... internships or graduate placements - Bachelor's or Master's degree (or equivalent) in Statistics ... experience with Databricks, Azure, or MMM exposure - Proficient in Microsoft Office (Excel ...
... internships or graduate placements - Bachelor's or Master's degree (or equivalent) in Statistics ... experience with Databricks, Azure, or MMM exposure - Proficient in Microsoft Office (Excel ...
Data Engineer, Technology Services
Raritan, NJ · On-site
$117K - $140K/yr
... internship experience, is required * Inquisitive - Curious about learning new technologies and ... Databricks, MS Fabric, Snowflake, AWS Redshift) * Cloud Engineering (At least 1 - AWS, Azure ...
Data Engineer, Technology Services
Raritan, NJ · On-site
$117K - $140K/yr
... internship experience, is required * Inquisitive - Curious about learning new technologies and ... Databricks, MS Fabric, Snowflake, AWS Redshift) * Cloud Engineering (At least 1 - AWS, Azure ...
Internship Azure Databricks information
What is the difference between Internship Azure Databricks vs Data Engineer Intern?
| Aspect | Internship Azure Databricks | Data Engineer Intern |
|---|---|---|
| Required Skills | Azure, Databricks, SQL, Python | SQL, Python, ETL, Cloud platforms |
| Work Environment | Cloud-based, data analytics projects | Data pipelines, database management |
| Certifications | Azure certifications beneficial | Basic data engineering certifications helpful |
Internship Azure Databricks focuses on working with the Databricks platform on Azure for data analytics, while Data Engineer Interns work on building data pipelines and managing data infrastructure. Both roles require knowledge of SQL and Python, but Azure Databricks emphasizes cloud-based analytics, making it ideal for those interested in cloud data solutions.
What is an Azure Databricks internship?
An Azure Databricks internship is a temporary, hands-on role for students or recent graduates to gain practical experience working with Azure Databricks, a cloud-based data analytics platform. Interns typically assist with data engineering, data analytics, or machine learning projects using tools such as Apache Spark within the Azure environment. The internship helps participants develop technical skills, learn about big data processes, and contribute to real-world business solutions under the guidance of experienced professionals.
What are the key skills and qualifications needed to thrive as an Azure Databricks intern?
To thrive as an Azure Databricks Intern, you need a solid understanding of data analytics, programming (especially Python or Scala), and foundational knowledge of cloud computing concepts. Familiarity with Databricks, Azure cloud services, SQL, and possibly certifications like Microsoft Azure Fundamentals are typically beneficial. Strong problem-solving abilities, eagerness to learn, and effective communication skills help you collaborate with teams and adapt quickly in a fast-paced environment. These skills enable you to efficiently process and analyze data, contribute to projects, and make the most of your internship experience.
What are some common challenges faced during an Azure Databricks internship, and how can I prepare for them?
As an Azure Databricks intern, you may encounter challenges such as learning to navigate the Databricks workspace, understanding distributed data processing with Spark, and collaborating across multidisciplinary teams. To prepare, it's helpful to familiarize yourself with cloud computing basics, Python or Scala programming, and foundational data engineering concepts. You'll often work closely with data engineers and analysts, so strong communication and a willingness to ask questions are key to overcoming initial hurdles and making the most of your learning experience.
What are the most commonly searched types of Azure Databricks jobs in New York?
The most popular types of Azure Databricks jobs in New York are:
What are popular job titles related to Internship Azure Databricks jobs in New York?
For Internship Azure Databricks jobs in New York, the most frequently searched job titles are:
What job categories do people searching Internship Azure Databricks jobs in New York look for?
The top searched job categories for Internship Azure Databricks jobs in New York are:
What cities in New York are hiring for Internship Azure Databricks jobs?
Cities in New York with the most Internship Azure Databricks job openings:
$75K/yr
Full-time
PTO
Re-posted 28 days ago
Job description
Ekimetrics is a global leader in Marketing Effectiveness and AI-powered solutions. Since 2006, we've been helping businesses optimize marketing and operations by combining AI with business and tech expertise across 4 domains: Marketing Effectiveness, Customer Analytics, Operational Excellence, ESG & sustainability.
With a full in-house team and offices in Paris, London, New York, Hong Kong, and Shanghai, we deliver tailor-made solutions that turn data into real positive impact, leveraging our unique combination of technology and services.
