Top Data Science Jobs

Overview:We are a leading provider of Market Data, Pricing Analytics Engine and Data Science as a Service. We are seeking a talented Content Generation Specialist to create engaging and informative content for blogs, LinkedIn, and marketing campaigns. The ideal candidate will have a strong background in content creation within analytics and data science industry.

Responsibilities:

•Develop and execute a content strategy to enhance our online presence and attract a target audience.

• Create high-quality blog posts, LinkedIn articles, and marketing collateral that showcase our expertise in Pricing Analytics.

• Collaborate with the commercial and lead generation team to align content with lead generation efforts.

• Monitor content performance and make data-driven adjustments to optimize engagement.

• Deliverables: At least 3 posts per week and 1 blog validated to publish in our site on a monthly basis.

• The job will be evaluated after one month and one of the main KPI will be the number of content (posts / blogs) and followers gained in LinkedIn Account.

Requirements:

• Proven experience in content generation, preferably in the data science or analytics industry.

• Strong writing and editing skills with attention to detail.

• Familiarity with SEO best practices.

• Ability to create visually appealing content using graphic design tools (Canva or others)

• Understanding of LinkedIn and other social media platforms for content distribution and ads / campaigns optimization.

How to Apply:Please submit your Upwork proposal with a brief overview of your experience in content generation for the specified platforms, along with examples of your past work. Include your proposed content strategy and your availability for the project.

Developer Needed with Experience in Web Scraping and Machine Learning!

Overview of Julius Education

Julius Education (www.JuliusEdu.com) is on a mission to build a sustainable future by empowering the green workforce. We assist job seekers in identifying lucrative green career paths and acquiring the necessary skills. We also help employers attract and upskill the talent required for a cleaner, greener world. We welcome applicants from all backgrounds, even if they only meet some of the preferred qualifications.

Developer Role

We are seeking a developer to help with two major projects. The ideal candidate should have experience in developing web scraping code and machine learning algorithms. They should also be a good team member, excellent communicator, and problem-solver. They will contribute directly to our goal of making green careers more accessible.

Key Activities Potentially Include:

- Web scraping for specific information about job training requirements.

- Working on Sagemaker on AWS.

- Developing machine learning code to aid in our product development.

- Using previously developed machine learning code to help with client deliverables.

- Checking others' code for efficiency.

- Collaborating with team members to ensure data accuracy and consistency.

Preferred Skills and Qualifications:

- Proficiency in Python, AWS Sagemaker, and web scraping tools.

- Experience working with Google Drive and Trello.

- Dataset management.

- Research experience.

- Strong communication skills.

- Strong problem-solving and critical thinking skills.

- A background in science, economics, or STEM is preferred.

What You Can Expect:

- Opportunity to gain insights into big data, machine learning, and green energy.

Apply today! Include the answer to the prompt "What is your favorite green energy?" in your cover letter to show that you read the whole description.

WHAT YOU’LL DO

• Define and design future state data architecture for financial budgeting, reporting, forecasting and analysis products.

• Partner with Technology, Data Stewards and various Products teams in an Agile work stream while meeting program goals and deadlines.

• Create financial business cases / user personas to support various business initiatives.

• Engage with line of business, operations, and project partners to gather process improvements.

• Lead to design / build new models to efficiently deliver the financial results to senior management.

• Evaluate Data related tools and technologies and recommend appropriate implementation patterns and standard methodologies to ensure our Data ecosystem is always modern

• Collaborate with Enterprise Data Architects in establishing and adhering to enterprise standards while also performing POCs to ensure those standards are implemented

• Provide technical expertise and mentorship to Data Engineers and Data Analysts in the Data Architecture

• Develop and maintain processes, standards, policies, guidelines, and governance to ensure that a consistent framework and set of standards is applied across the company

• Create and maintain conceptual / logical data models to identify key business entities and visual relationships.

• Work with business and IT teams to understand data requirements.

• Maintain a data dictionary consisting of table and column definitions.

• Review data models with both technical and business audiences.

YOU’RE GOOD AT

• Design, document & train the team on the overall processes and process flows for the Data architecture

• Resolve technical challenges in critical situations that require immediate resolution.

