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senior data scientist

The Jupiter Group, Inc

<div>
 
 &bull; This role is for a Data Scientist in the Supply Chain &amp; Manufacturing domain, with specific experience in areas like retail supply chain, inventory planning, and forecasting. The team is focused on predictive analytics and machine analytics, building real forecasting and ML models rather than just operating existing tools. GenAI and LLMs are being explored, but they are not mature yet and not the main focus of the role today.
 
 
 &bull; The team is currently working with KumoAI (recommendation software). They are building systems around inventory forecasting and vendor recommendation, and want to take those solutions further. Inventory planning is a key business problem they&rsquo;ve already solved once and are now enhancing with more advanced ML and deep learning approaches.
 
 
 &bull; They are looking for someone who has hands-on experience building different types of forecasting models and machine learning models in Python, not someone who only consumes models or uses black-box solutions. The expectation is that this person has designed their own models from scratch and productionized them using platforms like AWS and Databricks. They&rsquo;ve even built internal software for forecasting that the business can directly use.
 
 
 &bull; From a technical perspective, they want strong experience in deep learning for time series forecasting, especially for inventory forecasting and planning. There is very little NLP involved, so this is not an NLP-heavy role. The profile leans more toward a Full Stack Data Engineer / Data Scientist hybrid &mdash; someone who understands data pipelines, modeling, and deployment end-to-end.
 
 
 &bull; They specifically do not want black-box model users. They need someone who understands what is happening inside the models, can tune and improve them, and apply them directly to real business problems.
 
 
 
</div>

Data Scientist

Tiger Analytics

<div>Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
We are seeking a Data Scientist with strong downstream refining experience to drive data-driven insights across refinery operations, economics, and reliability. This role partners closely with process engineers, operations, planning, maintenance, and commercial teams to optimize refinery performance using advanced analytics, machine learning, and domain-informed modeling.
You&rsquo;ll work on high-impact problems such as yield optimization, energy efficiency, unit reliability, predictive maintenance, and margin improvement&mdash;turning complex refinery data into actionable intelligence.
Analytics &amp; Modeling<ul><li>
Develop, validate, and deploy statistical, ML, and optimization models for refining operations</li><li>
Build models supporting:</li><li><ul><li>
Unit performance optimization (e.g., CDU/VDU, hydrotreating, cracking)</li><li>
Energy efficiency and utilities optimization</li><li>
Yield and cut-point optimization</li><li>
Predictive maintenance and reliability analytics</li><li>
Fouling, corrosion, and anomaly detection</li></ul></li><li><ul><li>
Apply time-series analysis to high-frequency plant data (DCS, historian)</li></ul></li></ul>
Refining Domain Collaboration<ul><li>
Partner with process engineers, operations, maintenance, and planning teams to translate refinery problems into analytical solutions</li><li>
Incorporate first-principles knowledge (mass &amp; energy balances, constraints, process limits) into data models</li><li>
Interpret model results in the context of refinery economics, safety, and operability</li></ul>
Communication &amp; Impact<ul><li>
Clearly communicate insights to technical and non-technical stakeholders</li><li>
Quantify business impact (margin improvement, energy reduction, reliability gains)</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Chemical Engineering, Applied Mathematics, Statistics, or related field</li><li>
3&ndash;8+ years of experience applying data science in downstream refining or closely related process industries</li><li>
Strong proficiency in Python or R for data analysis and modeling</li><li>
Experience with time-series data and industrial process data</li><li>
Solid understanding of refining processes and unit operations</li><li>
Experience working with historians (PI), SQL databases, and unstructured data</li></ul>
Preferred Qualifications<ul><li>
Advanced degree (MS or PhD)</li><li>
Familiarity with:</li></ul>
Optimization techniques (LP/NLP)
Digital twin or hybrid physics + ML models
Cloud platforms (AWS, Azure, GCP)nced Data Scientists. 
Benefits 
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.</div>

Lead Data Scientist(Oil and Gas Industry)

MD Anderson Cancer Center

<div>The Department of Health Services Research conducts the highest quality health services research with the ultimate aims of optimizing health care delivery and improving outcomes for the prevention and treatment of cancer. 
 
