Data Wrangling – Who Needs Engineers

Data Wrangling – Who Needs Engineers https://whoneedsengineers.com/wne_live Software Engineering Recruitment Sun, 20 Oct 2024 06:25:02 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.2 https://whoneedsengineers.com/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.png Data Wrangling – Who Needs Engineers https://whoneedsengineers.com/wne_live 32 32 Data Science Intern https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/data-science-intern-4/ Sun, 20 Oct 2024 06:25:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/data-science-intern-4/ Data Science Intern

Job Description:

Join our innovative team as a Data Science Intern, where you will play a pivotal role in shaping the future of AI solutions for the Architecture, Engineering, and Construction (AEC) industry. Our platform not only streamlines the development of AI-enabled solutions, but it also empowers domain experts to tackle complex challenges efficiently and cost-effectively. In this internship, you will be responsible for translating AI-generated data into actionable insights and visual representations that aid in strategic decision-making. This position is ideal for individuals eager to apply their academic knowledge in a practical setting while gaining valuable experience in a dynamic environment.

IT Languages:

Python
Machine Learning
Statistics

As a Data Science Intern, your primary responsibilities will include various data-centric tasks aimed at enhancing our AI platform’s capabilities.:

Extract and preprocess data from diverse sources to ensure accuracy and relevance.;; Utilize data science methodologies to derive insightful conclusions and make predictive analyses.;; Design and implement data visualizations that effectively communicate findings to non-technical audiences.

Spoken Languages:

English;; German

Skillset:

Data Wrangling
Data Visualization
Machine Learning Algorithms

Soft Skills:

Strong problem-solving abilities
Excellent communication skills
Interpersonal skills

Qualifications:

Pursuing or completed a PhD or Master’s degree in Data Science from a recognized German or EU university.

Years of Experience:

Location:

Germany

Job Benefits:

Inclusive startup culture
Collaborative team environment
Frequent team events and after-work activities
Opportunities to bring new perspectives and create a meaningful impact

Working Conditions:

Full Time

Employment Type:

Internship

Company Culture:

A vibrant and diverse startup atmosphere where creativity and collaboration thrive. Team members are encouraged to engage in both hard work and social activities, fostering a strong sense of community.

Opportunities For Advancement:

Potential for future employment, Networking opportunities within the AEC industry, Skill development in AI and Data Science

Visa Sponsorship:

Available ]]> Data Analyst https://whoneedsengineers.com/jobs/data-sciene-and-analytics/data-analyst-80/ Mon, 14 Oct 2024 05:10:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/data-analyst-80/ Data Analyst

Job Description:

We are seeking a skilled Data Analyst to join our Cyber Identity and Access Management team. The ideal candidate will have a strong background in data analysis, particularly in auditing and identifying gaps within datasets. This role will require proficiency in programming languages such as Python and SQL, along with experience in data wrangling and analysis of outliers. You will be responsible for diving deep into databases, managing data stored in Snowflake and Oracle, and ensuring that the data is clean and accurate for analysis. Strong analytical skills are necessary to communicate effectively with stakeholders and assist in analyzing audit findings. This position is hybrid and based in Plano, TX, with potential for work in NYC, McLean VA, or Richmond VA as well.

IT Languages:

Python
SQL
Spark

As a Data Analyst, you will be tasked with various responsibilities aimed at improving data integrity and supporting audit processes.:

Conduct thorough analysis of data to identify anomalies and gaps;; Utilize Python and SQL for data extraction, transformation, and loading;; Work closely with stakeholders to communicate findings and insights;; Support the team in analyzing audit findings to enhance data management practices;; Ensure the accuracy and cleanliness of data in the central platform

Spoken Languages:

English

Skillset:

Python
SQL
Spark
Data wrangling
Data analysis
Database management

Soft Skills:

Strong communication skills
Attention to detail
Problem-solving abilities
Ability to work collaboratively in a team

Qualifications:

Bachelor’s degree in a relevant field such as Data Science, Computer Science, or Information Technology
Experience with data analysis and auditing, particularly in a corporate environment
Familiarity with Cybersecurity principles is a plus but not mandatory

Years of Experience:

Location:

Plano, TX, United States

Job Benefits:

Competitive salary
Flexible working hours
Health insurance
Professional development opportunities

Working Conditions:

Hybrid

Employment Type:

Temporary Contract

Company Culture:

We foster a collaborative and innovative environment, emphasizing continuous learning and development. Our team values open communication and the importance of diverse perspectives in problem-solving.

