50 Vacant Data Scientist Jobs in new york metro area | Application Process

1. Data Scientist – TS/SCI Required

The quest for Data scientist jobs in the New York metro area with no experience needed is a challenging yet rewarding journey. Entry-level positions such as this often require a TS/SCI clearance, indicating the sensitive nature of the work involved. Candidates should be prepared to demonstrate a strong foundation in data science fundamentals, even if they lack practical experience.

For those new to the field, it’s essential to highlight any relevant academic projects or coursework that aligns with the job requirements. Additionally, showcasing a willingness to learn and adapt can be just as crucial as technical skills. Below is a snapshot of the typical offerings for entry-level data scientist roles:

• Salary Range: USD 65K – 109K
• Qualifications: Bachelor’s degree in a related field (e.g., Computer Science, Statistics)
• Desirable Skills: Data visualization, Machine Learning, Hadoop, Keras
• Benefits: Career development opportunities, Health care, Salary bonus

It’s important to note that while the title may suggest an entry-level position, the TS/SCI requirement implies a need for a certain level of trustworthiness and reliability. As you prepare your application, ensure that your resume and cover letter reflect your analytical prowess and your ability to handle confidential information responsibly.

2. Staff Data Engineer

The New York metro area is bustling with opportunities for data professionals. Among these, the role of Staff Data Engineer stands out as a pivotal position in the data ecosystem. Companies are seeking individuals with a knack for building and maintaining robust data pipelines, ensuring data quality, and supporting data analytics initiatives.

For those looking to apply, it’s essential to have a strong foundation in software engineering principles, experience with big data technologies, and a problem-solving mindset. The application process typically involves submitting a resume, possibly a portfolio of relevant projects, and going through technical interviews.

Here’s a snapshot of the current market:

• Open Staff Data Engineer jobs
• Open Senior Analytics Engineer jobs
• Open Lead Data Scientist jobs
• Open Staff Machine Learning Engineer jobs
• Open BI Developer jobs
• Open Staff Data Scientist jobs
• Open Sr. Data Engineer jobs
• Open Junior Data Analyst jobs
• Open Data Science Intern jobs
• Open BI Analyst jobs
• Open Business Intelligence Engineer jobs
• Open Data Science Manager jobs
• Open Lead Data Analyst jobs

According to a recent listing on Indeed, there are 73 Data Engineer jobs available in New York, NY. This indicates a healthy demand for data engineering skills in the region.

3. Senior Analytics Engineer

The role of a Senior Analytics Engineer is pivotal in leveraging data to drive strategic decisions. In New York’s bustling job market, this position often requires collaboration with both analysts and data engineers to enhance data models and warehouse schemas.

For those interested in such roles, it’s important to understand the typical responsibilities and qualifications. Senior Analytics Engineers are expected to have a strong background in data analysis, experience with data warehousing technologies, and the ability to work in agile environments.

Below is a snapshot of current opportunities in the New York metro area:

• Title: Senior Analytics Engineer – Hungryroot | Built In NYC
• Snippet: In this critical role, you will work closely with our Analysts and Data Engineers to collaborate and design data warehouse schemas to improve our data models.

Salaries for these positions are competitive, reflecting the seniority and expertise required. Prospective applicants should be prepared to demonstrate their experience and skills in data analytics and engineering during the application process.

4. Lead Data Scientist

The role of a Lead Data Scientist in the New York metro area is a pivotal position within the data science team, often involving leadership and advanced analytical skills. Candidates are expected to have a strong background in data analysis, machine learning, and the ability to drive insights from large datasets.

Responsibilities typically include:

• Developing and implementing data models
• Leading project teams
• Communicating findings to stakeholders
• Staying updated with the latest technologies and methodologies

Qualifications for this role usually require a combination of education and experience, with many employers looking for advanced degrees in data science, statistics, computer science, or related fields. Relevant work experience, particularly in a leadership capacity, is also highly valued.

The application process for Lead Data Scientist positions may vary by company but generally includes submitting a resume and cover letter, completing technical assessments, and participating in multiple rounds of interviews. It’s crucial to tailor your application to highlight leadership experience and your ability to generate actionable insights from data.

5. Staff Machine Learning Engineer

The Staff Machine Learning Engineer position is a pivotal role in the tech industry, particularly within the New York metro area. This job entails providing technical leadership and guidance to a team of engineers. As a Staff Machine Learning Engineer, you will be expected to participate actively in the hiring process, ensuring that the team is equipped with top talent to tackle complex machine learning challenges.

