predictive modeler

Al Ahly Momkn

<div>
 A subsidiary of Al Ahly Capital, Al Ahly Momkn is a fast-evolving Fin-tech company committed to promoting secure, convenient &amp; seamless payment solutions and financial services for business owners, service providers and consumers across Egypt.
 
 
 At Al Ahly Momkn, we foster a culture of innovation, collaboration, and personal growth.
 
 
 
 We believe in empowering our employees to unleash their full potential and make a real impact in their roles. As part of our team, you'll have the opportunity to work on exciting projects, learn from industry experts, and be part of a supportive and inclusive community.
 
 
 
 1- Data Collection &amp; Preparation:
 
 <ul>
 <li>
 Collect, clean, and pre process data from various sources to support analysis and modeling activities.
 
 </li>
 <li>
 Ensure datasets are structured, reliable, and ready for exploratory and predictive analysis.
 
 </li>
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 Support data quality checks and assist in improving data consistency.
 
 
 </li>
 </ul>
 2- Exploratory Data Analysis (EDA):
 
 <ul>
 <li>
 Conduct exploratory data analysis to identify trends, patterns, anomalies, and key business insights.
 
 </li>
 <li>
 Assist in interpreting customer behavior and performance metrics across fin-tech products and services.
 
 </li>
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 Provide analytical summaries to support decision-making.
 
 
 </li>
 </ul>
 3- Predictive Modeling &amp; Machine Learning Support:
 
 <ul>
 <li>
 Assist in developing, testing, and evaluating predictive models and machine learning solutions.
 
 </li>
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 Support feature engineering and model validation processes.
 
 </li>
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 Measure model performance using appropriate evaluation metrics.
 
 
 </li>
 </ul>
 4- Visualization &amp; Reporting
 
 <ul>
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 Create dashboards, visualizations, and reports to communicate insights effectively.
 
 </li>
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 Present findings in a clear format tailored for both technical and non-technical audiences.
 
 </li>
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 Contribute to creating recurring performance reporting and ad-hoc analytics outputs
 
 
 </li>
 </ul>
 5- Cross-Functional Collaboration
 
 <ul>
 <li>
 Collaborate with Product, Tech, Operations, and other business stakeholders to translate business questions into analytical solutions.
 
 </li>
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 Support the development of data-driven recommendations and actionable insights.
 
 </li>
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 Participate in meetings and discussions to align analysis with business priorities.
 
 
 </li>
 </ul>
 6- Documentation &amp; Continuous Improvement
 
 <ul>
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 Document workflows, methodologies, and analytical processes to ensure clarity and reproducibility.
 
 </li>
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 Stay up to date with data science tools, techniques, and industry best practices.
 
 </li>
 <li>
 Suggest improvements to existing analytical approaches when relevant.
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
 
 </li>
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 0-3 Years of Experience in Data Science or similar role.
 
 </li>
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 Proficiency in Python/R, SQL, and familiarity with visualization tools.
 
 </li>
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 Understanding of basic machine learning algorithms and statistical methods.
 
 </li>
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 Strong analytical and problem‑solving skills with an eagerness to learn.
 
 </li>
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 Good communication skills to explain findings to both technical and non‑technical audiences.
 
 
 
 
 </li>
 </ul>
 Benefits
 
 
 <ul>
 <li>
 Embark on an exciting journey with the Fin-Tech Experts.
 
 </li>
 <li>
 Join a workplace that actively encourages and supports all talents.
 
 </li>
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 A support system where you have a safe place to voice your opinion, share feedback, and be your true authentic self.
 
 </li>
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 Join us in our mission to accelerate financial inclusion and make financial freedom accessible to all.
 
 </li>
 </ul>
</div>

Data Scientist

IDEXX Laboratories

Job Description
 
PRIMARY DUTIES AND RESPONSIBILITIES: 
Research, design, implement and validate cutting-edge algorithms using new statistical or other mathematical methodologies to analyze diverse sources of data to achieve targeted outcomes.
 
