data science specialist

Blue Yonder

<div>
 
 Overview
 
 
 
 <ul>
 <li>
 Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor&rsquo;s &ldquo;Best Places to Work&rdquo;
 </li>
 <li>
 Seeking an astute individual that has a strong technical foundation with the additional ability to be hands-on with the broader engineering team as part of the development/deployment cycle, and deep knowledge of industry best practices, Data Science and Machine Learning experience with the ability to implement them working with both the platform, and the product teams.
 
 
 </li>
 </ul>
 
 Scope
 
 
 
 <ul>
 <li>
 Our machine learning platform ingests data in real time, processes information from millions of retail items to serve deep learning models and produces billions of predictions on a daily basis.
 </li>
 <li>
 Blue Yonder Data Science and Machine Learning team works closely with sales, product and engineering teams to design and implement the next generation of retail solutions. Data Science team members are tasked with turning both small, sparse and massive data into actionable insights with measurable improvements to the customer bottom line.
 
 
 </li>
 </ul>
 
 Our Current Technical Environment
 
 
 
 Software: Python 3.*
 
 
 Frameworks/Others: TensorFlow, PyTorch, BigQuery/Snowflake, Apache Beam, Apache Spark, Kubeflow , Kubernetes, Kafka, Pub/Sub, and Flask.
 
 
 Application Architecture: Scalable, Resilient, Reactive, event driven, secure multi-tenant Microservices architecture.
 
 
 Cloud: Azure/GCP
 
 
 
 What We Are Looking For
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Computer Science or related fields; graduate degree preferred.
 </li>
 <li>
 Solid understanding of data science and deep learning foundations.
 </li>
 <li>
 Proficient in Python programming with a solid understanding of data structures.
 </li>
 <li>
 Experience working with most of the following frameworks and libraries: Pandas, NumPy, Keras, PyTorch, TensorFlow, Jupyter, Matplotlib etc.
 </li>
 <li>
 Expertise in any database query language, SQL preferred.
 </li>
 <li>
 Familiarity with Big Data tech such as Snowflake , Apache Beam/Spark/Flink, and Databricks. etc.
 </li>
 <li>
 Solid experience with any of the major cloud platforms, preferably Azure and/or GCP (Google Cloud Platform).
 </li>
 <li>
 Reasonable knowledge of modern software development tools, and respective best practices, such as Git, Jenkins, Docker, Jira, etc.
 </li>
 <li>
 Familiarity with deep learning, NLP, reinforcement learning, combinatorial optimization etc.
 </li>
 <li>
 Provable experience guiding junior data scientists in official or unofficial setting.
 </li>
 <li>
 Desired knowledge of Kafka, Redis, Cassandra, etc.
 
 
 </li>
 </ul>
 
 What You Will Do
 
 
 
 As a Data Scientist, you serve as a specialist in the team that supports the team with following responsibilities.
 
 
 <ul>
 <li>
 Independently, or alongside junior scientists, implement machine learning models by Procuring data from platform, client, and public data sources.
 </li>
 <li>
 Implementing data enrichment and cleansing routines
 </li>
 <li>
 Implementing features, preparing modelling data sets, feature selection, etc.
 </li>
 <li>
 Evaluating candidate models, selecting, and reporting on test performance of final one
 </li>
 <li>
 Ensuring proper runtime deployment of models, and Implementing runtime monitoring of model inputs and performance in order to ensure continued model stability.
 </li>
 <li>
 Work with product, sales and engineering teams helping shape up the final solution.
 </li>
 <li>
 Use data to understand patterns, come up with and test hypothesis; iterate.
 </li>
 <li>
 Help prepare sales materials, estimate hardware requirements, etc.
 </li>
 <li>
 Attend client meetings, online and onsite, to discuss new and current functionality
 
 
 </li>
 </ul>
 
 Our Values
 
 
 
 If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success &ndash; and the success of our customers. Does your heart beat like ours? Find out here: Core Values
 
 
 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
</div>

Data Scientist (ML, Python, Pandas, NumPy, Keras, TensorFlow, Cloud)

