The US job market shows strong demand for data scientists across various industries. This field includes roles focused on data analysis, 11,032 Data Scientist jobs in the United States
Data Scientist/Senior Data Scientist
Posted 3 days ago
Job Viewed
Job Description
C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise.Learn more at: C3 AI
As a member of the C3 AI Data Science team,you will work with some of the largest companies on the planet helping them build the next generation of AI-powered enterprise applications on theC3 AI Suite . You will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our customers with the information they need to make proper decisions and enable their digital transformation. You will help find the appropriate machine learning / data mining algorithms to answer those questions and implement those on the C3 AI Suite so they can run at scale. C3 AI Data Scientists are equipped with modern development tools, IDEs, and AI agents to maximize productivity and accelerate solution delivery.
Qualified candidates will have an in-depth knowledge of most common machine learning techniques and their application. You will also understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at large-scale.
Note: This is a client-facing position which requires travel. Candidates should have the ability and willingness to travel based on business needs.
Responsibilities:
- Driving adoption of Deep Learning systems into next generation of C3 AI products.
- Designing and deploying Machine Learning algorithms for industrial applications such as fraud detection and predictive maintenance.
- Collaborating with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements.
Qualifications:
- MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields.
- Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning).
- Experience with prototyping languages such as Python and R.
- Strong mathematical background (linear algebra, calculus, probability, and statistics).
- Experience with scalable ML (MapReduce, streaming).
- Ability to drive a projectand workbothindependently and in a team.
- Smart, motivated, can-do attitude, and seeks to make a difference.
- Excellent verbal and written communication.
- Ability to travel as needed
Preferred Qualifications:
- Experience withJavaScript and Java.
- Experience with time series and dynamical systems.
- A portfolio of projects (GitHub, papers, etc.).
- Experience working with modern IDEs and AI agent toolsas part of accelerated development workflows.
C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.
New York Base Pay Range $123,000—$185,000 USDC3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.
Data Scientist/Senior Data Scientist
Posted 3 days ago
Job Viewed
Job Description
C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise.Learn more at: C3 AI
As a member of the C3 AI Data Science team, you will work with some of the largest companies on the planet to help them build the next generation of AI-powered enterprise applications. You will collaborate directly with data scientists, software engineers, and subject matter experts in defining new AI solutions that provide our customers (c3.ai/customers/) with the information they need to make informed decisions and enable their digital transformation. Your role will involve finding the appropriate machine learning algorithms and implementing them on the C3 AI Platform to ensure they can run at scale. C3 AI Data Scientists are equipped with modern development tools, IDEs, and AI agents to maximize productivity and accelerate solution delivery.
Qualified candidates will have an in-depth knowledge of most common machine learning techniques and their application. You will also understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at a large scale.
Note: This is a client-facing position which requires travel. Candidates should have the ability and willingness to travel based on business needs.
Responsibilities:
- Designing and deploying Machine Learning algorithms for industrial applications such as predictive maintenance, demand forecasting and process optimization.
- Collaborating with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements.
- Driving adoption and scalability of Generative AI and Deep Learning systems within C3 AI's products.
Qualifications:
- MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields.
- Applied Machine Learning experience (regression and classification, supervised, self-supervised, and unsupervised learning).
- Strong mathematical background (linear algebra, calculus, probability, and statistics).
- Proficiency in Python and objected-oriented programming, e.g. JavaScript
- Familiarity with key Python packages for data wrangling, machine learning, and deep learning such as pandas, sklearn, tensorflow, torch, langchain, etc.
- Ability to drive a projectand workbothindependently and in a cross-functional team.
- Smart, motivated, can-do attitude, and seeks to make a difference in a fast-paced environment.
- Excellent verbal and written communication.
- Ability to travel as needed
Preferred Qualifications:
- Experience with scalable ML (MapReduce, Spark).
- Experience in Generative AI, e.g., Large Language Models (LLMs), embedding models, prompt engineering, and fine-tuning.
- Experience with reinforcement learning.
- A portfolio of projects (GitHub, papers, etc.).
- Experience working with modern IDEs and AI agent toolsas part of accelerated development workflows.
C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.
California Base Pay Range $123,000—$185,000 USDC3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.
