Top Data Science Jobs

About Us:

We possess real-time access to comprehensive import and export records from 18 countries. We are seeking an accomplished Mid Data Scientist to join our team on a freelance basis. In this role, you will oversee the project lifecycle from Proof of Concept (PoC) to designing and implementing scalable solutions in Natural Language Processing (NLP), Predictive Modeling, and Decision Support Systems. Your responsibilities will encompass ensuring deliverable quality, collaborating across teams, and guiding less experienced colleagues through projects.

Responsibilities:

Manage projects from PoC stage to designing and implementing scalable solutions in NLP, Predictive Modeling, and Decision Support Systems.

Define and validate data requirements essential for Data Science solutions.

Grasp customer business problems and determine appropriate Data Science solutions.

Conduct Exploratory Data Analysis and develop AI models for addressing specific business issues.

Validate technical performance and business value of developed AI solutions.

Collaborate with Product Managers on viable Data Science solutions.

Work alongside Data and Software Engineers to deploy production-grade Data Science solutions.

Mentor junior colleagues through project life cycles.

Desired Competency & Experience:

Bachelor's degree in a relevant field (Data Science, Computer Science, Mathematics, Engineering, Statistics, Physics, etc.).

Master's or PhD degree in a relevant field (Data Science, Computer Science, Mathematics, Engineering, Statistics, Physics, etc.) is advantageous.

2-5 years of professional experience in analyzing, constructing, and validating AI models using structured and unstructured data.

Hands-on experience developing impactful AI models, particularly for text analytics applications.

Proficiency with ML frameworks such as scikit-learn, TensorFlow, Keras, pytorch.

Proficiency in Python, software engineering concepts, and best practices.

Familiarity with SQL, Glue, Spark, and code versioning tools (git).

Comfort with working on large datasets, including data querying, filtering, and cleansing.

Proficiency in building complex reports, queries, and dashboards at scale.

Stay current with AI, Data Science, and Big Data Algorithm trends.

While not mandatory, knowledge of NLP is advantageous.

Showcase innovative "out of the box" thinking, critical for our competitive edge in insights from publicly available data.

Embrace a positive "Can do" attitude and exhibit exceptional attention to detail.

If you believe that your skills and expertise align with the requirements of this position, please send us your CV for review. Additionally, if you have a portfolio or examples of previous work, we would be interested in seeing them. We are eager to assess your qualifications and establish a cooperative relationship as soon as possible.

We look forward to hearing from you.

Hi,

We're a stealth-mode startup. We are building an AI platform to unearth deeply rooted insights.

We're looking to partner with external agencies who can help us with talent in the front-end, back-end and data science areas. This will not be a completely outsourced project but more like staff augmentation.

Apply with your rate card and customer testimonials from previous work.

We are looking to work with agencies in Eastern Europe and Latin America. If you're an agency in any other region, please do not bid for this project.

Best regards

We're looking for an expert Generative AI developer to create a Customer Support Chatbot for our E-commerce platform. Your mission is to build an efficient, customer-friendly chatbot that understands and responds to inquiries seamlessly.

Responsibilities:

1. Develop an advanced customer support chatbot using AI.

2. Use data science to enhance its performance.

3. Craft effective prompts and conversation flows.

4. EmployNLPtechniquesfornaturalinteractions.

5. Collaborate on UX/UI integration.

Skills Needed:

• Expertise in chatbot development.

• Proficient in AI, Python, ML, and Data Science.

• Experience with prompt engineering and ChatGPT.

• Strong NLP knowledge.

• Self-driven and deadline-oriented.

• Excellent communication and teamwork.

If you're passionate about AI-driven chatbots and want to revolutionize customer support, apply now.

Help us elevate our E-commerce experience!

We are seeking a skilled Data Analyst to join our dynamic digital marketing team. As a Data Analyst, you will play a crucial role in driving data-driven decision-making, optimizing marketing strategies and enhancing campaign performance. Your insights and expertise will contribute to the company's success by transforming raw data into actionable insights that inform our marketing initiatives.