MD Anderson Cancer Center is a leading institution focused on cancer care, research, education, and prevention. The primary purpose of the Health Services Research Associate Data Scientist position is to develop and maintain mathematical, and simulation models related to research conducted in Health Services Research, develop optimization algorithms, computer code, perform statistical analysis and prepares reports, often associated with modeling cancer disease progression and medical decision making. 
 
The ideal candidate will experience with Markov decision processing or Monte Carlo simulation/modeling. 
 
Salary: Minimum $88,000 - Midpoint $110,000 - Maximum $132,000 
 
Work Location: Texas Medical Center 
 
Work Schedule: Onsite 2 - 3 days and as business needs. 
 
Responsibilities 
 
Mathematical Modeling 
 
<ul><li>Develop mathematical and optimization models to support cancer-related research.</li></ul> 
<ul><li>Implement optimization algorithms to solve analytical models to optimality.</li></ul> 
<ul><li>Validate analytical models using data from national and regional cancer registries and clinical trials.</li></ul> 
<ul><li>Maintain and update models to reflect evolving clinical practices.</li></ul> 
<ul><li>Learn and apply new optimization and approximation methods for efficient model solving.</li></ul> 

Simulation Modeling 
 
<ul><li>Build microsimulation or Monte Carlo simulation models of disease progression and cancer care processes.</li></ul> 
<ul><li>Validate simulation models using observational registry data and clinical trial data.</li></ul> 
<ul><li>Maintain and update simulation models as clinical standards evolve.</li></ul> 

Data Analysis &amp; Management 
 
<ul><li>Perform basic and advanced statistical analyses under guidance from statistical analysts.</li></ul> 
<ul><li>Assist faculty with the development of statistical methods for risk assessment and prediction.</li></ul> 
<ul><li>Manage datasets from national and regional cancer registries, clinical trials, medical billing systems, national surveys, and large claims databases including IBM MarketScan, Optum Clinformatics, and Medicare.</li></ul> 
<ul><li>Coordinate multiple concurrent projects efficiently.</li></ul> 

Research, Training &amp; Reporting 
 
<ul><li>Conduct literature reviews and learn relevant medical terminology.</li></ul> 
<ul><li>Support selection of study design, cohort definition, data analysis, and interpretation of results.</li></ul> 
<ul><li>Present at monthly lab meetings and assist in training trainees to use models and code.</li></ul> 
<ul><li>Prepare tables, figures, text summaries, memos, and components of scientific manuscripts.</li></ul> 

Computer Programming 
 
<ul><li>Develop computer code for data analyses, mathematical models, and simulation models using Julia, R, and Python.</li></ul> 
<ul><li>Create and maintain online code repositories using GitHub.</li></ul> 

EDUCATION 
 
Required: Bachelor's Degree Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field. 
 
WORK EXPERIENCE 
 
Required: Two years Scientific software or industry development/analysis. 
 
Preferred: Prior experience with Markov decision processing or Monte Carlo simulation/modeling. 
 
The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition. 
 
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment. 
 
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html 
 
Additional Information
 
<ul><li>Requisition ID: 179541
</li><li>Employment Status: Full-Time
</li><li>Employee Status: Regular
</li><li>Work Week: Days
</li><li>Minimum Salary: US Dollar (USD) 88,000
</li><li>Midpoint Salary: US Dollar (USD) 110,000
</li><li>Maximum Salary : US Dollar (USD) 132,000
</li><li>FLSA: exempt and not eligible for overtime pay
</li><li>Fund Type: Soft
</li><li>Work Location: Hybrid Onsite/Remote
</li><li>Pivotal Position: Yes
</li><li>Referral Bonus Available?: Yes
</li><li>Relocation Assistance Available?: Yes
</li></ul> 
#LI-Hybrid</div>