Opportunities For Advancement:

Potential for full-time employment, Opportunities for career growth within the organization, Access to training and professional development resources

Visa Sponsorship:

Not Available ]]> Data Science Intern https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/data-science-intern-3/ Sun, 13 Oct 2024 06:40:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/data-science-intern-3/ Data Science Intern

Job Description:

IT Languages:

Python
Machine Learning
Statistics

As a Data Science Intern, your primary responsibilities will include various data-centric tasks aimed at enhancing our AI platform’s capabilities.:

Spoken Languages:

English;; German

Skillset:

Data Wrangling
Data Visualization
Machine Learning Algorithms

Soft Skills:

Strong problem-solving abilities
Excellent communication skills
Interpersonal skills

Qualifications:

Pursuing or completed a PhD or Master’s degree in Data Science from a recognized German or EU university.

Years of Experience:

Location:

Germany

Job Benefits:

Inclusive startup culture
Collaborative team environment
Frequent team events and after-work activities
Opportunities to bring new perspectives and create a meaningful impact

Working Conditions:

Full Time

Employment Type:

Internship

Company Culture:

A vibrant and diverse startup atmosphere where creativity and collaboration thrive. Team members are encouraged to engage in both hard work and social activities, fostering a strong sense of community.

Opportunities For Advancement:

Potential for future employment, Networking opportunities within the AEC industry, Skill development in AI and Data Science

Visa Sponsorship:

Available ]]> Data Scientist I https://whoneedsengineers.com/jobs/data-sciene-and-analytics/data-scientist-i-3/ Wed, 09 Oct 2024 11:50:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/data-scientist-i-3/ Data Scientist I

Job Description:

Join a team dedicated to fostering a culture of innovation and data-driven decision-making. As a Data Scientist I, you will play a crucial role in shaping and transforming employee experiences through the application of advanced data science methodologies. You will collaborate with a dynamic team to leverage data analytics, machine learning, and AI to drive impactful solutions that enhance workforce management and employee engagement. This position offers an exciting opportunity to dive deep into HR data, uncover meaningful insights, and contribute to strategic initiatives that propel our organization forward. We are looking for a passionate individual eager to implement cutting-edge techniques and tools to optimize performance while contributing to a supportive and growth-oriented work environment.

IT Languages:

Python
SQL

As a Data Scientist I, you will engage in various tasks aimed at enhancing our employee analytics capabilities.:

Experiment with different machine learning techniques to improve model performance;; Analyze large datasets to identify trends and patterns that inform HR strategies;; Develop statistical models to assess employee turnover, engagement, and performance;; Collaborate with cross-functional teams to provide data-driven insights for HR initiatives;; Ensure data quality and integrity by collecting and preprocessing data from multiple sources;; Create impactful metrics and business cases to support program success

Spoken Languages:

English

Skillset:

Machine Learning
Statistical Analysis
Data Visualization
Data Wrangling
Predictive Modeling

Soft Skills:

Strong problem-solving skills
Effective communication abilities
Team collaboration
Adaptability

Qualifications:

Master’s degree or equivalent experience in statistics, computer science, data science, psychometrics, or related fields
Experience in deploying models into production environments and optimizing them for performance and scalability
Strong knowledge of machine learning algorithms
Proficient in statistics and data analysis

Years of Experience:

Location:

Boston, MA, United States

Job Benefits:

Competitive salary
Career growth opportunities
Supportive work culture
Health and wellness programs

Working Conditions:

Full Time

Employment Type:

Permanent Contract

Company Culture:

At Chewy, we pride ourselves on our inclusive and collaborative work environment. We value diversity and believe that every team member contributes to our collective success. Our culture encourages continuous learning and growth, empowering employees to reach their full potential while fostering a sense of community and belonging.

Opportunities For Advancement:

Professional development programs, Mentorship opportunities, Access to conferences and workshops

Visa Sponsorship:

Available ]]> Data Scientist https://whoneedsengineers.com/jobs/data-sciene-and-analytics/data-scientist-25/ Wed, 09 Oct 2024 00:30:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/data-scientist-25/ Data Scientist

Job Description:

We are seeking a highly skilled Data Scientist to join our dynamic team in Atlanta, GA. In this role, you will be responsible for analyzing vast amounts of data to uncover insights that drive business decisions. You will utilize advanced statistical methods and machine learning techniques to develop predictive models and algorithms. The ideal candidate will have a strong foundation in data analytics, coupled with the ability to communicate findings effectively to stakeholders. Your expertise will contribute significantly to enhancing our data-driven strategies and improving overall operational efficiency. You will collaborate closely with cross-functional teams, ensuring that data-driven insights are integrated into our business processes.

