AZURE Databricks Data Engineer (Utility Domain)
Data Scientist Job In Des Moines, IA
Job Title: AZURE Databricks Data Engineer (Utility Domain)
***This is a C2H role. Candidates should be willing to join the end client directly. Please ensure that this is communicated and agreed to before submitting.
Experience Level: (8+ years)
About Us: We are seeking a highly experienced Data Engineers to join our dynamic team and lead our data engineering initiatives using Azure ML and Databricks.
Job Description:
Responsibilities:
Design, develop, and maintain scalable data pipelines and ETL processes to support data science and analytics initiatives.
Utilize Azure ML and Databricks to build and optimize data architectures and workflows.
Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and ensure data availability and quality.
Implement data integration solutions to consolidate data from various sources into a unified data platform.
Analyze the generation patterns from various Solar Generation facilities and help filed teams to identify the anomalies in generation.
Ensure data security, privacy, and compliance with relevant regulations and best practices.
Monitor and troubleshoot data pipelines and workflows to ensure reliability and performance.
Stay up-to-date with the latest advancements in data engineering, big data technologies, and cloud platforms, and apply them to improve existing processes and systems.
Qualifications:
Bachelor's degree in computer science, Data Engineering, or a related field.
10+ years of experience in data engineering, data integration, and ETL processes.
Extensive experience with Azure ML and Databricks, including hands-on experience in building and optimizing data pipelines.
Proficiency in programming languages such as Python, SQL, and Scala.
Strong understanding of data engineering principles and best practices.
Experience with big data technologies such as Hadoop, Spark, and Kafka.
Excellent problem-solving skills and the ability to work independently and as part of a team.
Strong communication and interpersonal skills, with the ability to convey complex technical information to a non-technical audience.
Experience in solar generation data analysis is a plus.
Intern - Data Science
Data Scientist Job In Des Moines, IA
MidAmerican Energy Company has an exciting career opportunity available. Take the next step in your career and apply now! Skills for Success Effective oral and written communication skills. Effective analytical and problem-solving skills. Effective interpersonal skills and customer relationship skills
Ability to prioritize and handle multiple tasks and projects concurrently.
Experience using Python to develop machine learning or statistical models.
Experience using SQL to work with database tables and ETL processes.
Taken coursework in data analytics, machine learning, statistics, or computational mathematics preferred.
Qualifications
Must be a college student, sophomore, or higher standing, currently enrolled in a bachelor's degree program in data analytics, computer science, management information systems, mathematics, or related field of study.
Must be available May-August 2025.
Working knowledge of Microsoft Office and the Windows operating environment.
Employees must be able to perform the essential functions of the position, with or without accommodation.
We celebrate diversity, equity and inclusion and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law.
Primary Job Duties and Responsibilities
Identify partner teams' key problems, prototype solutions, and help solve business problems using data science and cloud technology.
Collaborate with internal business groups and domain experts to develop problems, gather requirements, and design advanced analytics solutions.
Collaborate with team members and other Data and Analytics interns to design and develop advanced analytics projects.
Perform data discovery, exploratory analysis, and data profiling activities using Python, SQL, and Power BI.
Perform data wrangling in Python and SQL supporting advanced analytics projects.
Develop advanced analytics models (machine learning, statistical, mathematical, or computational models) using Python to solve industry problems.
Develop data visualizations and dashboards using Power BI to present advanced analytical model results as well as descriptive and exploratory analytics.
Effectively communicate and present advanced analytics model results and project outcomes.
Respond to and improve from feedback from internal business groups and team members. Strive for continuous improvement and personal growth.
Use Microsoft Teams, Microsoft Office, and Azure DevOps for team collaboration, meetings, project organization, and planning.
Perform any additional responsibilities as requested or assigned.
Performance Expectations
Perform responsibilities as directed within determined time frames and with a high degree of accuracy.
Establish and maintain effective work relationships within the department and the company.
Maintain the professional competence, knowledge and skills necessary to effectively complete responsibilities; enhance job knowledge and abilities by taking personal responsibility for professional development and training.
Maintain sensitive and confidential information regarding company information.
Attend work on a regular basis and support the company's employee policies and procedures, including workplace safety rules.
Ensure all compliance aspects of position are known and followed; understand and comply with all policies, codes and regulations applicable to position and company.
Data Scientist - Utilization Management
Data Scientist Job In Des Moines, IA
Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver.
Our Heart At Work Behaviors support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.
**Position** **S** **ummary** **:**
If you're eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.
As a Data Scientist, you will collaborate with the data engineering teams to leverage advanced analytics, experimentation, causal inference, and strategic problem solving to grow products at CVS Health.
A successful candidate will be one which is able to think independently and critically, enjoys ambiguous problems with data, is highly adaptable, and loves to collaborate with both technical and non-technical leaders.
As a Data Scientist, you will:
+ Develop analytic solutions to optimize Utilization Management in healthcare
+ Explore, examines and interprets large volumes of data in various forms
+ Perform analyses of structured and unstructured data to solve moderately complex business problems
+ Utilize advanced statistical techniques and mathematical analyses
+ Develop data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs
+ Use data visualization techniques to effectively communicate analytical results and support business decisions
+ Create and evaluates the data needs of assigned projects and assures the integrity of the data
+ Explore existing data and recommends additional sources of data for improvements
+ Document projects including business objectives, data gathering and processing, detailed set of results and analytical metrics
**Required Qualifications**
+ 2+ years of relevant analytic experience
+ 2+ years' experience in SQL
+ 1+ year experience programming using Python
+ 1+ year of business experience leading analyses and initiatives with track record of business impact using data driven insights
**Preferred Qualifications**
+ Experience with Google Cloud Platform, big query, and other cloud-based tools
+ Strong written and verbal communication skills, experience presenting information to various audiences
+ Ability to effectively resolve problems and roadblocks as they occur
+ Interest in statistical analysis, data engineering and data visualization
+ Ability to work with large data sets from multiple data sources
**Education**
+ Bachelor's degree or equivalent work experience in Business Analytics, Economics, Physics, Engineering, Mathematics, Statistics, Computer Science, or related discipline.
**Pay Range**
The typical pay range for this role is:
$64,890.00 - $173,040.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company's 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off ("PTO") or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.
For more detailed information on available benefits, please visit Benefits | CVS Health (******************************************
We anticipate the application window for this opening will close on: 02/05/2025
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
Data Scientist
Data Scientist Job In Des Moines, IA
**Anywhere** **Type:** Contract **Category:** Data **Industry:** Retail **Workplace Type:** Remote **Reference ID:** JN -082024-2429 **Shortcut:** ********************************** + Description + Recommended Jobs **Description:** **Join Our Team as a Data Scientist (Remote through 2025)!**
Are you passionate about leveraging data to drive business success? We are seeking a talented Data Scientist to support data science initiatives that enhance profitability, efficiency, and customer experience. This remote role is initially planned for 12 months, with the potential for extension.
_Due to client requirement, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance._
_Rate: $75 - $85 / hr. w2_
**Responsibilities:**
+ Support existing projects and models, focusing on pricing problems.
+ Perform customized analysis and advanced analytics.
+ Maintain and refresh existing models.
+ Collaborate with cross-functional teams to present insights and recommendations to non-technical audiences.
**What You'll Deliver:**
+ Set up new product categories and run Python scripts around SQL queries.
+ Ensure data accuracy and support EC analytics.
+ Perform linear regression and other statistical analyses as needed.
**Experience Requirements:**
+ Proficiency in SQL and Python is crucial.
+ Experience with data transformation, aggregation, and running models.
+ Familiarity with pandas and NumPy libraries in Python.
+ Experience with Google Cloud tools, especially Google BigQuery, is a plus.
+ Strong communication skills and ability to build relationships with business partners.
**Interview Process:**
+ Live coding interviews will be conducted.
+ Candidates should be comfortable with Python and SQL.
_Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._
_W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality._
_Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact ********************._
_About Eliassen Group:_
_Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate._
_Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status._
_Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!_
Data Scientist, Product Analytics
Data Scientist Job In Des Moines, IA
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Scientist, Product Analytics Responsibilities:
1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
**Minimum Qualifications:**
Minimum Qualifications:
6. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)
7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
8. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
**Preferred Qualifications:**
Preferred Qualifications:
9. Master's or Ph.D. Degree in a quantitative field
**Public Compensation:**
$173,000/year to $242,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Data Scientist
Data Scientist Job In Des Moines, IA
At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker-and help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle -and get the right treatments to the right patients at the right time.
Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients:
+ Citeline - accelerate the drug development cycle
+ Evaluate - bring the right drugs to market
+ MMIT - identify barrier to patient access
+ Panalgo - turn data into insight faster
+ The Dedham Group - think strategically for specialty therapeutics
By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India.
