predictive modeler

MANTECH

<div>MANTECH seeks a motivated, career- and customer-oriented Data Scientist to join our innovative team in Ashburn, VA. This is a hybrid position with 2 days onsite and 3 days remote.
Each day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of &ldquo;big data&rdquo; solutions to promote efficient trade and travel. Further, effective solutions help CBP ensure the movement of people, capital, and products are legal, safe, and secure.
Responsibilities include but are not limited to:<ul><li>
Perform hands-on analysis and modeling involving the creation of intervention hypotheses and experiments, assessment of data needs and available sources, determination of optimal analytical approaches, performance of exploratory data analysis, and feature generation (e.g., identification, derivation, aggregation).</li><li>
Collaborate with mission stakeholders to define, frame, and scope mission challenges where big data interventions may offer important mitigations and develop robust project plans with key milestones, detailed deliverables, robust work tracking protocols, and risk mitigation strategies.</li><li>
Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and mission data associated within an identified problem space to build predictive models as well as develop appropriate supporting documentation.</li><li>
Leverage knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions.</li><li>
Participate in projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching.</li><li>
Brief project management, technical design, and outcomes to both technical and non-technical audiences including senior government stakeholders throughout the model development/project lifecycle through written as well as in-person reporting.</li></ul>
Minimum Qualifications:<ul><li>
HS Diploma/GED and 15 or more years of experience or AS/AA and 13 or more years or BS/BA and 7 or more years or MS/MA/MBA and 5 or more years or PhD/Doctorate and 3 or more years</li><li>
Experience in developing machine learning models and applying advanced analytics solutions to solve complex business problems.</li><li>
Experience with programming languages including R, Python, Scala, Java, and proficiency with SQL programming. Proficiency with statistical software packages including SAS, SPSS Modeler, R, WEKA, or equivalent.</li><li>
Experience with pattern recognition and extraction, automated classification, and categorization and experience with entity resolution (e.g., record linking, named entity matching, deduplication/ disambiguation).</li><li>
Experience with unsupervised and supervised machine learning techniques and methods and performing data mining, analysis, and training set construction.</li><li>
Experience with supervised machine learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc.</li><li>
Experience with unsupervised machine learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc.</li></ul>
Preferred Qualifications:<ul><li>
Experience constructing and executing queries to extract data in support of EDA and model development.</li><li>
Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, ggplot, Tableau, SAS Visual Analytics, PowerBI).</li><li>
Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop).</li><li>
Master&rsquo;s degree in mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience.</li></ul>
Clearance Requirements:<ul><li>
Must be a U.S. Citizen and be able to obtain and maintain a U.S. Customs and Border Protection (CBP) suitability prior to starting.</li></ul>
Physical Requirements:<ul><li>
The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, which may involve delivering presentations.</li></ul></div>

Data Scientist

CodingcloudInstitute

We are seeking a Data Scientist to turn complex datasets into actionable insights that shape business strategy. You will design predictive models, analyze large-scale data, and collaborate with cross-functional teams to enhance decision-making and product performance.Key ResponsibilitiesCollect, clean, and preprocess large datasets from multiple sources. Build and deploy predictive and prescriptive machine learning models. Analyze data trends and communicate findings to stakeholders. Develop data visualizations and dashboards using tools like Power BI, Tableau, or Python libraries. Collaborate with engineering and product teams to integrate models into production systems. Stay updated on the latest data science tools and techniques. Ability to mange interns also.Job Type: Full-timePay: &#8377;25,000.00 - &#8377;30,000.00 per monthWork Location: In person

atmaal

<div>
 <ul>
 <li>
 
 Data Scientist
 
 </li>
 </ul>
 
 
 
 
 Location: Riyadh, Saudi Arabia (On-site)
 
 
 
 
 
 A Data Scientist is at the forefront of turning data into actionable intelligence through advanced analytics, machine learning, and Gen AI capabilities. They work closely with business stakeholders to solve complex problems, identify trends, and drive strategic decisions through predictive and prescriptive modeling, and other advanced analytics techniques.
 
 
 
 
 <ul>
 <li>
 
 Department
 
 </li>
 </ul>
 
 
 
 
 Digital (Advanced Analytics CoE)
 
 
 
 
 <ul>
 <li>
 
 Years of Experience
 
 </li>
 </ul>
 
 
 
 
 5-10 years of proven experience in Data Science, Machine Learning, or Advanced Analytics &mdash; including hands-on work with cloud-based data platforms, predictive modeling, and visualization tools.
 