Data Scientist/Senior Data Scientist
Posted 3 days ago
Job Viewed
Job Description
C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI
As a member of the C3 AI Data Science team, you will work with some of the largest companies on the planet to help them build the next generation of AI-powered enterprise applications. You will collaborate directly with data scientists, software engineers, and subject matter experts in defining new AI solutions that provide our customers (c3.ai/customers/) with the information they need to make informed decisions and enable their digital transformation. Your role will involve finding the appropriate machine learning algorithms and implementing them on the C3 AI Platform to ensure they can run at scale. C3 AI Data Scientists are equipped with modern development tools, IDEs, and AI agents to maximize productivity and accelerate solution delivery.
Qualified candidates will have an in-depth knowledge of most common machine learning techniques and their application. You will also understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at a large scale.
Note: This is a client-facing position which requires travel. Candidates should have the ability and willingness to travel based on business needs.
Responsibilities:
- Designing and deploying Machine Learning algorithms for industrial applications such as predictive maintenance, demand forecasting and process optimization.
- Collaborating with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements.
- Driving adoption and scalability of Generative AI and Deep Learning systems within C3 AI's products.
- MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields.
- Applied Machine Learning experience (regression and classification, supervised, self-supervised, and unsupervised learning).
- Strong mathematical background (linear algebra, calculus, probability, and statistics).
- Proficiency in Python and objected-oriented programming, e.g. JavaScript
- Familiarity with key Python packages for data wrangling, machine learning, and deep learning such as pandas, sklearn, tensorflow, torch, langchain, etc.
- Ability to drive a project and work both independently and in a cross-functional team.
- Smart, motivated, can-do attitude, and seeks to make a difference in a fast-paced environment.
- Excellent verbal and written communication.
- Ability to travel as needed
- Experience with scalable ML (MapReduce, Spark).
- Experience in Generative AI, e.g., Large Language Models (LLMs), embedding models, prompt engineering, and fine-tuning.
- Experience with reinforcement learning.
- A portfolio of projects (GitHub, papers, etc.).
- Experience working with modern IDEs and AI agent tools as part of accelerated development workflows.
C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.
California Base Pay Range
$123,000-$185,000 USD
C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.
Data Scientist/Senior Data Scientist
Posted 3 days ago
Job Viewed
Job Description
C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI
As a member of the C3 AI Data Science team, you will work with some of the largest companies on the planet helping them build the next generation of AI-powered enterprise applications on the C3 AI Suite . You will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our customers with the information they need to make proper decisions and enable their digital transformation. You will help find the appropriate machine learning / data mining algorithms to answer those questions and implement those on the C3 AI Suite so they can run at scale. C3 AI Data Scientists are equipped with modern development tools, IDEs, and AI agents to maximize productivity and accelerate solution delivery.
Qualified candidates will have an in-depth knowledge of most common machine learning techniques and their application. You will also understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at large-scale.
Note: This is a client-facing position which requires travel. Candidates should have the ability and willingness to travel based on business needs.
Responsibilities:
- Driving adoption of Deep Learning systems into next generation of C3 AI products.
- Designing and deploying Machine Learning algorithms for industrial applications such as fraud detection and predictive maintenance.
- Collaborating with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements.
- MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields.
- Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning).
- Experience with prototyping languages such as Python and R.
- Strong mathematical background (linear algebra, calculus, probability, and statistics).
- Experience with scalable ML (MapReduce, streaming).
- Ability to drive a project and work both independently and in a team.
- Smart, motivated, can-do attitude, and seeks to make a difference.
- Excellent verbal and written communication.
- Ability to travel as needed
- Experience with JavaScript and Java.
- Experience with time series and dynamical systems.
- A portfolio of projects (GitHub, papers, etc.).
- Experience working with modern IDEs and AI agent tools as part of accelerated development workflows.
C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.
New York Base Pay Range
$123,000-$185,000 USD
C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.
Data Scientist / Principal Data Scientist
Posted 16 days ago
Job Viewed
Job Description
CLEARANCE TYPE: Secret
TRAVEL: Yes, 10% of the Time
**Description**
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.
