analytical data scientist

DatascienceME

About the RoleWe are looking for a Data Scientist to analyze large datasets and build data-driven solutions that drive business decisions at Datascience. You will use machine learning, statistical analysis, and visualization techniques to uncover insights and improve our operations.Key Responsibilities<ul><li>Identify valuable data sources and automate data collection.</li><li>Clean, preprocess, and analyze structured and unstructured data.</li><li>Build predictive models and machine learning algorithms.</li><li>Visualize results using modern BI tools and dashboards.</li><li>Collaborate with cross-functional teams to translate data into actionable insights.</li><li>Recommend strategies to solve complex business problems.</li></ul>Requirements<ul><li>Proven experience as a Data Scientist or similar role.</li><li>Strong skills in Python, R, and SQL; familiarity with Scala, Java, or C++ is a plus.</li><li>Hands-on experience with machine learning, data mining, and statistical modeling.</li><li>Knowledge of Tableau, Power BI, or similar visualization tools.</li><li>Excellent analytical, problem-solving, and communication skills.</li><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or related field (Master&rsquo;s preferred).</li></ul>Why Join Us<ul><li>Work on real-world AI and data challenges.</li><li>Collaborative, innovative work environment.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Are you a Saudi national?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>

Data Scientist

Astek

<div>
 
 For one of our client I'm looking for a
 
 Data Scientist
 
 . We are on the lookout for a highly skilled individual with a passion for leveraging data to drive evidence-based decision-making.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 
 Design and Implement ML Models
 
 : Develop machine learning algorithms to tackle complex challenges and improve efficiency.
 </li>
 <li>
 
 Data Analysis
 
 : Analyze data to gather insights that drive strategic decisions.
 </li>
 <li>
 
 Stakeholder Collaboration
 
 : Work with various stakeholders to grasp business requirements and design appropriate data solutions.
 </li>
 <li>
 
 Data Pipeline Maintenance
 
 : Ensure data integrity and availability by developing and maintaining pipelines and databases.
 </li>
 <li>
 
 Data Visualization
 
 : Use Power BI to create visualizations and dashboards that communicate findings effectively to diverse audiences.
 </li>
 <li>
 
 Statistical Validation
 
 : Conduct statistical analyses to validate the outputs of machine learning models.
 </li>
 <li>
 
 Industry Awareness
 
 : Keep up with industry trends and emerging technologies to enhance data capabilities.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 
 Education
 
 : Requires a bachelor&rsquo;s degree in IT, Computer Science, Data Science, or a related field.
 </li>
 <li>
 
 Experience
 
 : Proven experience as a Data Scientist, ideally within the healthcare sector.
 </li>
 <li>
 
 Technical Skills
 
 :
 </li>
 </ul>
 
 Proficiency in
 
 Python
 
 and
 
 SQL
 
 .
 
 
 Expertise in data visualization (notably
 
 Power BI
 
 ).
 
 <ul>
 <li>
 
 Machine Learning Knowledge
 
 : A solid understanding of machine learning concepts and algorithms.
 </li>
 <li>
 