**Job description**
Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making.
Our unique collaborative approach fosters a dynamic synergy between data science and product development. Our deep expertise in machine learning, artificial intelligence, advanced statistical modelling, and big data, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry.
**Key duties and responsibilities**
In this role as a Data Scientist, you will:
+ Collaborate with product partners and other scientists to identity new opportunities to apply AI / ML to our content and products
+ Conduct research and identify AI / ML algorithms and methods to solve specific business problems, and deliver these algorithms as microservices in collaboration with content and product engineering teams
+ Contributes towards the common data science platform
+ Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams on these developments
**Key requirements**
+ 3+ years of experience developing AI / ML applications and data driven solutions
+ Graduate degree in Computer Science, Engineering, Statistics or a related quantitative discipline, or equivalent work experience
+ Substantial depth and breadth in NLP, Deep Learning, Generative AI and other state of the art AI / ML techniques
+ Deep understanding of CS fundamentals, computational complexity and algorithm design
+ Experience with building large-scale distributed systems in an agile environment and the ability to build quick prototypes
+ Excellent knowledge of high-level programming languages (Python, Java, or C++) and core data science libraries including Pandas, NumPy and other similar libraries
+ Ability to independently conduct research and independently develop appropriate algorithmic solutions to complex business problems
+ Experience mentoring junior team members
+ Excellent problem solving and communication skills
+ Nice to have
+ M.S. in Computer Science with an AI / ML research focus and publications in top-tier journals and conferences.
+ Knowledge of the healthcare domain and experience with applying AI to healthcare data
+ Experience with AWS especially in relation to ML workflows with SageMaker, serverless compute and storage such as S3 and Snowflake
+ Experience with LLMs, prompt engineering, retrieval augmented generation, model fine tuning and knowledge graphs
**Our Guiding Principles at Norstella**
01: Bold, Passionate, Mission-First
We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do.
02: Integrity, Truth, Reality
We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn't. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals.
03: Kindness, Empathy, Grace
We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication.
04: Resilience, Mettle, Perseverance
We will persevere - even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission.
05: Humility, Gratitude, Learning
We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking.
**Benefits:**
Medical and prescription drug benefits
Health savings accounts or flexible spending accounts
Dental plans and vision benefits
Basic life and AD&D Benefits
401k retirement plan
Short- and Long-Term Disability
Education benefits
Paid parental leave
Paid time off
**_*Please Note - All candidates must be authorized to work in the United States. We do not provide visa sponsorship or transfers. We are not currently accepting candidates who are on an OPT visa.*_**
The expected base salary for this position ranges from $100,000 to $130,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus.
Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.
All legitimate roles with Norstella will be posted on Norstella's job board which is located at norstella.com/careers. If a role is not posted on this job board, a candidate should assume the role is not a legitimate role with Norstella. Norstella is not responsible for an application that may be submitted by or through a third-party and candidates should proceed with extreme caution if a third-party approaches them about an open role with Norstella. Norstella will never ask for anything of value or any type of payment during or as part of any recruitment, interview, or pre-hire onboarding process. If you are aware of or have reason to believe a job posting purportedly for a role with Norstella is fraudulent or otherwise not authorized by Norstella, please contact the Company using the following email address: [email protected] .
Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.
Atmospheric Data Scientist
Data Scientist Job 8 miles from Des Moines
We are seeking a highly skilled Data Scientist to provide scientific, analytical, and decision support for key questions around enhancements to our weather data systems, networks, and APIs. The ideal candidate will apply spatiotemporal data science and engineering tools to evaluate new weather data sources and use our data lakehouse technologies to deliver new environmental and weather data products and automations. We are targeting an hourly rate of $73/hr.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ******************** .
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: *************************************************** .
Skills and Requirements
· M.S. or Ph.D. in Meteorology, Atmospheric Science, or a related field.
· Expert-level programming skills in Python.
· Familiarity with Git-based CI/CD workflows for data science project management and reproducible research.
· Experience working with HPC or cloud computing technologies for big data and large compute jobs (AWS preferred).
· Experience working with highly multivariate spatio-temporal data sets.
· Proficiency in SQL and familiarity with lakehouse technologies.
· Experience building visualizations of scientific data. null
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to ********************.
Data Scientist
Data Scientist Job 6 miles from Des Moines
Job Title: Data Scientist
NOTE: We Prefer candidates that can work at the client facility in Urbandale, IA. Remote for only the most qualified of candidates.
Pay Rate: USD $55.00 -$58.00 Per Hour
Job description
Data Scientist Job Summary
This role will be working for Aquent Studios as a Data Scientist for one of our top clients' Intelligent Services Group. The team leverages petabyte-scale datasets for advanced analytics and model building to enable intelligent, automated equipment and improved decisions by farmers. The team also partners with product managers and data engineers to design, scale, and deliver full stack data science solutions. Join a passionate team making a difference by applying innovative technology to solve some of the world's biggest problems.
In this role, the candidate will:
Communicate with impact findings and methodologies to stakeholders with a variety of backgrounds.
Work with high resolution machine and agronomic data in the development and testing of predictive models.
Develop and deliver production-ready machine learning approaches to yield insights and recommendations from precision agriculture data.
Define, quantify, and analyze Key Performance Indicators that define successful customer outcomes.
Work closely with the Data Engineering teams to ensure data is stored efficiently and can support the required analytics.
Relevant skills include:
Demonstrated competency in developing production-ready models in an Object-Oriented Programming language such as Python.
Demonstrated competency in using data-access technologies such as SQL, Spark, Databricks, etc.
Experience with Visualization tools such as Tableau, etc.
Experience with Data Modeling techniques such as Normalization, data quality and coverage assessment, attribute analysis, performance management, etc.
Experience building machine learning models such as Regression, supervised learning, unsupervised learning, probabilistic inference, natural language modeling, etc.
Excellent communication skills. Able to effectively lead meetings, to document work for reproduction, to write persuasively, to communicate proof-of-concepts, and to effectively take notes.
What makes candidates stand-out are skills such as:
Additional experience with other languages such as R, JavaScript, Scala, etc.
Experience with Geospatial data search and analysis, geo-indexing techniques, vector and raster data structures.
Experience with remote sensing and GIS tools.
Experience with CVML
Examples of professional work such as publications, patents, a portfolio of relevant project-work, etc.
Familiarity with Distributed Datasets
Experienced with a variety of data structures such as time-series, geo-tagged, text, structured, and unstructured.
Experience with simulations such as Monte Carlo simulation, Gibbs sampling, etc.
Experience with model validation, measuring model bias, measuring model drift, etc.
Experience collaborating with stakeholders from disciplines such as Product, Sales, Finance, etc.
Ability to communicate complex analytical insights in a manner which is clearly understandable by nontechnical audiences.
Iowa HHS Lead Data Scientist
Data Scientist Job In Des Moines, IA
Print (****************************************************************** Apply Iowa HHS Lead Data Scientist Salary $96,096.00 - $136,822.40 Annually Job Type Full-time Job Number 25-01993 Agency 400 Health & Human Services -Compliance Opening Date 01/22/2025
Closing Date
2/11/2025 11:59 PM Central
LinkedIn Tag
#LI-POST
Point of Contact
Kelsey Feller **************************
+ Description
+ Questions
Job Description
Only applicants who meet the Minimum Qualification Requirements and meet all selective requirements (listed below) will be placed on the eligible list.
The Iowa Department of Health and Human Services (HHS) is seeking a Lead Data Scientist (Data Scientist 2) to build and lead the agency's data science work. This position will serve in an informal leadership capacity to conceptualize, conduct, and oversee advanced analyses to answer questions of upper agency and state leadership. The Lead Data Scientist works collaboratively across all divisions within HHS and is part of the Data Sharing, Privacy, and Open Records Bureau within the Compliance Division.
The Lead Data Scientist will serve as lead worker to other data scientists. They will provide guidance and oversight to other staff within Iowa HHS that collect, use, analyze, or disseminate data, lead a data science and advanced analytics workgroup to further data science knowledge of Iowa HHS data analysts, epidemiologists, statisticians, data scientists, and others, and provide training to data staff within Iowa HHS and locate resources and make recommendations for appropriate data science trainings to advance agency priorities. The Lead Data Scientist will represent Iowa HHS at meetings and events where advanced mathematical insight may be required.