Develop, enhance and maintain advanced analytic models that generate new business insights or deliver predictive services to applications/teams within IDEXX.
 
Perform predictive modeling using machine learning techniques including aspects of data sourcing, data cleaning, data transformation, feature extraction/generation, model tuning, model selection, model evaluation and production deployment.
 
Collaborate with product management and engineering departments to understand company needs and devise possible solutions .
 
Work with cross-functional team members to identify and prioritize actionable, high-impact data insights across a variety of core business areas.
 
Keep up to date with latest trends in machine learning, artificial intelligence, big data mining and solutions.
 
Acts as internal consultant, advocate, mentor and change agent.
 
Collaborate and communicate with software developers in the translation of research model to production code.
 
Translate and effectively communicate complex concepts to a broad audience.
 
Collaborate and communicate with data integration teams when data quality issues are discovered.
 
Communicate results and ideas to key decision makers.
 
Maintains appropriate knowledge of clinical systems used across veterinary healthcare industry.
 
EDUCATION: 
Master's Degree or equivalent combination of education and experience required . PhD preferred.
 
REQUIRED SKILLS AND ABILITIES: 
Proven experience with data formats, structures and common methods in data transformation (CSV, XLS, JSON, Avro, Parquet as well as in relational and NoSQL databases such as MySQL, Oracle and HBase); data sources (cloud systems, AWS, MySQL, Oracle); SQL and data manipulation; big data tools (Spark, Hadoop).
 
Experience using core data science tools such as R, SAS, Python, Matlab , Java; boutique machine learning tools (TensorFlow, Theano, H2O Machine Learning).
 
Strong statistical foundation with broad knowledge of deterministic and probabilistic statistical methods.
 
Excellent pattern recognition and predictive modeling skills.
 
Thorough data exploration in advance of predictive modeling.
 
Technical knowledge of distributed computing platforms and common data process flows.
 
Classification – decision trees, logistic regression, random forest, SVM, neural networks
 
Regression – linear, nonlinear, boosted decision trees
 
Clustering – K-means, hierarchical, mixture modeling, anomaly detection
 
Time series – ARIMA
 
Dimensionality reduction – PCA, SVD
 
Experience in health care domain preferred
 
Natural curiosity to research and identify possible quantitative solutions to common business problems.
 
A strong business orientation, able to select the appropriate complex quantitative methodologies in response to specific business goals.
 
Strong communication skills, both verbal and written, including ability to translate technical subject matter to non-technical audiences (both as a speaker and listener).
 
Fluency in the English language.
 
PHYSICAL DEMANDS: 
Extensive sitting, phone and computer use.
 
Some travel may be required .
 
WORK ENVIRONMENT: 
General office environment.
 
Normal office noise level, with occasional moderate noise.
 
LEVELING GUIDE: 
Technically Experienced
 
Designs and builds new data models utilizing off-the-shelf machine learning algorithms and tools.
 
Works efficiently and independently along the whole data science pipeline – acquisition, exploration, cleaning, modeling and evaluation.
 
Experience with various data structures and common methods in data transformation.
 
Excellent pattern recognition and predictive modeling skills.
 
Ability to create new tools and packages for data science use in statistical/data science programming environments such as R, SAS, Python/Pandas.
 
Ability to create new complex SQL data queries
 
Focused Experience with doing data sourcing, manipulation, analysis on Hadoop and/or Spark platform.
 
Skilled Core Competencies (building on Data Scientist)
 
Think Big – demonstrates strategic mindset and cultivates innovation.
 
Ensures Impact – talented at planning and driving results.
 
Works Across Organization – Skilled capabilities in building informal and formal networks, with strong persuasion skills.
 
Brings People with you – Capable of developing talent to meet both their career and organizational goals.
 