Responsibilities:

- Collaborate with cross-functional teams to identify key performance indicators (KPIs) and data requirements for various marketing campaigns.

- Collect, clean and preprocess large datasets from multiple sources, ensuring data accuracy and integrity.

- Analyze marketing data to provide insights into customer behavior, campaign effectiveness and market trends.

- Develop and maintain dashboards, reports and visualizations to communicate data-driven insights to stakeholders.

- Identify opportunities for optimization and improvement within marketing campaigns, targeting and conversion funnels.

- Conduct A/B testing and other experiments to measure the impact of different strategies on key metrics.

- Utilize statistical analysis techniques to derive actionable insights and recommendations.

- Collaborate with data engineers and data scientists to design and implement data pipelines and predictive models.

- Stay up-to-date with industry trends, tools and best practices in data analysis and digital marketing.

- Present findings and insights to both technical and non-technical audiences, effectively communicating complex concepts.

Qualifications:

- A degree in Data Science, Statistics, Mathematics, Marketing or a related field. Master's degree preferred.

- Proven experience in data analysis and visualization using tools such as Excel, Tableau, Power BI or similar platforms.

- Proficiency in programming languages such as Python or R for data manipulation and analysis.

- Familiarity with digital marketing concepts, including SEO, SEM, social media, email campaigns and web analytics.

- Strong analytical and problem-solving skills, with the ability to translate data into actionable insights.

- Experience with A/B testing, experimental design and statistical analysis.

- Knowledge of databases and SQL for data extraction and manipulation.

- Excellent communication skills to convey complex insights effectively to both technical and non-technical audiences.

- Detail-oriented with a commitment to data accuracy and quality.

Benefits:

- Competitive salary and benefits package.

- Opportunity to work in a fast-paced and innovative digital marketing environment.

- Collaborative and inclusive team culture that encourages growth and professional development.

- Access to cutting-edge tools and technologies to enhance data analysis capabilities.

If you're a dedicated Data Analyst with a passion for unraveling the mysteries of data in the context of digital marketing, we encourage you to apply and be a driving force behind our marketing success.

We're looking for a data science expert in the field of carbon footprint measurement and visualization. We are looking to create a scorecard for a manufacturing firm that visualizes the various aspects of their ideation, design, prototyping, manufacturing, shipping/inventory, installation, service and end-of-life processes. The goal of this proejct is to take the information we have collected develop mock-ups of what the scorecard could look like. We can provide very detailed information post-hire. We need someone with demonstrated expertise in carbon footprinting data visualization, so please be prepared to show us examples of prior work. We will not consider anyone without such example.

We're looking for a data science expert in the field of carbon footprint measurement and visualization. We are looking to create a scorecard for a manufacturing firm that visualizes the various aspects of their ideation, design, prototyping, manufacturing, shipping/inventory, installation, service and end-of-life processes. The goal of this proejct is to take the information we have collected develop mock-ups of what the scorecard could look like. We can provide very detailed information post-hire. We need someone with demonstrated expertise in carbon footprinting data visualization, so please be prepared to show us examples of prior work. We will not consider anyone without such example.

We are looking for an experienced AI/ML architect, who has built AI/ML practices from scratch, and is updated with the latest trends in this field. We would love someone with a strong background in data science, machine learning, and artificial intelligence, with proficiency in programming languages commonly used in AI/ML, such as Python, R, or TensorFlow. Experience in building and deploying ML models in production environments, knowledge of cloud-based AI/ML services and platforms, and familiarity with big data technologies and data engineering, will be highly appreciated.

Ideally this is someone who can:

1. Design Solutions: Work with us to understand our business, our key problem statements, and the competitive landscape, to design end-to-end AI/ML solutions that align with business objectives.

2. Select the right Technology: Identify suitable AI/ML technologies, frameworks, and tools based on our specific requirements and constraints, considering factors such as data volume, complexity, and real-time processing needs.