The ideal candidate should be able to work quickly, confidently, and independently with a number of agency datasets, statistical tools, and software. They will apply a combination of mathematical, statistical, machine learning, and/or cloud computing methods to lead advanced statistical analysis and visualizations. They will understand basic database concepts including data interoperability, data dictionary, and data storage to inform strategy and data modernization efforts. They will have the ability to work in a variety of data environments, using both structured and unstructured data to link data together, manipulate information, and derive statistical information for agency decision- making. They lead advanced modeling, including predictive analytics and machine learning, and create data visualizations to forecast trends and events. Analyze, interpret, and draw conclusions from complex statistical information to help drive strategic decisions and actionable insights.
The Lead Data Scientist will need knowledge and understanding of the principles, concepts, methods, and standards of data science including data platform and tools, programming languages, machine learning, and data manipulation techniques (i.e, data preparation, data pipelines, managing ETL processes). Experience with Python and R is required.
Additionally, the Lead Data Scientist will provide current data insights and analyses for evidence- based decision-making by using advanced statistical tools to improve Iowa HHS decision-making; participate in the design or review of local, regional and state, and assessments; and use data to inform program planning, policy recommendations, communication campaigns, and/or best practices.
The Lead Data Scientist must become familiar with a large number of agency data sources and systems to provide analytic assistance in any area of the agency at any time. They will replicate studies and analyses performed by other agency staff to ensure accuracy and reliability of information provided to the public and used for decision-making. They will also review publications, presentations, reports, or other documents intended for public dissemination to assure data accuracy and consistency with other agency-produced documents.
Requirements:
Following a successful onboarding period, this position will be classified as hybrid with a minimum of 2 days per week required in office at the Lucas State Office Building in Des Moines. Additional in office days may be required periodically to accommodate in-person meetings and events.
Benefits
We have a great total compensation package for our full-time employees, including:
Iowa Public Employees' Retirement System (IPERS) (Employee contributes 6.29%/State of Iowa contributes 9.44%)
Retirement Investors Club (RIC) (Employer Sponsored Retirement Plan) (State of Iowa matches up to $75/month)
Health, Dental and Vision Insurance (See below for additional information)
Vacation Leave (96 hours/year to begin, and increases with years of service)
Sick Leave (144 hours/year)
Paid Holidays (9 days/year)
Flexible Spending Accounts
Life Insurance ($20,000 paid for by the State of Iowa)
Long-Term Disability Insurance
For additional information on benefits click here .
Click here to see how we compare with other employers or offers by using our Total Compensation Calculator.
Background Checks
Applicants will be required to complete a background check to be considered for this position.
The State of Iowa is an EEO/AA Employer
HHS values those with "lived experience" and encourages adults who were fostered as youth, foster parents, and/or parents who were in the DHS system to apply. Minorities, women, persons with disabilities and veterans are encouraged to apply (Hearing and Speech Impaired - Relay Iowa ************** TDD).
Our agency uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit ******************** .
Selectives
968 Statistics20 semester hours in post-high school coursework in statistics.
AND
976 Python12 months' experience, 12 semester hours, or a combination of both that demonstrates knowledge and understanding of the Python programming language, including but not limited to syntax, libraries, relational object mappers, multi process architectures and design.
AND
977 R Programming Language12 months' experience, 12 semester hours, or a combination of both that demonstrates knowledge and understanding of the R programming language, including but not limited to statistical sciences and analysis, data management and machine learning.
Minimum Qualification Requirements
Applicants must meet at least one of the following minimum requirements to qualify for positions in this job classification:
1) Graduation from an accredited four-year college or university with a degree in business analytics, economics, data science, statistics, mathematics, management information systems, or industrial management, and experience equal to five years of full-time work in business/data/statistical analytics, economic research, or data science.
2) All of the following (a, b, and c):
a. Five years of full-time work experience in business/data/statistical analytics, economic research, or data science; and
b. A total of four years of education and/or full-time experience in business/data/statistical analytics, economic research, or data science, where thirty semester hours of accredited college or university coursework in any field equals one year of full-time experience.
c. Possession of a professional certificate in data science, business analytics, or data analytics.
3) All of the following (a, b, and c):
a. Three years of full-time work experience in business/data/statistical analytics, economic research, or data science; and
b. A total of four years of education and/or full-time experience (as described in part a), where thirty semester hours of accredited college or university coursework in any field equals one year of full-time experience; and
c. A total of two years of graduate-level education and/or full-time experience (as described in part a), where twenty-four semester hours of accredited graduate college or university coursework in business analytics, economics, data science, statistics, mathematics, management information systems, or industrial management equals one year of full-time experience.
4) Current, continuous experience in the state executive branch that includes eighteen months of full-time work as a Data Scientist 1.
01
Do you understand that the answers to all of the following questions must be truthful, honest, and accurate to the best of your ability? Please read all questions and answers thoroughly and make sure you understand them completely.Ensure the answers to your questions match the information filled out on your application and the attachments you have uploaded. If the answers to your questions are inconsistent with your application information or uploaded attachments, you will be given zero points for the question.Knowingly misrepresenting the facts when submitting any information related to an application, examination, certification, appeal, or any other facet of the selection process will result in your disqualification from this application and future employment with the state of Iowa.
+ Yes - I understand and agree.
+ No
02
Have you filed a registration statement pursuant to the federal Foreign Agents Registration Act of 1938, as amended, 22 U.S.C. §611 et seq?
+ No - I have NOT filed a registration statement pursuant to the federal Foreign Agents Registration Act of 1938, as amended, 22 U.S.C. §611 et seq
+ Yes - I HAVE filed a registration statement pursuant to the federal Foreign Agents Registration Act of 1938, as amended, 22 U.S.C. §611 et seq
03
Have you graduated from an accredited four-year college or university with a degree in business analytics, economics, data science, statistics, mathematics, management information systems, or industrial management, AND have experience equal to five years of full-time work in business/data/statistical analytics, economic research, or data science?
+ Yes
+ No
04
Do you meet A, B and C: a. Five years of full-time work experience in business/data/statistical analytics, economic research, or data science; and b. A total of four years of education and/or full-time experience in business/data/statistical analytics, economic research, or data science, where thirty semester hours of accredited college or university coursework in any field equals one year of full-time experience. c. Possession of a professional certificate in data science, business analytics, or data analytics.
+ Yes - I meet A, B and C
+ I do not A, B and C
05
Do you meet A, B and C: a. Three years of full-time work experience in business/data/statistical analytics, economic research, or data science; and b. A total of four years of education and/or full-time experience (as described in part a), where thirty semester hours of accredited college or university coursework in any field equals one year of full-time experience; and c. A total of two years of graduate-level education and/or full-time experience (as described in part a), where twenty-four semester hours of accredited graduate college or university coursework in business analytics, economics, data science, statistics, mathematics, management information systems, or industrial management equals one year of full-time experience.
+ I meet A, B and C
+ I do not meet A, B and C
06
Are you a current permanent State of Iowa employee? IF YES - do you have continuous experience in the state executive branch that includes eighteen months of full-time work as a Data Scientist 1?
+ I am a current permanent State of Iowa employee? IF YES - do you have continuous experience in the state executive branch that includes eighteen months of full-time work as a Data Scientist 1
+ I am NOT a current permanent State of Iowa employee? IF YES - do you have continuous experience in the state executive branch that includes eighteen months of full-time work as a Data Scientist 1
07
Selective 968 (Statistics)
Does your application demonstrate that you have 20 semester hours in post-high school coursework in statistics?
+ Yes
+ No
08
If you answered "Yes" to the question above - please list exactly HOW you meet it: list exact classes and credit hours, employer, dates and hours per week and exact duties. Please do not paste or state - See application or resume. If you answered no to the question above please type in "No" in the box below.
09
Selective 977 (R-Programming Language)
Does your application demonstrate that you have 12 months' experience, 12 semester hours, or a combination of both that demonstrates knowledge and understanding of the R programming language, including but not limited to statistical sciences and analysis, data management and machine learning.
+ Yes
+ No
10
If you answered "Yes" to the question above - please list exactly HOW you meet it: list exact classes and credit hours, employer, dates and hours per week and exact duties. Please do not paste or state - See application or resume. If you answered no to the question above please type in "No" in the box below.
11
Selective 976 (Python)
Does your application demonstrate that you have 12 months' experience, 12 semester hours, or a combination of both that demonstrates knowledge and understanding of the Python programming language, including but not limited to syntax, libraries, relational object mappers, multi process architectures and design.
+ Yes
+ No
12
If you answered "Yes" to the question above - please list exactly HOW you meet it: list exact classes and credit hours, employer, dates and hours per week and exact duties. Please do not paste or state - See application or resume. If you answered no to the question above please type in "No" in the box below.
