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Data Scientist / Principal Data Scientist
Posted 1 day ago
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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.
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Data Scientist- Data Scientist Sr.
Posted 19 days ago
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Job Description
Please note the job posting will close on the day before the posting end date.
**Job Summary**
As a Data Scientist (Levels 7/8), you'll work directly with business partners to identify opportunities, analyze data, and build models that optimize operations and support strategic initiatives. You'll design, develop, and deploy predictive and prescriptive analytics using modern data science tools and cloud platforms. This role is ideal for someone who enjoys hands-on development, collaborating with stakeholders, and delivering actionable insights.
**Job Description**
**What You'll Do:**
+ **Hands-On Analytics & Model Development:**
+ Develop, test, and deploy machine learning, AI, and statistical models to solve high-value business problems.
+ Apply modern data science tools (Python, R, cloud platforms like AWS/Azure) for data wrangling, modeling, and visualization.
+ Build and maintain scalable solutions for predictive and prescriptive analytics.
+ **Business Partnership & Value Delivery:**
+ Collaborate with business units to understand challenges and identify opportunities for analytics-driven improvements.
+ Translate business needs into technical requirements and deliver actionable insights.
+ Communicate findings through clear visualizations and presentations.
+ **Data Acquisition & Management:**
+ Ensure relevant data is acquired, cleaned, and prepared for analysis.
+ Work with data engineers to access and integrate data from various sources.
+ **Continuous Learning & Industry Awareness:**
+ Stay current with industry trends in AI, GenAI, machine learning, and statistical modeling.
+ Participate in forums and research to bring innovative solutions to AEP.
+ **Collaboration & Mentorship:**
+ Work closely with other data scientists and analysts; may provide guidance to junior team members.
+ Collaborate with external partners or vendors as needed.
**What We're Looking For:**
+ **Education:** Bachelor's degree in mathematics, statistics, computer science, data science, engineering, economics, or a related technical field.
+ **Experience:** Minimum 5 years of relevant experience in data science, analytics, or machine learning.Equivalent combinations of education and experience may be considered.
**Preferred Skills**
+ Proficiency with analytics and statistical software (Python, R, etc.).
+ Experience with cloud platforms (AWS, Azure) and modern data science workflows.
+ Experience developing and deploying machine learning and AI models in production environments.
+ Hands-on experience with modern AI techniques, including generative AI (LLMs, RAG), agentic AI (autonomous agents, workflow automation), and computer vision (image/video analysis).
+ Ability to communicate complex technical concepts to non-technical audiences.
+ Familiarity with MLOps, model monitoring, and version control.
+ Strong problem-solving skills and adaptability in a fast-paced environment.
**What you'll get:**
In addition to a competitive compensation, AEP offers a unique comprehensive benefits package that aims to support and enhance the overall well-being of our employees.
Where Putting the Customer First Powers Everything We Do
At AEP, we're more than just an energy company - we're a team of dedicated professionals committed to delivering safe, reliable, and innovative energy solutions. Guided by our mission to put the customer first, we strive to exceed expectations by listening, responding, and continuously improving the way we serve our communities. If you're passionate about making a meaningful impact and being part of a forward-thinking organization, this is the company for you!
#AEPCareers
#LI-ONSITE
**Compensation Data**
**Compensation Grade:**
SP20-008
**Compensation Range:**
$96, ,940.00 USD
The Physical Demand Level for this job is: S - Sedentary Work: Exerting up to 10 pounds of force occasionally (Occasionally: activity or condition exists up to 1/3 of the time) and/or a negligible amount of force frequently. (Frequently: activity or condition exists from 1/3 to 2/3 of the time) to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally, and all other sedentary criteria are met.
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It is hereby reaffirmed that it is the policy of American Electric Power (AEP) to provide Equal Employment Opportunity in all respects of the employer-employee relationship including recruiting, hiring, upgrading and promotion, conditions and privileges of employment, company sponsored training programs, educational assistance, social and recreational programs, compensation, benefits, transfers, discipline, layoffs and termination of employment to all employees and applicants without discrimination because of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, veteran or military status, disability, genetic information, or any other basis prohibited by applicable law. When required by law, we might record certain information or applicants for employment may be invited to voluntarily disclose protected characteristics.