3. Advise on Data Management: Help us choose the right data collection, storage, and preprocessing strategies.

4. Develop Models: Build Oversee the development of ML models, including selecting appropriate algorithms, feature engineering, and hyper parameter tuning

5. Design for Scalability and Performance: Architect systems that can scale to handle large volumes of data and provide efficient real-time predictions. Optimize AI/ML pipelines for speed and performance.

6. Take care of Integration: Integrate AI/ML components into existing software systems or applications, ensuring seamless functionality and compatibility.

7. Advise on Security, Privacy, Ethics and Fairness: Address security and privacy concerns related to AI/ML solutions. Protect sensitive data and implement security best practices. Ensure that AI/ML models adhere to ethical guidelines and promote fairness and transparency in decision-making.

8. Build Model Monitoring and Maintenance protocols: Establish monitoring mechanisms to track model performance over time and implement strategies for model retraining and maintenance.

Data Engineer

About the Role

Location: Remote, Residing in Australia (Melbourne/Sydney)

Reports to: Program Manager and CTO

Type: Fixed Term Contract

Duration: 6+ months

Role Purpose

The Data Engineer will design, build and integrate data from multiple sources in order to prepare a trusted data infrastructure that supports the data and analytics capabilities for one of our clients. This position develops the processes for data acquisition, transformation, migration, verification, modelling and mining.

The core purpose of this position will be to migrate data over from an AWS Redshift instance to a new greenfield Snowflake instance. This will include, but not limited to, building SQL/Python scripts/processes, designing/modelling the environment, orchestration, and integrations.

Key Responsibilities

•Analysis of stored procedures, functions, views, and other SQL objects.

• Analysis of Tableau reports/dashboards and their corresponding data sources.

• Translating reports into data and functional requirements.

• Designing and data modelling the to-be platform.

• Building of SQL code to process data between layers (Bronze, Silver, Gold) and apply transformations.

• Orchestration of SQL code using Airlfow and/or Talend.

• Organizing and managing tasks through a Scrum Agile methodology.

• Running UAT sessions with end stakeholders.

• Deployments of code between environments. This will also include DevOps integration through Bit Bucket.

• Writing of solution documentation and supporting maintenance of developed solutions.

• Executing test scripts and unit tests of developed code within the environment.

• Collaboration with overall project team and business stakeholders.

Essential Knowledge, Skills, and Experience

• Bachelor’s Degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, Actuary or a similar related field.

• Minimum 3 years of experience as a Data Engineer designing, building, and optimizing data pipelines, architecture and data sets.

• Extensive experience in building processes supporting data transformation, data structures and the manipulation, processing and extraction of value from datasets.

• Extensive experience using SQL and Python.

• Experience with data pipeline and workflow management tools, and Cloud data platforms.

• Knowledge of data platform concepts such as data lakes, data warehousing, big data

• processing, real time processing architecture, scheduling, and monitoring of ETL/ELT workflows.

• Experience with Snowflake and Relational Databases.

• Experience with Talend and/or Airflow would be highly advantageous.

• Knowledge of Agile Software Development methodologies.

• Strong organizing and prioritizing skills with the ability to work across multiple work streams simultaneously.

• Strong process orientation with solid documentation skills.

• Strong analytical and problem-solving skills.

Our team is committed to driving data-informed decisions through the power of visual storytelling and insightful metrics. We're seeking a talented individual to enhance our data-driven strategies and enhance our understanding of key performance indicators.

Responsibilities

(1) Collaborate with cross-functional teams to identify data requirements and metrics for various projects.

(2) Design and develop visually compelling dashboards, reports, and interactive visualizations to communicate complex data trends and insights.

(3) Utilize industry-leading data visualization tools (e.g., Tableau, Power BI, D3.js) to create informative and user-friendly visuals.

Interpret data, analyze results, and provide actionable recommendations based on visualization outcomes.

(4) Stay updated with emerging trends in data visualization and best practices, incorporating them into our visualization strategies.

Bonus Points:

- Experience working with Alteryx or similar software solution

Qualifications

- Bachelor's or Master's degree in Data Science, Information Design, Computer Science, Statistics, or related field.

- Proven experience in data visualization, with a portfolio showcasing your work.