• Develop relationships with external stakeholders to maintain awareness of data and security issues and trends

• Review work from other tech team members and provide feedback for growth

• Implement Data security policies that align with governance objectives and regulatory requirements

YOU BRING (EXPERIENCE & QUALIFICATIONS)

Essential Education

• Bachelor's degree or equivalent combination of education and experience. • Bachelor's degree in information science, data management, computer science or related field preferred. •

Essential Experience & Job Requirements

• 12+ years of IT experience with major focus on data warehouse/database related projects

• Expertise in cloud databases like Snowflake/RedShift, data catalogue, MDM etc

• Expertise in writing SQL and database procedures

• Proficient in Data Modelling… Conceptual, logical, and Physical modelling

• Proficient in documenting all the architecture related work performed.

• Hand on experience in data storage, ETL/ELT and data analytics tools and technologies e.g., Talend, DBT, Attunity, Golden Gate, FiveTran, APIs, Tableau, Power BI, Alteryx etc

• Experienced in Data Warehousing design/development and BI/ Analytical systems

• Experience working projects using Agile methodologies

• Strong hands-on experience with data and analytics data architecture, solution design, and engineering experience

• Experience with Cloud Big Data technologies such as AWS, Azure, GCP and Snowflake

• Experience working with agile methodologies (Scrum, Kanban) and Meta Scrum with cross-functional teams (Product Owners, Scrum Master, Architects, and data SMEs)

• Review existing databases, data architecture, data models across multiple systems and propose architecture enhancements for cross compatibility and target systems

• Excellent written, oral communication and presentation skills to present architecture, features, and solution recommendations

Hi, this is a competitive job posting - Do not waste your connects if you do not have past experience in eCommerce process algorithm, journey mapping, and lifecycle conversion modeling. This is a mix of data science-Lean- eCommerce marketing and sales models

You must be well-versed in designing - and redesigning conversion processes in a B2B e-commerce environment.

Deliverable:

Flowchart

Convey your findings to our automation expert for workflow process design.

Work with our data scientist to incorporate personas into the process.

priority is given to EU-based conversion analysts.

Hi, this is a competitive job posting - Do not waste your connects if you do not have past experience in eCommerce process algorithm, journey mapping, and lifecycle conversion modeling. This is a mix of data science-Lean- eCommerce marketing and sales models

You must be well-versed in designing - and redesigning conversion processes in a B2B e-commerce environment.

Deliverable:

Flowchart

Convey your findings to our automation expert for workflow process design.

Work with our data scientist to incorporate personas into the process.

priority is given to EU-based conversion analysts.

About Kyla

Kyla helps you live longer. First, Kyla collects your medical history, blood sample, and DNA. Then, Kyla AI analyzes your medical data to identify your top health risks, estimate your remaining lifetime, and give you simple, doctor-validated daily goals to increase your life expectancy. Finally, Kyla monitors your progress 24×7, diagnoses, and treats your conditions with the help of doctors.

Join our Kyla.com team of medical providers, product leaders, engineers, and AI scientists to grant people the power to understand their health from a new perspective in order to improve their life expectancy. Our ActionUrgentCare.com medical infrastructure consists of 14 Medical Clinics and a High Complexity Laboratory in California, USA, and has been in business for 10+ years. We’re working with Fortune 500 companies, schools, and individuals by the thousands and are rapidly growing.

About the position:

As a Data Scientist at Kyla, you will be an integral part of our dynamic team, working alongside medical providers, product leaders, engineers, and AI scientists. Your role involves leveraging your expertise in statistical analysis, programming, machine learning, and Bayesian Networks to extract meaningful insights from diverse healthcare datasets. You will play a key role in developing and implementing advanced data science solutions that contribute to Kyla’s mission of improving life expectancy.

What you need to succeed:

Statistical Analysis: you should have a strong foundation in statistical methods to analyze and interpret data. This includes knowledge of probability, hypothesis testing, regression analysis, and other statistical techniques.

Programming Skills: Proficiency in programming languages is a must. You must have hands-on experience with Python, Java or similar programming languages.

Machine Learning: Hands on experience in applying machine learning algorithms. This includes supervised and unsupervised learning, classification, regression, clustering, and feature engineering.

Bayesian Networks Expertise: As we use Bayesian Networks, the ideal candidate should have expertise in probabilistic graphical models, particularly Bayesian Networks. This includes the ability to model and infer relationships among variables, handle uncertainty, and update beliefs based on new evidence

Problem-Solving: You should have strong problem-solving skills to approach complex issues, formulate hypotheses, and iteratively test and refine solutions.