IT Languages:

Python
R
SQL

As a Data Scientist, your primary responsibilities will include the following::

Collect, clean, and analyze data from various sources;; Develop and implement machine learning models to solve complex business problems;; Visualize data findings and present insights to non-technical stakeholders;; Collaborate with IT and business teams to understand data requirements;; Stay current with industry trends and technologies related to data science

Spoken Languages:

English;; Spanish

Skillset:

Machine Learning
Statistical Analysis
Data Visualization
Big Data Technologies
Data Wrangling

Soft Skills:

Strong analytical thinking
Effective communication skills
Problem-solving capabilities
Team collaboration
Adaptability

Qualifications:

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field
Strong understanding of data modeling and data mining techniques
Experience with statistical software and programming languages

Years of Experience:

Location:

Atlanta, GA, United States

Job Benefits:

Health Insurance
Retirement Plan
Paid Time Off
Professional Development
Flexible Working Hours

Working Conditions:

Full Time

Employment Type:

Permanent Contract

Company Culture:

Our company fosters a collaborative and innovative environment where employees are encouraged to explore new ideas and take initiative. We value diversity, continuous learning, and the pursuit of excellence in every project.

Opportunities For Advancement:

Leadership training programs, Mentorship opportunities, Career development workshops

Visa Sponsorship:

Available ]]> Machine Learning Engineer 2 https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/machine-learning-engineer-2-2/ Tue, 01 Oct 2024 05:15:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/machine-learning-engineer-2-2/ Machine Learning Engineer 2

Job Description:

Join a dynamic and innovative team as a Machine Learning Engineer, where you will collaborate closely with a group of talented data scientists. In this position, you will play a pivotal role in the development, coding, and large-scale deployment of data science models utilizing cutting-edge tools and technologies. Your primary responsibilities will include data wrangling, feature engineering, model development, and evaluating metrics to ensure the effectiveness of your models. You will be tasked with not only creating prototype models but also taking these models to production, ensuring they are scalable and efficient for customer use. As you enhance existing models, you will delve into the specifics of algorithm implementations to optimize performance and reduce training times. You will also have opportunities to develop new tools designed to alleviate challenges within the data science workflow, such as improving data processing speeds and managing data more effectively. This role provides a fantastic opportunity to leverage your technical skills while working in a collaborative environment.

IT Languages:

Python
R
SQL

As a Machine Learning Engineer, your responsibilities will encompass a wide range of tasks aimed at transforming raw data into actionable insights through machine learning models.:

Discover and access various data sources, ensuring the data is clean and prepared for machine learning applications;; Collaborate with data scientists to create and refine features from data, building efficient pipelines for model training and deployment;; Work alongside data scientists to design, implement, and refine machine learning algorithms and other analytical models;; Conduct regular A/B testing and statistical analyses to assess the impact of models and make data-driven decisions;; Engage in cross-functional teamwork with product managers, data scientists, and product engineers, effectively communicating results and findings;; Explore and analyze new technological advancements to evaluate their potential benefits for customer solutions

Spoken Languages:

English;; Spanish;; French

Skillset:

Data Wrangling
Feature Engineering
Machine Learning Algorithms
Model Evaluation
Data Processing

Soft Skills:

Team Collaboration
Problem Solving
Effective Communication
Analytical Thinking

Qualifications:

BS, MS, or PhD degree in Computer Science or a related field
Equivalent practical experience in a relevant field
Proficiency in data science tools and frameworks such as Python, Scikit-learn, NLTK, Numpy, Pandas, TensorFlow, Keras, R, and Spark
Basic understanding of machine learning techniques including classification, regression, and clustering

Years of Experience:

Location:

New York, NY, United States

Job Benefits:

Health Insurance
Retirement Plan
Paid Time Off
Professional Development Opportunities
Flexible Work Hours

Working Conditions:

Full Time

Employment Type:

Permanent Contract

Company Culture:

The company fosters an inclusive and supportive work environment that encourages innovation and continuous learning. Team members are valued for their unique perspectives and contributions, and collaboration is at the heart of the company's success.