 Analytical Skills
 
 : Strong analytical and problem-solving abilities.
 </li>
 <li>
 
 Communication Skills
 
 : Ability to communicate and collaborate effectively.
 </li>
 </ul>
 
 
</div>

DYWIDAG

<div>
 Purpose of the Job
 
 
 We are seeking a highly skilled and motivated Data Scientist to join our team. The ideal candidate will have 2&ndash;3 years of hands-on experience as a data scientist in a business environment, supporting multiple departments and functions with predictive analytics and rapid development of minimal viable products (MVPs). A strong emphasis is placed on experience with pricing engines and sales forecasting solutions. You will be responsible for analyzing large datasets, building predictive models, and enabling data-driven decision-making across the organization.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Collect, clean, and preprocess structured and unstructured data from diverse sources.
 </li>
 <li>
 Develop, implement, and optimize statistical models, machine learning algorithms, and data mining techniques.
 </li>
 <li>
 Rapidly prototype and deliver MVPs to address business needs, especially in pricing and sales forecasting.
 </li>
 <li>
 Collaborate with the Global BI Team and cross-functional stakeholders to understand requirements and translate them into actionable analytical solutions.
 </li>
 <li>
 Support various departments (e.g., Sales, Finance, Operations) with tailored predictive models and insights.
 </li>
 <li>
 Visualize data insights using dashboards and reports, primarily with Power BI.
 </li>
 <li>
 Clearly communicate findings and recommendations to stakeholders through presentations and documentation.
 </li>
 <li>
 Continuously improve data quality, analytical processes, and model performance.
 </li>
 <li>
 Stay current with the latest trends and technologies in data science, machine learning, and AI.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
 </li>
 <li>
 2&ndash;3 years of proven experience as a data scientist in a business setting, supporting multiple departments/functions.
 </li>
 <li>
 Demonstrated expertise in developing predictive models for pricing engines and sales forecasting.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, or SQL.
 </li>
 <li>
 Experience with data visualization tools, especially Power BI.
 </li>
 <li>
 Familiarity with Microsoft Azure cloud platforms is preferred.
 </li>
 <li>
 Strong problem-solving skills and attention to detail.
 </li>
 <li>
 Excellent communication and collaboration abilities.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with big data technologies (e.g., Azure Data Factory, Synapse, Spark, Hadoop).
 </li>
 <li>
 Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch).
 </li>
 <li>
 Industry experience in Construction is preferred; experience in Manufacturing or Engineering-related Big Data is also relevant.
 </li>
 </ul>
</div>

dywidag

<div>Purpose of the Job

We are seeking a highly skilled and motivated Data Scientist to join our team. The ideal candidate will have 2&ndash;3 years of hands-on experience as a data scientist in a business environment, supporting multiple departments and functions with predictive analytics and rapid development of minimal viable products (MVPs). A strong emphasis is placed on experience with pricing engines and sales forecasting solutions. You will be responsible for analyzing large datasets, building predictive models, and enabling data-driven decision-making across the organization. 
Key Responsibilities:
<ul>
<li>Collect, clean, and preprocess structured and unstructured data from diverse sources.</li>
<li>Develop, implement, and optimize statistical models, machine learning algorithms, and data mining techniques.</li>
<li>Rapidly prototype and deliver MVPs to address business needs, especially in pricing and sales forecasting.</li>
<li>Collaborate with the Global BI Team and cross-functional stakeholders to understand requirements and translate them into actionable analytical solutions.</li>
<li>Support various departments (e.g., Sales, Finance, Operations) with tailored predictive models and insights.</li>
<li>Visualize data insights using dashboards and reports, primarily with Power BI.</li>
<li>Clearly communicate findings and recommendations to stakeholders through presentations and documentation.</li>
<li>Continuously improve data quality, analytical processes, and model performance.</li>
<li>Stay current with the latest trends and technologies in data science, machine learning, and AI.</li></ul> 


Required Qualifications:
<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.</li>
<li>2&ndash;3 years of proven experience as a data scientist in a business setting, supporting multiple departments/functions.</li>
<li>Demonstrated expertise in developing predictive models for pricing engines and sales forecasting.</li>
<li>Proficiency in programming languages such as Python, R, or SQL.</li>
<li>Experience with data visualization tools, especially Power BI.</li>
<li>Familiarity with Microsoft Azure cloud platforms is preferred.</li>
<li>Strong problem-solving skills and attention to detail.</li>
<li>Excellent communication and collaboration abilities.</li></ul> 


Preferred Qualifications:
<ul>
<li>Experience with big data technologies (e.g., Azure Data Factory, Synapse, Spark, Hadoop).</li>
<li>Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch).</li>
<li>Industry experience in Construction is preferred; experience in Manufacturing or Engineering-related Big Data is also relevant.</li></ul></div>

DYWIDAG-Systems International GmbH

<div>Purpose of the Job
We are seeking a highly skilled and motivated Data Scientist to join our team. The ideal candidate will have 2&ndash;3 years of hands-on experience as a data scientist in a business environment, supporting multiple departments and functions with predictive analytics and rapid development of minimal viable products (MVPs). A strong emphasis is placed on experience with pricing engines and sales forecasting solutions. You will be responsible for analyzing large datasets, building predictive models, and enabling data-driven decision-making across the organization. 
 