Required Question
Employer
State of Iowa
Website
hhs.iowa.gov
Apply
Please verify your email address Verify Email
AI & GenAI Data Scientist-Director
Data Scientist Job In Des Moines, IA
**Specialty/Competency:** Data, Analytics & AI **Industry/Sector:** EUR X-Sector **Time Type:** Full time **Travel Requirements:** Up to 80% At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
+ Lead in line with our values and brand.
+ Develop new ideas, solutions, and structures; drive thought leadership.
+ Solve problems by exploring multiple angles and using creativity, encouraging others to do the same.
+ Balance long-term, short-term, detail-oriented, and big picture thinking.
+ Make strategic choices and drive change by addressing system-level enablers.
+ Promote technological advances, creating an environment where people and technology thrive together.
+ Identify gaps in the market and convert opportunities to success for the Firm.
+ Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Data and Analytics team, you manage the development of AI and GenAI solutions, including analytical modeling, prompt engineering, and iterative development with clients. As a Director, you set the strategic direction and lead business development efforts, making impactful decisions and overseeing multiple projects while maintaining executive-level client relations. You also mentor the next generation of leaders, fostering an environment where people and technology thrive together, and actively collaborate across the PwC Network to enhance client satisfaction.
Responsibilities
- Direct the strategic vision for AI and GenAI solution development
- Lead efforts in business growth and client engagement
- Oversee multiple projects to meet client needs
- Cultivate and mentor emerging leaders within the team
- Foster a collaborative environment for technology and people
- Collaborate across the PwC Network to enhance client satisfaction
- Make impactful decisions that drive project success
- Maintain executive-level relationships with clients
What You Must Have
- Bachelor's Degree
- 10 years of experience
What Sets You Apart
- Master's Degree preferred
- Managing development teams in AI and GenAI solutions
- Designing AI/GenAI architectures for plugin-based solutions
- Leading global data and analytics teams
- Facilitating executive level presentations on GenAI solutions
- Managing GenAI application development teams
- Using Python and common LLM development frameworks
- Exhibiting experience with Azure, AWS, and Google Cloud platforms
- Possessing experience with Git Version Control and CI/CD
Learn more about how we work: **************************
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: ***********************************
All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.
For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: ***************************************
The salary range for this position is: $148,000 - $317,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: ***********************************
\#LI-Hybrid
Data Scientist
Data Scientist Job In Des Moines, IA
Remote - US Cleo is a cloud integration technology company focused on business outcomes. Every day, we ensure that each one of our 4,000+ customers' potential is realized by delivering solutions that make it easy to discover and create value through the connections and integration of enterprise applications supporting critical workflows. By providing the industry's most complete and flexible integration offerings, we are helping our clients build trusted relationships across their partner ecosystems today, while providing all the control and visibility they need to advance their business tomorrow. In a nutshell, Cleo is a rapidly growing category leader in ecosystem integration software and we have experienced tremendous growth over recent years.
As a Data Scientist, you will play a critical role in analyzing and interpreting complex supply chain data, identifying trends, and developing predictive models to inform strategic business decisions. Your expertise will help our customers optimize their supply chains, improve efficiency, and drive business growth.
**What You Will Be Doing**
+ Collect, process, and analyze large datasets relating to supply chain operations from Cleo Integration Cloud.
+ Develop and apply advanced statistical models, machine learning algorithms, and data visualization techniques to identify trends, patterns, and correlations.
+ Collaborate with cross-functional teams to integrate data insights into business decisions, driving supply chain optimization and improvement.
+ Design and implement data-driven solutions to address supply chain challenges, provide insights, and detect anomalies in supply chain execution
+ Stay up-to-date with industry trends, emerging technologies, and innovative data science methodologies.
+ Communicate complex data insights effectively to both technical and non-technical stakeholders.
**Your Qualifications**
+ Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field
+ Proven experience (3+ years) in data science
+ Strong programming skills in languages such as Python, R, or SQL
+ Experience utilizing visualization tools to take advantage of the growing volume of available information
+ Experience working with large datasets and integration platforms
**A few things we have to offer:**
+ Competitive compensation
+ Great Healthcare + Dental + Vision
+ Flexible PTO
+ Culture of support, encouraging Life-Work balance
+ 401k match
+ FSA and HSA options
+ Employee Assistance Program
+ Paid Parental Leave
+ Representing a company with 4,000+ clients and a 99% retention rate
+ Accelerated title and salary growth potential
+ A fun and energetic work environment that makes you excited to go to work every day
_Cleo Communications, LLC is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status or any other characteristic protected by law._
Lead Data Scientist - Oracle Health Applications & Infrastructure
Data Scientist Job In Des Moines, IA
At Oracle Health Applications & Infrastructure, our mission is to improve healthcare and quality of life globally through better experience and easier access to health data for patients and healthcare providers. We are looking for hands-on data science engineers with expertise and passion in solving difficult problems in healthcare such as contact and information management, automation of payer payee workflows, case management, autonomous coding and billing, semantic search, and ranking to name a few. We intend to revolutionize the healthcare industry by leveraging AI/ML and Generative AI and redefine customer experience.
This is a greenfield opportunity to design and build new AI native cloud applications from the ground up. We are growing fast, still at an early stage, and working on new initiatives. An engineer at any level can have significant technical and business impact here. You will be part of a team of hard-working, motivated, a diverse set of people, and given the autonomy as well as support to do your best work. It is a dynamic and flexible workplace where you will belong and be encouraged.
We operate with a startup mindset providing the best of two worlds -- the autonomy to iterate on new ideas, working on cutting-edge technology, while sitting within a stable, larger organization at Oracle. We're working on big goals, and we need talented folks with equally big ambitions. Join us!
**About the Job**
We're seeking a highly skilled Lead Data Scientist to modernize OHAI's Revenue Cycle product portfolio with AI native applications. As a Lead Data Scientist specializing in AI/ML, you will play a pivotal role in architecting, developing, and deploying state-of-the-art models to power our Revenue Cycle product suite. You will collaborate closely with cross-functional teams including product managers, software engineers, and data scientists to unlock machine learning capabilities in all our products. Our new platform will be built directly on Oracle Cloud Infrastructure (OCI) based on cloud native principles. We build to scale globally, leveraging state-of-the-art tooling, with zero downtime.
**Responsibilities**
**What You'll Make Happen**
+ Design and develop strategy for
+ medical language learning through language models
+ medical code and group code (per various specifications) using large language model
+ contract interpretation
+ transforming rules and workflows into decision tree using deep learning ML models
+ risk detection/anomaly detection using deep learning ML model
+ Work with Engineering team to lay out training data acquisition strategy
+ Lay out the process for ML use case evaluation and planning
+ Design, develop, and optimize RAG (Retrieval-Augmented Generation) models to facilitate effective information retrieval
+ Utilize vector databases and advanced indexing techniques to efficiently store and retrieve relevant information for conversational contexts
+ Fine-tune and optimize large language models such as Cohere for specific use cases in the healthcare.
+ Implement and experiment with cutting-edge NLP, NLU, and NLG techniques to solve various use cases.
+ Collaborate with engineers to integrate machine learning models into production systems, ensuring scalability, reliability, and performance
**About You (Qualifications** )
+ Master's degree or PhD in Computer Science, Engineering, Mathematics, or related experience.
+ 10+ years of experience in data science
+ Focus on building and deploying language AI
+ Strong programming skills in Python and proficiency with machine learning libraries such as TensorFlow, PyTorch, or R.
+ Experience with cloud platforms (e.g., AWS, OCI) and containerization technologies (e.g., Docker, Kubernetes).
+ Solid understanding of NLP fundamentals and experience with NLU/NLG techniques such as sentiment analysis, entity recognition, and text generation.
+ Preference for expertise in developing RAG models, working with vector databases, and fine-tuning large language models.
+ Excellent problem-solving abilities and a pragmatic approach to building scalable and robust machine learning systems.
+ Strong communication skills with the ability to collaborate effectively with cross-functional teams and articulate complex technical concepts to non-technical stakeholders
+ You are comfortable with ambiguity. You have a strong sense of ownership, can define your own workplan, set goals for others, and can drive projects to completion.
+ You are excited to learn new technologies and stay on the cutting edge of what's possible
+ You've taken a product or platform from 0 to 1, you know what it takes to launch something
Career Level - IC5
**Responsibilities**
Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
Disclaimer:
**Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.**
**Range and benefit information provided in this posting are specific to the stated locations only**
US: Hiring Range in USD from: $120,100 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's problems. True innovation starts with diverse perspectives and various abilities and backgrounds.
When everyone's voice is heard, we're inspired to go beyond what's been done before. It's why we're committed to expanding our inclusive workforce that promotes diverse insights and perspectives.
We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling ***************, option one.