**Please note that this opportunity is contingent on program funding. Start dates are determined after funding confirmation.**
Northrop Grumman Aeronautics Systems Sector has an opening for a **Data Scientist / Principal Data Scientist** to join our Digital Strategy & Analytics team. This position is located in **Melbourne, Florida** .
Are you motivated to work in an environment that will challenge you, force you to continuously innovate, and work on solutions that make a difference for your customers? Northrop Grumman Aeronautics Systems relies on our team to provide the insights needed to drive performance across a broad range of strategic activities. We are looking for a passionate **Data Scientist** to work on the cutting edge of digital transformation.
You will share in the ownership of the technical vision and direction for advanced analytics systems that change the way we see and use data. We are looking for people who are self-motivated, hardworking, and have demonstrated the ability to find innovative solutions to complex technical problems.
**Job Responsibilities:**
+ Design, develop, and maintain scalable Extract, Transform, and Load (ETL) pipelines utilizing Python and SQL.
+ Design, develop, and maintain automated data visualizations in Tableau.
+ Data preparation/cleaning, integration, and automation from heterogeneous sources.
+ Ensure data integrity and system availability.
+ Identify, evaluate, and recommend core technologies and strategies.
+ Apply data engineering processes and procedures to manage infrastructure, storage, and transformation of data to enable scalable and performant analytics.
+ Drive the adoption and integration of AI/ML into the development pipelines.
+ Identify and evaluate emerging AI/ML technologies and trends and recommend their adoption where appropriate.
+ Decomposition of user requirements into logical functions/components.
This position can be hired at the Data Scientist or Principal Data Scientist level based on qualifications below.
**Basic Qualifications:**
+ **Basic Qualifications for the Data Scientist:** Bachelor's degree in a Science, Technology, Engineering, or Mathematics (STEM) field with at least 2 years of related experience
+ **Basic Qualifications for the Principal Data Scientist:** Bachelor's degree in a Science, Technology, Engineering, or Mathematics (STEM) field and 5 years of related experience or Master's degree in STEM and 3 years of experience
+ Experience with integration of data from multiple sources
+ Experience in optimizing SQL queries and performance tuning data pipelines
+ Experience using Python packages for data transformation: pandas, numpy, sqlalchemy
+ Experience with AI/ML Python libraries such as TensorFlow or PyTorch
+ Experience developing and presenting data visualizations for scientific analysis
+ Your ability to transfer and maintain the final adjudicated government secret clearance and any program access(es) required for the position within a reasonable period of time, as determined by the Company.
**Preferred Qualifications:**
+ Master's degree in a STEM field with relevant experience
+ ETL techniques and frameworks experience
+ Experience with Agile Software Development
+ Experience with AI/ML Python libraries such as TensorFlow or PyTorch
+ Experience with data platform (e.g., Palantir, Databricks, Denodo, etc.) technologies
+ Experience with NoSQL Databases (e.g., MongoDB, Neo4J, etc.)
+ Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and Keras
+ Understanding of a wide range of AI/ML techniques, including deep learning, neural networks, natural language processing, computer vision, and reinforcement learning
+ Expert in Python, SQL, and data visualization tools.
+ Experience with UI/UX design and development / Graphic Design
+ Top Secret clearance
+ CompTIA Security+ Certification or Equivalent 8570 Certification
#AS-FA3
Primary Level Salary Range: $85,000.00 - $27,400.00
Secondary Level Salary Range: 104,800.00 - 157,200.00
The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.
Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.
The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.
Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
Data-Scientist
Posted 1 day ago
Job Viewed
Job Description
We are looking for a skilled Data Scientist to join our team and leverage data to drive insights, innovation, and business growth. In this role, you will collect, analyze, and interpret large datasets to solve complex problems, build predictive models, and support data-driven decision-making. The ideal candidate is highly analytical, detail-oriented, and comfortable working with both structured and unstructured data.
Key Responsibilities:
• Collect, clean, and analyze large datasets from multiple sources.
• Build predictive models and machine learning algorithms to solve business challenges.
• Communicate findings through data visualization and storytelling.
• Collaborate with product, engineering, and business teams to integrate insights into strategy.
• Conduct experiments and A/B testing to validate solutions.
• Stay up to date with emerging tools, technologies, and best practices in data science.