 
 
 
 <ul>
 <li>
 
 Key Responsibilities
 
 </li>
 </ul>
 
 &bull; Collaborate with business units to understand strategic objectives and translate them into data science problems and use cases.
 
 
 &bull; Design and develop predictive models such as regression, classification, forecasting, and segmentation to uncover patterns and anticipate future trends.
 
 
 &bull; Leverage prescriptive analytics techniques including optimization algorithms, scenario modeling, and advanced machine learning to recommend actionable strategies.
 
 
 &bull; Apply NLP techniques for use cases like sentiment analysis, text classification, and entity extraction from unstructured data sources.
 
 
 &bull; Conduct exploratory data analysis (EDA) to understand data behavior, identify anomalies, and discover hidden patterns that can drive further analysis.
 
 
 &bull; Utilize Gen AI capabilities for tasks like content summarization, code generation, and automated extraction of meaningful insights from large volumes of text.
 
 
 &bull; Develop and deploy analytical solutions using platforms like Vertex AI for model development, and Power BI for insight visualization, ensuring seamless integration with business workflows.
 
 
 &bull; Communicate complex analytical findings through intuitive visualizations and storytelling techniques that resonate with technical and non-technical audiences.
 
 
 &bull; Continuously validate and refine models to ensure accuracy, reliability, and alignment with evolving business needs.
 
 
 &bull; Document methodologies, model assumptions, and workflows to promote reproducibility and transparency across the data science lifecycle.
 
 
 
 
 
 ⸻
 
 
 
 
 
 Expertise Required
 
 
 &bull; Power BI
 
 
 &bull; BigQuery
 
 
 &bull; Google Cloud Platform (GCP)
 
 
 &bull; Google Cloud Storage
 
 
 &bull; Vertex AI
 
 
 &bull; Python
 
 
 &bull; Strong technical proficiency and business acumen
 
</div>

TriDevSofts

Job Description:Location: Remote Engagement: Contractor (C2C) Experience: 5+ YearsRole Overview: We are seeking an experienced Data Scientist to design, build, and implement data-driven solutions that power business insights. You will work on diverse datasets, build predictive models, and collaborate with stakeholders to translate data into actionable strategies.Key Responsibilities:- Analyze complex datasets to derive actionable insights and recommendations.- Build, validate, and deploy predictive and statistical models (classification, regression, clustering).- Develop ETL and data preparation pipelines to support analytics.- Communicate findings to technical and non-technical audiences.- Collaborate with engineering and business teams to define data requirements.Required Skills:- Strong programming skills in Python and/or R.- Experience with Spark or other distributed computing frameworks.- Expertise in SQL and data manipulation.- Familiarity with TensorFlow/PyTorch or similar ML libraries.- Cloud experience with AWS/GCP/Azure (preferred).- Excellent analytical and problem-solving skillsJob Types: Contractual / Temporary, Freelance Contract length: 6 monthsWork Location: Remote

Allstate Insurance

<div>At Allstate, great things happen when our people work together to protect families and their belongings from life&rsquo;s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers&rsquo; evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.
Job Description
This role is responsible for leading the use of data to make decisions. This includes: the development and execution of new machine learning predictive modeling algorithms, the coding/development of tools that use machine learning/predictive modeling to make business decisions, searching for and integrating new data (both internal and external) that improves our modeling and machine learning results (and ultimately our business decisions), and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling. This role will also begin to manage projects of small to medium complexity.<h3 class="jobSectionHeader">
Key Responsibilities
</h3><ul><li>Collaborates with the team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling
</li><li>Reviews, evaluates and communicates appropriateness of modeling techniques and results to team and leadership to ensure these are well understood and incorporated into business processes
</li><li>Uses best practices, with limited coaching, to develop statistical, machine learning techniques to build models that address business needs and executes on modeling/machine learning projects effectively, contributing to a wide variety of projects
</li><li>Utilizes effective project planning techniques to break down basic and occasionally moderately complex machine learning/predictive modeling and/or development projects into tasks and ensure deadlines are kept
</li><li>Innovates on projects by using new modeling techniques or tools
</li></ul><h3 class="jobSectionHeader">Education
</h3><ul><li>Masters Degree (Preferred)
</li></ul><h3 class="jobSectionHeader">Experience
</h3><ul><li>2 or more years of experience (Preferred)
</li></ul><h3 class="jobSectionHeader">Supervisory Responsibilities
</h3><ul><li>This job does not have supervisory duties.
</li></ul><h3 class="jobSectionHeader">Education &amp; Experience (in lieu)
</h3><ul><li>In lieu of the above education requirements, an equivalent combination of education and experience may be considered.
</li></ul>Primary Skills
Business Case Analyses, Data Analytics, Predictive Analytics, Predictive Modeling, Waterfall Model
Shift Time
Recruiter Info
Annapurna Jha
ajhat@allstate.com
About Allstate
Joining our team isn&rsquo;t just a job &mdash; it&rsquo;s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger &ndash; a winning team making a meaningful impact.
The Allstate Corporation is one of the largest publicly held insurance providers in the United States. Ranked No. 84 in the 2023 Fortune 500 list of the largest United States corporations by total revenue, The Allstate Corporation owns and operates 18 companies in the United States, Canada, Northern Ireland, and India. Allstate India Private Limited, also known as Allstate India, is a subsidiary of The Allstate Corporation. The India talent center was set up in 2012 and operates under the corporation's Good Hands promise. As it innovates operations and technology, Allstate India has evolved beyond its technology functions to be the critical strategic business services arm of the corporation. With offices in Bengaluru and Pune, the company offers expertise to the parent organization&rsquo;s business areas including technology and innovation, accounting and imaging services, policy administration, transformation solution design and support services, transformation of property liability service design, global operations and integration, and training and transition.
Learn more about Allstate India here.</div>