<div><div>Overview:</div><ul><li>
Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor&rsquo;s &ldquo;Best Places to Work&rdquo;</li><li>
Seeking an astute individual that has a strong technical foundation with the additional ability to be hands-on with the broader engineering team as part of the development/deployment cycle, and deep knowledge of industry best practices, Data Science and Machine Learning experience with the ability to implement them working with both the platform, and the product teams.</li></ul><div></div><div>
Scope</div><ul><li>
Our machine learning platform ingests data in real time, processes information from millions of retail items to serve deep learning models and produces billions of predictions on a daily basis.</li><li>
Blue Yonder Data Science and Machine Learning team works closely with sales, product and engineering teams to design and implement the next generation of retail solutions. Data Science team members are tasked with turning both small, sparse and massive data into actionable insights with measurable improvements to the customer bottom line.</li></ul><div> 
</div><div></div><div>Our current technical environment:</div><div>
Software: Python 3.*</div><div>
Frameworks/Others: TensorFlow, PyTorch, BigQuery/Snowflake, Apache Beam, Apache Spark, Kubeflow , Kubernetes, Kafka, Pub/Sub, and Flask.</div><div>
Application Architecture: Scalable, Resilient, Reactive, event driven, secure multi-tenant Microservices architecture.</div><div>
Cloud: Azure/GCP</div><div></div><div> 
What we are looking for:</div><ul><li>
Bachelor&rsquo;s Degree in Computer Science or related fields; graduate degree preferred.</li><li>
Solid understanding of data science and deep learning foundations.</li><li>
Proficient in Python programming with a solid understanding of data structures.</li><li>
Experience working with most of the following frameworks and libraries: Pandas, NumPy, Keras, PyTorch, TensorFlow, Jupyter, Matplotlib etc.</li><li>
Expertise in any database query language, SQL preferred.</li><li>
Familiarity with Big Data tech such as Snowflake , Apache Beam/Spark/Flink, and Databricks. etc.</li><li>
Solid experience with any of the major cloud platforms, preferably Azure and/or GCP (Google Cloud Platform).</li><li>
Reasonable knowledge of modern software development tools, and respective best practices, such as Git, Jenkins, Docker, Jira, etc.</li><li>
Familiarity with deep learning, NLP, reinforcement learning, combinatorial optimization etc.</li><li>
Provable experience guiding junior data scientists in official or unofficial setting.</li><li>
Desired knowledge of Kafka, Redis, Cassandra, etc.</li></ul><div></div><div>
What you will do:</div><div>
As a Data Scientist, you serve as a specialist in the team that supports the team with following responsibilities.</div><ul><li>
Independently, or alongside junior scientists, implement machine learning models by Procuring data from platform, client, and public data sources.</li><li>
Implementing data enrichment and cleansing routines</li><li>
Implementing features, preparing modelling data sets, feature selection, etc.</li><li>
Evaluating candidate models, selecting, and reporting on test performance of final one</li><li>
Ensuring proper runtime deployment of models, and Implementing runtime monitoring of model inputs and performance in order to ensure continued model stability.</li><li>
Work with product, sales and engineering teams helping shape up the final solution.</li><li>
Use data to understand patterns, come up with and test hypothesis; iterate.</li><li>
Help prepare sales materials, estimate hardware requirements, etc.</li><li>
Attend client meetings, online and onsite, to discuss new and current functionality</li></ul><div></div><div>
Our Values</div><div> 
If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success &ndash; and the success of our customers. Does your heart beat like ours? Find out here: <div>Core Values</div></div><div></div><div>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.</div></div>

Sindh Integrated Emergency & Health Services (SIEHS)