Requirements:
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
• Strong proficiency in programming languages (Python, R, or SQL).
• Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
• Solid understanding of statistics, modeling, and data visualization.
• Ability to translate complex data into clear, actionable insights.
• Strong problem-solving and communication skills.
Company Details
Data-Scientist
Posted 3 days ago
Job Viewed
Job Description
We are seeking a highly skilled and analytical Data Scientist to join our team. The ideal candidate will be responsible for collecting, analyzing, and interpreting large datasets to help drive strategic decision-making. You will collaborate with cross-functional teams to build predictive models, uncover insights, and provide data-driven solutions to complex business problems.
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Key Responsibilities:
• Collect, clean, and preprocess structured and unstructured data from multiple sources.
• Develop predictive models, algorithms, and machine learning solutions to support business objectives.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.
• Design and implement data-driven experiments and A/B tests.
• Visualize and communicate findings to technical and non-technical stakeholders through dashboards, reports, and presentations.
• Work closely with data engineers to improve data pipelines and infrastructure.
• Ensure data quality, security, and compliance with best practices.
• Stay updated with the latest advancements in data science, machine learning, and AI technologies.
⸻
Qualifications & Skills:
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Strong knowledge of statistical methods, machine learning algorithms, and data modeling techniques.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with data visualization tools (Tableau, Power BI, matplotlib, seaborn, etc.).
• Familiarity with big data frameworks (Hadoop, Spark) and cloud platforms (AWS, Azure, GCP) is a plus.
• Excellent problem-solving, analytical thinking, and communication skills.
• Ability to work independently and collaboratively in a team environment.
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Preferred Experience:
• 2+ years of proven experience as a Data Scientist, Data Analyst, or similar role.
• Hands-on experience with deep learning frameworks (TensorFlow, PyTorch) is an advantage.
• Experience working with large datasets and scalable data solutions.
Company Details
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Data Scientist
Posted 12 days ago
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Job Description
We are seeking a talented and experienced Data Scientist to join our team. The ideal candidate will be responsible for analyzing complex data sets, developing algorithms, and creating predictive models to drive business decisions. If you have a passion for data and a strong analytical mindset, we want to hear from you!
Responsibilities:- Analyze large data sets to uncover trends, patterns, and insights
- Develop machine learning algorithms and predictive models
- Collaborate with cross-functional teams to design and implement data-driven solutions
- Communicate findings to stakeholders through reports and presentations
- Stay current on industry trends and best practices in data science
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field
- Proven experience in data analysis, machine learning, and statistical modeling
- Proficiency in programming languages such as Python, R, or SQL
- Strong problem-solving skills and attention to detail
- Excellent communication and presentation abilities
data and source documents.Prepares and sorts source documents, and identifies and interprets data to be entered. Compiles, sorts and verifies data for accuracy. Contacts responsible parties or clients from other organization to resolve moderately complex questions, inconsistencies, or missing data. Also perform Records keeping, keyboarding/data entry and performing a variety of other office tasks account balancing, invoicing recording, proper data
Company Details
Data Scientist
Posted 14 days ago
Job Viewed
Job Description
We are looking for a talented and passionate Data Scientist to join our team remotely. As a Data Scientist, you will play a key role in extracting valuable insights from large, complex datasets to help drive data-driven decision-making across the organization. You will work with cutting-edge tools, advanced statistical techniques, and machine learning models to uncover patterns, predict outcomes, and influence the direction of business strategy.
Key Responsibilities:- Data Collection & Preprocessing:
- Gather and clean large datasets from multiple sources (databases, APIs, third-party platforms).
- Apply data wrangling and preprocessing techniques to prepare data for analysis, including handling missing values, outliers, and normalizing data.
- Data Exploration & Analysis:
- Perform exploratory data analysis (EDA) to identify trends, patterns, and outliers in datasets.
- Use statistical methods to test hypotheses and draw conclusions based on data.
- Provide actionable insights to stakeholders based on data analysis.
- Machine Learning & Modeling:
- Develop, train, and deploy machine learning models (supervised, unsupervised, and reinforcement learning) to solve business problems such as predictive analytics, classification, regression, and clustering.
- Evaluate model performance using appropriate metrics and optimize for better accuracy and efficiency.
