analytical data scientist

Pentangle Tech Services | P5 Group

<div>
 
 
 Job Title: Data Scientist
 
 
 
 
 Engagement Type:
 
 
 (Long Term Contract)
 
 
 
 
 Onsite Requirement:
 
 Raleigh, NC &ndash; 3 days/week
 
 
 
 Start Date:
 
 ASAP
 
 
 
 
 
 
 Role Summary
 
 
 
 We are seeking a
 
 hands-on Data Scientist
 
 , with potential extension based on budget and performance. This role focuses on developing
 
 analytics and machine learning solutions
 
 using large, complex datasets.
 
 
 The ideal candidate will work closely with engineering and product teams to deliver
 
 production-ready models and actionable insights
 
 . Experience in
 
 utility/energy data
 
 or
 
 demography
 
 is highly preferred.
 
 
 
 Key Objectives
 
 
 <ul>
 <li>
 Analyze large datasets to identify patterns, trends, and anomalies
 </li>
 <li>
 Develop and validate statistical and machine learning models
 </li>
 <li>
 Deliver insights to support product, operational, and engineering decisions
 </li>
 <li>
 Collaborate with engineering teams for model deployment and operationalization
 </li>
 <li>
 Work under guidance of a senior PhD-level Data Scientist
 </li>
 <li>
 Provide clear documentation and knowledge transfer
 </li>
 </ul>
 
 
 
 
 
 Core Responsibilities
 
 
 <ul>
 <li>
 Perform data exploration, cleaning, and feature engineering
 </li>
 <li>
 Build and evaluate models (regression, classification, clustering, anomaly detection, time series)
 </li>
 <li>
 Design and analyze experiments as needed
 </li>
 <li>
 Translate business problems into analytical solutions
 </li>
 <li>
 Communicate insights to both technical and non-technical stakeholders
 </li>
 <li>
 Follow best practices (version control, documentation, reproducibility)
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 Strong experience in data science or advanced analytics roles
 </li>
 <li>
 Proficiency in
 
 Python
 
 (pandas, NumPy, scikit-learn or equivalent)
 </li>
 <li>
 Solid understanding of
 
 statistics and machine learning fundamentals
 
 </li>
 <li>
 Experience with
 
 SQL and structured datasets
 
 </li>
 <li>
 Ability to work independently and ramp up quickly in a contract environment
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with
 
 utility, energy, or industrial data
 
 (electric, gas, water, AMI, IoT)
 </li>
 <li>
 
 OR
 
 demography-related datasets
 </li>
 <li>
 Experience with
 
 time series analysis and anomaly detection
 
 </li>
 <li>
 Exposure to
 
 big data platforms
 
 (Spark, Databricks, cloud platforms)
 </li>
 <li>
 Experience deploying or supporting models in production environments
 </li>
 </ul>
</div>

Data Scientist

Uretero Communications & IT

Job Title: Data ScientistJoin BigDev Company Technologies as a Data ScientistAre you passionate about turning data into meaningful insights and building intelligent systems that solve real-world problems? At BigDev Company Technologies, we&rsquo;re growing fast and looking for a Data Scientist to help us design, analyze, and deploy impactful data solutions.This is an exciting opportunity to work on modern data stacks, collaborate with cross-functional teams, and contribute to high-impact projects in a supportive and innovation-driven environment.What You&rsquo;ll Do<ul><li>Analyze large datasets to extract actionable insights and trends</li><li>Build, test, and deploy machine learning models</li><li>Develop data pipelines and automate data processing workflows</li><li>Collaborate with engineers, product managers, and stakeholders</li><li>Create dashboards and visualizations using tools like Power BI or Tableau</li><li>Optimize algorithms and improve model performance</li><li>Present findings clearly to technical and non-technical audiences</li></ul>What We&rsquo;re Looking For<ul><li>Experience in data science, machine learning, or a related field</li><li>Strong knowledge of Python, SQL, and data analysis libraries (Pandas, NumPy, Scikit-learn)</li><li>Familiarity with machine learning frameworks (TensorFlow, PyTorch is a plus)</li><li>Experience with data visualization tools (Power BI, Tableau, or similar)</li><li>Understanding of statistics, data modeling, and predictive analytics</li><li>Strong problem-solving and analytical thinking skills</li><li>Ability to work independently and in a team environment</li></ul>Nice to Have (Not Required)<ul><li>Experience with cloud platforms (AWS, Azure, or GCP)</li><li>Knowledge of big data tools (Spark, Hadoop)</li><li>Prior experience in production-level ML deployment</li></ul>About the CompanyBigDev Company Technologies is a growing technology company focused on building scalable software, AI-driven solutions, and data-powered products for clients across multiple industries. We combine innovation, collaboration, and technical excellence to deliver real impact.Why Work With Us<ul><li>Work on meaningful, real-world data projects</li><li>Supportive and collaborative team culture</li><li>Opportunities for learning, growth, and career advancement</li><li>Exposure to modern tools and technologies</li></ul>Apply NowReady to take the next step in your data science career? Apply today and join a team where your work truly makes an impact.Job Type: Full-timePay: KD1,800.000 - KD2,000.000 per monthWork Location: In person

