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Job Title : Data Scientist

Location : Hybrid Lincolnshire, IL

Our client is seeking a Data Scientist to support our pricing and inventory activities in retail business. In this role, you will use data science, statistics, economics, mathematics or similar training and experience to develop models (machine learning and other), perform analysis, and create analytic measures.

You will be part of the pricing team focused on implementing new pricing, policies, and processes.

Responsibilities :

• Work with the pricing and inventory team improved business outcomes in conjunction with the pricing and inventory teams.
• Using Python, SQL, R, and analytical tools to organize and analyze data.
• Identifying data sources and cleaning data for analytics work.
• Exploring new datasets for actionable insights and joining multiple datasets for deeper analysis.

Must Have Qualifications :

• 3 or more years of relevant experience in a commercial environment.
• Machine learning, feature selection and engineering, rule-based modeling, and linear optimization experience.
• Experience with seasonality measurement and forecasting methods.
• Scoping of data science projects and defining projects and quantitative questions based on business goals.
• Knowledge of data cleaning, data exploration, statistical analysis, and visualizations.
• Python and SQL experience.
• Data Science, Statistics, Economics, Quantitative Marketing or closely related degree at master’s or PhD level.
• Experience with Microsoft Office tools (Word, Excel, PowerPoint, Outlook).
• Ability to work independently to complete assigned tasks.
• Must be diligent, organized, and extremely detail oriented.
• Ability to maintain professional demeanor and strict confidentiality.

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Job Description

About L.E.K. Consulting

L.E.K. Consulting is a global management consulting firm that uses deep industry expertise and rigorous analysis to help business leaders achieve practical results with real impact.

We are uncompromising in our approach to helping clients consistently make better decisions, deliver improved business performance and generate greater shareholder returns.

The firm advises and supports global companies that are leaders in their industries including the largest private and public sector organizations, private equity firms and emerging entrepreneurial businesses.

Founded more than 35 years ago, L.E.K. employs more than 1,800 professionals across the Americas, Asia-Pacific and Europe.

014239 Corp

The Data Scientist will work with the Quality Director to provide technical process support for production and engineering teams. This position shall :

• Support plants with statistical methods (e.g. SPC, DOE, capability studies) and execution of improvement projects
• Own, manage, and execute division wide data science initiatives
• Gather and identify data science possibilities / initiatives / requests in collaboration with Quality, IT, and Engineering

This position requires willingness to travel up to 30% and is based in Chicago, IL.

Mauser Packaging Solutions is a global leader in solutions and services across the packaging lifecycle, providing large and small metal, plastic, fiber and hybrid packaging worldwide to companies in industries from food, beverage, personal care and pharmaceuticals to chemicals, petrochemicals, agrochemicals and paints.

Bringing together the very best of its four legacy companies BWAY, MAUSER Group, NCG and ICS Mauser Packaging Solutions offers its customers true sustainability at scale.

Responsibilities :

• Drives execution and implementation of data science roadmap
• Owns, manages and drives local data science initiatives according to prioritization (e.g. Quality, Yield, and OEE improvement, downtime analysis) this includes managing the cross-functional interdependencies
• Manages and drives process monitoring and process improvement (e.g. descriptive statistics and visualization, statistical process control, out-of-the-box-tools)
• Provides necessary training to corporate and plant teams

Mauser Packaging Solutions is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Job Requirements

• University degree of science / business
• Advanced degree required (Masters, MBA, or PhD) in highly quantitative field, e.g. in Engineering, Mathematics, IT, Economics or Physics with focus on Control Theory / Statistics / Mechatronics, Information / Operation Management / Strategy / Economics, Technology or Innovation Management
• 2+ years work experience in data analysis related position or equivalent academic experience
• Hands-on experience in applying and executing Artificial Intelligence / Deep Learning, Machine Learning, Big Data and Digital with respective programming knowledge
• Ability to translate business needs into data analytics concepts and vice versa
• Experience in Artificial Intelligence / Deep Learning, Machine Learning, Big Data and Digital
• Respective programming knowledge in Python / R / C is required - further programming experience is advantageous
• Proficiency in database languages (SQL), understanding of data models and databases
• Compositional data analysis and analyzing time series data
• Distributed computing, stochastic modeling, sampling methods and randomized algorithms
• Project management skills

Competencies :

• Ability to work independently
• Strong interpersonal skills
• Attention to detail right first-time approach
• Results oriented
• Innovative
• Persistent
• Honest

You could be the one who changes everything for our 28 million members. Centene is transforming the health of our communities, one person at a time.

As a diversified, national organization, you’ll have access to competitive benefits including a fresh perspective on workplace flexibility.

Position Purpose : Responsible for advanced and predictive data analytics from complex and high value projects using big data and data science technology for healthcare innovation and outcomes.

Responsible for conducting complex statistical and algorithmic data analyses and development of technologies to improve the health of members.

Design and develop analysis tools that extract, prepare, and analyze data and store analytical results for downstream analysis and reporting for business needs

Build key data sets to empower operational and exploratory analysis and designing and evaluating experiments monitoring key product metrics, understanding root causes of changes in metrics

Develop tools to convert unstructured data to partially or fully structured representations as well as process large sets of data to derive statistical information.

Apply expertise in quantitative analysis, data mining, and the presentation of data to understand how users interact with business products

Develop of mathematical and statistical models for distinguishing relevant from irrelevant content or events.

