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senior data scientist

Novisync

<div><div><div><div><div>Location: Indianapolis IN USA</div></div><div></div><div><div>
Start Date: 05/11/2026</div></div><div></div><div><div>
Pay Rate: $41.48</div></div><div></div><div><div>
The Data Scientist plays a key role by creating in-depth analyses by leveraging data science techniques, methods, and interpretations to convey accurate, meaningful insights that empower IDOH and other partners to make informed decisions in support of the health, safety, and well-being of the citizens of Indiana.Essential Duties/Responsibilities: 
 
The essential functions of this role are as follows: 
<ul><li>Provides mentoring and guidance to other, more junior Data Scientists and staff</li><li>Support the development of internal web applications or interactive tools that help operationalize and deliver data science products across the organization.</li><li>Acts as mentor and DS SME for other more junior DS users across the state and key external stakeholders</li><li>Engages with key business stakeholders on large projects and initiatives to understand their analytical and operational challenges and translate these needs into data solutions</li><li>Assesses the structure, content, and quality of the data through examination of source systems and data samples</li><li>Collaborates with other DS professionals, data engineers, and BI professionals around data/table structures to optimize architecture, ETL procedures, dashboards, and other self-service needs</li><li>Prioritizes requirements and create rapid prototypes and minimally viable products for end users</li><li>Looks for opportunities to improve current processes or find efficiencies by applying industry best practices as a DS professional</li><li>Mines and analyzes data from state databases to drive insights into problems and efficiency in processes while maintaining the standards of organizational excellence</li><li>Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation, to data mining, to more complex statistical methodologies</li><li>Uses and monitors the input for code repositories like GitHub for code version control</li><li>Provides end user education for interpretation of business data</li><li>Tests and evaluates data solutions as it relates to upgrades to existing software</li><li>Provides maintenance and support for existing data solutions for the agency</li><li>Documents and communicates technical specifications to ensure that proper techniques and standards are incorporated into deliverables and understood by the end users</li></ul>
The job profile is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice. 
Job Requirements: 
 
<ul><li>The ideal candidate in this role should minimally have either:</li><li>A Bachelor&rsquo;s Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics and 2+ years of experience and passion for leveraging data to drive significant organizational impact, or</li><li>a Master&rsquo;s Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics, or</li><li>4+ years of experience and passion for leveraging data to drive significant organizational impact.</li><li>Considerable knowledge using computer languages (R, Python, SQL, etc.) to manipulate and draw insights from large data sets as well develop software for automation</li><li>Broad knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications</li><li>Broad knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages and drawbacks</li><li>Strong understanding of relational and dimensional databases, theories, principles, and practices</li><li>Exceptional analytical, conceptual, and problem-solving abilities</li><li>Must inhabit strategic thinking</li><li>Strong written/oral communication and presentation skills</li><li>Resourceful self-starter and highly motivated team player</li><li>Able to perform well in a fast-paced environment</li><li>Experience with data manipulation to include cleansing, standardizing, and transforming.</li><li>Experience in leading workshops or training sessions with a user community a plus</li><li>Experience with the following concepts or tools is not a requirement but considered a plus (geocoding and geospatial data, shiny, network diagraming, neo4j, Docker, Kubernetes)</li><li>Experience generating and distributing visualizations to a broad range of audiences</li><li>Effective communicator and someone who enjoys getting to understand nuances of a problem</li><li>Proficiency using frameworks such as Shiny, Dash, Flask, or Streamlit to build user-facing interfaces, connect to backend data pipelines, and deploy lightweight analytic applications.</li></ul> 
Supervisory Responsibilities/Direct Reports: 
 
The Data Scientist Intermediate may have supervisory responsibilities for lower data scientists (state employees or contractors). 
 
Difficulty of Work: 
The Data Scientist is required to manage multiple, complex, completing large scale data solutions/products, provide leadership and mentorship to team members, and provide thought leadership and continuous improvement strategies for the organization. 
 