Associate Data Scientist

Alvarez & Marsal

<div></div><div><div><div>Location: Houston, TX, United States 
Date Posted: Feb 28, 2026</div><div><div> 
</div></div></div><div>Description
Digital Finance Transformation - Data Scientist: Associate &ndash; Private Equity Performance Improvement
About Alvarez &amp; Marsal
Alvarez &amp; Marsal (A&amp;M) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work&mdash;guided by A&amp;M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity&mdash;are why our people love working at A&amp;M.
The Team
A&amp;M&rsquo;s Private Equity Performance Improvement Services (PEPI) practice works with private equity held portfolio companies and provides our clients with solutions to preserve and generate value for their businesses. Our goal is to improve transparency to key drivers and business performance, to support increasing cash and EBITDA, and to provide benefits through hands-on involvement in our clients&rsquo; operations. Our job is to support PE firms to ensure their portfolio companies have credible plans and the ability to execute and deliver financial outcomes.
Our PEPI CFO Services practice includes the following pillar of services:<ul><li>
Strategic Finance and Liquidity Management</li><li>
Accounting Advisory and Financial Reporting Solutions</li><li>
Working Capital Optimization</li><li>
Digital Finance Transformation</li><li>
Interim Management</li></ul>
How you will contribute
We are seeking an Associate or Senior Associate to join our Digital Finance Transformation team within PEPI. This role focuses on helping private equity portfolio companies accelerate digital enablement within the finance function&mdash;modernizing data environments, automating processes, and building analytics-driven tools that create measurable business impact.
The ideal candidate blends strong technical expertise in Python, SQL, and modern data platforms with a solid understanding of finance and accounting operations. You will work directly with CFOs, Controllers, and FP&amp;A leaders to design, implement, and operationalize digital solutions that improve performance, transparency, and scalability.
Qualifications<ul><li>
3-6 plus years of professional experience; consulting or professional services experience preferred.</li><li>
Advanced Python programming experience, including familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>
Strong SQL skills and experience with modern data platforms (Snowflake, Databricks, Azure Synapse, Microsoft Fabric).</li><li>
Experience with ETL/orchestration tools (Dagster, Temporal, Azure Data Factory, AWS Glue, Fivetran, Matillion).</li><li>
Demonstrated ability to develop lightweight finance applications using Streamlit or Retool.</li><li>
Solid understanding of finance and accounting concepts, including forecasting, working capital management, and three-statement modeling.</li><li>
Exceptional communication and collaboration skills; proven ability to translate between finance and technology teams.</li><li>
Ability to travel as required</li></ul>
#LI-LS1
Your journey at A&amp;M
We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person&rsquo;s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.
We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&amp;M. The possibilities are endless for high-performing and passionate professionals.
The salary range is $90,000-$130,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&amp;M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance. Please ask your recruiter for details.
Alvarez &amp; Marsal recruits on an ongoing basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) that they are qualified for and that are of interest to them.
Full-time Positions and Part-time Positions Over 30 hours
Regular employees working 30 or more hours per week are also entitled to participate in Alvarez &amp; Marsal Holdings&rsquo; fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&amp;D, and disability coverages at rates determined periodically as well as a 401(k) retirement savings plan. Provided the eligibility requirements are met, employees will also receive an annual discretionary contribution to their 401(k) retirement savings plan from Alvarez &amp; Marsal. Additionally, employees are eligible for paid time off including vacation, personal days, seventy-two (72) hours of sick time (prorated for part time employees), ten federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type.
Inclusive Diversity
A&amp;M&rsquo;s entrepreneurial culture celebrates independent thinkers and doers who can positively impact our clients and shape our industry. The collaborative environment and engaging work&mdash;guided by A&amp;M&rsquo;s core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity&mdash;are the main reasons our people love working at A&amp;M. Inclusive Diversity means we embrace diversity, and we foster inclusiveness, encouraging everyone to bring their whole self to work each day. It runs through how we recruit, develop employees, conduct business, support clients, and partner with vendors. It is the A&amp;M way.
Equal Opportunity Employer
It is Alvarez &amp; Marsal&rsquo;s practice to provide and promote equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination because of race, color, creed, religion, national origin, ancestry, citizenship status, sex or gender, gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, family medical history, genetic information or other protected medical condition, political affiliation, or any other characteristic protected by and in accordance with applicable laws. Employees and Applicants can find A&amp;M policy statements and additional information by region here.
Unsolicited Resumes from Third-Party Recruiters
Please note that as per A&amp;M policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that A&amp;M will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.
</div><div><h2 class="jobSectionHeader">Inclusive Diversity</h2>
A&amp;M&rsquo;s entrepreneurial culture celebrates independent thinkers and doers who can positively impact our clients and shape our industry. The collaborative environment and engaging work&mdash;guided by A&amp;M&rsquo;s core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity&mdash;are the main reasons our people love working at A&amp;M. Inclusive Diversity means we embrace diversity, and we foster inclusiveness, encouraging everyone to bring their whole self to work each day. It runs through how we recruit, develop employees, conduct business, support clients, and partner with vendors. It is the A&amp;M way.
<h2 class="jobSectionHeader">Equal Opportunity Employer</h2>
It is Alvarez &amp; Marsal&rsquo;s practice to provide and promote equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination because of race, color, creed, religion, national origin, ancestry, citizenship status, sex or gender, gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, family medical history, genetic information or other protected medical condition, political affiliation, or any other characteristic protected by and in accordance with applicable laws. .
<h2 class="jobSectionHeader">Unsolicited Resumes from Third-Party Recruiters</h2>
Please note that as per A&amp;M policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that A&amp;M will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.</div></div>