Fluent in English, both spoken and written.

As a plus:

Healthcare domain knowledge: Experience in the healthcare domain is a big plus.

Experience with Data Visualization using tools like Tableau.

Experience with Big Data tech, like Hadoop, Spark, and distributed computing is a plus.

Database Knowledge: SQL and NoSQL.

What you will do:

Problem Definition: Collaborate with business stakeholders to understand their objectives and define clear and specific data science problems.

Data Collection: Identify and gather relevant data from various sources, ensuring the data is accurate, comprehensive, and suitable for analysis.

Exploratory Data Analysis (EDA): Conduct exploratory data analysis to understand the structure and patterns within the data.

Model Development: Apply statistical and machine learning techniques to develop predictive models, classification algorithms, regression models, or clustering algorithms based on the defined problem.

Model Evaluation: Assess the performance of models using appropriate metrics and fine-tune them as needed. This may involve cross-validation, hyperparameter tuning, and other optimization techniques.

Monitoring and Maintenance: Monitor the performance of deployed models and update them as needed to adapt to changing data patterns or business requirements.

Helping our medical providers to incorporate their knowledge into our AI products.

We are currently using a third-party excel extension to run Monte Carlo simulations on financial data.

We would like to replace this with a scripted version of the monte carlo simulation model which can run in Amazon Lambda/Azure Functions etc.

Hi, this is a competitive job posting - Do not waste your connects if you do not have past experience in eCommerce process algorithm, journey mapping, and lifecycle conversion modeling. This is a mix of data science-Lean- eCommerce marketing and sales models

You must be well-versed in designing - and redesigning conversion processes in a B2B e-commerce environment.

Deliverable:

Flowchart

Convey your findings to our automation expert for workflow process design.

Work with our data scientist to incorporate personas into the process.

priority is given to EU-based conversion analysts.

We manage marketing and measurement in-house and are looking for someone to help us get MMM & potentially GeoLift (or similar) models off the ground.

We are looking for someone with significant experience working in Python & R.

You should be willing to collaborate directly with our technical team who is very experienced with marketing measurement methodologies, but is not very experienced machine learning techniques and MMM.

We are looking for a skilled Data Scientist to join our team in developing an AI-powered system for sales calls. Your role will be crucial in analyzing and processing data to train and refine our AI models, ensuring high accuracy and efficiency in real-world scenarios.

**Responsibilities:**

- Analyze large datasets to identify patterns and insights.

- Work closely with AI engineers to provide data for training AI models.

- Develop and implement statistical models and machine learning algorithms.

- Ensure data quality and integrity throughout the project.

**Qualifications:**

- Strong background in data science and analytics.

- Proficiency in data mining, machine learning, and statistical analysis.

- Experience with Python, R, SQL, and big data technologies.

- Bachelor’s or Master’s degree in Data Science, Statistics, or a related field.

We are seeking an experienced AI/Machine Learning Engineer to develop a sophisticated AI system for cold lead calling that mimics human conversation. This role involves designing and implementing AI models for natural language processing and voice generation, ensuring the system sounds as natural and human-like as possible.

**Responsibilities:**

- Design and develop AI models for natural language understanding and speech generation.

- Collaborate with data scientists to process and use large datasets for model training.

- Implement machine learning algorithms and fine-tune them for optimal performance.

- Ensure the AI system’s compatibility with different languages and accents.

**Qualifications:**

- Proven experience in AI and machine learning, particularly NLP and voice generation.

- Strong programming skills in Python, TensorFlow, PyTorch, or similar frameworks.

- Excellent problem-solving abilities and a strong understanding of AI ethics.

- Bachelor’s or Master’s degree in Computer Science, AI, or related field.

We are looking for a lawyer who can review and potentially generate contracts for our company's partnerships with life science companies and patient data resellers. The primary focus of this role will be to ensure that the contracts meet legal requirements and protect our interests. The successful candidate will have experience in contract law and a solid understanding of the life science and healthcare industry. They will be responsible for reviewing existing contracts, identifying any issues or legal risks, and making recommendations for improvements. Additionally, they may be required to draft new contracts as needed. Strong attention to detail and excellent communication skills are essential for this role.