Candidates for this role should be prepared to demonstrate a strong foundation in machine learning principles and a track record of technical excellence. The application process typically involves a comprehensive evaluation of technical skills, problem-solving abilities, and leadership potential. It’s important for applicants to showcase their experience in designing and implementing ML models, as well as their capacity to lead and mentor others.

To apply for a Staff Machine Learning Engineer position, candidates should follow these steps:

1. Review the job description and requirements carefully.
2. Prepare a detailed resume highlighting relevant experience and skills.
3. Submit the application through the company’s career portal or the specified application process.
4. Be ready for technical interviews, which may include coding challenges and machine learning problem-solving tasks.
5. Discuss your leadership experiences and approach during the interview process.

6. BI Developer

The role of a BI Developer in the New York metro area is pivotal for businesses that rely on data-driven decision-making. With over 75 job openings, the demand for skilled professionals in this field is evident. BI Developers are expected to develop and maintain data models, often using tools like Power BI, to support reporting and analysis needs.

The application process typically involves showcasing your expertise in data analysis and business intelligence tools. Employers look for candidates who can translate complex data into actionable insights. If you’re aiming to secure a position as a BI Developer, ensure your resume highlights your proficiency in relevant software and your experience in data modeling.

Here’s a snapshot of what employers in New York are looking for:

• Strong understanding of data analysis and visualization
• Proficiency in BI tools like Power BI
• Ability to develop and maintain data models
• Experience in translating data into actionable business insights

7. Staff Data Scientist

The role of a Staff Data Scientist in the New York metro area is a pivotal one, offering the opportunity to work on complex data-driven problems and contribute to strategic decision-making processes. These positions are ideal for individuals with a strong foundation in data science and a desire to apply their skills in a dynamic work environment.

For those looking to break into the field or transition from a junior role, the New York City Council offers promising job opportunities. One such position is the Data Scientist role, where the selected candidate will be responsible for developing and enhancing investigations through data analytics, collecting and utilizing data to inform investigations, and performing complex statistical analyses.

To apply for a Staff Data Scientist position, candidates should be prepared to demonstrate their expertise in data analysis, machine learning, and statistical modeling. It’s also beneficial to showcase experience with data visualization tools and proficiency in programming languages commonly used in data science such as Python or R.

8. Sr. Data Engineer

The role of a Sr. Data Engineer in the New York metro area is a pivotal one, bridging the gap between data science and engineering. This position typically requires a strong background in software engineering, data modeling, and system architecture. Senior Data Engineers are expected to lead the design and construction of scalable data pipelines, ensuring data quality and accessibility for analysis.

Salaries for Sr. Data Engineer roles in the area are competitive, reflecting the high demand for experienced professionals. Here’s a snapshot of the salary range based on recent job postings:

Position	Salary Range (USD)
Sr. Data Engineer	125K – 190K

Candidates should be prepared to demonstrate their expertise in data warehousing, ETL processes, and cloud computing platforms like AWS or Azure during the application process. The ability to work with large datasets and implement machine learning models is also highly valued. If you’re looking to apply, ensure your resume highlights your senior-level experience and any relevant certifications.

9. Junior Data Analyst

The role of a Junior Data Analyst is a stepping stone into the data science field, offering a chance to work with data sets and gain valuable insights. In the New York metro area, there are numerous opportunities for those looking to start their career in data analysis.

According to recent listings, there are a significant number of positions available for Junior Data Analysts. These roles often require working with more experienced analysts and learning from real-world data challenges. For those without prior experience, some positions do not demand extensive backgrounds, making them ideal for recent graduates or individuals transitioning into the data science domain.

Here are some key points to consider when applying for Junior Data Analyst jobs:

• Familiarize yourself with common data analysis tools and software.
• Highlight any relevant coursework or projects in your application.
• Networking can be crucial, so attend industry meetups and conferences.
• Tailor your resume and cover letter to each job application, emphasizing your analytical skills and eagerness to learn.

10. Data Science Intern

The role of a Data Science Intern in the New York metro area is a fantastic opportunity for those looking to break into the field of data science. These positions are designed for individuals who are in the process of completing their education or have recently graduated and are eager to apply their academic knowledge in a real-world setting.

Internships can vary in duration and scope, but they all provide valuable experience that can be a significant stepping stone for a future career in data science. Below is a list of potential benefits and opportunities you might expect from a data science internship:

• Hands-on experience with real data sets
• Mentorship from experienced data scientists
• Exposure to industry-standard tools and technologies
• Networking opportunities within the company and industry
• Potential for future employment or recommendations

When applying for these internships, it’s important to highlight your educational background, any relevant projects or coursework, and your enthusiasm for the field. While some internships may require specific technical skills, many are open to candidates who demonstrate a strong willingness to learn and a passion for data science.