Associate, Digital Finance Transformation - Data Scientist - Private Equity Performance Improvement (OPEN TO ALL US LOCATIONS)

<div>We seek a talented, energetic, and collaborative Molecular Modeling Scientist to conduct both routine and novel analyses as part of our flagship platform A3D3a: Adaptive, AI-augmented, Drug Discovery and Development. With experience in structural prediction, comparative modeling, and emerging generative models, the Molecular Modeling Scientist will contribute to the discovery of novel cancer therapeutics as part of A3D3a. 
 
Led by Prof. Bissan Al-Lazikani, Director of Therapeutics Data Science, the intelligent and ever-learning A3D3a platform is part of MD Anderson's Therapeutics Data Science initiative and part of our ambitious Institute for Data Science in Oncology. A3D3a will accelerate the discovery and impact of novel therapies for cancer by enabling novel opportunities for optimized therapies for patients with a focus on rare and hard-to-treat cancers through the development of novel machine learning and AI technologies. 
 
Central to this vision, the Molecular Modeling Scientist will leverage state-of-the-art macromolecular modeling techniques and, collaboratively with senior scientists, develop innovative data science approaches to answer structural questions about and nominate therapeutic targets. Additionally, physics-based modeling may also compliment structural informatics and generative AI efforts. The preferred candidate should have at least an MSc in Chemistry, Biochemistry, Computer Science, or a related field. A strong background in computational modeling and a willingness to learn new approaches is critical to this role. 
 
The ideal candidate will be an experienced computational scientist with strong Python-based scientific computing skills and expertise in cheminformatics, generative AI, and molecular modeling-capable of building predictive ML models, generating and analyzing macromolecular structures, leveraging tools such as PyTorch, Modeller, Rosetta, and MD packages, and contributing effectively to multidisciplinary research through rigorous documentation, scientific communication, and efficient project management.
 
 
JOB RESPONSIBILITIES:
 
<ul><li>Generate comparative macromolecular models of potential therapeutic targets</li><li>Build and apply machine/deep learning models to predict structural properties</li><li>Analyze ensembles of structures through techniques such as clustering</li><li>Document work thoroughly</li><li>Produce output for scientific publications and contribute to said publications</li><li>Present results at multidisciplinary project meetings as well as external meetings</li><li>Attend collaborator meetings and team working group meetings. Prioritize and manage multiple projects in a timely and resource-effective manner.</li><li>Stay up to date with relevant literature, gather information systematically, and confer with the supervisor regarding new procedures.
</li><li>Expertise in scientific computing using Python in a Unix environment</li><li>Proficient with generative AI for structure prediction; familiar with PyTorch.</li><li>Proficiency with Modeller, Rosetta, or other classical comparative modeling tools</li><li>Experience with OpenMM, AMBER, or comparable MD tools</li><li>Experience with molecular visualization tools (i.e., PyMol, VMD)</li><li>Familiar with basic statistical testing</li></ul> 
Other duties as assigned. 
 