Opportunities For Advancement:

Career Development Programs, Mentorship Opportunities, Leadership Training, Cross-Departmental Projects

Visa Sponsorship:

Available ]]> Junior Data Scientist https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/junior-data-scientist-2/ Mon, 16 Sep 2024 17:00:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/junior-data-scientist-2/ Junior Data Scientist

Job Description:

We are seeking a motivated and detail-oriented Junior Data Scientist to join our dynamic team. In this role, you will work closely with our data analytics team to develop data-driven solutions that enhance business performance. You will be responsible for analyzing large datasets, creating predictive models, and interpreting data to provide actionable insights. The ideal candidate should have a passion for data analysis and a strong foundation in statistical methods. You will gain hands-on experience in various data science techniques and tools, while collaborating with experienced professionals in the field. This is an excellent opportunity for someone looking to start their career in data science and contribute to exciting projects that shape the future of our organization.

IT Languages:

Python
R
SQL

As a Junior Data Scientist, you will be tasked with a variety of responsibilities that will help you grow your skills and contribute to our projects.:

Analyze and interpret complex datasets to identify trends and patterns;; Develop and implement machine learning algorithms to solve business problems;; Collaborate with cross-functional teams to integrate data-driven decision-making;; Prepare reports and visualizations to communicate findings to stakeholders;; Continuously learn and apply new data science techniques and technologies

Spoken Languages:

English;; Spanish;; French

Skillset:

Statistical analysis
Machine learning
Data visualization
Data wrangling

Soft Skills:

Strong communication skills
Team player with a collaborative mindset
Adaptability and willingness to learn
Critical thinking and attention to detail

Qualifications:

Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field
Strong analytical skills with a passion for problem-solving
Experience with data visualization tools

Years of Experience:

Location:

Chandler, AZ, EU

Job Benefits:

Health insurance
Retirement plan
Paid time off
Professional development opportunities
Flexible working hours

Working Conditions:

Full Time

Employment Type:

Permanent Contract

Company Culture:

Our company culture thrives on innovation, teamwork, and continuous learning. We foster an environment where creativity is encouraged, and employees are empowered to take initiative and contribute their ideas. Collaboration is key, and we value diverse perspectives that lead to better solutions. Our commitment to professional growth is reflected in our training programs and mentorship opportunities.

Opportunities For Advancement:

Potential for promotion to Senior Data Scientist, Opportunities to lead projects, Access to advanced training and certifications

Visa Sponsorship:

Available ]]> Internship – Machine Learning Engineer & Data Science https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/internship-machine-learning-engineer-data-science/ Mon, 16 Sep 2024 07:00:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/internship-machine-learning-engineer-data-science/ Internship – Machine Learning Engineer & Data Science

Job Description:

Join an innovative team dedicated to leveraging machine learning, data science, and artificial intelligence to revolutionize sports training and management. In this role, you will play a crucial part in designing, developing, and implementing machine learning models that address real business challenges in the sports domain. Your analytical prowess will be put to the test as you extract valuable insights from data, guiding the direction of AI-driven projects. This internship is tailored for individuals who excel in dynamic, team-oriented environments, possess a knack for problem-solving through technology, and enjoy articulating their findings and solutions to various audiences.

IT Languages:

Python
R
PyTorch
SQL
pandas
Spark

You will be responsible for developing and deploying machine learning models, optimizing workflows, and collaborating with various stakeholders to ensure alignment with business needs.:

Build and maintain scalable machine learning models to tackle key business problems;; Translate client requirements into effective machine learning solutions;; Monitor and enhance model performance through continuous assessment;; Create data pipelines to prepare datasets for training and analysis;; Utilize data science methodologies to generate insights and enhance predictive capabilities;; Communicate findings and model outcomes effectively to both technical and non-technical stakeholders;; Research and adopt the latest machine learning tools and techniques for ongoing improvement;; Collaborate with cross-functional teams to achieve strategic objectives

Spoken Languages:

English

Skillset:

Machine Learning
Data Science
Model Deployment
Data Wrangling
Feature Engineering
Cloud Platforms

Soft Skills:

Strong communication skills
Team collaboration
Problem-solving
Analytical thinking

Qualifications:

Education in Data Science, Computer Science, Engineering, Statistics or related fields is preferred
Proficiency in machine learning frameworks and programming languages

Years of Experience:

Location:

Europe

Job Benefits:

Competitive base salary
Performance-based bonuses
Equity or options potential
Comprehensive medical, dental, and vision insurance
401k retirement plan
Collaborative workspace with unlimited coffee and healthy snacks

Working Conditions:

Full Time

Employment Type:

Internship

Company Culture:

A dynamic and innovative environment focused on excellence and pushing the boundaries of AI in sports technology.

Opportunities For Advancement:

Potential for full-time employment after internship, Possibility to work on diverse projects in the sports tech field

Visa Sponsorship:

Available ]]>