11. BI Analyst

The role of a BI Analyst in the New York metro area is a critical one, bridging the gap between data and business insights. With a focus on transforming data into actionable intelligence, BI Analysts are in high demand. For those looking to apply, it’s important to highlight relevant experience and skills in business intelligence tools and data analysis.

A recent job listing for a Business Intelligence Data Analyst at Syracuse University offers a glimpse into the potential opportunities and salary ranges in this field. The position, with a pay range of $60,000 to $75,000, underscores the value of these roles within academic institutions.

For aspiring BI Analysts, here are some steps to consider during the application process:

1. Tailor your resume to emphasize analytical skills and experience with BI tools.
2. Prepare for interviews by reviewing common business intelligence scenarios and data challenges.
3. Network with professionals in the field to learn about new opportunities and industry trends.
4. Stay updated on the latest BI technologies and methodologies to maintain a competitive edge.

12. Business Intelligence Engineer

The New York metro area is bustling with opportunities for Business Intelligence Engineers. With over 25 positions available, job seekers can find a variety of roles tailored to their skills and experience levels. Positions range from entry-level to senior roles, with competitive salaries and benefits.

For those new to the field or looking to transition into business intelligence, there are positions that do not require prior experience. These roles offer a great starting point for a career in data analysis and business strategy. It’s important to note that while some positions may not require experience, a strong understanding of data analysis tools and business acumen is often expected.

Here’s a snapshot of the current job market for Business Intelligence Engineers in New York:

• Senior-level positions with salaries ranging from USD 105K to 176K.
• Opportunities in both established companies and startups.
• Roles that emphasize skills in Agile, AWS, data analytics, and more.

To apply, candidates should prepare a detailed resume highlighting relevant skills and experience, and be ready to discuss how they can contribute to a company’s data-driven decision-making process.

13. Data Science Manager

The role of a Data Science Manager in the New York metro area is a pivotal one, bridging the gap between data science teams and strategic business decisions. With the rise of data-driven insights, the demand for experienced managers who can navigate the complexities of big data is at an all-time high.

For those looking to step into this role, it’s important to have a strong foundation in data visualization, machine learning, and model design. A background in mathematics and a PhD may also be advantageous. Positions like the one at Salesforce in Seattle suggest a competitive salary range of USD 64K – 88K, reflecting the value of these skills in the marketplace.

In addition to technical expertise, potential candidates should be prepared for responsibilities that may include career development for their team, overseeing health care analytics, and possibly travel for business needs. The position is typically full-time and may be classified as entry-level, indicating opportunities for those with less experience but strong foundational knowledge.

For more information on data scientist jobs in USA, particularly in the New York area, consider exploring listings such as ‘Data Manager jobs in New York, NY‘ on platforms like Indeed, where a variety of related positions are frequently available.

14. Lead Data Analyst

The role of a Lead Data Analyst is pivotal in transforming data into actionable insights that drive business decisions. With a focus on expertise in data analysis and a strong foundation in computer science or related fields, this position often requires a Bachelor’s degree or higher. The New York metro area, being a hub for diverse industries, offers a wealth of opportunities for those looking to advance their careers in data analytics.

Key qualifications for a Lead Data Analyst typically include proficiency in statistical software, experience with data visualization tools, and the ability to communicate complex data findings to stakeholders. For those interested in such a role at a renowned company like Disney, the basic qualifications might encompass a degree in Computer Science, MIS, Statistics, Economics, Mathematics, or a related field, along with expertise in developing data-driven solutions.

When applying for Lead Data Analyst positions, it’s essential to tailor your resume to highlight relevant experience and skills. Networking and staying updated with the latest industry trends can also significantly enhance your prospects. Below is a snapshot of the application process:

1. Ensure your educational background aligns with the job requirements.
2. Highlight your expertise in data analysis and related software.
3. Emphasize your ability to communicate findings effectively.
4. Network with industry professionals and attend relevant events.
5. Stay informed about the latest data analytics trends and technologies.

15. Data Engineer

The New York metro area is bustling with opportunities for Data Engineers. Whether you’re just starting out or you’re a seasoned professional, there’s a range of positions open that cater to different levels of experience and expertise.

Key opportunities include entry-level positions for those new to the field, as well as senior roles for experienced professionals. The demand for Data Engineers spans various industries, ensuring a dynamic and challenging work environment.