- Proficiency in data visualization tools such as Tableau, Power BI, D3.js, etc.

- Strong understanding of data analysis techniques and statistical concepts.

- Excellent communication skills to effectively convey complex insights to non-technical stakeholders.

- Attention to detail and a keen eye for design aesthetics.

- Ability to work collaboratively in a fast-paced, team-oriented environment.

Confidence Gap

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.

About Keyo

We are building a company that reflects the world in which we want to live. One where we can enjoy the convenience of biometrics without compromising our privacy or personal freedom. To make this a reality, our technology allows businesses of all kinds to adopt biometric authentication quickly and easily. With Keyo, people are clocking into work, paying for a coffee, and unlocking doors with a wave of their hand. Our team is remote first, by design. Our talented employees work from all over the world because we want Keyo to reflect the people who use it: global citizens who bring their diverse perspectives to solve unique problems.

We are at an exciting juncture and looking for new voices and ideas to continue building our vision for the company. Keyo believes that the things that make us unique are our greatest strengths. We have an inclusive, global, remote-first workplace that comprises people from all different lifestyles, backgrounds, abilities, and nationalities.

Please note: Keyo is undergoing SOC2 compliance and performs background checks, and provides security training to team members.

check the attached codebase

currently we are using combined dataset from this github ripo

https://github.com/CPHSLab/Stress-Detection-in-Nurses

I need someone who can combine data from this database "https://datadryad.org/stash/dataset/doi:10.5061/dryad.5hqbzkh6f"

Project

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9159985/

About Us:

Pairy is a dynamic and innovative tech startup focused on revolutionizing the world of influencer marketing. Our app, built using Flutter and developed by a talented team in India, connects brands and influencers to create impactful partnerships. We're looking for a passionate and experienced Machine Learning Engineer to join our team and develop a cutting-edge matching system to enhance our platform.

Job Description:

As a Machine Learning Engineer at Pairy, you will play a crucial role in developing and implementing a state-of-the-art matching system that connects brands and influencers effectively. You will work closely with our development team and data scientists to create an intelligent recommendation engine using machine learning techniques.

Key Responsibilities:

Algorithm Development: Design, develop, and implement machine learning algorithms that can analyze user data, influencer profiles, and brand preferences to suggest ideal matches.

Data Collection and Preprocessing: Collaborate with data engineers to collect, clean, and preprocess large datasets for training and testing machine learning models.

Model Training: Train and fine-tune machine learning models, including recommendation algorithms, using appropriate frameworks and libraries.

Evaluation: Evaluate model performance using relevant metrics and iterate on model improvements.

Integration: Work closely with app developers to seamlessly integrate the matching system into the existing Flutter-based app.

Scaling: Ensure the matching system can scale with growing user and influencer databases.

Continuous Learning: Stay up-to-date with the latest advancements in machine learning and recommend relevant innovations to enhance the matching system.

Requirements:

Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field.

Proven experience in machine learning, including recommendation systems and data analysis.

Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).

Experience with data preprocessing, feature engineering, and model evaluation.

Familiarity with app development using Flutter is a plus.

Strong problem-solving skills and ability to work independently.

Excellent communication skills and a collaborative mindset.

Strong analytical and critical-thinking abilities.

Prior experience in influencer marketing or a similar domain is a plus.

About Us:

Pairy is a dynamic and innovative tech startup focused on revolutionizing the world of influencer marketing. Our app, built using Flutter and developed by a talented team in India, connects brands and influencers to create impactful partnerships. We're looking for a passionate and experienced Machine Learning Engineer to join our team and develop a cutting-edge matching system to enhance our platform.

Job Description:

As a Machine Learning Engineer at Pairy, you will play a crucial role in developing and implementing a state-of-the-art matching system that connects brands and influencers effectively. You will work closely with our development team and data scientists to create an intelligent recommendation engine using machine learning techniques.

Key Responsibilities:

Algorithm Development: Design, develop, and implement machine learning algorithms that can analyze user data, influencer profiles, and brand preferences to suggest ideal matches.