**Disclaimer:**
Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
*** Which includes being a United States Affirmative Action Employer**
Data Scientist -Adobe- Expert
Data Scientist Job In Des Moines, IA
The Expert Data Scientist (Adobe Practice) will work hands-on with Machine Learning and Big Data technologies within the Adobe Marketing Cloud (e.g., Adobe Journey Analytics) and third-party tools (e.g., Databricks, R) to build scalable machine learning data products and solutions. The Data Scientist's responsibilities include collaborating with internal and external stakeholders to identify insight requirements and applying creativity to test hypotheses, prepare data, build models, analyze and visualize results, and integrate the solution into innovative data products. The Data Scientist will be a champion of the latest and greatest Machine Learning and Artificial Intelligence technologies, with a specialization in Generative AI.
What you will do:
+ Apply state-of-the-art algorithms relying on knowledge of statistical modeling, machine learning, and optimization to develop new data products or improve the performance/quality of existing products.
+ Specialize in building data pipelines, developing machine learning models, and performing advanced analytics and statistical analysis.
+ Build, evaluate and optimize models which incorporate machine learning, artificial intelligence, and Generative AI.
+ Collaborate with internal and external stakeholders to understand business and insight goals, define a learning agenda, and identify relevant KPIs and diagnostics to pursue.
+ Collaborate with other data scientists and team leads to define project requirements including data sources, algorithms, and implementation.
+ Build expert knowledge of the various data sources brought together for audience segmentation solutions - survey/panel data, 3rd-party data (demographics, psychographics, lifestyle segments), media content activity (TV, Digital, Mobile), and product purchase or transaction data.
+ Work with Product and Engineering teams to transition development projects to production systems.
+ Prepare and present compelling analytical presentations and effectively communicate complex concepts to marketing and business audiences.
+ Provide mentorship and guidance to data scientists where necessary.
**Required Skills:**
+ **Expert-level experience with Adobe's analytics tools (e.g.,** **Adobe Journey Analytics** **) and third-party SaaS tools (e.g., Databricks, R).**
+ Experience with applying statistics and data science tools on large datasets.
+ Deep knowledge of supervised vs. unsupervised learning algorithms, including neural networks/deep learning, SVM, decision trees (bagging, random forests, boosting), clustering, regression, and dimensionality reduction techniques.
+ Specialization in Generative AI.
+ Expert at model training approaches, hyperparameter tuning, tuning learning rates, and model evaluation approaches.
+ Extensive experience with data preparation (normalization, scaling, etc.) for modeling.
+ Proficient in Python/R, APIs, Excel, LLMs, SQL, and Power Automate.
+ Exposure to Spark/PySpark systems in a distributed computing environment.
+ SQL mastery, including techniques for writing efficient code over large datasets.
+ Ability to leverage critical data-driven thinking and enthusiasm for translating data into actionable insight to generate consistently accurate and useful analysis and models.
+ Excel at handling both structured and unstructured data.
+ Strong analytical skills and proven track record in deploying innovative SaaS solutions in the tech industry.
+ Attention to detail and time management delivering high-quality work for multiple projects across several engagements while meeting deadlines.
+ Bachelor's Degree in a quantitative field (Data Science, Statistics, Math) or related degree programs and 5+ years of relevant work experience OR Master's Degree in a quantitative field and relevant work experience.
**Qualifications:**
+ Bachelor's Degree in a quantitative field (Data Science, Statistics, Math) or related degree programs and 5+ years of relevant work experience OR Master's Degree in a quantitative field and relevant work experience.
+ Proven experience in developing and implementing machine learning models in a business environment.
+ Demonstrated ability to handle complex data sets and perform sophisticated data analysis.
+ Strong programming skills in Python and/or R.
+ Experience with APIs and integrating them into data solutions.
+ Advanced proficiency in Excel for data analysis and reporting.
+ Familiarity with Large Language Models (LLMs) and their applications.
+ Strong SQL skills for database management and data manipulation.
+ Strong problem-solving skills and ability to think creatively and critically about data.
+ Excellent communication skills, both written and verbal, with the ability to present complex data insights to non-technical stakeholders.
+ Ability to work collaboratively in a team environment and mentor junior data scientists.
+ Self-motivated with a strong desire to learn and stay updated with the latest advancements in data science and machine learning technologies.
**Primary Location City/State:**
Homebased - Conway, Arkansas
**Additional Locations (if applicable):**
Acxiom is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status.
Attention California Applicants: Please see our CCPA/CPRA Privacy Act notice here (https:////****************************************************************************************** .
Attention Colorado, California, Connecticut, Maryland, Nevada, New York City, Ohio, Rhode Island, and Washington Applicants: This position is not located in the aforementioned locations but applications for remote work may be considered. For information about this role under state or local equal pay or pay transparency laws, please contact ****************** .
We are leaders in helping brands achieve the number one mantra for every business - know your customer. For fifty years, we've helped marketers deal with a fast-changing future of growing channels, data and technology. By understanding the customer, marketers can communicate with relevance everywhere and drive better customer experiences that build a better brand and, in turn, better business.
We're one of the marketing industry's most experienced, respected and forward-thinking leaders. For nearly fifty years, we've helped the world's best marketers understand their customers so that they can reach people with relevance rather than randomness. Our products and solutions form the data foundation that make it possible for marketers to drive better customer experiences and meaningful interactions at scale across every channel.
Our job opportunities will give you the opportunity to showcase your talents, grow your skills, and expose you to cutting-edge technologies, whether you're an engineer, developer, products guru, systems and security expert, sales and consulting executive, or an intern looking to gain real experience with a company that will make you stand out.
At Acxiom, our values begin with our associates, who are the single most important driver of our success. We're looking to hire people who share our core values: collaboration, excellence, innovation, a focus on outcomes, and being empowered to make and own decisions that benefit our clients and our company. Our values represent our brand promise - to our clients and to our associates - and define our company culture.
If you are interested in applying for employment with Acxiom and need special assistance or an accommodation to apply for a posted position, contact our recruiting department at **************.
**We highly recommend you create an account to monitor your resume submissions. Click on the Sign In link above to create an account or sign up at the end of your application.**
Interested in Acxiom? Learn about our Equal Opportunities, job postings, and more:
About Us (*********************************
Follow Us on Twitter
Find Us on Facebook (*****************************************
Careers Page
LinkedIn (***************************************
Internal applicants need to apply for open positions through their Workday account. Please log into Workday and use the **Find Jobs** report to search for and apply for positions posted internally. For questions, please contact the recruiter listed on the job posting.
Attention California Applicants: Please see our CCPA/CPRA Privacy Act notice here (https://****************************************************************************************** .
Attention Colorado, California, Connecticut, Maryland, Nevada, New York City, Ohio, Rhode Island, and Washington Applicants: This position is not located in the aforementioned locations but applications for remote work may be considered. For information about this role under state or local equal pay or pay transparency laws, please contact ****************** .
Attention Mexico Applicants: Please see our Privacy Policy notice here (***************************************************************************************************************************** .
*Note: Offers for recruitment from any websites featuring the Acxiom name or its variations, other than those listed here: *************** ***************** and ************* are fraudulent. Please do not engage with these sites.
Iowa HHS Lead Data Scientist
Data Scientist Job In Des Moines, IA
Only applicants who meet the Minimum Qualification Requirements and meet all selective requirements (listed below) will be placed on the eligible list. The Iowa Department of Health and Human Services (HHS) is seeking a Lead Data Scientist (Data Scientist 2) to build and lead the agency's data science work. This position will serve in an informal leadership capacity to conceptualize, conduct, and oversee advanced analyses to answer questions of upper agency and state leadership. The Lead Data Scientist works collaboratively across all divisions within HHS and is part of the Data Sharing, Privacy, and Open Records Bureau within the Compliance Division.
The Lead Data Scientist will serve as lead worker to other data scientists. They will provide guidance and oversight to other staff within Iowa HHS that collect, use, analyze, or disseminate data, lead a data science and advanced analytics workgroup to further data science knowledge of Iowa HHS data analysts, epidemiologists, statisticians, data scientists, and others, and provide training to data staff within Iowa HHS and locate resources and make recommendations for appropriate data science trainings to advance agency priorities. The Lead Data Scientist will represent Iowa HHS at meetings and events where advanced mathematical insight may be required.
The ideal candidate should be able to work quickly, confidently, and independently with a number of agency datasets, statistical tools, and software. They will apply a combination of mathematical, statistical, machine learning, and/or cloud computing methods to lead advanced statistical analysis and visualizations. They will understand basic database concepts including data interoperability, data dictionary, and data storage to inform strategy and data modernization efforts. They will have the ability to work in a variety of data environments, using both structured and unstructured data to link data together, manipulate information, and derive statistical information for agency decision- making. They lead advanced modeling, including predictive analytics and machine learning, and create data visualizations to forecast trends and events. Analyze, interpret, and draw conclusions from complex statistical information to help drive strategic decisions and actionable insights.
