cell/tissue images, human specimen/cohort data, bioassays, scientific literature, and more. The Team SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel, and complex projects, and offering deep domain and scientific capabilities. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses. Basic Qualifications: + Master's or Ph.D. in a relevant STEM field (Data Science, Computer Science, Engineering, Physics, Mathematics, Biophysics, etc.) + 3+ years of experience in AI/ML algorithm development and data analysis (NLP, time-series analysis, computer vision, LLMs, diffusion models) + 3+ years of experience in traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms + 3+ years of experience in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.) + 3+ years of experience with deployment and optimization - Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, etc. + 3+ years of experience with cloud deployment (AWS, Azure, GCP) preferred, such as building and scaling in AWS SageMaker or Azure ML Studio. + Limited immigration sponsorship may be available + Live within commuting distance of one of Deloitte's consulting offices + Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve Preferred Qualifications: + Strong research interest in drug optimization and discovery, chemical properties prediction, computational chemistry, handling of "omics" pipelines, and cell imaging + 3+ years of experience in R&D, AI modeling, scientific publications, and/or solution development within drug discovery or a related discipline + Ability to interact at all levels of the client organization + Excellent verbal and written communication skills and experience in a client-facing role is preferred Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $131,175 to $218,625. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. #MonitorDeloitte #DeloitteJobs #StrategyConsulting #DeloitteStrategy #Strategy25 #SFL25 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Front End Data Scientist, Senior 12+ Month Contract San Ramon, CA (hybrid) Designs, develops, and executes scripts, programs, models, algorithms, and processes, using structured and unstructured data from disparate sources and sizes, generating actionable insights for strategy and policy development, process improvement, and product enhancement. Works on technical development phases: data engineering, analytics/modeling, and visualization/user interface. Works with teams, clients, and senior leadership throughout the development cycle practicing continuous improvement. Job Responsibilities •Shares and collaborates with other PG&E data science professionals. •Works closely with domain experts to develop relevant domain knowledge in the electric and gas utility, as well as knowledge of related datasets. •Gathers, cleans, transforms, and/or reduces data from dissimilar sources from across PG&E. •Applies back end developing techniques to produce various products for use by the Meteorology Department as well as the wider company. •Documents data sources, methodology, and model evaluation metrics. •Fluent in various development technologies such as git, python, and AWS infrastructure, etc. •Can work independently while also collaborating with a team of developers. Qualifications Minimum: •Bachelors Degree in Computer Science, Engineering, Mathematics, Applied Sciences, Statistics or job-related discipline or equivalent experience Desired: •Graduate Degree in job-related discipline or equivalent experience •Utility industry experience, 1 year

Data Scientist Jobs in Saint Louis, MO

Lead Data Scientist
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Front End Data Scientist Senior
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Data Scientist Jobs in Saint Louis, MO

Lead Data ScientistDecember 15, 2024

Data Scientist Demand Planning StatisticianDecember 10, 2024

Data Scientist Ii Firm AnalyticsDecember 8, 2024

Data ScientistDecember 8, 2024

Data Scientist MidDecember 6, 2024

Senior Data Scientist Molecular Modeling And Drug Discovery Specialist Senior Sfl ScientificNovember 28, 2024

Front End Data Scientist SeniorNovember 24, 2024