Majid Al Futtaim

<div>
 
 JOB TITLE
 
 
 
 Data Scientist | Majid Al Futtaim Customer Solutions | Emirati Talent
 
 
 
 Role Summary
 
 
 
 The Data Scientist will support analytics and data science initiatives across Customer Solutions use cases such as personalization, marketing effectiveness, and fintech/fraud. The role involves data preparation, analysis, feature engineering, experimentation, and supporting ML models in production. Working closely with senior data scientists and cross‑functional teams, the role contributes to customer‑focused, commercially driven data solutions.
 
 
 
 ROLE PROFILE
 
 
 
 <ul>
 <li>
 Support analytics and data science initiatives across Customer Solutions use cases including personalization, marketing effectiveness, and fintech/fraud
 </li>
 <li>
 Perform data preparation, exploratory analysis, and feature engineering using Python and SQL
 </li>
 <li>
 Continuously learn modern data science tools, techniques, and best practices while supporting customer‑focused solutions
 </li>
 <li>
 Support monitoring, reporting, and performance tracking of models and experiments in production
 </li>
 <li>
 Work closely with senior data scientists to document workflows, models, and analytical outputs
 </li>
 <li>
 Collaborate with Product, Engineering, and Data Engineering teams to understand data and business requirements
 </li>
 <li>
 Contribute to A/B testing design, analysis, and interpretation of results
 </li>
 <li>
 Assist in building, testing, and evaluating machine learning and analytical models
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Degree in computer science, mathematics, statistics, economics, or a related technical discipline
 </li>
 <li>
 1&ndash;3 years of experience in data analytics, data science, or a related analytical role, with strong fresh graduates considered
 </li>
 <li>
 Strong foundation in Python for data analysis and SQL for querying and analysing datasets
 </li>
 <li>
 Ability to analyse data, generate insights, and communicate findings clearly to stakeholders
 </li>
 <li>
 Basic understanding of statistics, machine learning concepts, and analytical techniques
 </li>
 <li>
 Exposure or willingness to learn tools and concepts such as ML libraries, experimentation, cloud platforms, or data visualization
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 At Majid Al Futtaim, we&rsquo;re on a mission to create great moments, to spread happiness, to build, experiences that stay in our memories for a lifetime. We&rsquo;re proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us!
 </li>
 <li>
 Work in a friendly environment, where everyone shares positive vibes and excited about our future.
 </li>
 <li>
 Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.
 </li>
 </ul>
</div>

Data Scientist | Emirati Talent

MedReview Inc.

<div>
 
 
 
 
 
 
 
 
 
 
 
 
 
 Position Summary:&nbsp;
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 MedReview is looking for a talented and experienced&nbsp;
 
 Data Scientist
 
 &nbsp;to join our dynamic team. As a part of our team, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our organization. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems. As part of a global team of developers and analysts, the Data Scientist will work with a larger team to design, build, validate, refine, and operationalize models.&nbsp;
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 This position will sit in Austin, Texas. However, for the right fit, we may consider remote
 
 .&nbsp;
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 
 
 
 
 
 
 Problem Identification:
 
 
 
 
 
 
 
 
 
 &nbsp;Collaborate with stakeholders to identify business challenges that can be solved through data analysis.
 