Data Collection and Preprocessing: Collaborate with data engineers to collect, clean, and preprocess large datasets for training and testing machine learning models.

Model Training: Train and fine-tune machine learning models, including recommendation algorithms, using appropriate frameworks and libraries.

Evaluation: Evaluate model performance using relevant metrics and iterate on model improvements.

Integration: Work closely with app developers to seamlessly integrate the matching system into the existing Flutter-based app.

Scaling: Ensure the matching system can scale with growing user and influencer databases.

Continuous Learning: Stay up-to-date with the latest advancements in machine learning and recommend relevant innovations to enhance the matching system.

Requirements:

Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field.

Proven experience in machine learning, including recommendation systems and data analysis.

Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).

Experience with data preprocessing, feature engineering, and model evaluation.

Familiarity with app development using Flutter is a plus.

Strong problem-solving skills and ability to work independently.

Excellent communication skills and a collaborative mindset.

Strong analytical and critical-thinking abilities.

Prior experience in influencer marketing or a similar domain is a plus.

Looking for an analyst on a part-time/full-time basis who can work many hours a week depending on availability and skillset.

You will be required to log on remotely to complete certain tasks. A time tracker is required

MUST HAVE HIGH-SPEED INTERNET CONNECTION and at least 16GB Of RAM on the computer. Microsoft PowerBI installed or Tableau

MUST BE WILLING TO VALIDATE WORK, it is not enough to write a formula and hope for the best

Looking for an experienced data analyst

Examples of tasks:

• Design, develop, and maintain Power BI / Tableau reports and dashboards to meet business requirements.

• Utilize DAX, M-Code, and Tableua for complex data manipulations, calculations, and transformations.

• Implement dimensional data modeling and design methodologies to support business processes and data structures

• Identify, troubleshoot, and resolve issues impacting the accuracy and delivery of reports.

• -Create wireframes

• -create storyboards

• -Documentation/SOPS/user guides

• -Finding insights and drawing conclusions

• -Formatting (visually appealing)

-Other tools

• -Creating Power Automate Workflows

• -Report Builder Reports

• -PowerApps

• Tableau

NOT LOOKING FOR A DEVELOPER THAT JUST FOLLOWS ORDERS looking for someone that can provide solutions. That can teach me not the other way around.

40% of the time is spent analyzing data. It is not enough to create a measure or show a chart must dig into the data. What is the data telling us? these fields are blank is this ok? so many nulls is this right? etc.

40% asking the right questions in order to comprehend and create the business intelligence report. being innovative and condensing disparate pieces of data into actionable insights or succinct reports for senior executives. Proficient with PowerBI, Mcode, and DAX

20 % documentation to help translate business requirements to technical requirements

-Use current and emerging Statistics, Machine Learning and Data Science methods

Innovate new analytic solutions that serve unmet customer needs

-Communicate analytical results clearly and succinctly-

-Work closely with me to make value-added analytical services available to stakeholders

-Be creative, collaborative in nature, and a self-starter

Must have:

PowerBI

SQL

Preferred

Python/ML

Adobe

Responsibilities:

Collaborate with clients to understand their business goals and provide data-driven solutions.

Design, develop, and deploy machine learning models, utilizing advanced statistical modeling techniques.

Clean, preprocess, and transform data, creating robust data pipelines for efficient handling of large-scale datasets.

Integrate Al/ML models into production systems and ensure their seamless deployment.

Develop visually compelling data visualizations.

Stay up-to-date with the latest advancements in AI, ML and Data Science.

Requirements:

Bachelor's or advanced degree in Computer Science, Data Science, Statistics, or a related field.

Proven minimum 3 vears experience as a Data Scientist

Strong foundation in Al/ML engineering and hands-on experience in deploying machine learning models.

Proficiency in programming languages (Python or R), libraries and frameworks (e.g., TensorFlow, PyTorch).

Proficient in data cleaning, preprocessing, and feature engineering for high-quality datasets.

Familiarity with algorithms such as regression, classification and time series forecasting.

Ability to translate complex data into compelling visual stories.