Responsibility: 
The Data Scientist works closely with higher-level staff and/or management to outline general objectives and boundaries that the Data Scientist will follow to meet the requirements. Unusual problems or deviations from guidelines or practice are discussed with the manager. Work is reviewed for attainment of objectives and compliance with policy and practice. 
 
Personal Work Relationships: 
Works with core internal team of project managers, engagement directors, data scientists, data engineers; as well as agency staff, agency leadership, and community partners on dashboard projects.</div></div></div></div></div>

Data Scientist

American Technology Consulting LLC

<div>The Data Scientist plays a key role by creating in-depth analyses by leveraging data science techniques, methods, and interpretations to convey accurate, meaningful insights that empower IDOH and other partners to make informed decisions in support of the health, safety, and well-being of the citizens of Indiana.
Essential Duties/Responsibilities: 
The essential functions of this role are as follows:<ul><li>Provides mentoring and guidance to other, more junior Data Scientists and staff</li><li>Support the development of internal web applications or interactive tools that help operationalize and deliver data science products across the organization.</li><li>Acts as mentor and DS SME for other more junior DS users across the state and key external stakeholders</li><li>Engages with key business stakeholders on large projects and initiatives to understand their analytical and operational challenges and translate these needs into data solutions</li><li>Assesses the structure, content, and quality of the data through examination of source systems and data samples</li><li>Collaborates with other DS professionals, data engineers, and BI professionals around data/table structures to optimize architecture, ETL procedures, dashboards, and other self-service needs</li><li>Prioritizes requirements and create rapid prototypes and minimally viable products for end users</li><li>Looks for opportunities to improve current processes or find efficiencies by applying industry best practices as a DS professional</li><li>Mines and analyzes data from state databases to drive insights into problems and efficiency in processes while maintaining the standards of organizational excellence</li><li>Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation, to data mining, to more complex statistical methodologies</li><li>Uses and monitors the input for code repositories like GitHub for code version control</li><li>Provides end user education for interpretation of business data</li><li>Tests and evaluates data solutions as it relates to upgrades to existing software</li><li>Provides maintenance and support for existing data solutions for the agency</li><li>Documents and communicates technical specifications to ensure that proper techniques and standards are incorporated into deliverables and understood by the end users</li></ul>
The job profile is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice.
Job Requirements:<ul><li> 
The ideal candidate in this role should minimally have either:</li><li>A Bachelor&rsquo;s Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics and 2+ years of experience and passion for leveraging data to drive significant organizational impact, or</li><li>a Master&rsquo;s Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics, or</li><li>4+ years of experience and passion for leveraging data to drive significant organizational impact.</li><li>Considerable knowledge using computer languages (R, Python, SQL, etc.) to manipulate and draw insights from large data sets as well develop software for automation</li><li>Broad knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications</li><li>Broad knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages and drawbacks</li><li>Strong understanding of relational and dimensional databases, theories, principles, and practices</li><li>Exceptional analytical, conceptual, and problem-solving abilities</li><li>Must inhabit strategic thinking</li><li>Strong written/oral communication and presentation skills</li><li>Resourceful self-starter and highly motivated team player</li><li>Able to perform well in a fast-paced environment</li><li>Experience with data manipulation to include cleansing, standardizing, and transforming.</li><li>Experience in leading workshops or training sessions with a user community a plus</li><li>Experience with the following concepts or tools is not a requirement but considered a plus (geocoding and geospatial data, shiny, network diagraming, neo4j, Docker, Kubernetes)</li><li>Experience generating and distributing visualizations to a broad range of audiences</li><li>Effective communicator and someone who enjoys getting to understand nuances of a problem</li><li>Proficiency using frameworks such as Shiny, Dash, Flask, or Streamlit to build user-facing interfaces, connect to backend data pipelines, and deploy lightweight analytic applications.</li></ul> 
Supervisory Responsibilities/Direct Reports: 
The Data Scientist Intermediate may have supervisory responsibilities for lower data scientists (state employees or contractors). 
Difficulty of Work:
The Data Scientist is required to manage multiple, complex, completing large scale data solutions/products, provide leadership and mentorship to team members, and provide thought leadership and continuous improvement strategies for the organization. 
Responsibility:
The Data Scientist works closely with higher-level staff and/or management to outline general objectives and boundaries that the Data Scientist will follow to meet the requirements. Unusual problems or deviations from guidelines or practice are discussed with the manager. Work is reviewed for attainment of objectives and compliance with policy and practice. 
Personal Work Relationships:
Works with core internal team of project managers, engagement directors, data scientists, data engineers; as well as agency staff, agency leadership, and community partners on dashboard projects.</div>