ORGANIZATION CHART (IMMEDIATE LINE &amp; FUNCTIONAL RELATIONSHIP)Artificial Intelligence EngineerManager &ndash; ERP &amp; ApplicationsGENERAL PURPOSE:This position is for a talented and innovative Artificial Intelligence Engineer to join our Team. This role will focus on designing, developing, and deploying AI and Machine Learning (ML) models that enhance the functionality, intelligence, and user experience of enterprise applications. The ideal candidate will have strong technical skills, hands-on experience in AI/ML development, and a passion for turning data into actionable insights through intelligent systems. Candidate would be able to take new projects and he/she should able to coordinate with internal and external stakeholders for the execution in a timely and cost-effective manner.JOB RESPONSIBILITIES &amp; AUTHORITIES:System Implementation &amp; Support<ul><li>Design, develop, and implement machine learning models and AI-driven algorithms for classification, prediction, natural language processing, and optimization tasks.</li><li>Evaluate model performance using metrics and apply hyperparameter tuning and retraining as needed.</li><li>Design, code, test, and manage various applications.</li><li>Follow outlined standards of quality related to code and systems.</li><li>Integrate with front-end developers to create seamless, user-friendly interfaces.</li><li>Write testable, server-side code to ensure stability and reliability.</li><li>Work closely with the application development team to integrate AI models into web, desktop, and mobile applications.</li><li>Support and fix existing functionalities to maintain and improve performance.</li><li>Design and build application layers to enhance architecture and scalability.</li><li>Proficiency in designing, coding, testing, and debugging software components.</li></ul>COMPETENCY MATRIX:Communication&middot; Communicates on project schedule with software development/implementation vendors and tracks progress of tasks vs. agreed schedule.&middot; Effectively communicates relevant IDS-related information to the project team and IDS support teams.&middot; Escalates issues that are adversely impacting the project schedule or deliverable completion to the project manager, IT team and the concerned vendors.Skills&middot; Generalo Understands the concepts, practices, procedures and deliverables associated with IT systems development and implementation.o Partner with business analysts and stakeholders to identify use cases where AI can improve efficiency, automation, or user experience.o Deliver proof of concept (PoC) projects and convert them into scalable solutions aligned with business goals.o Can work independently with the experience and judgment to plan and accomplish defined goals and objectives.&middot; Technicalo Strong programming skills in Python (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch).o Experience with model deployment using tools like Flask, FastAPI, or Django.o Hands-on experience with SQL and NoSQL databases for data extraction and manipulation.o Familiarity with cloud AI services such as Azure ML, AWS SageMaker, or Google AI Platform.o Understanding of AI model lifecycle, MLOps practices, and version control (e.g., Git).o Working knowledge of NLP, image recognition, or predictive analytics is a plus.o Exposure to Power BI, Microsoft Azure Cognitive Services, or OpenAI tools/APIs.Key Attributeso Analytical mindset with attention to detail.o Good communication and documentation skills.o Self-motivated and eager to explore new technologies.o Team player with the ability to work in agile environments.Qualification: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or equivalent.Training/Courses: Knowledge of AI concepts like NLP, computer vision, reinforcement learning, etc.Experience: Overall more than 5 years of experience with at least 1 year as data science specialist or BI/AI developer.Age Requirement: Min. 22 yearsDomicile: SindhGender: Male / FemaleLocation: KarachiJob Type: Full-timePay: From Rs100,000.00 per monthWork Location: In person

ARTIFICIAL INTELLIGENCE ENGINEER

ibex

<div>
 We are looking for a proactive and analytical
 
 Data Scientist
 
 to join our growing team. The ideal candidate will be deeply passionate about working with data, possess a strong foundation in statistical analysis and machine learning, and demonstrate the ability to derive actionable insights from complex datasets. This role requires experience in data wrangling, exploratory data analysis (EDA), and hands-on implementation of data science techniques, including Natural Language Processing (NLP).
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collect, clean, and organize structured and unstructured data from diverse sources.
 </li>
 <li>
 Ensure data accuracy, consistency, and readiness for analysis.
 </li>
 <li>
 Perform thorough EDA to understand data distributions, relationships, and anomalies.
 </li>
 <li>
 Use visualization tools (e.g., Matplotlib, Seaborn, Pandas) to communicate findings.
 </li>
 <li>
 Work closely with business teams to identify trends and patterns that guide decisions.
 </li>
 <li>
 Handle missing data, outliers, and normalization techniques effectively.
 </li>
 <li>
 Transform raw data into features suitable for modeling and insights.
 </li>
 <li>
 Automate and optimize data preparation pipelines.
 </li>
 <li>
 Develop NLP pipelines for text classification, sentiment analysis, named entity recognition, and more.
 </li>
 <li>
 Work with tools such as NLTK, Hugging Face Transformers, and BERT-based models.
 </li>
 <li>
 Analyze and process unstructured text data for business use cases.
 </li>
 <li>
 Translate complex data problems into clear, actionable insights.
 </li>
 <li>
 Proactively identify opportunities for data-driven improvements across departments.
 </li>
 <li>
 Conduct root cause analysis and support hypothesis-driven investigations.
 </li>
 <li>
 Work closely with cross-functional teams including data engineers, analysts, and product stakeholders.
 </li>
 <li>
 Exhibit a high level of accountability, ownership, and willingness to support teammates.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
 </li>
 <li>
 2&ndash;3 years of experience in a data science role.
 </li>
 <li>
 Proficiency in Python (NumPy, Pandas, Scikit-learn), SQL and MongoDB
 </li>
 <li>
 Hands-on experience with NLP frameworks such as NLTK, or Hugging Face.
 </li>
 <li>
 Solid understanding of machine learning algorithms and data modeling techniques.
 </li>
 <li>
 Strong data visualization and storytelling skills.
 </li>
 <li>
 Excellent problem-solving and critical thinking abilities.
 </li>
 <li>
 Strong communication skills and a collaborative mindset.
 </li>
 </ul>
</div>