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Data Scientist
Posted 7 days ago
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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
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Data Scientist
Posted 7 days ago
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Job Description
As a Remote Data Scientist, you will play a critical role in analyzing large datasets to uncover trends, build predictive models, and provide strategic insights that will inform business decisions. You will collaborate with cross-functional teams, including product, engineering, and marketing, to develop data-driven solutions that align with our company goals.
Key Responsibilities:
- Analyze complex datasets to extract meaningful insights and trends using statistical methods and data mining techniques.
- Develop predictive models and machine learning algorithms to solve business problems and improve operational efficiency.
- Collaborate with stakeholders to identify data needs and create ad-hoc analyses to support decision-making.
- Communicate findings and recommendations clearly through data visualization and storytelling techniques.
- Design and implement experiments to test hypotheses and validate models.
- Stay up-to-date with the latest industry trends and advancements in data science and machine learning methodologies.
- Contribute to the development and maintenance of data pipelines and databases to ensure data integrity and accessibility.
**Qualifications:**
- Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
- Proven experience as a Data Scientist or similar role, with a strong portfolio of data analysis and modeling projects.
- Proficiency in programming languages such as Python, R, or similar, and experience with data manipulation libraries (e.g., Pandas, NumPy).
- Familiarity with machine learning frameworks (e.g., TensorFlow, Scikit-learn) and statistical analysis tools.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib) and the ability to present complex data in a clear and concise manner.
- Strong analytical and problem-solving skills, with a keen attention to detail.
- Excellent communication skills, both verbal and written, with the ability to convey technical concepts to non-technical stakeholders.
- Familiarity with cloud platforms (e.g., AWS, Google Cloud) and data storage solutions (e.g., SQL, NoSQL) is a plus.
What We Offer:
- Competitive salary and benefits package.
- Flexible work hours and a remote-first culture.
- Opportunities for professional development and growth.
- A collaborative and innovative work environment.
- The chance to work on exciting projects that make a difference.
Equal Opportunity Employer:
We are an equal opportunity employer and value diversity at our company. We encourage applications from all qualified individuals regardless of race, gender, age, sexual orientation, disability, or any other characteristic.
This job description outlines the key responsibilities and qualifications for the position of Remote Data Scientist, aiming to attract qualified candidates who can contribute to our data-driven initiatives.
Company Details
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Data-Scientist
Posted 15 days ago
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Job Description
Data Scientist (Remote)
Suffolk Technologies is looking for a skilled and motivated Data Scientist to join our forward-thinking team. As part of our innovation and investment platform, you will use data to drive smarter decisions across construction, real estate, and technology initiatives. This remote position offers the flexibility to work from anywhere while contributing to projects that shape the future of the built environment.
In this role, you will collect, process, and analyze large datasets to uncover trends, build predictive models, and design algorithms that improve business efficiency and performance. You’ll collaborate with cross-functional teams to translate analytical insights into practical solutions that enhance operations, sustainability, and productivity.
The ideal candidate is highly analytical, detail-oriented, and fluent in tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI. A background in statistics, computer science, or engineering is preferred.
Suffolk Technologies offers competitive pay, professional growth opportunities, and a collaborative remote work culture.
Job Type: Permanent (Remote)
Salary: $38–$55 per hour (based on experience)
Company Details
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Data Scientist
Posted 24 days ago
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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.
Denologix is a Toronto-based Analytics & Information Management company that provides Big Data, Artificial Intelligence, Business Intelligence, and advanced IT solutions to help businesses improve decision-making, operations, and growth. The company specializes in data integration, data quality, and analytical services, offering tools and platforms to create 360-degree views of data for better market understanding, risk assessment, and customer retention, ultimately helping clients increase sales, reduce costs, and meet regulatory requirements.
Company Details
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Data-Scientist
Posted 27 days 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
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About the latest Apple inc Jobs in United States !
Data Scientist
Posted 7 days ago
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Job Description
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Data Scientist Responsibilities:
1. Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business products.
2. Mine massive amounts of data and perform large-scale data analysis to extract useful business insights.
3. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior.