Relevant skills:

- Contract law

- Legal research

- Life science industry knowledge

- Healthcare industry knowledge

Zazz is seeking a talented and experienced Data Scientist with expertise in macroeconomics data analysis and a passion for data visualization. As a key member of our team, you will play a pivotal role in redesigning and restructuring our macroeconomics-based dashboard for one of our government projects. The ideal candidate will bring a deep understanding of macroeconomic indicators, statistical analysis, and the ability to translate complex data into insightful visualizations that enhance user comprehension.

Responsibilities:

Macroeconomics Data Analysis:

Conduct in-depth analysis of macroeconomic data relevant to Qatar, including but not limited to GDP, inflation, employment, and trade indicators.

Collaborate with stakeholders to understand the specific requirements and nuances of macroeconomic modeling within the existing dashboard.

Data Visualization:

Work closely with the creative team to conceptualize and design compelling data visualizations that effectively communicate macroeconomic trends and insights.

Utilize advanced visualization tools and techniques to present complex data in a user-friendly manner.

Model Interpretation:

Provide insights into the economic models integrated into the dashboard, ensuring that data visualizations accurately represent underlying economic trends.

Collaborate with the development team to ensure seamless integration of visualizations into the dashboard framework.

Collaboration and Communication:

Collaborate with cross-functional teams, including developers, designers, and stakeholders, to ensure alignment on data interpretation and visualization goals.

Clearly communicate complex data insights to non-technical stakeholders and contribute to collaborative decision-making processes.

Qualifications:

Educational Background:

Master’s or Ph.D. in Data Science, Economics, Statistics, or a related field.

Experience:

Proven experience as a Data Scientist with a focus on macroeconomics data analysis.

Strong portfolio demonstrating expertise in creating impactful and insightful data visualizations.

Technical Skills:

Proficiency in data analysis tools such as Python, R, or similar.

Experience with data visualization libraries (e.g., D3.js, Plotly, Tableau).

Familiarity with database systems and SQL.

Domain Knowledge:

In-depth understanding of macroeconomic indicators and economic modeling.

Communication Skills:

Excellent communication and presentation skills, with the ability to convey complex data concepts to diverse audiences.

Team Player:

Proven ability to collaborate effectively in a team environment.

What are we creating?

--------------------------

We are creating an AI powered product, that interacts with data related to companies, jobs, industries, and also the applicants (job seekers).

Companies or applicants must be able to chat with the product, on a specific topic. For that, we need a customized GPT based chat, which we can train based on PDF, Doc, Audio, or video files.

We need to fine tune the chat bot to return desired type of responses. It will answer questions about our product, or about the industry, or maybe some statistics related to the field.

Also, the product should have a matching capability between companies, job posts, and candidates, based on past data and current data such as resume and job details and etc.

More details to be discussed further.

Also, in our platform we want to have things like automatically importing information from resume and fill the application-form with data. Or automatically import job details from a PDF or an online job post and fill job details in a form.

Who are we looking for?

-----------------------------

We are looking for an independent (not an agency/team) AI/ML developer with relevant experience.

- Experience creating Deep Learning AI models.

- Experience creating NLP, GPT based chat bots.

- Experience in multi-talent AI development (imagine the AI being custom for each client we have).

- Experience in AI based data extraction from documents.

- Fluent English.

- 5+ years of AI/ML experience.

- Education (Bachelors +) in related fields (AI, ML, Math, Computer Science, or Data Science)

Team/Work Environment?

------------------------------

For now, we a small team and a new startup company with investor funding. We will be growing in size as we progress. You will be the first AI developer in team. We currently have other application developers and designers.

Term?

-------

As you may already guess, this will be a long-term role.

Interview Process?

----------------------

1) Apply with a custom proposal, briefly explaining your relevant experience and why you would be fit for the role.

2) I will talk to you in a general 1-hour video call. This call will be partly general and partly technical.

Thank you!

-------------

Please apply if you are interested.

Job Description:

We are in search of a talented and experienced Natural Language Processing (NLP) specialist to join our team on a part-time/full-time basis. The primary focus will be to integrate sentiment analysis into our trading algorithm, enhancing its ability to make data-driven decisions based on market sentiments derived from various textual sources.

Responsibilities:

Develop and implement NLP models for sentiment analysis, specifically tailored for financial markets.

Extract and analyze sentiment from a range of sources, including news articles, social media, financial reports, and market commentary.

Integrate sentiment analysis models with existing trading algorithms to inform trading strategies.

Collaborate with data scientists and developers to refine data pipelines and optimize algorithm performance.