Data Scientist, Tech

Confiz

<div>We are seeking a highly skilled Data Scientist to drive data-driven insights, develop predictive models, and build scalable data preparation pipelines. The ideal candidate will be proficient in Python or R, statistical analysis, and traditional machine learning techniques, with hands-on experience in leveraging Oracle data platforms for analytical workloads.
This role involves conducting exploratory data analysis (EDA), feature engineering, and model development, along with collaborating closely with engineering and business teams to deliver impactful and production-ready data science solutions.
Key Responsibilities
<ul><li>Perform exploratory data analysis (EDA) to uncover trends, patterns, and anomalies in large datasets.</li>
<li>Apply statistical methods and hypothesis testing to generate actionable insights.</li>
<li>Design, build, and validate machine learning models (regression, classification, clustering, etc.).</li>
<li>Develop scalable data preparation and feature engineering pipelines for model training.</li>
<li>Optimize model performance through hyperparameter tuning, feature selection, and validation.</li>
<li>Work with Oracle databases, Oracle SQL, and related tools to extract, transform, and analyze data.</li>
<li>Collaborate with data engineers and BI teams to integrate models into business applications and reporting layers.</li>
<li>Evaluate model outcomes using appropriate metrics and refine models for deployment.</li>
<li>Stay abreast of emerging trends in data science, ML, and AI, continuously enhancing analytical methodologies.</li>
<li>Present findings and recommendations to business stakeholders in a clear and actionable format.</li>
</ul>
Required Skills &amp; Experience
<ul><li>Bachelor&rsquo;s or equivalent degree in Data Science, Computer Science, Information Technology, or a related field.</li>
<li>(3 -7)years of hands-on experience in data science, machine learning, or statistical analysis.</li>
<li>Strong programming proficiency in Python or R for data analysis and model building.</li>
<li>Solid understanding of machine learning algorithms (e.g., regression, decision trees, random forests, SVMs).</li>
<li>Proficiency in statistical analysis, hypothesis testing, and probability theory.</li>
<li>Experience in data preprocessing, feature engineering, and dimensionality reduction.</li>
<li>Hands-on experience with ML libraries and frameworks (Scikit-learn, XGBoost, LightGBM, Statsmodels, etc.).</li>
<li>Strong SQL skills, including experience working with Oracle Database and Oracle Analytics for data extraction and transformation.</li>
<li>Experience handling large-scale structured and unstructured datasets.</li>
<li>Exposure to model deployment, monitoring, or integration with enterprise systems.</li>
<li>Excellent problem-solving, analytical, and communication skills with the ability to translate complex insights for business users.</li>
</ul>
Preferred Qualifications
<ul><li>Experience working within Oracle data ecosystems (e.g., Oracle Autonomous Database, Oracle Data Science, or Oracle Analytics Cloud).</li>
<li>Familiarity with big data technologies (Spark, Hadoop) for large-scale ML workloads.</li>
<li>Experience with deep learning frameworks (TensorFlow, PyTorch).</li>
<li>Exposure to MLOps, including CI/CD pipelines, model versioning, and lifecycle management.</li>
<li>Understanding of A/B testing, experiment design, and data validation techniques.</li>
</ul>
We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</div>

Data Scientist

Peak

<div>
 
 We are looking for a Data Scientist who is passionate about using data to solve challenging problems. As a Data Scientist, you will be responsible for analyzing and interpreting complex datasets to drive strategic decisions and develop innovative solutions. You will collaborate with cross-functional teams to identify business challenges, design experiments, build predictive models, and communicate actionable insights to stakeholders.
 
 
 
 
 
 If you are a motivated and data-driven individual with a passion for gaming, join our team to help our games thrive in an exciting global industry!
 