The Lead Data Scientist will need knowledge and understanding of the principles, concepts, methods, and standards of data science including data platform and tools, programming languages, machine learning, and data manipulation techniques (i.e, data preparation, data pipelines, managing ETL processes). Experience with Python and R is required.
Additionally, the Lead Data Scientist will provide current data insights and analyses for evidence- based decision-making by using advanced statistical tools to improve Iowa HHS decision-making; participate in the design or review of local, regional and state, and assessments; and use data to inform program planning, policy recommendations, communication campaigns, and/or best practices.
The Lead Data Scientist must become familiar with a large number of agency data sources and systems to provide analytic assistance in any area of the agency at any time. They will replicate studies and analyses performed by other agency staff to ensure accuracy and reliability of information provided to the public and used for decision-making. They will also review publications, presentations, reports, or other documents intended for public dissemination to assure data accuracy and consistency with other agency-produced documents.
Requirements:
Following a successful onboarding period, this position will be classified as hybrid with a minimum of 2 days per week required in office at the Lucas State Office Building in Des Moines. Additional in office days may be required periodically to accommodate in-person meetings and events.
Benefits
We have a great total compensation package for our full-time employees, including:
Iowa Public Employees' Retirement System (IPERS) (Employee contributes 6.29%/State of Iowa contributes 9.44%)
Retirement Investors Club (RIC) (Employer Sponsored Retirement Plan) (State of Iowa matches up to $75/month)
Health, Dental and Vision Insurance (See below for additional information)
Vacation Leave (96 hours/year to begin, and increases with years of service)
Sick Leave (144 hours/year)
Paid Holidays (9 days/year)
Flexible Spending Accounts
Life Insurance ($20,000 paid for by the State of Iowa)
Long-Term Disability Insurance
For additional information on benefits click here.
Click here to see how we compare with other employers or offers by using our Total Compensation Calculator.
Background Checks
Applicants will be required to complete a background check to be considered for this position.
The State of Iowa is an EEO/AA Employer
HHS values those with "lived experience" and encourages adults who were fostered as youth, foster parents, and/or parents who were in the DHS system to apply. Minorities, women, persons with disabilities and veterans are encouraged to apply (Hearing and Speech Impaired - Relay Iowa ************** TDD).
Our agency uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit *********************
968 Statistics 20 semester hours in post-high school coursework in statistics.
AND
976 Python 12 months' experience, 12 semester hours, or a combination of both that demonstrates knowledge and understanding of the Python programming language, including but not limited to syntax, libraries, relational object mappers, multi process architectures and design.
AND
977 R Programming Language 12 months' experience, 12 semester hours, or a combination of both that demonstrates knowledge and understanding of the R programming language, including but not limited to statistical sciences and analysis, data management and machine learning.Applicants must meet at least one of the following minimum requirements to qualify for positions in this job classification:
1) Graduation from an accredited four-year college or university with a degree in business analytics, economics, data science, statistics, mathematics, management information systems, or industrial management, and experience equal to five years of full-time work in business/data/statistical analytics, economic research, or data science.
2) All of the following (a, b, and c):
a. Five years of full-time work experience in business/data/statistical analytics, economic research, or data science; and
b. A total of four years of education and/or full-time experience in business/data/statistical analytics, economic research, or data science, where thirty semester hours of accredited college or university coursework in any field equals one year of full-time experience.
c. Possession of a professional certificate in data science, business analytics, or data analytics.
3) All of the following (a, b, and c):
a. Three years of full-time work experience in business/data/statistical analytics, economic research, or data science; and
b. A total of four years of education and/or full-time experience (as described in part a), where thirty semester hours of accredited college or university coursework in any field equals one year of full-time experience; and
c. A total of two years of graduate-level education and/or full-time experience (as described in part a), where twenty-four semester hours of accredited graduate college or university coursework in business analytics, economics, data science, statistics, mathematics, management information systems, or industrial management equals one year of full-time experience.
4) Current, continuous experience in the state executive branch that includes eighteen months of full-time work as a Data Scientist 1.
Data Scientist
Data Scientist Job In Des Moines, IA
**Responsibilities** Professionals in data science are responsible for extracting insights and value from large and complex datasets to inform decision-making and drive innovation within organizations. They utilize their expertise in statistics, machine learning, and data analysis techniques to identify trends, patterns, and relationships in data and develop predictive models and actionable insights. Typical responsibilities include collecting and cleaning data from various sources, performing exploratory data analysis to understand data characteristics and relationships, and applying statistical and machine learning algorithms to analyze data and extract insights. Data science roles also involve developing and deploying data-driven solutions and models to solve business problems and optimize processes, and communicating findings and recommendations to stakeholders in a clear and understandable manner. Additionally, professionals may be involved in designing and implementing data pipelines and infrastructure to support data processing and analysis, and collaborating with cross-functional teams, such as software engineers, business analysts, and domain experts, to integrate data science solutions into applications and workflows. Their expertise in areas such as programming languages (e.g., Python, R), data visualization tools, and domain-specific knowledge enables organizations to harness the power of data to drive strategic decision-making, improve efficiency, and gain competitive advantage.
This position sits at the forefront of artificial intelligence and data analytics. You will be responsible for designing and developing AI and machine learning capabilities for our growing client base. You should have strong programming skills and must have professional experience in one or more of the following areas:
+ Natural Language Processing
+ Deep Learning
+ Neural Networks
You will join a team of experienced engineers, scientists and entrepreneurs bringing practical AI solutions to support innovation with our federal customers. As part of the team, you will work closely with government clients to understand current issues and challenges, conduct rigorous data analysis, design and build solutions, and foster the clear understanding of the results.
Your responsibilities will include:
+ Designing and developing machine learning models
+ Running AI and machine learning tests and experiments
+ Evaluating new techniques and making technical recommendations
+ Running numerous experiments in a fast-paced and fun environment
+ Mentoring junior data analytics and machine learning engineers to improve their technical skills
**Required Qualifications**
+ Bachelors in Computer Science, Engineering, or related and 0 years of experience.
+ Programming experience with TensorFlow, C++, PyTorch, Python and R.
+ Ability to help visualize the data for analysis and to display results.
+ Experience with Large Language Models, Vector and Graph databases.
+ Excellent interpersonal skills and ability to get along with data scientists, engineers, and customers at all levels.
+ Ability to work in a dynamic team-oriented environment, demonstrate teamwork and initiative, and function productively in a dynamic work environment.
**Desired Qualifications**
+ Experience performing analysis of data through use of mathematical equations, sortation, tools, and optimization techniques.
+ Experience in quantitative research.
**Overview**
Noblis (*********************** and our wholly owned subsidiaries, Noblis ESI , and Noblis MSD tackle the nation's toughest problems and apply advanced solutions to our clients' most critical missions. We bring the best of scientific thought, management, and engineering expertise together in an environment of independence and objectivity to deliver enduring impact on federal missions. Noblis works with a wide range of government clients in the defense, intelligence and federal civil sectors. Noblis -About Us (*****************************************
**Why work at a Noblis company?**
Our employees find greater meaning in their work and balance the other things in life that matter to them. Our people are our greatest asset. They are exceptionally skilled, knowledgeable, team-oriented, and mission-driven individuals who want to do work that matters and benefits the public. Noblis has won numerous workplace awards (************************************ . Noblis maintains a drug-free workplace.
* _Remote/hybrid status is subject to change based on Noblis and/or government requirements_
**Total Rewards**
At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category. We encourage you to learn more about our total benefits by visiting the Benefits (************************************* page on our Careers (**************************** site.
Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws. The projected compensation range for this position is based on full time status. For part time or on-call staff, compensation is proportionately adjusted based on hours worked. While monetary compensation is important, it's just one component of Noblis' total compensation package.
**Posted Salary Range**
USD $70,000.00 - USD $109,375.00 /Yr.
**Equal Employment Opportunity**
Noblis is an Equal Opportunity Employer. Employment decisions are made without regard to race (as well as because of or on the basis of traits historically associated with race, including hair texture, hair type, and protective hairstyles such as braids, locks, and twists), color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, pregnancy, childbirth, lactation and related medical conditions, genetic factors, military/veteran status, or other characteristics protected by law.
Noblis is committed to the full inclusion of all qualified individuals. As part of this commitment, Noblis will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact ********************************* **.**
**Apply for this job**
Make a Referral (****************************************************************************************************************
**Connect With Us!**
Want to know about available job opportunities at Noblis? Want to receive personalized alerts with jobs that match your skills and interests? Join the Noblis Talent Connection.