Conduct backtesting and present insights on the impact of sentiment analysis on trading outcomes.

Stay updated with the latest developments in NLP and apply cutting-edge techniques to our models.

Requirements:

Proven experience in NLP and sentiment analysis.

Strong programming skills in Python, including experience with NLP libraries (such as NLTK, spaCy, or similar).

Background in finance or experience working with financial data is highly preferred.

Familiarity with machine learning and data science principles.

Excellent analytical and problem-solving abilities.

Strong communication skills and ability to work in a collaborative environment.

Degree in Computer Science, Linguistics, Data Science, or a related field.

What We Offer:

Opportunity to work on innovative projects in the intersection of finance and AI.

Competitive salary or hourly rate.

Flexible working hours and potential for long-term collaboration.

A dynamic and supportive team environment.

Please attach your Cv along with cover letter

We are looking for 5 to 12 years of experience candiates from India, as there are multiple requirements.

Objectives of this role

Design and develop machine learning algorithms and deep learning applications and systems for [Company X]

Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks

Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications

Identify differences in data distribution that could potentially affect model performance in real-world applications

Ensure algorithms generate accurate user recommendations

Stay up to date with developments in the machine learning industry

Responsibilities

Study and transform data science prototypes and apply appropriate machine learning algorithms and tools

Run machine learning tests and experiments, and document findings and results

Train, retrain, and monitor machine learning systems and models as needed

Construct optimized data pipelines to feed machine learning models

Consult with managers to determine and refine machine learning objectives

Extend existing machine learning libraries and frameworks

Skills and qualifications

Impeccable analytical and problem-solving skills

Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms

In-depth knowledge of machine learning frameworks, like Keras or PyTorch

Familiarity with data structures, data modeling, and software architecture

Excellent time management and organizational skills

Desire to learn

Preferred qualifications

Proven experience as a machine learning engineer or similar role

Familiarity with Python, Java, and R

Excellent communication and collaboration skills

Innovative mind with a passion for continuous learning

General knowledge of building machine learning systems

Bachelor’s degree (or equivalent) in computer science, mathematics, or related field

Job Description:

We are looking for a Data Entry and Analysis Specialist to efficiently handle the collection, organization, and analysis of data from our Point of Sale (POS) systems. The successful candidate will play a crucial role in maintaining accurate records, updating databases, and generating insightful reports to support decision-making processes within the company.

Responsibilities:

Retrieve and compile data from Point of Sale (POS) systems across our multiple restaurants.

Accurately input and update data into our central database and spreadsheets.

Perform regular data quality checks to ensure the integrity of the information.

Collaborate with various departments to gather relevant information for analysis.

Generate reports and present key findings to support business decisions.

Create visual representations of data through graphs and charts when necessary.

Analyze trends and patterns to identify opportunities for operational improvement.

Assist in the development and implementation of data management protocols.

Stay informed about industry trends and best practices in data analysis.

Collaborate with IT and other teams to troubleshoot and resolve data-related issues.

Qualifications:

Proven experience in data entry and analysis, preferably in a hospitality or restaurant industry setting.

Proficient in using Microsoft Excel, Google Sheets, and other data management tools.

Strong attention to detail and accuracy in data entry.

Excellent analytical and problem-solving skills.

Ability to work independently and collaboratively within a team.

Effective communication skills to convey data insights to non-technical stakeholders.

Familiarity with Point of Sale (POS) systems is a plus.

Bachelor's degree in a relevant field (e.g., Business, Data Science, Information Technology) is preferred.

Looking for a highly accomplished and logical computer scientist/mathematician who deeply understands data structures and algorithms. Bonus if you have read: https://www.amazon.com/Thinking-Systems-Donella-H-Meadows/dp/1603580557.

I have been in a business context for the past two years, and need to revert to a computer science perspective because of problems in the company. I am looking for someone to meet with for 1 hour every day until I have regained this perspective.

When you apply, please include the problem you wanted to solve with computers when you first started.

Looking for PhDs or exceptional professionals in the field of Data Science for Content Advisory board of an EdTech startup

1) Quantitative field: Data Science, ML, AI, Economics, Econometrics, Statistics, Engineering, Operations research, Mathematics, Computation etc.