Some experience with Machine learning (supervised and unsupervised) modeling
 What you can expect from us
 Salary: $155,000 - $165,000
 Additional benefits include pet insurance, mental health resources, volunteer paid days off, employee stock program, foundation donation matching, and more!
 5% matching 401k
 Health / Dental / Vision Benefits Day-One
 Opportunity for annual cash bonus
 Why IDEXX
 We’re proud of the work we do, because our work matters. An innovation leader in every industry we serve, we follow our Purpose and Guiding Principles to help pet owners worldwide keep their companion animals healthy and happy, to ensure safe drinking water for billions, and to help farmers protect livestock and poultry from disease. We have customers in over 175 countries and a global workforce of over 10,000 talented people.
 So, what does that mean for you? We enrich the livelihoods of our employees with a positive and respectful work culture that embraces challenges and encourages learning and discovery. At IDEXX, you will be supported by competitive compensation, incentives, and benefits while enjoying purposeful work that drives improvement.
 Let’s Pursue What Matters.
 IDEXX values a diverse workforce and workplace and strongly encourages women, people of color, LGBTQ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply.
 IDEXX is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws
 #LI-RM1

Staff Data Scientist

HirePower Staffing Solution

<div>
 
 Are you passionate about
 
 learning, data, scale, and agility
 
 ?
 
 
 We&rsquo;re looking for motivated professionals who love turning complex data into meaningful insights and business value. If collaboration, innovation, and problem-solving excite you &mdash; let&rsquo;s connect!
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Analyze raw data: assess quality, cleanse, and structure for downstream processing
 </li>
 <li>
 Design accurate and scalable prediction algorithms
 </li>
 <li>
 Collaborate with engineering teams to bring analytical prototypes to production
 </li>
 <li>
 Generate
 
 actionable insights
 
 that drive smarter business decisions
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 Master's Degree in a
 
 quantitative field
 
 &mdash; Statistics, Mathematics, Computer Science, Engineering, etc.
 </li>
 <li>
 
 1&ndash;2 years
 
 of experience in
 
 quantitative analytics or data modeling
 
 </li>
 <li>
 Strong grasp of
 
 predictive modeling, ML algorithms, clustering, and classification
 
 techniques
 </li>
 <li>
 Proficiency in at least one programming language:
 
 Python, C, C++, Java, or SQL
 
 </li>
 <li>
 Familiarity with
 
 Big Data frameworks
 
 (Hadoop, Spark, Cassandra) and
 
 visualization tools
 
 (Tableau, Power BI, etc.)
 </li>
 </ul>
 
 
 
 
 
 Who Are We?
 
 
 
 We are a premier IT consulting firm specializing in delivering top-tier Data Science solutions to companies across various sectors such as
 
 finance, energy, e-commerce, logistics, travel, retail, entertainment, automotive, and healthcare
 
 .
 
 
 
 
 
 
 Company Highlights:
 
 
 <ul>
 <li>
 
 Our Specialization:
 
 Providing IT consulting services.
 </li>
 <li>
 
 Experience:
 
 Over 25 years of combined domestic and international expertise in IT consulting serving hundreds of Fortune 1,000 and innovative startup clients.
 </li>
 <li>
 Interested in accelerating your tech career through career-enhancing IT consulting experience? Do you meet the required qualifications?
 
 
 If so, apply today! We look forward to hearing from you.
 
 
 </li>
 </ul>
 
 
</div>

Data Analyst

Crédit Agricole Egypt

<div>
 
 
 
 A GLIMPSE ABOUT CR&Eacute;DIT AGRICOLE EGYPT:
 
 
 
 
 
 
 
 
 Cr&eacute;dit Agricole Egypt
 
 Since its launch in 2006, Cr&eacute;dit Agricole Egypt has succeeded to become a strong player on the economic scene, positioning itself as the Reference European Bank in Egypt. Aiming to become a leading innovation-driven sustainable bank, Cr&eacute;dit Agricole Egypt is committed to bring its international expertise to the local market to serve its clients and drive the sustainable development in line with Egypt&rsquo;s national priorities.
 