Benefits

§ Salary in SGD

Fully Work From Home flexibility

Responsibilities:

Collaborate with clients to understand their business goals and provide data-driven solutions.

Design, develop, and deploy machine learning models, utilizing advanced statistical modeling techniques.

Clean, preprocess, and transform data, creating robust data pipelines for efficient handling of large-scale datasets.

Integrate Al/ML models into production systems and ensure their seamless deployment.

Develop visually compelling data visualizations.

Stay up-to-date with the latest advancements in AI, ML and Data Science.

Requirements:

Bachelor's or advanced degree in Computer Science, Data Science, Statistics, or a related field.

Proven minimum 3 vears experience as a Data Scientist

Strong foundation in Al/ML engineering and hands-on experience in deploying machine learning models.

Proficiency in programming languages (Python or R), libraries and frameworks (e.g., TensorFlow, PyTorch).

Proficient in data cleaning, preprocessing, and feature engineering for high-quality datasets.

Familiarity with algorithms such as regression, classification and time series forecasting.

Ability to translate complex data into compelling visual stories.

Benefits

§ Salary in SGD

Fully Work From Home flexibility

Hello!

I am excited to share two long-term project opportunities on behalf of our clients based in the US. I am on the lookout for passionate and dedicated individuals.

1. Data Science Project

Scope: Dive into multiple datasets, perform Exploratory Data Analysis (EDA), and craft cutting-edge machine learning models that can predict outcomes effectively.

Requirements: A solid understanding of statistical models, data preprocessing techniques, and machine learning algorithms. Familiarity with tools such as Python, R, TensorFlow, or similar is a plus.

More Info: Specific project details, goals, and datasets will be shared with selected candidates.

2. AI Gaming Project

Scope: Develop an Artificial Intelligence model using techniques such as Deep Reinforcement Learning, Convolutional Neural Networks (CNN), and Autoencoders to master and play a custom made video game.

Application Process:

If either of these projects aligns with your expertise, we'd love to hear from you! Please apply by sharing:

A brief summary of your relevant experience.

Information about similar projects you've successfully completed in the past.

Any other credentials or achievements that you believe would add value to your application.

Looking forward to potentially working together. Thank you for considering this opportunity.

Warm regards,

Vincent

Hello!

I am excited to share two long-term project opportunities on behalf of our clients based in the US. I am on the lookout for passionate and dedicated individuals.

1. Data Science Project

Scope: Dive into multiple datasets, perform Exploratory Data Analysis (EDA), and craft cutting-edge machine learning models that can predict outcomes effectively.

Requirements: A solid understanding of statistical models, data preprocessing techniques, and machine learning algorithms. Familiarity with tools such as Python, R, TensorFlow, or similar is a plus.

More Info: Specific project details, goals, and datasets will be shared with selected candidates.

2. AI Gaming Project

Scope: Develop an Artificial Intelligence model using techniques such as Deep Reinforcement Learning, Convolutional Neural Networks (CNN), and Autoencoders to master and play a custom made video game.

Application Process:

If either of these projects aligns with your expertise, we'd love to hear from you! Please apply by sharing:

A brief summary of your relevant experience.

Information about similar projects you've successfully completed in the past.

Any other credentials or achievements that you believe would add value to your application.

Looking forward to potentially working together. Thank you for considering this opportunity.

Warm regards,

Vincent

We are a SaaS application looking for help & guidance setting up tracking and analytics and reports for both our website and application.

Some of our goals are to:

- set up GTM & GA4 correctly

- store all user events in a single location (e.g. BigQuery) to have a wholistic view of accounts

- track how our application is being used (features, integrations, etc.)

- integrate analytics data with HubSpot

- know where traffic is coming from

- create a sales & marketing funnel

- track conversion rates at each stage of the funnel

- track paid marketing campaign performance

- create user segments

Requirements:

- Expert in Google Analytics

- Export in Google Tag Manager

- Experience with data warehouses

- Experience with ETL/Reverse ETL

- Experience with HubSpot

- Solid Data Science knowledge & experience

We are seeking a highly motivated and skilled software engineer to join our dynamic and forward-thinking tech team. As a key member of our team, you will play a crucial role in developing cutting-edge software solutions that push the boundaries of technology and innovation.