Participate in developing presentations and communicate results of research analysis and findings.

Participate in the design of automated, operational analytics processes to achieve scale and durability of analysis processes.

Measure and validate the outcomes of health management programs using SAS, R and other tools, to include provider data, claims data, membership data, etc.

Coordinate analysis and development initiatives and capabilities with health plans.

Manage multiple projects as assigned and assist with training Data Analysts.

Responsible for development efforts with technical team liaisons, including gathering business requirements, documentation, testing, delivery and user adoption, and communicate expectations to the Health Plan.

Education / Experience : Master’s degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, or Experimental Science or related degree and 8+ years of experience;

or Bachelor’s Degree in a quantitative discipline and 10+ years of experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and cleaning structured and unstructured data.

Ph.D. degree in a quantitative discipline preferred. Experience working with large databases, data verification and data management.

Experience with database technologies, including Oracle, SAP, DB2, Teradata, MS SQL Server, SAP HANA, MySQL, etc. Data modeling, data architecture, MDM, and data governance experience preferred.

Project experience with Hadoop ecosystem preferred.

Our Comprehensive Benefits Package : Flexible work solutions including remote options, hybrid work schedules and dress flexibility, Competitive pay, Paid time off including holidays, Health insurance coverage for you and your dependents, 401(k) and stock purchase plans, Tuition reimbursement and best-in-class training and development.

Pay Range : $101,500.00 - $187,800.00 per year

Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law.

Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law.

At Precise Solutions, we are looking for top talent consultants to bring on as employees of our organization and service our clients in the various Life Sciences Industries.

We are much more than a consulting firm! Precise Solutions provides competitive compensation packages with great salaries, benefits, health insurance, paid time off and employer-based 401k contributions.

We currently have an immediate need for the following : Job Title : Data Scientist Location : ONSITE- Lake County, IL USA Compensation : $61.

00 per hour, Paid Time off, Company 401k contributions, Health, dental, and vision insurance. Total Annual Compensation including benefits is $141,000.

00 Note : Please do not submit resumes with candidate photos, they will not be considered. Data Scientist Top Skills Strong knowledge of data science and machine learning Tools used for data science machine learning (RPython, Tytorch, Tensor Flow) Exposure to End to End Mahcine learning projects Good communications and interpersonal skills Data Scientist Nice To Have Previous exposure to building ML Models Data Scientist Job Description The Enterprise Data Scientist is the key player in driving advanced analytics and maturing AI at a global pharmaceutical client supporting multiple use cases across various business technology organizations.

The Data Scientist is covering but not limited to language / image processing, machine learning analytics, deep learning analytics etc.

The use cases cover areas in pharmaceutical research and development, commercial operations, manufacturing systems, supply chain planning, logistics, infrastructure processes etc.

The successful Data Scientist will translate business needs into analytic questions; conduct data exploration leveraging data from disparate data stores cross the client’s Data Silos and Warehouses (including data lakes, traditional relational and non-relational data);

develop model specification; design and perform rigorous analyses of operational, customer, and financial data; and translate these analytic findings into leading information for our business partners.

This position would act as an advisor to executive and management level decision makers. This individual would provide end-to-end’ guidance on deployment of machine learning models including data governance and industry best practices with a lens towards agility and efficiency, leveraging a) data science and statistical methods, b) programming languages such as R, python, Spark, SAS, c) libraries such as TensorFlow, Pytorch etc.

d) technology capabilities such as containers and orchestration (Docker, Kubernetes) in on-prem, cloud and hybrid infrastructures.

Responsibilities : 7+ years of experience (flexbile on #yrs based on skillsets) Consult with internal and external stakeholders to determine how best to apply descriptive analysis and / or statistical learning to support business objectives across the client’s use cases.

Demonstrate a thorough understanding of concepts related to statistical methods, language and image processing and operations research and how to use them for solving real world problems.

Apply linear models, machine learning algorithms, times series forecasting, and modern optimization methods (i.e. metaheuristics) to understand and / or predict events impacting various business operations.

Understand the guidelines needed to build credible and efficient simulation models used to inform the decision-making process.

Collaborate with subject matter experts and data engineers to deploy advanced analytic solutions into the operational environments.

Adhere to agile project management frameworks and set the direction of data science initiatives Qualifications : Masters or Bachelors in quantitative discipline (e.

g. applied math, operation research, computer science, etc.) Lifesciences, healthcare analytics background preferred. Practical experience with times series forecasting, monte carlo analysis, spatial analysis, and / or machine learning (random forest, neural nets, SVM, etc.

Familiarity and use with public datasets such as Clinicaltrials.gov, imagenet, COCO etc. Familiarity with Machine Learning solution offerings / operationalize from cloud providers such as AWS (ex.

Sagemaker), Azure, GCP. Familiarity with the concepts of container-based machine learning models, automation and operations.

Familiarity with language models (SpaCy, NLTK, Stanford NLP) and using them to operationalize and enhance chatbot user experience.

Familiarity with navigating in both a relational (Teradata-based) and non-relational (Hadoop) environment. SQL skillset is strongly desired.

Knowledge of Java / Scala / Apache Spark is a bonus Proficiency in R / Python; familiarity with libraries such as Tensorflow, café, Pytorch etc.

Practiced in exploratory data analysis (EDA) and manipulating large data sets Capable of accessing external data sources through various APIs (e.

g. google distance matrix, quandl financial data, etc.) Powered by JazzHR