 
 With a universal customer-focused model, Cr&eacute;dit Agricole Egypt is &ldquo;a whole bank just for you&rdquo; serving the entire spectrum of customers: individuals, SMEs, enterprises, Corporate and public sector. Prioritizing its customers&rsquo; best interests, Cr&eacute;dit Agricole Egypt presents an extensive range of services, tailored financial solutions and the sound advice, to accompany its clients in their walk of life. Awarded most innovative bank in Egypt, convenience and distinguished customer experience is Cr&eacute;dit Agricole Egypt&rsquo;s endeavor to attain its customers&rsquo; satisfaction throughout its nationwide network of branches and its state-of-the-art fully-fledged platform of digital services. Furthermore, Cr&eacute;dit Agricole Egypt is in line with the world&rsquo;s digital transformation, encouraging and implementing an innovative environment to exceed its customers&rsquo; expectations.
 
 
 In addition, for being an active contributor to the local economy, the bank is committed to support the development of the Egyptian community and the respect of the environment.
 
 
 
 
 
 
 
 Overview:
 
 
 
 
 
 
 
 The successful candidate will work at the intersection of credit risk and data science, developing advanced predictive models and data-driven solutions. This role is ideal for candidates with strong data science backgrounds looking to apply their skills in a real-world financial context.
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 <ul>
 <li>
 Develop predictive credit risk models for retail and corporate portfolios, leveraging data-driven approaches.
 </li>
 <li>
 Build and enhance IFRS 9/Expected Credit Loss (ECL) models, including estimating Probability of Default (PD) based on customer behaviour and historical performance, and Loss Given Default.
 </li>
 <li>
 Design and implement application and behavioural scorecards using a combination of traditional statistical approaches and modern machine learning methods.
 </li>
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 Perform in-depth data analysis on large and complex datasets to uncover insights and identify key drivers of customer behaviour and portfolio risk.
 </li>
 <li>
 Develop econometric models to quantify the impact of external factors on credit portfolio performance.
 </li>
 <li>
 Provide guidance, mentorship, and technical support to junior modellers, ensuring adherence to best practices in modelling and documentation.
 </li>
 <li>
 Collaborate with cross-functional teams to support broader business needs.
 </li>
 </ul>
 
 
 
 
 
 
 Candidate Profile:
 
 
 
 
 
 
 <ul>
 <li>
 Strong academic background in Data Science, Statistics, Mathematics, Computer Science, or related fields
 </li>
 <li>
 Proven experience in predictive modelling and advanced analytics.
 </li>
 <li>
 Proficiency in Python, R, and SQL.
 </li>
 <li>
 Knowledge of credit risk or banking is a plus, but not mandatory.
 </li>
 <li>
 Strong problem-solving mindset and ability to work with complex datasets.
 </li>
 <li>
 Ability to work effectively within a team environment, collaborating with diverse stakeholders.
 </li>
 <li>
 Excellent communication and presentation skills, with the ability to clearly explain complex technical concepts to non-technical audiences.
 </li>
 </ul>
</div>