2) Retired professionals/professors also welcome to share their experience with us

Do not hesitate to contact in case of any questions

Looking for PhDs or exceptional professionals in the field of Data Science for Content Advisory board of an EdTech startup

1) Quantitative field: Data Science, ML, AI, Economics, Econometrics, Statistics, Engineering, Operations research, Mathematics, Computation etc.

2) Retired professionals/professors also welcome to share their experience with us

Do not hesitate to contact in case of any questions

I am seeking a skilled data science professional to enhance and expand upon 4 existing projects. The ideal candidate will have a strong background in data science and be able to improve upon existing models, algorithms, and techniques. The main goals of this project include improving data quality, reducing errors, and increasing the accuracy of predictions while being able to communicate changes and enhancements made. The candidate should also be able to develop new models and features to enhance the functionality and performance of our existing projects. This project will involve working with large datasets, analyzing data, and implementing machine learning algorithms. The candidate will be able to take these projects and improve their usability to provide insights to industry applicable problems. I am looking to have the current GitHub files revamped to ensure reproducibility on these projects.

The four projects are:

- Amazon_Monitor_Scraper using Selenium

- Renewable Energy Investment Dashboard using R Shiny

- Hospital Readmission Rate predictive modeling

- Kaggle Ames Housing Project

The proper candidate will have proper experience including:

- Data science

- Machine learning

- Programming languages such as Python, and R

- Data visualization tools such as R Shiny

- Familiarity with technical writing and Github repositories

I am a Data Scientist with almost 2 years of experience. For past 6 months I've had a break from DS due to company's reorganization. I want to get back on track and look for a Data Science role at Regular/Mid level.

I am looking for experienced Data Scientist who will mentor me - show me what are my strengths and what are my weaknesses, show me what to focus on, what materials to use, suggest projects for learning and most importantly - conduct mock interviews with me every now and then. Somebody with experience in interviewing for Data Science positions would be great.

Please share your experience in Data Science in offers.

About Us:

We are a dynamic and growing data science consultancy founded by a professional with an MS in Data Science from Northwestern University. Our mission is to provide cutting-edge data solutions to clients across various industries. We are seeking a skilled Social Media Marketer to help us expand our online presence, attract new clients, and build a robust pipeline of business opportunities.

Responsibilities:

LinkedIn Strategy: Develop and execute a comprehensive LinkedIn marketing strategy to promote our data science services.

Content Creation: Create engaging and relevant content for LinkedIn posts, articles, and updates that highlight our expertise, case studies, and industry insights.

Audience Engagement: Foster meaningful interactions with our target audience by responding to comments, messages, and inquiries promptly and professionally.

Lead Generation: Implement strategies to generate leads and inquiries from potential clients interested in data science and analytics services.

Networking: Build and maintain relationships with key influencers, potential clients, and industry professionals on LinkedIn.

Analytics and Reporting: Monitor the performance of LinkedIn campaigns, track engagement metrics, and provide regular reports on the effectiveness of our social media efforts.

Requirements:

Proven experience as a Social Media Marketer, preferably in the B2B or technology sector.

Strong understanding of LinkedIn's platform, algorithms, and best practices.

Exceptional written communication skills with the ability to create engaging and informative content.

Proficiency in using social media analytics tools to track performance and make data-driven improvements.

Demonstrated ability to generate leads and create a robust sales pipeline through social media marketing.

Knowledge of data science and analytics concepts is a plus.

Creative thinking and the ability to develop innovative social media strategies.

Self-motivated, organized, and capable of working independently.

What We Offer:

Competitive compensation based on experience and performance.

Flexible working arrangements.

Opportunity to work with a growing and innovative data science consultancy.

Potential for long-term collaboration and growth.

How to Apply:

If you are a talented Social Media Marketer with a passion for data science and analytics, we'd love to hear from you! Please submit your Upwork proposal outlining your relevant experience and strategies for promoting data science services on LinkedIn.

We are seeking an AI Software Developer with a strong background in Data Science and machine learning. As an AI Software Developer, you will be responsible for designing and implementing AI-based solutions that enhance our software products. This position requires expertise in developing AI algorithms, analyzing large datasets, and creating predictive models. The ideal candidate should have a deep understanding of machine learning techniques and be proficient in programming languages such as Python or R. If you have a passion for AI and want to contribute to cutting-edge projects, we would love to hear from you.

Skills required:

- AI development

- Data Science

- Machine Learning

- Algorithm design

- Big data analysis

- Predictive modeling

- Python

- R