Data Scientist Consultant II

Alghanim INDUSTRIES

Date: 5 Nov 2025
 
Location: 
KW
 
Company: 
Alghanim Industries
 
Job Summary
 Insight generation by building data mining and statistical models to support C ustomer V alue M anagement (CVM) and Loyalty Program s by translating model outputs into actionable insights for business units Job Responsibilities
 Data Mining & Advanced Analytics model development
 
Actively use built-in data analytics models on CDP, including customer segmentation, churn prediction, propensity modelling and next-best activity; continuous update and adjustment of model parameters and performance tracking of the models on CDP
 
Build advanced predictive analytics models offline by using programming languages such as R, Python, SQL and implement those models to CDP to generate them; score the model in other tools and integrate the results to CDP if the model is too complex to be generated on CDP; leveraging infrastructure including Cloud computing solutions and relational database environments
 
Stay on top of changing conditions by retraining and testing the model regularly; enhance it whenever necessary
 
Monitor models’ accuracy to catch any degradation in its performance over time
 
Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand user interactions
 
Insight generation
 
Actively seek and identify where data science can provide value to business areas across the BUs, provide solutions to BUs analytical problems and validate the solution performance
 
Generate actionable insights and predictive modeling techniques to modify consumer behavior
 
Reporting
 
Active use of built-in reporting tools on CDP; day to day report generation and maintenance using BI tools and be involved in any new tool selection and deployment
 
Engage with stakeholders to ensure that data insights are effectively communicated through the most appropriate data visualization and navigation tools
 
Candidate Requirements • Background in Applied Math, Statistics, Physics, Engineering, or Computer Science; Advanced degree strongly preferred
 
<ul>
<li>3+ years of experience with data science and statistical analysis in a business, marketing</li>
<li>Examples of domain expertise of interest are: predictive modeling, churn analysis, time series forecasting, computer vision, text mining, recommender systems, market basket analysis, segmentation, graph analytics with strong programming skills in Python or R</li>
<li>Experience with dashboard and reporting tools such as Tableau and Qlik</li>
<li>Ability to explain and discuss mathematical and machine learning technicalities to a business audience</li>
</ul>

Accenture

Project Role : Analytics Practitioner 
Project Role Description : Develop business insights using predictive statistical modeling activities. Use analytical tools and techniques to generate and improve decision-making by modeling client, market, and key performance data.
 
Must have skills : AWS Application Integration 
Good to have skills : Python (Programming Language) 
Minimum 3 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
Summary: As an Analytics Practitioner, you will engage in developing business insights through predictive statistical modeling activities. Your typical day will involve utilizing various analytical tools and techniques to enhance decision-making processes by modeling client, market, and key performance data, ultimately contributing to the organization's strategic objectives and operational efficiency. Roles &amp; Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Analyze complex datasets to extract actionable insights that drive business strategies. - Collaborate with cross-functional teams to ensure alignment on analytical initiatives and objectives. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in AWS Application Integration. - Good To Have Skills: Experience with Python (Programming Language). - Strong understanding of data integration and application development within the AWS ecosystem. - Experience in utilizing analytical tools for data visualization and reporting. - Familiarity with statistical modeling techniques and their application in business contexts. Additional Information: - The candidate should have minimum 3 years of experience in AWS Application Integration. - This position is based at our Bengaluru office. - A 15 years full time education is required.
 
15 years full time education

Analytics Practitioner

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