Authenticx

<div>Position Summary

Our ideal candidate will spend most of the time developing machine learning models using natural language process that will be integrated into our automated processes. This role is ideal for an engineer eager to grow and contribute to scalable, reliable services in a mission-driven environment. You will work alongside experienced engineers who deliver production grade models into our SaaS platform in a highly regulated environment. Your responsibility will be to build and train models, deploy model pipelines, and implement a variety of algorithms to extract insights from unstructured data. If needed, you will also troubleshoot and provide technical solutions to resolve issues. Ideally, we would love someone with experience in a startup or small company, but if not, willingness to wear a lot of hats and a self-starter is great too.

As a Data Scientist at Authenticx, your responsibilities will include:
<ul>
<li>Utilizing Python, SQL, and NLP/machine learning technologies to perform conversational analytics.</li>
<li>Analyzing structured and unstructured data and building predictive models using a variety of approaches.</li>
<li>Searching through large data sets and transforming data for analysis</li>
<li>Creating reports and presentations to translate complex analytical results and modeling efforts into business impacts and insights for executive leaders.</li>
<li>Document and maintain codebase standards, contributing to ongoing quality and reliability improvements.</li>
</ul>
Key Metrics
<ul>
<li>Delivery of assigned feature work on time and within quality standards.</li>
<li>Consistent adherence to code review and documentation standards.</li>
<li>Resolution of assigned defects and production issues within established SLAs.</li>
<li>Contribution to overall system reliability, uptime, and performance goals.</li>
<li>Demonstrated growth in technical proficiency and cross-team collaboration.</li>
</ul>
Qualifications

The ideal Data Scientists possesses the following skills &amp; qualifications:

Basic Qualifications:
<ul>
<li>S. or further education in Mathematics, Economics, Computer Science, Statistics, or another quantitative field</li>
<li>2+ years of experience as a Data Scientist, Machine Learning Engineer, or relevant software engineering in AI.</li>
<li>Strong knowledge of Natural Language Processing (NLP) or Audio Signal Processing</li>
<li>Proficiency with Python (Pandas, NumPy, Matplotlib, Scikit-Learn, Spacy, SciPy, etc...)</li>
<li>Experience with a deep learning framework (TensorFlow, Pytorch, etc..) and deep learning architectures (RNNs, CNNs, Transformers, etc...)</li>
<li>Experience with fine-tuning transformers and relevant libraries (Transformers, Unsloth, vLLM, TRL)</li>
<li>Deep understanding of statistical analysis, hypothesis testing, modern modeling techniques and mathematics skills (e.g., Linear Algebra, Calculus)
</li><li>Experience with SQL, databases, and other data management tools</li>
<li>Ability to work independently and with team members from different backgrounds</li>
<li>Effective communication and technical writing skills to translate complex analytical results and modeling efforts into business impacts and insights for executive leaders.</li>
<li>Internal Motivation and Intellectual Curiosity to uncover the answers to unknowns</li>
</ul>
Preferred Qualifications:
<ul>
<li>Software-as-a-service (SaaS) and/or healthcare industry experience</li>
<li>Familiarity with Cloud Technologies, Docker, and Kubernetes.</li>
<li>Experience with tools for experiment tracking and model management.</li>
<li>Experience with the full life cycle of model development. From data acquisition to training and deploying the model in a production environment.
</li><li>Experience with Agentic models and workflows is a plus.</li>
</ul>
Work Environment
<ul>
<li>This is a remote/virtual position.</li>
<li>You must live in the United States of America.</li>
<li>You must be authorized to work in the USA, now and in the future, WITHOUT requirement of sponsorship/visa.</li>
<li>Occasional travel to Indianapolis may be required (approximately 2&ndash;4 times per year) based on business needs.</li></ul></div>