Risk Modelling Senior Officer

Magnite

<div>Data Scientist
Boston, MA
Hybrid Schedule (M/F remote, T/W/TH in-office)
At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we&rsquo;re looking for people to help us tackle that responsibility with creativity and focus. Magnite (NASDAQ: MGNI) is the world&rsquo;s largest independent sell-side advertising platform. Publishers use our technology to monetize their content across all screens and formats including CTV / streaming, online video, display, and audio. Our tech fuels billions of transactions per day!
About this team:
We are looking for a highly talented and motivated Data Scientist. The Science team leads initiatives in audience solutions, traffic shaping, forecasting, pricing optimization, latency analysis, and a range of other strategic projects. We are looking for someone versatile, methodical, excited by modern technology, and who enjoys focusing on tackling data science challenges.
In this role you will:
<ul><li>Research, experiment with, and prototype machine learning algorithms and statistical models for pattern recognition, trend analysis, optimization, and predictive modeling</li><li>
Collaborate with Engineers to ensure scalable models that perform effectively on high-volume data and support deployment to production</li><li>
Leverage big data technologies such as Hadoop and Spark to process large-scale datasets</li><li>
Stay aligned with both client-driven and internal projects</li><li>
Participate in and contribute to design and code reviews for data science projects</li><li>
Develop a strong understanding of the ad tech business context to ensure data science solutions are relevant and impactful</li></ul>
We&rsquo;re looking for someone with:<ul><li>
A PhD in a quantitative discipline (e.g., mathematics, statistics, computer science, or engineering)</li><li>
Strong understanding of predictive analytics, statistical modeling, and data mining&mdash;including theory, algorithms, and practical applications</li><li>
Able to make intelligent approximations and design effective, practical, and scalable mathematical models</li><li>
Ability to identify assumptions and limitations in models and algorithms, and assess their impact on reporting and decision-making</li><li>
Proficiency in Python and SQL is required; experience with Scala is a plus</li><li>
Familiarity with large language models is a plus</li></ul>
In MA, the base salary range for this role is $125,000 &ndash; $135,000. 
Actual compensation will be determined based on location, experience, skills, and internal equity.
This role is also eligible for:<ul><li>
Annual performance-based bonus</li><li>
Equity (NASDAQ: MGNI)</li><li>
Comprehensive benefits package</li></ul>
During the interview process, candidates will receive more specific information about the salary range applicable to their experience and location.
Perks and Benefits:<ul><li>
Comprehensive Healthcare Coverage from Day One</li><li>
Generous Time Off
</li><li>Holiday Breaks and Quarterly Wellness Days</li><li>
Equity and Employee Stock Purchase Plan</li><li>
Family-Focused Benefits and Parental Leave</li><li>
401k Retirement Savings Plan with Employer Match</li><li>
Disability and Life Insurance</li><li>
Cell Phone Subsidy</li><li>
Monthly Fitness Reimbursement</li></ul>
Career Growth:
We support internal mobility, skill development, and leadership pathways through structured career frameworks and learning programs.
Company Culture:
Magnite&rsquo;s culture is rooted in collaboration and connection, recognizing that both are essential to success. Our hybrid schedule includes two remote workdays (Monday and Friday) and three in-office days (Tuesday through Thursday), where employees can take advantage of catered lunches, beverages, snacks, training opportunities, and engaging office events that enhance the work experience. In addition, we support our team through meaningful benefits and programs, including community service and volunteer opportunities, company-matched charitable contributions, access to mental health resources, structured career development initiatives and growth frameworks, culture and inclusion programs, and our Bonusly peer-to-peer recognition platform.
About Us
The world's leading agencies and brands trust our platform to access brand-safe, high-quality ad inventory and execute billions of advertising transactions each month. Anchored in bustling New York City, sunny Los Angeles, mile-high Denver, historic London, and down under in Sydney, Magnite has offices across North America, EMEA, LATAM, and APAC.
Magnite is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other federal, state or local protected class.
Our Commitment: We aim to incorporate a wide range of voices into our Magnite culture, cultivating an environment where employees feel welcomed, cared for, and encouraged to freely share ideas. We are committed to employee growth, collaboration, inclusion, and innovation. We invest in Magnite&rsquo;s local communities. We seek talent from all backgrounds to champion corporate values of seeing the big picture and being catalysts of change.
Want to learn more about us?
Check out our blog for Magnite announcements and Ad Tech industry news!
Recruiting Agency Notice
Magnite does not accept agency resumes and is not responsible for any fees related to unsolicited resumes.</div>

Data Scientist (PHD Required)