EDUCATION:
 
Required: Bachelor's Degree Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field. 
Preferred: Master's or PhD Degree Science, Engineering or related field. 
 
EXPERIENCE: 
Required: Three years scientific software or industry development/analysis experience. With Master's degree, one year. With PhD, no experience required. 
Preferred: Proficent with PyTorch. Profient with comparative modeling tools. 
 
The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition. 
 
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment. 
 
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html 
 
Additional Information
 
<ul><li>Requisition ID: 179242
</li><li>Employment Status: Full-Time
</li><li>Employee Status: Regular
</li><li>Work Week: Days
</li><li>Minimum Salary: US Dollar (USD) 106,500
</li><li>Midpoint Salary: US Dollar (USD) 133,000
</li><li>Maximum Salary : US Dollar (USD) 159,500
</li><li>FLSA: exempt and not eligible for overtime pay
</li><li>Fund Type: Soft
</li><li>Work Location: Hybrid Onsite/Remote
</li><li>Pivotal Position: Yes
</li><li>Referral Bonus Available?: Yes
</li><li>Relocation Assistance Available?: Yes
</li></ul> 
#LI-Hybrid</div>

Data Scientist Molecular Modeling

Crane Worldwide Logistics

<div>Essential Job Functions
<ul>
<li>Collaborate with internal partners to identify high-impact opportunities for predictive and prescriptive analytics</li>
<li>Develop, test, and deploy machine learning models to support decision[1]making and optimize business processes</li>
<li>Design and conduct experiments (e.g. A/B testing) to validate hypotheses and measure outcomes</li>
<li>Present complex findings in a clear, actionable way through visualizations, dashboards, interactive applications, or technical reports</li>
<li>Create and maintain production-ready pipelines for data science models</li>
<li>Partner with the Business Intelligence and Data Engineering teams to improve data quality, define key metrics, and develop reusable data assets</li>
<li>Mentor analysts and other self-service data consumers in advanced statistical and machine learning techniques</li>
<li>Detect anomalies, forecast key business trends, and provide proactive recommendations</li>
<li>Stay current on emerging methods, tools, and technologies in data science</li>
<li>Other duties as assigned</li>
</ul>
Other Skills &amp; Abilities
<ul>
<li>Strong programming skills in Python or R; familiarity with Julia or similar languages is a plus</li>
<li>Prior experience making or publishing analytical web apps (e.g. Shiny, Streamlit)</li>
<li>Proficiency with machine learning libraries and frameworks (scikit-learn, TensorFlow, PyTorch)</li>
<li>Advanced knowledge of statistics, experimental design, and predictive modeling</li>
<li>Skilled in SQL and comfortable working with large datasets</li>
<li>Familiarity with deploying and maintaining models in production</li>
<li>Comfortable with BI tools and integrating data science outputs into business processes</li>
</ul>
Physical Requirements
<ul>
<li>Talking, hearing and using hands to operate a computer keyboard, mouse and other computer components</li>
<li> Sitting for extended periods of time</li>
<li> Vision abilities required by this job include close vision and the ability to adjust focus</li>
</ul>
Education &amp; Experience
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Statistics, Applied Math, Data Science, or a related field</li>
<li>2&ndash;5+ years of experience in data science, advanced analytics, or a related role</li>
<li>Demonstrated experience delivering end-to-end machine learning, optimization, or forecasting solutions</li>
</ul>
CERTIFICATIONS AND LICENSES
<ul>
<li>Professional certification may be required in this position.</li>
<li>Relevant certifications (e.g., CPP, PSP, TAPA) preferred.</li>
</ul>
WHY SHOULD YOU WORK FOR CRANE?

At Crane, we believe in providing our employees with excellent benefits at a Great Place to Work.