Delta Faucet Company

<div>At Delta Faucet, we are committed to transforming everyday experiences with water through innovative products and exceptional service. As a leader in the plumbing industry, we take pride in our dedication to quality, sustainability, and customer satisfaction. We believe that diverse perspectives strengthen our mission to create solutions that inspire and elevate the lives of all our customers. We welcome individuals from all backgrounds to join us on this journey toward inclusivity and excellence.
Your Role at Delta Faucet
Are you passionate about using data science, artificial intelligence, and advanced analytics to propel decisions? If you are interested in driving meaningful change for a growth focused consumer products brand, this is an opportunity to join the market-leading Delta Faucet Company team as we use analytics to turbocharge strategic insights!
Reporting to the Manager of Data Science and Analytics, this role will work with analytics and domain specialists across the business to deliver high-impact insights and data science solutions. You will develop advanced analytical models, experimentation tests, applied AI techniques, and partner with business stakeholders to translate complex data into clear, actionable recommendations that support the company&rsquo;s growth initiatives. 
Responsibilities
As an Applied Data Scientist within Delta Faucet Company&rsquo;s Analytics Center of Excellence (ACoE), you will act as an owner of high impact analysis and data science initiatives that support complex, ambiguous business decisions. This role focuses on advanced analytics, experimentation, and applied AI.<ul><li>
Independently lead end-to-end analytics and data science projects, from problem framing through delivery of actionable insights.</li><li>
Apply statistical methods, machine learning, and analytical modeling to solve business problems related to growth, customer behavior, market dynamics, and operational efficiency.</li><li>
Develop and maintain analytical data models and curated datasets, partnering with data engineering and BI teams.</li><li>
Build AI and machine learning solutions that are aligned with business needs.</li><li>
Collaborate closely with business stakeholders to translate analytical findings into clear recommendations.</li><li>
Present data-driven recommendations to leaders across the organization, including tactical and C-suite.</li></ul> 
Qualifications<ul><li>
4+ years of experience in data science, advanced analytics, or applied machine learning roles.</li><li>
4+ years of hands-on experience applying statistical methods and analytical modeling to real business problems.</li><li>
4+ years of experience using Python for data analysis, modeling, and experimentation.</li><li>
4+ years of experience writing and refining complex SQL queries against large, structured datasets.</li><li>
3+ years of experience partnering directly with business stakeholders to translate analytical findings into actionable recommendations.</li><li>
2+ years of experience working in a modern analytics platform (e.g., Databricks, Spark/PySpark, or similar).</li><li>
1+ years of hands-on‑ experience applying generative AI technologies (e.g., LLM APIs, task‑specific GenAI workflows) in an enterprise analytics environment.</li><li>
Bachelor&rsquo;s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative field.</li></ul>
Preferred Qualifications<ul><li>
2+ years of experience with analytics engineering and data modeling, including building reusable, well-documented analytical datasets; familiarity with medallion architecture (bronze/silver/gold) preferred.</li><li>
1+ years of experience with model monitoring, experiment tracking, and model evaluation in production settings.</li><li>
1+ years of experience with conjoint analysis or other stated-preference research methods.</li></ul> 
Why Join Us?
At Delta Faucet Company, our people are our greatest assets. We value different perspectives and fostering an inclusive environment. You&rsquo;ll have the opportunity to shape the future of our brand, working alongside passionate professionals committed to excellence and innovation. Join us to lead progressive growth and make a significant impact within a leading organization.
Here are some of the benefits we offer for your personal and professional growth:<ul><li>
Culture: Recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.</li><li>
Wellbeing: Comprehensive benefit plans; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.</li><li>
Learning &amp; Development: LinkedIn Learning access; internal opportunities to work on projects cross-company.</li><li>
Social Impact: Four employee-led and self-directed Business Resource Groups; Paid volunteer day annually; Employees share their time, skills and talent with charities and nonprofit organizations across the U.S. and around the globe.</li></ul><h2 class="jobSectionHeader">
Company: Delta Faucet Company</h2>
Full time
Hiring Range: $88,700.00 - $139,260.00 USD
Actual compensation may vary based on various factors including experience, education, geographic location, and/or skills.
Delta Faucet Company (the &ldquo;Company&rdquo;) is an equal opportunity employer and we strive to employ the most qualified individuals for every position. The Company makes employment decisions only based on merit. It is the Company&rsquo;s policy to prohibit discrimination in any employment opportunity (including but not limited to recruitment, employment, promotion, salary increases, benefits, termination and all other terms and conditions of employment) based on race, color, sex, sexual orientation, gender, gender identity, gender expression, genetic information, pregnancy, religious creed, national origin, ancestry, age, physical/mental disability, medical condition, marital/domestic partner status, military and veteran status, height, weight or any other such characteristic protected by federal, state or local law. The Company is committed to complying with all applicable laws providing equal employment opportunities. This commitment applies to all people involved in the operations of the Company regardless of where the employee is located and prohibits unlawful discrimination by any employee of the Company.
Delta Faucet Company is an E-Verify employer. E-Verify is an Internet based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of their newly hired employees in the United States. Please click on the following links for more information.
E-Verify Participation Poster: English &amp; Spanish 
E-verify Right to Work Poster: English, Spanish
#LI-Remote</div>