 
 
 
 
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 
 
 
 
 
 
 Data Collection &amp; Preparation:
 
 
 
 
 
 
 
 
 
 &nbsp;Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it to ensure accuracy for modeling.
 
 
 
 
 
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 
 
 
 
 
 
 Model Development:
 
 
 
 
 
 
 
 
 
 &nbsp;Design and implement algorithms and predictive models using machine learning techniques to forecast outcomes or categorize information.
 
 
 
 
 
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 
 
 
 
 
 
 Exploratory Data Analysis (EDA):
 
 
 
 
 
 
 
 
 
 &nbsp;Analyze datasets to uncover hidden patterns, trends, and anomalies.
 
 
 
 
 
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 
 
 
 
 
 
 Communication &amp; Visualization:
 
 
 
 
 
 
 
 
 
 &nbsp;Translate technical findings into "data stories" using tools like&nbsp;Tableau&nbsp;or&nbsp;Power BI&nbsp;to influence executive decisions.&nbsp;
 
 
 
 
 
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 Qualifications:&nbsp;
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 
 
 
 
 Master&rsquo;s degree or bachelors degree and equivalent experience in a quantitative field (Math, CS, Stats)
 
 
 
 
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 
 
 
 
 
 
 Programming:
 
 
 
 
 
 
 
 
 
 &nbsp;Proficiency in&nbsp;Python&nbsp;or&nbsp;R&nbsp; along with&nbsp;SQL&nbsp;for database querying.
 
 
 
 
 
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 
 
 
 
 
 
 Mathematics &amp; Statistics:
 
 
 
 
 
 
 
 
 
 &nbsp;Strong foundation in linear algebra, calculus, and statistical modeling.
 
 
 
 
 
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 
 
 
 
 
 
 Machine Learning:
 
 
 
 
 
 
 
 
 
 &nbsp;Experience with frameworks like&nbsp;TensorFlow,&nbsp;PyTorch, or&nbsp;scikit-learn.
 
 
 
 
 
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Soft Skills:
 
 
 
 
 
 
 
 
 
 &nbsp;Critical thinking, curiosity, and the ability to explain complex concepts to non-technical audiences.&nbsp;Experience working with global and remote teams
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
</div>

MedReview

<div>Position Summary: 
MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a part of our team, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our organization. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems. As part of a global team of developers and analysts, the Data Scientist will work with a larger team to design, build, validate, refine, and operationalize models. This position will sit in Austin, Texas. However, for the right fit, we may consider remote. 
 
Responsibilities:<ul><li>
Problem Identification: Collaborate with stakeholders to identify business challenges that can be solved through data analysis.</li><li>
Data Collection &amp; Preparation: Gather data from various sources (SQL databases, APIs, web scraping), then clean and &quot;wrangle&quot; it to ensure accuracy for modeling.</li><li>
Model Development: Design and implement algorithms and predictive models using machine learning techniques to forecast outcomes or categorize information.</li><li>
Exploratory Data Analysis (EDA): Analyze datasets to uncover hidden patterns, trends, and anomalies.</li><li>
Communication &amp; Visualization: Translate technical findings into &quot;data stories&quot; using tools like Tableau or Power BI to influence executive decisions.</li></ul>
Qualifications:<ul><li>
Master&rsquo;s degree or bachelors degree and equivalent experience in a quantitative field (Math, CS, Stats)</li><li>
Programming: Proficiency in Python or R along with SQL for database querying.</li><li>
Mathematics &amp; Statistics: Strong foundation in linear algebra, calculus, and statistical modeling.</li><li>
Machine Learning: Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.</li></ul><div>
Soft Skills: Critical thinking, curiosity, and the ability to explain complex concepts to non-technical audiences. Experience working with global and remote teams</div>
WlyC1tysjt</div>