Here’s a snapshot of the types of Data Engineer jobs currently open in the New York metro area:

• Open Data Engineer jobs
• Open Senior Data Engineer jobs
• Open Lead Data Engineer jobs
• Open Staff Data Engineer jobs

Salaries are competitive, with some positions offering additional benefits such as career development opportunities, healthcare, and bonuses. For instance, a mid-level Data Engineer position in Washington, DC offers a salary range of USD 93K – 166K, along with healthcare and a salary bonus.

16. Data Analyst

The role of a Data Analyst in the New York metro area is pivotal for organizations looking to harness data-driven decision-making. With a focus on policy, research, and analysis, these professionals are expected to possess a strong skill set in analyzing complex datasets and developing statistical models. The demand for Data Analysts spans various industries, offering a wide range of opportunities for those with the right expertise.

Entry-level positions in this field often require proficiency in tools such as Excel and a foundational understanding of data analytics. For those just starting out, salaries can range from USD 65K to 108K, reflecting the value of analytical skills in the marketplace. Senior-level Data Analysts, with more experience and advanced skills in areas like AWS and data visualization, can expect significantly higher compensation, with salaries ranging from USD 112K to 179K.

To apply for a Data Analyst position, candidates should be prepared to demonstrate their ability to apply machine learning algorithms and conduct thorough research. The application process typically involves submitting a resume highlighting relevant experience, a cover letter tailored to the job description, and potentially a portfolio of past projects or analyses. It’s also beneficial to stay informed about the latest tools and techniques in data science to maintain a competitive edge in this dynamic field.

17. Senior Data Engineer

The role of a Senior Data Engineer in the New York metro area is pivotal for organizations looking to leverage big data for strategic decision-making. These professionals are responsible for designing and implementing robust data pipelines, ensuring data quality, and providing accessible data for analysis and reporting.

Key responsibilities often include:

• Developing and maintaining scalable data architecture.
• Collaborating with data scientists and analysts to support their data needs.
• Optimizing data flow and collection to improve data accuracy and utility.

Senior Data Engineer positions typically require a strong background in computer science, engineering, or a related field, along with experience in data management technologies such as AWS, Azure, or Google Cloud Platform. The compensation for these roles is competitive, reflecting the high demand for skilled data engineers in the market.

18. Senior Data Scientist

The New York metro area is ripe with opportunities for data professionals. Among these, Senior Data Scientist positions stand out for their strategic importance and impact within organizations. For those not yet at the senior level, there are also numerous junior and entry-level positions available.

• Junior data scientist jobs in new york metro area: These positions are ideal for those who are just starting their careers and looking to gain valuable experience in the field.
• Entry level data scientist jobs in new york metro area: Entry-level roles offer a stepping stone into the data science industry, providing foundational skills and knowledge.
• Data scientist jobs in new york metro area no experience: For individuals without prior experience, there are roles that offer on-the-job training and mentorship.
• Data scientist jobs in new york metro area for freshers: Fresh graduates can find roles that are tailored to new entrants in the job market, helping them to kickstart their careers.

While the journey to becoming a Senior Data Scientist requires dedication and experience, the New York metro area provides a diverse range of opportunities to embark on this career path. Whether you’re a fresh graduate or a professional looking to pivot into data science, the city’s dynamic job market is an excellent place to start.

19. Senior Data Analyst

The role of a Senior Data Analyst in the New York metro area is a critical one, offering a blend of technical expertise and business acumen. These professionals are responsible for interpreting complex data and turning it into actionable insights that can drive strategic decisions. The position typically requires a deep understanding of database, statistical, and data visualization software.

Salaries for Senior Data Analyst positions vary based on experience and the specific company but generally range from USD 60K to 190K. The job often includes benefits such as career development opportunities, health care, and possibly fitness or gym memberships. Candidates are expected to have thorough competence in relevant software and tools.

To apply for a Senior Data Analyst role, candidates should showcase their proficiency in data management and their ability to provide data quality assurance. A strong background in AWS, machine learning, and business intelligence is also highly valued by employers in this field.

20. Machine Learning Engineer

The demand for Machine Learning Engineers in the New York metro area is on the rise, reflecting the city’s growing tech industry. With a plethora of opportunities, from startups to established companies, candidates have a diverse range of environments to choose from.

For those looking to break into the field or advance their career, here are some steps to consider:

1. Update your resume to highlight relevant ML experience and projects.
2. Network with professionals and attend local tech meetups.
3. Prepare for interviews by brushing up on machine learning algorithms and systems design.
4. Consider roles that match your skill level, whether it’s entry-level or more advanced positions.

According to a recent listing on Indeed, there are currently 764 Machine Learning Engineer jobs available in New York, NY. This includes positions for Senior Software Engineers and Data Engineers, indicating a healthy job market for those with ML expertise.