Key Responsibilities:
<ul><li>Collect, clean, and preprocess structured and unstructured data from diverse sources.
</li><li>Develop, implement, and optimize statistical models, machine learning algorithms, and data mining techniques.
</li><li>Rapidly prototype and deliver MVPs to address business needs, especially in pricing and sales forecasting.
</li><li>Collaborate with the Global BI Team and cross-functional stakeholders to understand requirements and translate them into actionable analytical solutions.
</li><li>Support various departments (e.g., Sales, Finance, Operations) with tailored predictive models and insights.
</li><li>Visualize data insights using dashboards and reports, primarily with Power BI.
</li><li>Clearly communicate findings and recommendations to stakeholders through presentations and documentation.
</li><li>Continuously improve data quality, analytical processes, and model performance.
</li>Stay current with the latest trends and technologies in data science, machine learning, and AI. 
<li>
</li></ul>Required Qualifications:
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
</li><li>2&ndash;3 years of proven experience as a data scientist in a business setting, supporting multiple departments/functions.
</li><li>Demonstrated expertise in developing predictive models for pricing engines and sales forecasting.
</li><li>Proficiency in programming languages such as Python, R, or SQL.
</li><li>Experience with data visualization tools, especially Power BI.
</li><li>Familiarity with Microsoft Azure cloud platforms is preferred.
</li><li>Strong problem-solving skills and attention to detail.
</li>Excellent communication and collaboration abilities. 
<li>
</li></ul>Preferred Qualifications:
<ul><li>Experience with big data technologies (e.g., Azure Data Factory, Synapse, Spark, Hadoop).
</li><li>Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch).
</li><li>Industry experience in Construction is preferred; experience in Manufacturing or Engineering-related Big Data is also relevant.</li></ul></div>

dollop infotech

Data Scientist &ndash; 2+ Years Experience (AI &amp; Data Analysis Focus)Job Title: Data Scientist Experience: 2 &ndash; 3 Years Location: Indore, India (On-Site) Company: Dollop Infotech Pvt. Ltd. Salary: &#8377;25,000 &ndash; &#8377;40,000/month (Based on skills and experience)About Dollop Infotech Pvt. Ltd:Dollop Infotech is a trusted IT solutions company with over a decade of experience delivering impactful software, web, and data-driven solutions to global clients. We emphasize innovation, technical excellence, and client satisfaction. Our team thrives on creativity, precision, and a collaborative culture that encourages continuous learning and growth.Role Overview:We are seeking a skilled and analytical Data Scientist with 2+ years of hands-on experience in building, training, and deploying machine learning models and performing data analysis. The ideal candidate should have strong problem-solving abilities, statistical knowledge, and experience working with data visualization tools and Python-based data science frameworks. Experience in training or mentoring interns in data science or analytics will be considered a strong advantage.Key Responsibilities:<ul><li>Collect, clean, and preprocess structured and unstructured data for analysis.</li><li>Design and develop predictive models using statistical and machine learning techniques.</li><li>Analyze datasets to uncover insights, trends, and patterns to support business decisions.</li><li>Build data visualizations and dashboards using Power BI, Tableau, or Python libraries (Matplotlib/Seaborn/Plotly).</li><li>Collaborate with software engineers and stakeholders to integrate ML models into production systems.</li><li>Train and guide interns or junior team members on real-world data projects.</li><li>Stay up to date with the latest advancements in AI, ML, and data science technologies.</li><li>Present findings and insights to non-technical stakeholders in a clear and concise manner.</li></ul>Required Skills:<ul><li>2+ years of proven experience as a Data Scientist or Data Analyst in a professional environment.</li><li>Proficiency in Python, including libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.</li><li>Strong knowledge of statistics, probability, and data modeling concepts.</li><li>Experience with data visualization and dashboarding tools (Power BI, Tableau, or Python-based tools).</li><li>Familiarity with SQL and working with relational databases.</li><li>Experience in data preprocessing, feature engineering, and model evaluation.</li><li>Understanding of machine learning algorithms (Regression, Classification, Clustering, etc.).</li><li>Strong analytical and critical-thinking skills with attention to detail.</li><li>Excellent communication and presentation skills.</li></ul>Bonus Points For:<ul><li>Experience with deep learning or NLP frameworks (Keras, Hugging Face, OpenAI API, etc.).</li><li>Knowledge of Big Data tools like Hadoop, Spark, or Databricks.</li><li>Exposure to cloud platforms (AWS, Azure, or Google Cloud) for data storage and ML deployment.</li><li>Experience using Jupyter Notebooks, Git, and version control systems.</li><li>Prior experience mentoring or training data science interns.</li><li>Understanding of business intelligence, KPIs, and data-driven decision-making.</li></ul>Why Join Us?<ul><li>Opportunity to work on diverse real-world data science projects.</li><li>Exposure to AI/ML model development and deployment workflows.</li><li>Chance to train and lead data interns under expert guidance.</li><li>Supportive, innovation-driven environment that values learning.</li><li>Competitive salary with performance-based increments.</li><li>Stable and long-term career growth in a reputed IT company.</li></ul>How to Apply:Send your resume + project portfolio/GitHub profile to: hr@dollopinfotech.com Call/WhatsApp: 9009600448Job Types: Full-time, PermanentPay: &#8377;30,000.00 - &#8377;50,000.00 per monthWork Location: In person