We offer:
<ul>
<li>Quarterly Incentive Plan</li>
<li>136 hours of Paid Time Off which equals 17 days for the year, that can be used for Sick Time or for Personal Use</li>
<li>Excellent Medical, Dental and Vision benefits</li>
<li>Tuition Reimbursement for education related to your job</li>
<li>Employee Referral Bonuses</li>
<li>Employee Recognition and Rewards Program</li>
<li>Paid Volunteer Time to support a cause that is close to your heart and contributes to our communities</li>
<li>Employee Discounts</li>
<li>Wellness Incentives that can go up to $100 per year for completing challenges, in addition to a discount on contribution rates</li>
</ul>
Come join the leader in logistics and take your career in the right direction.

Disclaimer:

The above statements are intended to describe the general nature and level of work being performed by people assigned to this position. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

We maintain a drug-free workplace and perform pre-employment substance abuse testing.

This position requires the final candidate to successfully pass an E-Verify Check.

More Information: http://www.dhs.gov/e-verify

Company benefits are contingent upon meeting eligibility requirements and plan conditions.</div>

Rice University

<div>This position is not eligible for employment visa sponsorship. Applicants must be authorized to work in the United States on a full-time, ongoing basis without the need for sponsorship now or in the future. 
 Special Instructions to Applicants: 
 All interested applicants should attach a resume and cover letter in the Supporting Documents section of the application, preferably in PDF format. Your materials should demonstrate your knowledge, skills, and experience in translating complex business needs into technical solutions using advanced analytics, including predictive modeling and statistical analysis, to drive institutional decision-making. 

 About Rice: 
 Boasting a 300-acre tree-lined campus in Houston, Texas, Rice University is ranked among the nation&rsquo;s top 20 universities by U.S. News &amp; World Report. Rice has a 6-to-1 undergraduate student-to-faculty ratio and a residential college system, which supports students intellectually, emotionally, and culturally through social events, intramural sports, student plays, lecture series, courses, and student government. Developing close-knit, diverse college communities is a strong campus tradition, which is why Rice is highly ranked for best quality of life and best value among private universities. 
 Rice is also a wonderful place to work. Rice faculty, staff, and students share values that are essential to our success as a healthy community. Those values guide our decisions and behaviors, shaping Rice&rsquo;s culture. They come through in the way we treat each other and the welcome we extend to our visitors. These values can be recalled simply by our name &mdash; RICE &mdash; Responsibility, Integrity, Community, and Excellence. 
 Position Summary: 
 
The Institutional Research and Analytics (IRA) team within the Office of Institutional Data, Evaluation, Analytics, and Strategy (IDEAS) seeks a versatile data professional who can translate advanced analytics and predictive modeling into scalable, actionable solutions for campus partners. Reporting to the Executive Director of Institutional Research and Analytics, the Senior Analytics and Data Solutions Specialist serves as a high-level consultant and advanced analytics lead within the Institutional Research and Analytics team. This position is responsible for designing and implementing predictive and statistical models to address complex research questions while building sustainable, accurate data sources. A critical component of this role is serving as a technical mentor, promoting the adoption of reproducible research methodologies and a consistent advanced analytics framework across the team. By leveraging domain expertise in higher education and advanced analytics methodologies, this role develops scalable data solutions and predictive models that directly inform institutional strategy. 

 Ideal Candidate Statement: 
 
The ideal candidate operates comfortably at the intersection of stakeholder partnership and advanced analytics. You combine strong technical execution with the ability to translate complex institutional needs into rigorous, reproducible analytical solutions using Python, R, and/or SQL. You understand the interconnected nature of admissions, student, HR, research, and finance data, and can apply advanced statistical and predictive modeling techniques to deepen and extend existing reporting and analytical practices. As a mentor and technical leader, you will help the team broaden its analytical toolkit&mdash;building on a strong foundation of descriptive analysis to incorporate predictive and prescriptive approaches that inform institutional strategy. 

 Workplace Requirements: 
 
This position is offered as a hybrid role, combining both in-office and remote work to provide flexibility and support collaboration. Occasional work-related travel is expected. For the right candidate, this could be a fully remote position, permitting all tasks to be completed from any location within the United States, with working hours remaining standard Central Time. Per 
 Rice policy 440 
 , work arrangements may be subject to change. 