Cushman & Wakefield

<div>Job Title
Data Scientist
Job Description Summary
Job Description
We are building an Advisory Intelligence capability that applies advanced analytics, econometrics, and AI to some of the most complex questions in commercial real estate and investment advisory, market risk, pricing dynamics, liquidity, valuation context, and capital allocation.
We are looking for a Junior Data Scientist with a strong quantitative foundation (Master&rsquo;s level) and experience in analytical problem-solving environments, such as large consulting firms or investment-focused teams. This is a role for someone who enjoys structured thinking, experimentation, and rapid hypothesis testing, and wants to work on problems where data, economics, and judgment intersect.
This is not a reporting or dashboarding role. The work is exploratory by design: testing ideas, building proof-of-concept models, and experimenting with advanced techniques, including econometrics, machine learning, and emerging AI approaches, to shape how advisory insights are generated and delivered.
What You&rsquo;ll Actually Do<ul><li>Work on ambiguous, high-impact problems at the intersection of real estate markets, investment behavior, and socio-economic forces</li><li>Build analytical and AI-driven PoCs that explore new ways to assess market conditions, risk, and opportunity</li><li>Apply econometric and statistical techniques beyond basic regression, including time-series, panel data, probabilistic, and clustering methods</li><li>Experiment with machine learning, generative AI, and agentic AI to augment research, analysis, and decision-making</li><li>Use platforms such as Databricks to explore and model complex datasets in an analytical environment</li><li>Translate quantitative work into clear insights and implications for senior advisors and leadership</li></ul>
-
Key Responsibilities
Analytical Modeling &amp; Econometrics<ul><li>Develop and test statistical and econometric models to analyze CRE market behavior, pricing dynamics, risk factors, and investment conditions</li><li>Apply a range of techniques beyond regression, including:</li></ul>
o Time-series analysis
o Panel and longitudinal data modeling
o Probabilistic and distribution-based methods
o Dimensionality reduction and clustering techniques<ul><li>Evaluate model assumptions, limitations, and sensitivity to changing inputs</li><li>Support scenario analysis and exploratory stress testing for advisory use cases</li></ul>
AI &amp; Advanced Analytics (Experimental Focus)<ul><li>Build and evaluate machine learning and AI-based PoCs applied to CRE-specific problems (e.g., market condition scoring, liquidity risk, valuation dispersion)</li><li>Support experimentation with generative AI and large language models (LLMs) for research synthesis, insight generation, and analytical augmentation</li><li>Contribute to early implementations of agentic AI, including multi-step analytical workflows, tool-using agents, and human-in-the-loop systems</li><li>Help assess where AI adds decision value versus where traditional statistical approaches are more appropriate</li></ul>
Socio-Economic &amp; Market Context Modeling<ul><li>Incorporate socio-economic, demographic, labor, income, education, and other external indicators into market-level and submarket-level analyses</li><li>Support spatial and place-based analysis to contextualize asset and market performance</li><li>Connect macroeconomic and local indicators to CRE outcomes in a structured, explainable way</li></ul>
Data Exploration &amp; PoC Enablement<ul><li>Perform targeted data collection, cleaning, and integration as required for specific PoCs</li><li>Work with internal and third-party data sources in analytical environments such as Databricks</li><li>Collaborate with data engineering and platform teams when PoCs move toward scaling</li><li>Clearly document analytical approaches, assumptions, and findings to support knowledge transfer</li></ul>
Advisory &amp; Stakeholder Collaboration<ul><li>Translate analytical outputs into clear insights, signals, and implications for advisory and investment-focused audiences</li><li>Collaborate with senior advisors, product leaders, and researchers to refine problem statements and analytical direction</li><li>Communicate findings in a structured, concise manner appropriate for executive and client-facing contexts</li></ul>
Who This Is For<ul><li>Hold a Master&rsquo;s degree in Data Science, Mathematics, Econometrics, Statistics, Economics, Engineering, or a closely related quantitative field</li><li>Have 1&ndash;3 years of experience in consulting, investment finance, or CRE advisory/research</li><li>Enjoy problem-solving and experimentation more than maintaining production pipelines</li><li>Are comfortable moving between theory and application</li><li>Have strong proficiency in Python for data analysis and modeling</li><li>Have solid foundation in statistical modeling and quantitative reasoning</li><li>Are intellectually curious, structured in your thinking, and comfortable working in uncertain problem spaces</li></ul>
Preferred Qualifications<ul><li>Applied experience with econometric or advanced statistical techniques beyond basic regression</li><li>Exposure to commercial real estate, investment analysis, or market research workflows</li><li>Familiarity with Databricks or similar analytical data platforms</li><li>Experience working with socio-economic or macroeconomic datasets</li><li>Exposure to machine learning, generative AI, or LLM-based applications</li><li>Hands-on experience (professional or academic) with agentic AI or autonomous analytical workflows</li><li>Experience building proofs of concept rather than only production systems</li><li>Familiarity with data visualization tools (Tableau, Power BI, or Python libraries)</li></ul>
What Success Looks Like<ul><li>High-quality analytical PoCs that help the business evaluate new ideas, signals, and decision frameworks</li><li>Clear articulation of what was tested, what was learned, and what should happen next</li><li>Thoughtful application of quantitative methods aligned to advisory and investment questions</li><li>Increasing independence in analytical exploration and model development</li><li>Growing contribution to AI-enabled insights and future data products within Advisory Intelligence</li></ul> 