Applied Data Scientist

Moser Consulting

<div><h1 class="jobSectionHeader">About Moser</h1>
For more than 25 years we have formed partnerships and grown through open and honest collaboration with our clients, partners, and employees. We are best known for taking great care of our clients, our dedication to creating a work environment where employees do their best work, and our deep commitment to continuous improvement. Our consultants work in a collaborative and fast-paced environment, are self-motivated, and are passionate about evolving technology. It is no accident that we are recognized as one of the Best Places to Work in Indiana for 10 consecutive years.
Internally, we believe in building strong teams from the top down with a focus on values in our Model-Coach-Care philosophy. Our leadership are encouraged and trained to model good practices, mentor other employees and each other, and show empathy and caring in all interactions. This is the base of our core values: Accountability, Balance, Collaboration, Focus, Integrity, Social Responsibility, Support and Transparency.
Moser Consulting believes in equal opportunity for all people and is committed to enabling a diverse, equitable, and inclusive culture. We foster a spirit of unity that respects the remarkable individuality of everyone's culture, history, and service. 
<h1 class="jobSectionHeader">Responsibilities</h1>
<ul><li>Architect and implement end-to-end cloud solutions including data lakes, data warehouses, and real-time analytics platforms.</li>
<li>Design, build, and troubleshoot data acquisition pipelines from diverse sources including databases, flat-files, and REST APIs.</li>
<li>Apply medallion architecture (bronze/silver/gold) to deliver scalable and secure solutions.</li>
<li>Leverage development design patterns and best practices across workloads.</li>
<li>Design star schema dimensional models and implement semantic models optimized for Power BI analytics.</li>
<li>Configure incremental refresh and partitioning strategies to optimize compute unit (CU) consumption and query performance.</li>
<li>Apply and promote best practices for data engineering including governance, scalability, and deployment standards.</li>
<li>Implement and manage RBAC (Role-Based Access Control) with a zero-trust security approach, ensuring appropriate access to data and services across cross-workspace environments.</li>
<li>Troubleshoot and proactively identify issues including researching performance issues, pipeline failures, notebook timeouts, data model inconsistencies, semantic model refresh errors, and capacity throttling using monitoring tools and query optimization techniques.</li>
<li>Create and maintain technical documentation, operational documentation, data flow diagrams, and data mapping documents.</li>
<li>Provides technical leadership and mentorship to team members.
</li><li>Excellent communication skills for technical and non-technical audiences.</li>
<li>Ability to work independently as well as in a team-environment.</li>
<li>Excel in a fast-paced environment and can manage multiple client engagements simultaneously.</li></ul>
<h1 class="jobSectionHeader">Requirements</h1>
<ul><li>5+ years of experience working with databases, data engineering, and/or software development roles.</li>