 Hiring Range: 
 $100,000&ndash;$120,000 (commensurate with experience) 
 
*Exempt (salaried) positions under 

 FLSA 

 are not eligible for overtime. 
 Minimum Requirements: 

 Bachelor&rsquo;s degree in a relevant field (data science, statistics, social sciences, or a related area) 
<ul><li><ul><li>
 In lieu of the education requirement, additional related experience beyond what is required may be substituted on an equivalent year-for-year basis</li></ul></li> 
 Minimum of 4+ years of professional work experience in data management, data science, or analytical solution development 
<li><ul><li>
 In lieu of the experience requirement, additional related education beyond what is required may be substituted on an equivalent year-for-year basis</li></ul></li> 
<li>
 Skills: 
<ul><li>

 Solution Translation: 
 Demonstrated ability to partner with diverse stakeholders to translate complex business needs into clear technical specifications, analytical approaches, and decision-ready deliverables</li> 
<li>

 Advanced Analytics and Modeling: 
 Proficiency in Python and/or R to conduct advanced statistical and predictive modeling (e.g., regression, classification, clustering, forecasting). Ability to select and apply appropriate methodologies to solve institutional research questions</li> 
<li>

 Data Management: 
 Advanced experience querying and transforming data within centralized enterprise data platforms, including strong SQL proficiency</li> 
<li>

 Analytic Development and Data Communication: 
 Experience developing enterprise-scale dashboards (e.g., Tableau) and communicating complex findings through clear data visualization and narrative storytelling tailored to executive audiences</li></ul></li></ul> 

 Preferences: 

<ul> <li>5+ years of professional work experience</li> 
<li>
 Experience in higher education or similarly complex institutional environments</li> 
<li>
 Experience working with student lifecycle, HR, finance, or research administration data systems</li> 
<li>
 Master&rsquo;s or doctoral degree preferred</li></ul> 

 Essential Functions: 
<ul>
<li> Stakeholder Consultation &amp; Solution Design (30%): 
 Partners with campus leadership and subject matter experts to define analytical needs and clarify research questions. Independently determines appropriate analytical methodologies, modeling approaches, and data presentation strategies to deliver actionable solutions</li> 
<li>
 Advanced Analytics &amp; Modeling (30%): 
 Designs and implements advanced statistical and predictive modeling approaches to address complex institutional questions. Applies appropriate modeling techniques, ensuring models are interpretable, well-documented, and decision‑relevant</li> 
<li>
 Sustainable Data Development (20%): 
 Designs and maintains scalable, reliable data pipelines and analytical workflows that support both descriptive reporting and predictive modeling. Automates data preparation and validation processes to ensure accuracy, reproducibility, and long‑term sustainability</li> 
<li>
 Technical Mentorship (15%): 
 Guides the continued evolution of the team&rsquo;s advanced analytics practice. Promotes reproducible research standards and supports the expansion of predictive and prescriptive analytical capabilities</li> 
<li>
 Documentation &amp; Quality Assurance (5%): 
 Develops comprehensive technical documentation and ensures analytical products meet institutional standards for data governance, accuracy, transparency, and reproducibility</li></ul> 

 Additional Functions: 

<ul> <li>Contributes to special projects and emerging priorities as needed to advance departmental and institutional goals. Duties may expand or shift in alignment with strategic initiatives</li> 
<li>
 Performs other duties as assigned to support departmental and institutional priorities</li> 
</ul>Rice University HR | Benefits: https://knowledgecafe.rice.edu/benefits
Rice Mission and Values: Mission and Values | Rice University
Rice University is committed to ensuring Equal Employment Opportunity and welcoming the fullness of diversity into our candidate pools. Rice considers qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national or ethnic origin, genetic information, disability, or protected veteran status. Rice also provides reasonable accommodations to qualified persons with disabilities. If an applicant requires a reasonable accommodation for any part of the application or hiring process, please get in touch with Rice University&rsquo;s Human Resources Office via email at facstaffada@rice.edu for support. 
 
If you have any additional questions, please email us at jobs@rice.edu. Thank you for your interest in employment with Rice University.</div>

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