Key Responsibilities:

Collaborate with cross-functional teams to design, develop, and implement software applications that meet business needs and industry standards.

Participate in the entire software development lifecycle, from concept and design to testing, deployment, and maintenance.

Write efficient, maintainable, and well-documented code while adhering to coding standards and best practices.

Identify and address technical challenges, troubleshoot issues, and optimize application performance.

Stay up-to-date with the latest industry trends, technologies, and best practices to continuously enhance our products.

Contribute to architectural discussions and decisions, and provide valuable insights to improve software design and functionality.

Qualifications:

Bachelor's degree in Computer Science, Software Engineering, or related field (Master's degree preferred).

Proven experience in software development, including designing, coding, testing, and debugging.

Proficiency in programming languages such as Java, Python, C++, or similar languages.

Strong understanding of software development principles, data structures, and algorithms.

Familiarity with software development methodologies, version control systems, and agile practices.

Excellent problem-solving skills and the ability to adapt to new technologies and challenges.

Effective communication skills to collaborate with team members, stakeholders, and clients.

Additional Skills (Preferred but not required):

Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and microservices architecture.

Knowledge of web development technologies (HTML, CSS, JavaScript) and frameworks (React, Angular, Vue).

Familiarity with DevOps practices and tools for continuous integration and continuous deployment.

Background in machine learning, artificial intelligence, or natural language processing.

Join us in our innovative journey as we create software solutions that impact industries and shape the future of technology. This is an exciting opportunity to work in a fast-paced environment, collaborate with talented professionals, and contribute to projects that make a difference. If you are passionate about software engineering and eager to grow in a challenging yet rewarding role, we encourage you to apply.

Please submit your resume, a cover letter detailing your relevant experience, and any relevant project portfolios or code samples with your application.

Location: [Specify location or mention if remote work is possible]

Type: Full-time

Application Deadline: [Specify deadline]

[Include information about company values, benefits, and any other pertinent details about the company culture or expectations.]

The Data Engineer is responsible for supporting the implementation of projects focused on collecting, aggregating, storing, reconciling, and making data accessible from disparate sources to enable analysis and decision making. The Data Engineer will play a critical role in the data supply chain by ensuring stakeholders can access and manipulate data for routine and ad hoc analysis. The Data engineer will additionally support the full lifecycle of data from sources through analytics to action.

The Data Engineer must be an experienced user of Power BI. The Data Engineer will develop scalable, reliable, and high-impact solutions leveraging the Azure cloud platform to create a modern enterprise data platform. The Data Engineer will work closely with business stakeholders and data analysts to understand the data needs and design, implement, and maintain Power BI reports, dashboards, and visualizations.

Role Accountabilities (include, but not limited to)

•Translate business requirements to technical solutions leveraging strong business acumen

• Analyze current business practices, processes and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics PaaS Services

• Support the planning and implementation of data design services, providing sizing and configuration assistance and performing needs assessments.

• Deliver of architectures for transformations and modernizations of enterprise data solutions using Azure cloud data technologies.

• Design and Build Azure Data Pipelines using Databricks.

• Develop and maintain data warehouse schematics, layouts, architectures and relational/non-relational databases for data access and Advanced Analytics.

• Expose data to end users using Power BI or any other modern visualization platform or experience

• Implement effective metrics and monitoring processes

About You

• Bachelor’s degree in Computer Science (or related field), or equivalent work experience

• Minimum of 4 years data engineering experience

• Demonstrated experience of turning business use cases and requirements to technical solutions

• Experience in business processing mapping of data and analytics solutions.

• Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows.