21. Senior Machine Learning Engineer

The role of a Senior Machine Learning Engineer is pivotal in the tech industry, especially in the bustling New York metro area. With a focus on designing, training, and tuning machine learning models, these professionals are at the forefront of innovation. The job market is competitive, with companies like Microsoft seeking candidates through platforms such as ZipRecruiter.

Salaries for senior-level positions are attractive, often ranging from USD 105K to 199K, reflecting the high demand and expertise required for these roles. Opportunities are not limited to full-time positions; part-time roles are also available, offering flexibility for those seeking a balance between their professional and personal lives.

Candidates interested in these positions should have a strong foundation in computer science, data analysis, and experience with various machine learning techniques. Career development, health care benefits, and other perks are commonly part of the compensation package, making these roles highly sought after.

22. Data Architect

The role of a Data Architect in the New York metro area is pivotal for organizations aiming to optimize their data infrastructure. These professionals are responsible for designing and implementing data models, schemas, and structures that support efficient data governance and quality.

In the New York metro area, Data Architect positions offer competitive salaries and often require expertise in technologies such as AWS and Snowflake. The focus on data governance is a key aspect of the role, ensuring that data management practices meet organizational standards and regulatory requirements.

For those interested in pursuing a career as a Data Architect, it’s important to have a strong foundation in computer science, data analysis, and experience with big data technologies. Career development opportunities are abundant, with many positions offering benefits such as health care, fitness programs, and team events.

23. Analytics Engineer

The role of an Analytics Engineer in the New York metro area is a critical one, bridging the gap between data science and data engineering. Candidates are expected to have a strong foundation in data analysis and visualization, as well as experience with machine learning models and various data science methodologies.

For those looking to apply, here are some key points to consider:

• Ensure your resume highlights relevant experience in data visualization, machine learning, and model design.
• Be prepared to discuss how you’ve used these skills in a practical setting, possibly during an interview.
• Salary ranges for entry-level positions, such as those at Salesforce, start from USD 64K and can go upwards depending on experience and qualifications.

It’s important to note that while some positions may require advanced degrees like a PhD, there are opportunities for individuals with strong portfolios and practical experience. The New York metro area is bustling with open positions for various data roles, so keep an eye out for openings that match your skill set and career aspirations.

24. Business Intelligence Analyst

The role of a Business Intelligence Analyst is pivotal in deciphering data patterns and translating them into actionable insights for strategic decision-making. Opportunities in the New York metro area are abundant, with positions available for varying levels of experience.

For those starting their career, entry-level and junior positions offer a chance to develop skills in SQL data manipulation, data analysis, and reporting tools like Power BI and Qlik. No prior experience? No problem. Some roles do not require previous experience, providing on-the-job training to get you up to speed.

Here’s a snapshot of the potential salary ranges for Business Intelligence Analyst roles in the area:

Experience Level	Salary Range (USD)
Mid-level	73K – 166K
Senior-level	75K – 176K

It’s important to note that these figures can vary based on the specific company, location within the metro area, and the individual’s qualifications. To apply, candidates should be prepared to showcase their analytical skills, understanding of business intelligence concepts, and proficiency with relevant tools and technologies.

25. Lead Data Engineer

The role of a Lead Data Engineer is pivotal in the data-driven landscape of the New York metro area. With a myriad of opportunities, this position demands a seasoned professional capable of managing complex data systems and leading a team of engineers. The ideal candidate typically has extensive experience in application development, including proficiency in languages such as Scala, Python, and familiarity with cloud services like AWS.

For those aspiring to step into this role, it’s essential to have a solid foundation in data engineering principles and hands-on experience with modern data processing frameworks. The job market is ripe with openings for Lead Data Engineers, reflecting the high demand for expertise in this field. Below is a list of job openings that highlight the diversity and availability of positions:

• Lead Data Engineer at Capital One
• Lead Data Product Manager (Hybrid)
• Data Lead at Makpar
• Lead Data Manager at OCT Consulting, LLC

Each position offers a unique set of responsibilities and benefits, catering to a range of experiences and career aspirations. Whether you’re looking for a role in a startup environment or a more established organization, the New York metro area has something to offer.

As the demand for skilled data professionals continues to soar, Ellytrends is proud to feature the coveted position of ‘Lead Data Engineer’ among our latest job openings. This role is a golden opportunity for those with a passion for data architecture, analytics, and leadership to advance their careers in Australia’s thriving job market. Don’t miss out on the chance to become a pivotal part of a forward-thinking team. Explore this opportunity and many others by visiting our Job Openings page today!