HNTB Corporation

<div>What We're Looking For
At HNTB, you can create a career that is meaningful to you while building communities that matter to all of us. For more than a century, we have been delivering solutions for some of the largest, most complex infrastructure projects across the country. With our historic growth, it is an exciting time to join our team of employee-owners.
This opportunity entails being responsible for designing and implementing data science solutions that address business challenges. You will collaborate with stakeholders to define analytical goals, build predictive models, and deploy scalable solutions using modern data science tools and techniques. The role includes mentoring junior team members, optimizing data workflows, and integrating advanced technologies such as cloud computing, AI/ML, and real-time analytics into business processes. This role builds on foundational skills and introduces broader responsibilities in technical execution, problem-solving, and team collaboration.
What You'll Do:
<ul><li>Analyzes large datasets to identify trends, patterns, and actionable insights.</li>
<li>Builds and validates predictive models using statistical and machine learning techniques.</li>
<li>Collaborates with stakeholders to define problem statements and data requirements.</li>
<li>Develops and maintains data pipelines and model deployment workflows.</li>
<li>Conducts A/B testing and evaluates model performance.</li>
<li>Mentors junior team members and contributes to knowledge sharing.</li>
<li>Presents findings to technical and non-technical audiences.</li>
<li>Performs other duties as assigned.</li>
</ul>What You'll Need:
<ul><li>Bachelor&rsquo;s degree in data science, statistics, computer science, computer engineering, or information systems and 2 years of relevant experience, or</li>
<li>Master&rsquo;s degree in data science, statistics, computer science, computer engineering, or information systems and 1 years of relevant experience, or</li>
<li>In lieu of education, 6 years of relevant experience</li>
</ul>What You'll Bring:
<ul><li>Experience applying data science to infrastructure/transportation use casessuch asasset analytics, deterioration modeling, resilience, or risk assessment.</li>
<li>Experience with statistical modeling, regression, and travelbehaviorand survey data.</li>
<li>ProficiencywithGIS,Python, R, SQL,or ETL pipelinesand experience communicating results throughArcGIS,Power BI, Tableau, or similar tools.</li>
<li>Demonstrated experience with machine learning algorithms and applied model development (e.g., k-NN, Naive Bayes, SVM, Decision Forests, etc.).</li>
<li>Strong stakeholder communication skills and comfort translating analytical results into actionable guidance.</li>
</ul>What We Prefer:
<ul><li>Master&rsquo;s degree in data science, statistics, computer science, computer engineering, or information systems</li>
</ul>Additional Information
Click here for benefits information: HNTB Total Rewards
Click here to learn more about Equal Opportunity Employer/Disability/Veteran
Visa sponsorship is not available for this position.
\#RN
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Locations:
Atlanta, GA, Chicago, IL, Cleveland, OH, Minneapolis, MN, New York, NY
.
The approximate pay range for New York is $74,417.85 - $139,533.46. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual&rsquo;s qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state.
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The approximate pay range for Ohio is $74,417.85 - $111,626.77. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual&rsquo;s qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state.
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The approximate pay range for Minnesota is $78,138.74 - $117,208.11. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual&rsquo;s qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state.
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The approximate pay range for Illinois is $81,859.63 - $122,789.44. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual&rsquo;s qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state.
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The approximate nation wide pay range for this position is $74,417.85 - $139,533.46. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual&rsquo;s qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state.
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NOTICE TO THIRD-PARTY AGENCIES:
HNTB does not accept unsolicited resumes from recruiters or agencies. Any staffing/employment agency, person or entity that submits an unsolicited resume to this site does so with the understanding that the applicant's resume will become the property of HNTB. HNTB will have the right to hire that applicant at its discretion and without any fee owed to the submitting staffing/employment agency, person or entity. Staffing/employment agencies who have fee agreements with HNTB must submit applicants to the designated HNTB recruiter to be eligible for placement fees.
Job Type: Regular
Full/Part Time: Full time
Job Category: Technical Group
ReqID: R-29829</div>

Data Scientist II – Asset Analytics and Transportation Modeling

Search 617+ Predictive modeler jobs near you this April. New roles added regularly across leading industries. Apply today.

617 predictive modeler jobs Near Me

Data Scientist

Staff Data Scientist

Data Analyst

Risk Modelling Senior Officer

Data Scientist (PHD Required)

Data Scientist II – Asset Analytics and Transportation Modeling

Data Scientist II – Asset Analytics and Transportation Modeling