We excel at delivering AI impact at scale. Our mission is to harness this power to tackle the world's most urgent issues. We commit to responsibility and frugality in AI, systematic AI impact at scale, and loyalty to our values and DNA.
Your Responsibilities
As a Junior Business Scientist in Data Science & Marketing Effectiveness, you will contribute to high-quality analytics projects for international clients across industries such as Auto, Beauty, Retail, and Financial Services. You will gain hands-on experience in marketing and customer analytics, working closely with Senior Business Scientists and Managers.
- Contribute to one major client project in Marketing Mix Modeling (MMM) and Marketing Mix Optimization (MMO)
- Clean, prepare, and manipulate data from multiple sources using Python, R, SQL, or Excel
- Support statistical and predictive modeling, including regression, econometrics, Bayesian methods, and marketing metrics.
- Help develop dashboards, charts, and visualizations to communicate insights effectively to clients and internal teams.
- Participate in client meetings and calls under supervision, contributing insights and helping translate analytics into practical recommendations
- Support the preparation of client deliverables, ensuring accuracy, quality, and timely delivery
- Take part in team knowledge-sharing sessions, learning from colleagues and sharing best practices where possible
- Take ownership of professional development, pursuing relevant certifications and training paths in programming, analytics, and data science
- Actively participate in office meetings, training sessions, and team initiatives
- Champion and role-model our core values: Curiosity, Creativity, Excellence, Generosity, and Enjoyment
Your Profile
Experience & Technical Skills
- 0-2 years of professional experience, including internships or graduate placements
- Bachelor's or Master's degree (or equivalent) in Statistics, Economics, Data Science, Computer Science, Applied Mathematics, or a related analytical field
- Basic knowledge of Python or R, and other analytics tools; willingness to learn more advanced techniques
- Understanding of statistical modeling, regression, econometrics, Bayesian statistics, and/or marketing metrics
- Ability to work with and clean large datasets while maintaining attention to quality
- Nice-to-have experience with Databricks, Azure, or MMM exposure
- Proficient in Microsoft Office (Excel, PowerPoint, Word)
Soft Skills
- Analytical mindset, curiosity, and problem solving skills
- Ability to work autonomously while being a collaborative team member
Strong communication skills to engage with clients and internal teams
- Interest in business challenges, marketing strategy, and results-oriented thinking
Positive attitude, resilience, and sense of humor
$75,000 - $75,000 a year
What We Offer:
At Ekimetrics, final base salary is determined by a multitude of factors and vary from candidate to candidate. Determining factors for base compensation include, but are not limited to, professional background, years of experience, and skillset. A reasonable estimate of the base salary for our NYC office is $75,000. In addition to this base salary, we have a comprehensive benefits package, generous bonus package, and a dynamic promotions and salary raise structure.
Career development and growth opportunities
- An emphasis on work-life balance and 20 PTO days per year and holidays
- Annual seminars and retreats
- Close knit team with friendly environment, bi-monthly team events and more
- Work closely with senior analysts and managers to develop technical, analytical, and client-facing skills.
- Receive mentoring and coaching, with structured career progression from Junior Business Scientist, Business Scientist, Senior Business Scientist, Manager and more.
- The Eki.Academy training catalogue: learning paths, solution- and role-specific programs, and Climate School environmental awareness courses.
- Gain exposure to international clients, multiple industries, and projects with real business impact.
- Opportunity to contribute to thought leadership, internal knowledge management, and innovation initiative.
Why Join Us?
At Ekimetrics, your ideas truly matter. We embrace an entrepreneurial spirit, encouraging you to push boundaries while thriving in a collaborative environment. We believe in enjoying what we do and fostering a safe, inclusive space where you can bring your authentic self.
In 2023, Ekimetrics obtained "mission-driven company" status, reflecting our commitment to CSR.
Our purpose: Accelerate organisations' transformation towards sustainability through data science and AI.
We are proud to have been certified Great Place to Work© in France, the UK, and the US, with our Hong Kong office recognised as Best Companies to Work for in Asia 2023©. Ekimetrics is also part of the French Tech 120, selected among the top French scale-ups with potential for international leadership.
Position Type: Permanent
Ekimetrics is an equal opportunity employer committed to making all employment decisions without regard to race/ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or other legally protected categories, subject to applicable law.
Please note that for this recruitment we do not offer visa sponsorship or transfer.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
With a full in-house team and offices in Paris, London, New York, Hong Kong, and Shanghai, we deliver tailor-made solutions that turn data into real positive impact, leveraging our unique combination of technology and services.