NorthBay Solutions

<div><h3 class="jobSectionHeader">Job Title: Data Scientist</h3>
Location: Lahore<h4 class="jobSectionHeader">
Job Type: Full-time, (Hybrid)</h4><h3 class="jobSectionHeader">
Job Description:</h3>
NorthBay is seeking a skilled Data Scientist with 4+ years of professional experience to join our team. The ideal candidate will have hands-on experience in data processing, visualization, and structuring, along with practical exposure to Large Language Models (LLMs) and agentic AI systems. You will work on designing intelligent data workflows, integrating AI models, and developing predictive analytics to support business decision-making. Strong analytical, problem-solving, and communication skills are essential, as the role involves close collaboration with cross-functional stakeholders.<h2 class="jobSectionHeader">
Key Responsibilities:</h2><ul><li>
Design, implement, and optimize LLM-powered features and agentic AI workflows.</li><li>
Develop and maintain data pipelines for extracting, structuring, and processing large datasets.</li><li>
Integrate LLMs (e.g., GPT, Claude, Gemini, Llama) into data workflows to enhance automation and insight generation.</li><li>
Collaborate with technical and business teams to identify opportunities for LLM and agentic AI adoption in operational processes.</li><li>
Build Python-based tools and scripts for data manipulation, visualization, and decision automation.</li><li>
Utilize relational databases (SQL Server, MySQL, etc.) for data extraction and analysis.</li><li>
Research and evaluate modern open-source and proprietary AI/ML models to support project requirements.</li><li>
Implement monitoring and automated data validation processes to ensure quality and scalability.</li><li>
Contribute to GenAI initiatives and experimentation with emerging AI frameworks.</li></ul><h2 class="jobSectionHeader">
Requirements:</h2><ul><li>
4+ years of professional experience in data science, data engineering, or AI-focused roles.</li><li>
2+ years of hands-on experience working with LLMs (GPT, Claude, Gemini, Llama, etc.) and agentic AI systems.</li><li>
1+ year of experience working with relational databases (SQL Server, MySQL, PostgreSQL, etc.).</li><li>
Strong proficiency in Python for data manipulation, automation, API integration, and prompt engineering.</li><li>
Experience with data structuring, cleaning, processing, and visualization tools.</li><li>
Experience building and deploying data-driven or AI-assisted solutions.</li><li>
Good-to-have: Exposure to .NET for application integration or workflow development.</li><li>
Strong communication skills with the ability to translate technical findings into actionable business insights.</li></ul> 
If you meet the above qualifications and are excited to work on innovative AI-driven data solutions, we encourage you to apply and join our team!
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