**Posted Date** _5 months ago_ _(9/3/2024 8:47 AM)_
**_Requisition #_** _24053_
**_Security Clearance_** _None_
**_Employment Type_** _Full Time_
**_Portal Location : Location_** _US-Remote_
**_Telework Options_** _Remote_
**_Company_** _Noblis_
Full Stack Data Scientist
Data Scientist Job In Des Moines, IA
At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference.
We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers.
As a Full Stack Data Scientist and a key member of our AI CoE, you'll play a pivotal role in driving this transformation. You'll work closely with business stakeholders to understand their needs and translate them into actionable data-driven solutions. You will be responsible for building and maintaining robust machine learning models and GenAI solutions, designing intuitive user interfaces, and ensuring seamless integration with our existing systems.
This role is looking for a highly skilled and versatile engineer who can bridge the gap between machine learning and front-end development. The ideal candidate will have a strong understanding of both areas and be able to apply their knowledge to build innovative and user-friendly applications.
**Responsibilities**
+ Develop intuitive and user-friendly web applications using modern front-end frameworks (e.g., React, Angular, Vue.js) to showcase and interact with your ML/GenAI solutions.
+ Strong understanding of React components, state management, and lifecycle methods.
+ Ability to build complex and performant user interfaces.
+ Develop and deploy Machine Learning (ML) models: Design, train, and optimize machine learning models for a variety of applications like forecasting, classification and categorization systems, and churn prediction.
+ Develop, integrate and maintain Generative AI (GenAI) solutions: Explore and implement GenAI technologies, like large language models (LLMs), to enhance existing applications or create new GenAI-based solutions. This includes working with RAG technologies, embedding models, and crafting effective prompts for LLMs. Ensure the reliable and scalable deployment; and support and maintenance of GenAI models in production environments.
+ Construct robust APIs: Design and implement RESTful APIs to integrate your ML models or GenAI solutions with other applications and systems within the organization.
+ Build and maintain end-to-end ML pipelines: Design, develop, and maintain robust and scalable ML pipelines, encompassing data ingestion, feature engineering, model training, deployment, and monitoring.
+ Ensure scalability and performance: Design and implement solutions to ensure that your ML and GenAI applications are scalable, efficient, and performant, even with large volumes of data and usage.
+ Create compelling data visualizations: Develop interactive and insightful visualizations to communicate the results of your data analysis and ML/GenAI models to stakeholders
+ Collaborate with cross-functional teams: Work closely with principal and senior data scientists, data engineers, business analysts, and product and project managers to ensure successful delivery of projects.
+ Stay current on the latest trends in AI: Actively seek out and experiment on new ML and GenAI technologies and approaches to enhance your skillset, and the performance and efficiency of your ML/GenAI models. This includes active participation in internal events like AI CodeJam.
**Qualifications**
+ Bachelor's degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred.
+ At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role preferred
+ Experience including HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.js, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL.
+ Experience with popular React libraries and tools (e.g., Redux, React Router, Styled Components).
+ Experience in DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD piplelines using Concourse
+ Knowledge of clinical domain and datasets.
+ Knowledge of REST, Apigee, Microservices preferred
+ Experience in Generative AI, RAG implementation, re-ranking, Large Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, Vector databases, Embedding models, Prompting techniques.
+ Experience with Machine Learning and related technologies such as Jupiter Notebooks, RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluation
+ Understanding of cloud data engineering and integration concepts including GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storage.
+ Strong mathematical and statistical skills.
+ 2+ years in the Healthcare industry and knowledge of clinical data preferred.
+ Delivery experience with Google Cloud Platform preferred.
+ Agile development skills and experience preferred.
+ Experience designing and developing machine learning and deep learning solutions and systems.
+ Experience using statistical analysis to determine data modeling approach, training machine learning tests and experiments.
+ Experience possessing deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged within the Commercial Technologies and/or Business landscape.
+ Experience mining and analyzing large structured and unstructured datasets.
+ Experience identifying the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions.
+ Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production
+ Experience in model training, model evaluation, model optimization, ML system architecture design, and scalable ML model deployment
+ Experience building large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam
+ Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks.
+ Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP)
+ Experience interacting with REST APIs and microservices
+ Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment.
**What is expected of you and others at this level**
+ Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects
+ Recommends new practices, processes, metrics, or models
+ Works on complex projects of large scope projects may have significant and long-term impact
+ Provides solutions which may set precedent
+ Collaborate with stakeholders for completion of new projects
**Anticipated salary range:** $93,500 - $133,600
**Bonus eligible:** No
**Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
+ Medical, dental and vision coverage
+ Paid time off plan
+ Health savings account (HSA)
+ 401k savings plan
+ Access to wages before pay day with my FlexPay
+ Flexible spending accounts (FSAs)
+ Short- and long-term disability coverage
+ Work-Life resources
+ Paid parental leave
+ Healthy lifestyle programs
**Application window anticipated to close:** 1/26/2025 *if interested in opportunity, please submit application as soon as possible.
The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity.
\#LI-Remote
\#LI-AP4
_Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._
_Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._
_To read and review this privacy notice click_ here (***************************************************************************************************************************
Intelligent Automation - Applied Data Scientist
Data Scientist Job 9 miles from Des Moines
**About this role:** Shared Services Operations - Operational Excellence team is seeking an Applied Data Scientist with a strong data science background to deliver traditional AI and Generative AI solutions for driving operational efficiencies, improve internal and external customer experiences with the use of AI. The candidate needs to possess a mix of technical expertise, creative problem-solving skills, and the ability to align AI solutions with business needs.
**In this role, you will:**
+ Lead complex initiatives including creation, implementation, documentation, validation, articulation, and defense of highly advanced AI and Generative AI solutions.
+ Deliver solutions for short and long-term objectives and provide analytical support for a wide array of business initiatives.
+ Utilize neural network architectures, including transformer-based models such as GPT, BERT, and others for driving operational efficiencies.
+ Familiarity with using diffusion models or multimodal AI depending on the use cases.
+ Hands-on experience with fine-tuning, training, and deploying large language models (LLMs) in on-premises, cloud or hybrid environments.
+ Strong hold on tokenization, embeddings, and model evaluation metrics.
+ Present results of analysis, solution recommendations and AI-driven strategies for variety of business initiatives.
**Required Qualifications:**
+ 4+ years of Business Execution, Implementation, or Strategic Planning experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
**Desired Qualifications:**
+ Data Science experience
+ Bachelor's/master's degree in a discipline such as Data Science, Computer Science, statistics, or mathematics
+ Expertise in Python and key/major frameworks like TensorFlow, PyTorch, and HuggingFace.
+ Experience in using ML Ops tools (e.g., MLflow, Kubeflow) for scaling and deploying models in production.
+ Experience working with on Google Cloud Platform and expertise in using the GCP services.
+ Expertise in Scala for processing large-scale data sets for use cases.
+ Proficiency in Java, JavaScript (Node.js) for back-end integrations and for building interactive AI-based web applications or APIs.
+ Experience with SQL and NoSQL languages for managing structured, unstructured, and semi-structured data for AI and Generative AI applications.
+ Critical thinking and strong problem-solving skills.
+ Ability to learn the latest technologies and keep up with the trends in the Gen-AI space and apply to the business problems quickly.
+ Ability to multi-task and prioritize between projects and able to work independently and as part of a team.
**Job Expectations:**
+ Required to work individually or as part of a team on multiple AI and Generative AI projects and work closely with business partners across the organization. Mentor and coach budding Data Scientists on developing and implementing AI solutions.
+ Perform various complex activities related to neural networks and transformer-based models.
+ Provide analytical support for developing, evaluating, implementing, monitoring, and executing models across business verticals using emerging technologies.
+ Expert knowledge on working on large datasets using SQL or NoSQL and present conclusions to key stakeholders.
+ Establish a consistent and collaborative framework with the business and act as a primary point of contact in delivering the solutions.
+ Experience in building quick prototypes to check feasibility and value to business.
+ Expert in developing and maintaining modular codebase for reusability.
+ Review and validate models and help improve the performance of the model under the preview of regulatory requirements.
+ Work closely with technology teams to deploy the models to production.
+ Prepare detailed documentations for projects for both internal and external use that comply with regulatory and internal audit requirements.
This position is not VISA eligible
**Pay Range**
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.
$84,000.00 - $149,400.00
**Benefits**
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs (*************************************************************** for an overview of the following benefit plans and programs offered to employees.