• Strong team collaboration and experience working with remote teams

• The ability to apply such methods to solve business problems using one or more Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration

• Experienced in Data Transformation using ETL/ELT tools such as AWS Glue, Azure Data Factory, Talend, EAI

• Knowledge in business intelligence tools such as Power BI, Tableau, Qlik, Cognos TM1

• Knowledge of Azure Data Factory, Azure Data Lake, Relational Databases SQL DW, and SQL, Azure App Service is required. Azure IoT, Azure HDInsight + Spark, Azure Cosmos DB, Azure Databricks, Azure Stream Analytics is a plus

• Experienced in Cloud Data-related tool such as Microsoft Azure, Amazon S3

• Ability to leverage on variety of programming languages & data management/processing tools to ensure data reliability, quality & efficiency

• Knowledge of Python is a plus

• Designing and building Data Pipelines using streams of IOT data

• Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code fundamentals

What We Offer

A collaborative working environment comprised of driven and highly engaged individuals committed to diversity, equity, and inclusion and the mission, vision and values of CRF. CRF is proud to extend its employees a wide array of benefits including, but not limited to:

• Most positions offer flexibility for remote work

• Health and dental insurance

• 403B and Roth IRA

• Paid Time Off (PTO)

• Wellness and Hybrid Reimbursement Programs

• Educational Assistance

• Long-Term and Short-Term Disability

• Life Insurance

• 10 Federal Holidays plus 2 Floating Holidays

Organization Policies

Community Reinvestment Fund USA, Inc is an affirmative action equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status or any other characteristic protected by law.

Candidates must reside in and be authorized to work in the United States without sponsorship.

How We Help

Together with its partners – including community leaders, nonprofit lenders, financial institutions, foundations and more – CRF is creating new strategies and technologies that build stronger local economies, create jobs and support economic mobility.

CRF is headquartered in Minneapolis, Minnesota. For further information, please visit crfusa.com for more information.

To apply for this position, please email your resume to recruiting@crfusa.com

We're a prominent Udemy course producer, focusing on educational content in data science. As we venture into AI-driven educational tools, we're keen on integrating an AI chatbot to assist our learners. We're seeking consultation from experts in AI chatbot development and prompt engineering, specifically tailored for the online education space. Your insights will be pivotal in enhancing our students' learning experience through AI-driven interactions.

We're a prominent Udemy course producer, focusing on educational content in data science. As we venture into AI-driven educational tools, we're keen on integrating an AI chatbot to assist our learners. We're seeking consultation from experts in AI chatbot development and prompt engineering, specifically tailored for the online education space. Your insights will be pivotal in enhancing our students' learning experience through AI-driven interactions.

Looking for someone to prep for the interview and possibly shadow it would be on 8/23 1:30-2:30 PM EST.

Responsibility for the role seems to be a blend of a quantitative expert, a strategist, a project manager, and a client-facing consultant for clients of many different verticals

Mentor for interview prep must:

Comprehend and independently execute traditional marketing research techniques (such as TURF, correlation/regression/derived significance, factor analysis, association maps, and structural equation modeling).

Grasp and conduct advanced market research analytics, occasionally seeking guidance (examples include cluster analysis, segmentation by individual/event, conjoint analysis, and discrete choice).

Engage in the implementation of on-demand analytics in areas like customer insights, user experience, and fusion analytics. This involves leveraging machine learning, data queries, and automation to connect primary research data with behavioral and database information.

Well versed in Python, R, SQL as a bonus

Have previous experience in such an advanced analytical role or hands on experience similar to it

Looking for someone to prep for the interview and possibly shadow it would be on 8/23 1:30-2:30 PM EST.

Responsibility for the role seems to be a blend of a quantitative expert, a strategist, a project manager, and a client-facing consultant for clients of many different verticals

Mentor for interview prep must:

Comprehend and independently execute traditional marketing research techniques (such as TURF, correlation/regression/derived significance, factor analysis, association maps, and structural equation modeling).

Grasp and conduct advanced market research analytics, occasionally seeking guidance (examples include cluster analysis, segmentation by individual/event, conjoint analysis, and discrete choice).

Engage in the implementation of on-demand analytics in areas like customer insights, user experience, and fusion analytics. This involves leveraging machine learning, data queries, and automation to connect primary research data with behavioral and database information.

Well versed in Python, R, SQL as a bonus

Have previous experience in such an advanced analytical role or hands on experience similar to it