<li>3+ years of experience using python and/or SQL for data engineering.</li>
<li>Ability to design, develop, and maintain scalable, reusable code, using an agile framework and source control management.</li>
<li>Strong problem-solving skills including researching errors, performance issues, query optimization, and general troubleshooting.</li>
<li>A proven track record of working collaboratively on complex ELT/ETL projects that span multiple months.</li>
<li>Ability to create functioning prototypes to address quickly changing business needs.</li>
<li>Clearly articulate pros and cons of proposed technologies/solutions.</li></ul>
<h1 class="jobSectionHeader">Where You'll Work</h1>
Moser has two offices in Indianapolis, IN, and one in Baltimore, MD. This position will allow hybrid/onsite work schedule or the ability to work out of one of our two Indianapolis offices.
<h1 class="jobSectionHeader">Salary</h1>
At Moser Consulting, we believe in pay transparency and fairness. The $115k-$149k salary range for this role is not just a number&mdash;it's a reflection of the value we place on the skills and experience our employees bring to our team. We are committed to offering a competitive salary that aligns with the industry standards and the unique competencies you bring to our community.
<h1 class="jobSectionHeader">Benefits</h1>
For over a quarter of a century, Moser Consulting has been a beacon for top-tier IT talent who excel in self-management. Our people are our greatest asset. We don't just hire the best&mdash;we welcome them into our family, connect them with opportunities, and empower them to create innovative solutions to technology challenges.
Our unique culture is our competitive edge. It fosters happiness, health, and low stress, even in an industry known for its demands. This is why we're consistently recognized as one of the Best Places to Work in Indiana. We provide our employees with an inspiring workspace, a fun and collaborative atmosphere, and a generous compensation package. But that's not all.
We also offer a suite of benefits designed to support and enrich our employees' lives. These include:
<ul><li>Training Opportunities: We believe in lifelong learning and provide numerous avenues for skill enhancement.</li>
</ul><ul><li>Fully Invested 401K Plan: We help secure your future with a fully invested 401K plan.</li>
</ul><ul><li>PPO and HDHP Medical Plans: Choose the health insurance program that best fits your needs.</li>
</ul><ul><li>Employer-Paid Dental and Vision Plans: We cover dental and vision plans, ensuring our employees have access to comprehensive health care.</li>
</ul><ul><li>Onsite Fitness Center: Stay fit and healthy with our state-of-the-art fitness center.</li>
</ul><ul><li>Wellness Program: We promote a healthy lifestyle with our wellness program.</li>
</ul><ul><li>Catered Lunches: Enjoy delicious catered lunches regularly.</li>
</ul>At Moser Consulting, we don't just offer jobs&mdash;we offer careers, growth, and a chance to join a thriving community. Come, be a part of our family.
Moser Consulting is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.</div>

Senior Cloud Data Engineer

American business solutions inc

<div><h5 class="jobSectionHeader">Engagement Type</h5>
Contract<h5 class="jobSectionHeader"> 
</h5> 
Essential Duties/Responsibilities: 
 