- Use deep learning techniques for more complex tasks (e.g., image recognition, NLP) if applicable.
- Data Visualization:
- Create compelling and clear visualizations to communicate complex data insights to non-technical stakeholders (using tools like Tableau, Power BI, Matplotlib, Seaborn, etc.).
- Develop dashboards and reports to monitor key business metrics and track model performance.
- Collaboration with Cross-Functional Teams:
- Work closely with product managers, engineers, and business stakeholders to understand data requirements and translate them into actionable insights and models.
- Provide support and recommendations to decision-makers based on data insights.
- Automation & Optimization:
- Automate data pipelines for consistent, repeatable, and scalable analyses.
- Improve the efficiency of data processing workflows and integrate with cloud platforms (AWS, Google Cloud, Azure).
- Continuous Learning & Research:
- Stay up-to-date with the latest trends and techniques in data science, machine learning, and artificial intelligence.
- Conduct independent research to discover new methods or approaches that can be applied to solve business problems.
- Education : Bachelor’s degree in Computer Science, Mathematics, Statistics, Data Science, or a related field (Master’s or PhD is a plus).
- Experience : 3-5 years of professional experience in a data science or related role.
- Technical Skills :
- Proficiency in programming languages like Python, R, or Julia.
- Strong experience with data manipulation and analysis using libraries like Pandas, NumPy, and SciPy.
- Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, Keras, PyTorch, Scikit-learn).
- Experience with SQL databases and query optimization.
- Familiarity with big data tools (e.g., Hadoop, Spark) and cloud platforms (AWS, Google Cloud, Azure).
- Knowledge of version control systems like Git.
- Statistical & Analytical Skills :
- Strong understanding of statistical methods, hypothesis testing, and experimental design.
- Experience in data mining, data visualization, and predictive modeling.
- Ability to identify and apply the right analytical methods based on business needs.
- Soft Skills :
- Strong problem-solving abilities and attention to detail.
- Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.
- Ability to work independently in a remote environment and manage multiple projects effectively.
- Deep Learning : Experience in applying neural networks for NLP, computer vision, or other complex tasks.
- Cloud Computing : Familiarity with cloud tools for data storage, computing, and model deployment.
- Business Acumen : Understanding of how data science can be applied to business strategy and operations.
- Remote Work Experience : Comfortable collaborating with cross-functional teams remotely across different time zones.
- Benefits :
- Health, dental, and vision insurance
- Paid time off (PTO)
- 401(k) retirement plan
- Remote work flexibility
- Learning and development opportunities (e.g., conferences, courses)
As a remote-first organization, we offer a dynamic and flexible work environment where you can collaborate with a talented team, push the boundaries of data science, and make a significant impact on the direction of the company. If you're passionate about using data to solve real-world problems and want to work in a collaborative and innovative environment, we'd love to hear from you!
Company Details
Data-Scientist
Posted 14 days ago
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Job Description
As a Data Scientist at Trans Global Project Group, you will analyze complex datasets, develop predictive models, and deliver insights that inform key business and technology decisions. You will collaborate with cross-functional teams to identify opportunities where data science solutions can solve real-world problems and drive value for our clients.
Key Responsibilities- Collect, clean, and analyze structured and unstructured data from various sources.
- Develop machine learning models, predictive analytics, and statistical algorithms.
- Translate data insights into business recommendations for stakeholders.
- Design and implement data-driven solutions for process optimization and strategic decision-making.
- Communicate complex technical results in a clear, concise manner for non-technical stakeholders.
- Work closely with engineers, analysts, and project managers to integrate data science solutions into business processes.
- Stay up to date with industry trends, tools, and best practices in data science and AI.
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Proven experience (3–5+ years) in data science, machine learning, or advanced analytics.
- Strong proficiency in Python, R, SQL, and data visualization tools (Tableau, Power BI, or similar).
- Experience with big data platforms (Hadoop, Spark) and cloud services (AWS, Azure, GCP) is a plus.
- Excellent problem-solving skills with the ability to work independently and in teams.
- Strong communication and storytelling skills for presenting insights.
- Competitive salary and benefits package.
- Access to innovative projects with global impact.
- Opportunities for continuous learning and career development.
- A collaborative, diverse, and forward-thinking work environment.