 
 
 
 
 
 Here's what you&rsquo;ll do
 
 
 
 
 
 <ul>
 <li>
 Analyze and interpret large datasets to derive meaningful analytical solutions and actionable insights
 </li>
 <li>
 Collaborate with the engineering team to develop and optimize data resources, data warehouses and data pipelines
 </li>
 <li>
 Conduct exploratory data analyses to identify product gaps, test hypotheses, and seize opportunities to inform product roadmaps
 </li>
 <li>
 Work closely with product teams to model, simulate, and help fine-tune the game&rsquo;s internal economy
 </li>
 <li>
 Build, develop and maintain a suite of data analytics and visualization tools that empower your fellow Product and Marketing teams to make data-informed decisions: dashboards, reports, ad-hoc analysis and insightful observations
 </li>
 <li>
 Collaborate with different teams to drive, implement and analyze A/B testing results
 </li>
 <li>
 Develop and maintain our player segmentation tool
 </li>
 <li>
 Build predictive models using machine learning algorithms
 </li>
 <li>
 Stay up-to-date with industry trends, best practices, and new tools and techniques in data analysis &amp; data science
 </li>
 <li>
 Work with our tech stack:
 
 (dbt (Python, SQL), Snowflake, Looker, Hex, Streamlit, Airflow)
 
 </li>
 </ul>
 
 
 
 
 
 Desired skills and experiences
 
 
 
 
 
 <ul>
 <li>
 University degree from a reputable university in a STEM (Statistics, Mathematics, Engineering) field or related departments
 </li>
 <li>
 Minimum of 1 year of hands-on data science experience in a tech companies
 </li>
 <li>
 Strong knowledge of SQL and Python; excited to learn new languages when needed
 </li>
 <li>
 Experience in working with a cloud data warehouse (Snowflake, Redshift, BigQuery) is a plus
 </li>
 <li>
 Passion for mobile casual games
 </li>
 <li>
 Excellent attention to detail, natural curiosity and ability for creative problem-solving
 </li>
 <li>
 Strong written and oral communication skills
 </li>
 <li>
 Ability to work independently with minimal supervision and prioritize multiple tasks in a fast-paced environment
 </li>
 </ul>
 
 
 
 
 
 Areas in which you'll continue to grow
 
 
 
 
 
 <ul>
 <li>
 Proficiency in extracting, processing and modeling huge amounts of data
 </li>
 <li>
 Working with one of the richest and largest datasets of the technology industry
 </li>
 <li>
 Proficiency in data analytics, data science and visualization tools
 </li>
 <li>
 Ability to initiate, support and improve product &amp; marketing decisions thanks to the evolving role of data in a fully data-driven environment
 </li>
 </ul>
</div>

Leads Rank

Job Title: Data ScientistPosition Summary:We are looking for a Data Scientist to help analyze our growing data, build data-driven solutions, and deliver actionable insights that will support key business decisions and innovations across teams.Key Responsibilities:- Collect, clean and preprocess structured/unstructured data from multiple sources- Analyze large datasets to discover trends, patterns and insights that can drive strategy- Build and train predictive / statistical / machine-learning models to solve business problems- Design and implement data pipelines / ETL workflows where necessary- Visualize and communicate findings via reports or dashboards to both technical and non-technical stakeholders- Collaborate with product, engineering, and business teams to identify opportunities for data-driven features and solutions- Monitor and maintain the performance, reliability, and integrity of data models (especially those in production)- Stay updated with the latest developments in data science / analytics / ML and apply them when relevantRequired Qualifications:- Bachelor&rsquo;s or Master&rsquo;s in Data Science, Computer Science, Statistics, Mathematics or related field- Proficiency in Python (or R), data manipulation libraries, and SQL (or equivalent database/querying tools)- Strong knowledge of statistics, machine learning / modeling techniques, and data analysis fundamentals- Experience working with large and complex datasets; data cleaning and preprocessing experience- Analytical mindset, problem-solving skills, attention to detail- Good communication skills, ability to turn technical results into actionable business insights- Ability to collaborate well with cross-functional teamsPreferred / Nice-to-have:- Familiarity with data visualization tools (Tableau, Power BI, or equivalent) or Python/R visualization libraries- Experience with Big Data tools (Spark/Hadoop) and handling large-scale data pipelines- Exposure to cloud computing platforms (AWS, GCP, Azure) for data processing or storage- Experience in deploying ML models / working in production environment- Basic understanding of data engineering practices (ETL, data warehousing, pipelines)Job Type: Full-timePay: &#8377;25,000.00 - &#8377;100,000.00 per monthWork Location: In person

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