The essential functions of this role are as follows: 
<ul><li>Provides mentoring and guidance to other, more junior Data Scientists and staff</li><li>Support the development of internal web applications or interactive tools that help operationalize and deliver data science products across the organization.</li><li>Acts as mentor and DS SME for other more junior DS users across the state and key external stakeholders</li><li>Engages with key business stakeholders on large projects and initiatives to understand their analytical and operational challenges and translate these needs into data solutions</li><li>Assesses the structure, content, and quality of the data through examination of source systems and data samples</li><li>Collaborates with other DS professionals, data engineers, and BI professionals around data/table structures to optimize architecture, ETL procedures, dashboards, and other self-service needs</li><li>Prioritizes requirements and create rapid prototypes and minimally viable products for end users</li><li>Looks for opportunities to improve current processes or find efficiencies by applying industry best practices as a DS professional</li><li>Mines and analyzes data from state databases to drive insights into problems and efficiency in processes while maintaining the standards of organizational excellence</li><li>Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation, to data mining, to more complex statistical methodologies</li><li>Uses and monitors the input for code repositories like GitHub for code version control</li><li>Provides end user education for interpretation of business data</li><li>Tests and evaluates data solutions as it relates to upgrades to existing software</li><li>Provides maintenance and support for existing data solutions for the agency</li><li>Documents and communicates technical specifications to ensure that proper techniques and standards are incorporated into deliverables and understood by the end users</li></ul>
The job profile is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice. 
Job Requirements: 
 
<ul><li>The ideal candidate in this role should minimally have either:</li><li>A Bachelor&rsquo;s Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics and 2+ years of experience and passion for leveraging data to drive significant organizational impact, or</li><li>a Master&rsquo;s Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics, or</li><li>4+ years of experience and passion for leveraging data to drive significant organizational impact.</li><li>Considerable knowledge using computer languages (R, Python, SQL, etc.) to manipulate and draw insights from large data sets as well develop software for automation</li><li>Broad knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications</li><li>Broad knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages and drawbacks</li><li>Strong understanding of relational and dimensional databases, theories, principles, and practices</li><li>Exceptional analytical, conceptual, and problem-solving abilities</li><li>Must inhabit strategic thinking</li><li>Strong written/oral communication and presentation skills</li><li>Resourceful self-starter and highly motivated team player</li><li>Able to perform well in a fast-paced environment</li><li>Experience with data manipulation to include cleansing, standardizing, and transforming.</li><li>Experience in leading workshops or training sessions with a user community a plus</li><li>Experience with the following concepts or tools is not a requirement but considered a plus (geocoding and geospatial data, shiny, network diagraming, neo4j, Docker, Kubernetes)</li><li>Experience generating and distributing visualizations to a broad range of audiences</li><li>Effective communicator and someone who enjoys getting to understand nuances of a problem</li><li>Proficiency using frameworks such as Shiny, Dash, Flask, or Streamlit to build user-facing interfaces, connect to backend data pipelines, and deploy lightweight analytic applications.</li></ul>
 
Supervisory Responsibilities/Direct Reports: 
 
The Data Scientist Intermediate may have supervisory responsibilities for lower data scientists (state employees or contractors). 
 
Difficulty of Work: 
The Data Scientist is required to manage multiple, complex, completing large scale data solutions/products, provide leadership and mentorship to team members, and provide thought leadership and continuous improvement strategies for the organization. 
 
Responsibility: 
The Data Scientist works closely with higher-level staff and/or management to outline general objectives and boundaries that the Data Scientist will follow to meet the requirements. Unusual problems or deviations from guidelines or practice are discussed with the manager. Work is reviewed for attainment of objectives and compliance with policy and practice. 
 
Personal Work Relationships: 
Works with core internal team of project managers, engagement directors, data scientists, data engineers; as well as agency staff, agency leadership, and community partners on dashboard projects.
<h5 class="jobSectionHeader">Required/Desired Skills</h5>
Skill Required/Desired Amount of Experience Bachelor&rsquo;s Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics and 2+ years of experience Required Or a Master&rsquo;s Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics Required or 4+ years of experience and passion for leveraging data to drive significant organizational impact. Required Exp w/Shiny, Dash, Flask,or Streamlit to build user-facing interfaces, connect to backend data pipelines, and deploy lightweight analytic applications Required 2.0 Years Experience connecting to backend data pipelines, and deploy lightweight analytic applications Required 2.0 Years Experience using (R, Python, SQL, etc.) to manipulate and draw insights from large data sets as well develop software for automation Required 2.0 Years Advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) Required 2.0 Years Experience with data manipulation to include cleansing, standardizing, and transforming Required 2.0 Years Broad knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) Required 2.0 Years Strong understanding of relational and dimensional databases, theories, principles, and practices Required 2.0 Years Experience in leading workshops or training sessions with a user community a plus Required Exceptional analytical, conceptual, and problem-solving abilities Required Experience generating and distributing visualizations to a broad range of audiences Required Must inhabit strategic thinking Required Strong written/oral communication and presentation skills Required Resourceful self-starter and highly motivated team player Required Able to perform well in a fast-paced environment Required Effective communicator and someone who enjoys getting to understand nuances of a problem Required Experience with the following concepts or tools (geocoding and geospatial data, shiny, network diagraming, neo4j, Docker, Kubernetes) Highly desired</div>