We excel at delivering AI impact at scale. Our mission is to harness this power to tackle the world's most urgent issues. We commit to responsibility and frugality in AI, systematic AI impact at scale, and loyalty to our values and DNA.
Your Responsibilities
As a Junior Business Scientist in Data Science & Marketing Effectiveness, you will contribute to high-quality analytics projects for international clients across industries such as Auto, Beauty, Retail, and Financial Services. You will gain hands-on experience in marketing and customer analytics, working closely with Senior Business Scientists and Managers.
- Contribute to one major client project in Marketing Mix Modeling (MMM) and Marketing Mix Optimization (MMO)
- Clean, prepare, and manipulate data from multiple sources using Python, R, SQL, or Excel
- Support statistical and predictive modeling, including regression, econometrics, Bayesian methods, and marketing metrics.
- Help develop dashboards, charts, and visualizations to communicate insights effectively to clients and internal teams.
- Participate in client meetings and calls under supervision, contributing insights and helping translate analytics into practical recommendations
- Support the preparation of client deliverables, ensuring accuracy, quality, and timely delivery
- Take part in team knowledge-sharing sessions, learning from colleagues and sharing best practices where possible
- Take ownership of professional development, pursuing relevant certifications and training paths in programming, analytics, and data science
- Actively participate in office meetings, training sessions, and team initiatives
- Champion and role-model our core values: Curiosity, Creativity, Excellence, Generosity, and Enjoyment
Your Profile
Experience & Technical Skills
- 0-2 years of professional experience, including internships or graduate placements
- Bachelor's or Master's degree (or equivalent) in Statistics, Economics, Data Science, Computer Science, Applied Mathematics, or a related analytical field
- Basic knowledge of Python or R, and other analytics tools; willingness to learn more advanced techniques
- Understanding of statistical modeling, regression, econometrics, Bayesian statistics, and/or marketing metrics
- Ability to work with and clean large datasets while maintaining attention to quality
- Nice-to-have experience with Databricks, Azure, or MMM exposure
- Proficient in Microsoft Office (Excel, PowerPoint, Word)
Soft Skills
- Analytical mindset, curiosity, and problem solving skills
- Ability to work autonomously while being a collaborative team member
Strong communication skills to engage with clients and internal teams
- Interest in business challenges, marketing strategy, and results-oriented thinking
Positive attitude, resilience, and sense of humor
$75,000 - $75,000 a year
What We Offer:
At Ekimetrics, final base salary is determined by a multitude of factors and vary from candidate to candidate. Determining factors for base compensation include, but are not limited to, professional background, years of experience, and skillset. A reasonable estimate of the base salary for our NYC office is $75,000. In addition to this base salary, we have a comprehensive benefits package, generous bonus package, and a dynamic promotions and salary raise structure.
Career development and growth opportunities
- An emphasis on work-life balance and 20 PTO days per year and holidays
- Annual seminars and retreats
- Close knit team with friendly environment, bi-monthly team events and more
- Work closely with senior analysts and managers to develop technical, analytical, and client-facing skills.
- Receive mentoring and coaching, with structured career progression from Junior Business Scientist, Business Scientist, Senior Business Scientist, Manager and more.
- The Eki.Academy training catalogue: learning paths, solution- and role-specific programs, and Climate School environmental awareness courses.
- Gain exposure to international clients, multiple industries, and projects with real business impact.
- Opportunity to contribute to thought leadership, internal knowledge management, and innovation initiative.
Why Join Us?
At Ekimetrics, your ideas truly matter. We embrace an entrepreneurial spirit, encouraging you to push boundaries while thriving in a collaborative environment. We believe in enjoying what we do and fostering a safe, inclusive space where you can bring your authentic self.
In 2023, Ekimetrics obtained "mission-driven company" status, reflecting our commitment to CSR.
Our purpose: Accelerate organisations' transformation towards sustainability through data science and AI.
We are proud to have been certified Great Place to Work© in France, the UK, and the US, with our Hong Kong office recognised as Best Companies to Work for in Asia 2023©. Ekimetrics is also part of the French Tech 120, selected among the top French scale-ups with potential for international leadership.
Position Type: Permanent
Ekimetrics is an equal opportunity employer committed to making all employment decisions without regard to race/ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or other legally protected categories, subject to applicable law.
Please note that for this recruitment we do not offer visa sponsorship or transfer.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.