+ Health benefits
+ 401(k) Plan
+ Paid time off
+ Disability benefits
+ Life insurance, critical illness insurance, and accident insurance
+ Parental leave
+ Critical caregiving leave
+ Discounts and savings
+ Commuter benefits
+ Tuition reimbursement
+ Scholarships for dependent children
+ Adoption reimbursement
**Posting End Date:**
16 Feb 2025
***** **_Job posting may come down early due to volume of applicants._**
**We Value Diversity**
At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in US: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
**Applicants with Disabilities**
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo (****************************************************************** .
**Drug and Alcohol Policy**
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy (********************************************************************** to learn more.
**Wells Fargo Recruitment and Hiring Requirements:**
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
**Req Number:** R-403561
Azure Data Engineer
Data Scientist Job In Des Moines, IA
CapB is a global leader on IT Solutions and Managed Services. Our R&D is focused on providing cutting edge products and solutions across Digital Transformations from Cloud, AI/ML, IOT, Blockchain to MDM/PIM, Supply chain, ERP, CRM, HRMS and Integration solutions. For our growing needs we need consultants who can work with us on salaried or contract basis. We provide industry standard benefits, and an environment for LEARNING & Growth.
For one of our going on project we are looking for an AZURE DATA ENGINEER. The position is based out of Des Moines, IA. Locals preferred but can be done remotely for the time being this year.
Responsibilities:
• Create functional design specifications, Azure reference architectures, and assist with other project deliverables as needed.
• Design and Develop Platform as a Service (PaaS) Solutions using different Azure Services
• Create a data factory, orchestrate data processing activities in a data-driven workflow, monitor and manage the data factory, move, transform and analyze data
• Design complex enterprise Data solutions that utilize Azure Data Factory Create migration plans to move legacy SSIS packages into Azure Data Factory
• Build conceptual and logical data models
• Design and implement big data real-time and batch processing solutions
• Design, build, and scale data pipelines across a variety of source systems and streams (internal, third-party, as well as cloud-based), distributed / elastic environments, and downstream applications and/or self-service solutions.
• Develop and document mechanisms for deployment, monitoring and maintenance
Skills and Experience:
• Bachelor's degree or higher in Computer Science Engineering/ Information Technology, Information Systems
• 3+ years experience with Microsoft Cloud Data Platform: Azure Data Factory, Azure Databricks, Python, Scala, Spark SQL, SQL Data Warehouse
• 3+ years of experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, NoSQL, data lake solutions
• Expertise with SQL, database design/structures, ETL/ELT design patterns, and DataMart structures (star, snowflake schemas, etc.)
• Functional knowledge of programming scripting and data science languages such as JavaScript, PowerShell, Python, Bash, SQL, .NET, Java, PHP, Ruby, PERL, C++, R, etc.
• Creation of descriptive, predictive and prescriptive analytics solutions using Azure Stream Analytics, Azure Analysis Services, Data Lake Analytics, HDInsight, HDP, Spark, Databricks, MapReduce, Pig, Hive, Tez, SSAS, Watson Analytics, SPSSA
• Experience in Azure Data Factory (ADF) creating multiple pipelines and activities using Azure for full and incremental data loads into Azure Data Lake Store and Azure SQL DW
• Experience for Azure Data Lake Storage and working with Parquet files and partitions
• Experience managing Microsoft Azure environments with VM's, VNETS, Subnets, NSG's, Resource Groups, etc.
• Experience in Creation & Configuration of Azure Resources & RBAC
• Experience with Git/Azure DevOps
• Azure certification would be desired
• Must have an ability to communicate clearly and be a team player
Sr. Data Engineer (ETL Developer)
Data Scientist Job In Des Moines, IA
FGL Holdings-the F&G family of insurance companies-is committed to helping Americans prepare for and live comfortably in their retirement. Through its subsidiaries, F&G is a leading provider of annuity and life insurance products. For nearly 60 years, we have offered annuity and life insurance products to those who are seeking safety, protection and income solutions to meet their needs. At F&G, we believe our culture is what makes our company great. In 2019, we received a Top Workplace award, which we credit to our employees' shared cultural values: Collaborative, Authentic, Dynamic and Empowered. We believe that by embracing these values, we will continue to build and strengthen the company, while being a great place to work. We recruit talented and committed individuals to join our team, and we provide opportunities for personal and professional growth.The Sr. Data Engineer will support the design, development, implementation and maintenance of complex, mission-critical Informatica, SQL-based systems supporting F&G‘s insurance operations. As a senior team member, the senior data engineer will assume lead roles in the design and development, oversee the work of all junior developers, and participate in the strategic planning around future development of the F&G data environment.The Company has made a significant investment in information technology and relies heavily on data interfaces from multiple off-site source systems. Solid communication and problem-solving skills are required.
Organization
This position reports directly to the Director, Data Engineering & Administration and has significant interaction with members of the IT organization, Third Party Administrators, group managers, and departmental analysts throughout the organization. In addition, interaction with the PMO Project Managers for prioritization and reporting and Relationship Management with business will be critical and ongoing.
Duties and Responsibilities
Develop Informatica code to support existing and future EDS deployments
Performance tune existing and future Informatica code to ensure all SLAs are met
Develop and support team of on-shore and off-shore Informatica developers to deliver exceptional quality and meet all project deadlines
Perform relational database analysis, modeling, and design of complex systems
Create detailed technical design documents in accordance with business requirements
Develop complex programs/queries to support transactional processing and regulatory reporting utilizing SQL and Informatica
Develop and perform detailed unit, quality assurance and regression tests to validate the readiness of internal developed code for production
Create detailed deployment plans for use in the migration of code from staging to production environments and provide deployment guides to host provider for deployments
Work with Infrastructure and other IT teams to implement complete solution
Create clear and effective Status reports as required
Perform impact analysis for interface/system changes affecting the applications and data environment
Work closely with Data Management team members to translate business needs into technical solutions
Assist Data Management Manager in developing estimates for project and maintenance work
Monitor/ensure acceptable levels of system performance, integrity and security
Support standards for system architecture, code quality and collaborative team development
Attend routine departmental meetings to support communication around development best practices, participate in change control discussions, review code, and provide technical instruction to colleagues
Partner with external TPAs and consultants to collaborate on large scale development efforts and enforce F&G standards for integration and data exchange
Attend conferences, developer forums, and training opportunities to ensure current technology trends are understood and applied within the F&G environment
Experience and Education Requirements
Bachelor's degree (preferred emphasis in computer science or MIS) or equivalent experiences
Senior to expert level design/development, debugging ability with Informatica Power Center (including version 10.1)
Senior to expert level ability to optimize Informatica and SQL jobs through performance tuning
Minimum 5 years of experience in supporting ETL, production data operations (File processing, data distribution etc.,) including debugging, addressing production issues and performing Root Cause Analysis
Expert level experience in designing and building large applications utilizing SQL Server
Experience in windows batch scripting, scheduling jobs using job scheduling tools, e.g., JAMS and Data Marts and other Data Warehousing practices
Thorough understanding of the software development life cycle and experience in working with geographically distributed teams (offshore, offsite etc.,)
Ability to use SQL development tools such as SQL Navigator and Toad as well as maintain code in source code control systems
Knowledge of proper database normalization, indexing, transaction protection and locking is essential
Preferred Skills
Preferred to have experience in supporting DTCC and data transfers from / to external organizations and internal systems using EFT (Electronic File Transfer)
Working knowledge of Informatica Data Quality, Business Glossary, Metadata Manager
Experience with database design/modeling tools such as Erwin
Skills and Abilities
Strong technical documentation ability
Familiar with SSIS, Python and other ETL frameworks preferred
Previous experience with Tableau, operational reporting is a plus
Must have a teamwork focused attitude and be skilled at building relationships within IT organizations and across business functions
Strong technical documentation skills
Life/Annuity insurance industry experience strongly preferred
Excellent oral and written communication skills
Knowledge of data integrity protocols and security requirements and techniques
Strong time management and organizational skills to enable productivity in a fast-paced, dynamic development environment
Strong verbal communication skills and a demonstrated ability to work effectively in team-based development projects
Physical Demands and Work Environment
Must be able to work in a fast-pace team environment and handle multiple projects and assignments under tight deadlines
Must demonstrate willingness to work flexible hours as needed to accommodate business needs and deliverables
Must be able to sit at a computer for extended periods of time
#LI-JS1
#INDHP
Data Scientist, Product Analytics
Data Scientist Job In Des Moines, IA
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Scientist, Product Analytics Responsibilities:
1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
**Minimum Qualifications:**
Minimum Qualifications:
6. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
7. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.)
8. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]
**Preferred Qualifications:**
Preferred Qualifications:
9. Master's or Ph.D. Degree in a quantitative field
**Public Compensation:**
$145,000/year to $204,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.