Eli Lilly

<div>At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We&rsquo;re looking for people who are determined to make life better for people around the world.
At Lilly, we believe in the talent of our workforce. One of the best ways to utilize and develop that talent is to use our existing workforce to fill new and/or open positions. If you are looking for a new position within Lilly, you can view and apply to open roles posted in the internal job posting system. You must meet the minimum qualifications outlined in the job description and have/obtain work authorization in the country the position is located in order to be considered. When applying internally for a position, your current supervisor will receive notification that you have applied to the position. We encourage employees to discuss the opportunity with their supervisor prior to applying.<h2 class="jobSectionHeader">
Position Summary</h2>
The Clinical Research Scientist (CRS), Clinical Development, provides scientific and clinical expertise to drive evidence generation and clinical strategy across Phase 1&ndash;3 programs. This role leads trial design and execution in close partnership with regulatory, statistics, NPP, medical affairs, and translational teams to deliver patient-focused outcomes.<h2 class="jobSectionHeader">
Key Responsibilities</h2>
Trial Design &amp; Protocol Leadership<ul><li>
Lead design and authoring of Phase 1&ndash;3 protocols with cross-functional input</li><li>
Ensure alignment of trial design (1&deg;/2&deg; endpoints, SOA, imaging, population, line of therapy, biomarker incorporation) with program goals across functional partners (regulatory, stats, NPP, medical affairs, CMC, translational)</li><li>
Support scientific advisory boards and steering committee meetings</li></ul>
Enrollment &amp; Execution<ul><li>
Design and execute enrollment plans including country and site selection, PI identification, and risk mitigation/trend monitoring</li></ul>
Medical Affairs &amp; External Engagement<ul><li>
Partner with Medical Affairs and NPP to support TPP and indication deliverables</li><li>
Proactively engage MSL teams for key insights and deliverables</li><li>
Primary author for clinical content development for regulatory submissions and meetings</li></ul>
Data &amp; Scientific Strategy<ul><li>
Author (with MW) disclosures</li><li>
Define and monitor success metrics; ensure cross-functional alignment</li><li>
Synthesize external data to inform trial design and strategy</li><li>
Primary owner/author in data presentation at internal governance meetings; support external presentations</li></ul><h2 class="jobSectionHeader">
Basic Qualifications:</h2>
Doctoral or advanced clinical/nursing degree (PhD, PharmD, MD, DVM, MSN with advanced clinical specialty, or equivalent) and a minimum of 10 years of combined clinical and/or pharmaceutical industry experience, preferably within clinical development.
OR
BS/MS Degree in a health or scientific discipline and a minimum of 15 years of experience directly related to one or more of the following areas: Clinical/Drug Development (e.g., pharmacology, epidemiology, toxicology, regulatory affairs)<h2 class="jobSectionHeader">
Additional Preferences</h2><ul><li>
Experience supporting Phase I&ndash;III clinical programs</li><li>
Strong understanding of medical governance and regulatory requirements</li><li>
Demonstrated ability to communicate complex scientific data to diverse audiences</li><li>
Proven cross-functional collaboration and stakeholder engagement skills</li></ul>
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. 
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is
$177,000 - $338,800
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly</div>

Director - Clinical Research Scientist-Clinical Development

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Director - Clinical Research Scientist-Clinical Development