Cushman &amp; Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements. 

The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate&rsquo;s experience and qualifications. 

The company will not pay less than minimum wage for this role. 

The compensation for the position is: $ 72,165.00 - $84,900.00
Cushman &amp; Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.
In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman &amp; Wakefield, please call the ADA line at 1-888-365-5406 or email Accommodations@cushwake.com. Please refer to the job title and job location when you contact us.
INCO: &ldquo;Cushman &amp; Wakefield&rdquo;</div>

KDA CONSULTING INC

<div>
 KDA Consulting Inc. is seeking a highly skilled
 
 Data Scientist with AI/ML expertise
 
 to support mission-critical programs within the Intelligence Community (IC). This role will focus on leveraging advanced analytics, machine learning, and artificial intelligence to extract insights from large, complex datasets and support data-driven decision-making.
 
 
 The ideal candidate will have a strong foundation in
 
 statistical analysis, machine learning model development, and data visualization
 
 , along with the ability to translate complex findings into actionable insights for both technical and non-technical stakeholders.
 
 
 
 Machine Learning &amp; AI Development
 
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning models to solve complex mission problems
 </li>
 <li>
 Build predictive and prescriptive analytics solutions to support operational and strategic decision-making
 </li>
 <li>
 Evaluate model performance and continuously improve algorithms through testing and tuning
 
 
 </li>
 </ul>
 
 Data Analysis &amp; Exploration
 
 
 
 <ul>
 <li>
 Analyze large, structured and unstructured datasets to identify trends, patterns, and anomalies
 </li>
 <li>
 Perform data cleansing, feature engineering, and transformation to prepare data for modeling
 </li>
 <li>
 Apply statistical techniques to validate hypotheses and support analytical findings
 
 
 </li>
 </ul>
 
 Data Visualization &amp; Communication
 
 
 
 <ul>
 <li>
 Develop dashboards, visualizations, and reports using tools such as Tableau, Power BI, or Python visualization libraries
 </li>
 <li>
 Communicate insights and recommendations clearly to both technical teams and senior leadership
 </li>
 <li>
 Translate complex analytical results into actionable business or mission outcomes
 
 
 </li>
 </ul>
 
 Model Deployment &amp; Integration
 
 
 
 <ul>
 <li>
 Collaborate with data engineers and software developers to operationalize models into production environments
 </li>
 <li>
 Integrate machine learning solutions into enterprise systems and workflows
 </li>
 <li>
 Support cloud-based model deployment in environments such as AWS or Azure
 
 
 </li>
 </ul>
 
 Collaboration &amp; Agile Delivery
 
 
 
 <ul>
 <li>
 Work closely with cross-functional teams including engineers, analysts, and mission stakeholders
 </li>
 <li>
 Participate in Agile processes including sprint planning, stand-ups, and retrospectives
 </li>
 <li>
 Contribute to continuous improvement of data science methodologies and processes
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Active TS/SCI W/ Polygraph Required.
 
 
 Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience)
 
 
 Strong experience in
 
 data science, machine learning, and statistical analysis
 
 
 
 Proficiency in
 
 Python
 
 and experience with ML frameworks such as
 
 TensorFlow, PyTorch, or Scikit-learn
 
 
 
 Experience analyzing and working with
 
 large-scale datasets
 
 
 
 Strong understanding of statistical modeling, probability, and data analysis techniques
 
 
 Experience with
 
 data visualization tools
 
 and communicating insights effectively
 
 
 Strong problem-solving skills and ability to work in complex, mission-driven environments
</div>

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