4. Build models of user behaviors for analysis or to power production systems.
5. Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
6. Design and implement dashboards and reports that track key business metrics and provide actionable insights.
7. Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups.
8. Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta.
9. Telecommuting from anywhere in the U.S. allowed.
**Minimum Qualifications:**
Minimum Qualifications:
10. Bachelor's degree (or foreign equivalent) in Information Technology, Computer Science or related field.Requires completion of a university-level course, research project or internship involving the following
11. Relational database (SQL)
12. Developing in scripting language (Python, R)
13. Large scale data processing infrastructures using distributed systems (Hadoop, Hive)
14. Data Visualization (Tableau)
**Public Compensation:**
$165,787/year to $196,900/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
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Data Scientist
Posted today
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Job Description
As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges.
You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel.
Key Responsibilities:
+ Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our products
+ Partner with teams to solve problems and identify trends and opportunities
+ Inform, influence, support, and execute our product decisions and product launches
+ Forecasting and goaling, designing, and evaluating experiments, building and analyzing dashboards and reports, and evaluating and defining metrics
+ Exploratory Analysis: proposing roadmap items, user behaviors, and long-term trends, identifying new levers to help move key metric, and building models of user behaviors for analysis
+ Product Leadership: influencing product teams through presentation of data-based recommendations, communicating state of business, experiment results
+ Data Infrastructure: Hadoop and Hive, MySQL, Oracle, and Vertica, and automating analyses and authoring pipelines via SQL
+ Knowledge of statistics: hypothesis testing, regression
Basic Qualifications:
+ Minimum 5 years of work experience with at least 2 years of experience in Data Science
+ Minimum 2 years of experience in SQL
+ Minimum 2 years of experience in Python
+ High School Diploma or GED
Preferred Qualifications:
+ Data Analytics
+ Statistics
+ Good communication skills
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New York/New Jersey or Washington as set forth below.
We accept applications on an on-going basis and there is no fixed deadline to apply.
Information on benefits is here. ( Location Hourly Salary Range
California $80 to $0
Cleveland 80 to 90
Colorado 80 to 90
District of Columbia 80 to 90
Illinois 80 to 90
Maryland 80 to 90
Massachusetts 80 to 90
Minnesota 80 to 90
New York/New Jersey 80 to 90
Washington 80 to 90
Requesting an Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at or send us an email or speak with your recruiter.
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
For details, view a copy of the Accenture Equal Opportunity Statement ( is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.
Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
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Data Scientist
Posted 1 day ago
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Job Description
Are you a data-driven professional passionate about turning raw data into actionable insights? We are seeking a Data Scientist to join our team in Phoenix, AZ. In this role, you will apply your analytical expertise and machine learning knowledge to solve complex business challenges, drive innovation, and deliver data-backed results.
Key Responsibilities:
+ Analyze and interpret complex datasets to identify trends, patterns, and insights that support decision-making
+ Design and implement predictive models and machine learning algorithms to optimize processes and improve business performance.
+ Collaborate with cross-functional teams, including data analysts, engineers, and business leaders, to identify and solve key business problems.
+ Develop and maintain databases, data pipelines, and ETL processes.
+ Visualize data findings through dashboards and reports to effectively communicate insights to both technical and non-technical stakeholders.
+ Ensure data quality, accuracy, and privacy standards are met in compliance with company and regulatory standards.
+ Stay current with emerging technologies, tools, and best practices in data science and machine learning.
Requirements
Ideal Qualifications:
+ Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
+ Proven experience in data science, machine learning, or related roles.
+ Proficiency in programming languages such as Python, R, or Java.
+ Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
+ Knowledge of data visualization tools like Tableau, Power BI, or similar platforms.
+ Extensive experience with databases and query languages; familiarity with SQL and NoSQL databases such as MySQL, MongoDB, etc., is a plus.
+ Strong problem-solving skills and the ability to translate complex datasets into actionable insights (Source: DFST2025 - Midyear Update.pdf).
Preferred Attributes:
+ Excellent communication and collaboration skills.
+ Ability to work independently while contributing to a team-oriented environment.
+ Passion to stay ahead of technological developments and learn new analytical approaches.
+ Experience with cloud computing platforms such as AWS, Azure, or Google Cloud.
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