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Temporary Data Science R Jobs in New York (NOW HIRING)

Citigroup, Inc.

VP Marketing Data Science

New York, NY · On-site

Proficiency in programming languages such as Python and R, and experience with relevant data science libraries and frameworks. * Experience with big data technologies, cloud platforms, and data ...

Cigna

Data Science Advisor - Hybrid

Morris Plains, NJ · On-site +1

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver ... Strong programming skills in Python, R, SQL, or similar tools. * Hands-on experience with machine ...

Citigroup

SVP Marketing Data Science

Manhattan, NY · On-site

Proficiency in programming languages such as Python and R, and experience with relevant data science libraries and frameworks. * Experience with big data technologies, cloud platforms, and data ...

MhyMatch

Data Scientist

New York, NY · On-site +1

Expert understanding of data science, machine learning, AI, and advanced analytics techniques. Skills: * Advanced proficiency in Python and R for statistical programming and model development.

PVH

Manager, Data Science- PVH Corp.

New York, NY

This role owns the modeling strategy, data science roadmap, and decisionsupport frameworks that ... Build scalable data pipelines and modeling workflows using SQL, Python/R, Spark, and cloudbased or ...

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What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data features. Data scientists often focus on the most impactful variables or tasks to optimize model performance and efficiency.

What jobs can you get knowing R?

Knowing R can qualify you for roles such as data analyst, data scientist, statistical programmer, or research analyst. These jobs involve data manipulation, statistical analysis, and visualization, often requiring familiarity with R packages like ggplot2 or dplyr and sometimes additional skills in SQL or Python.

Will AI replace data scientists in 2050?

As a temporary data science R, AI is expected to augment rather than replace data scientists by automating routine tasks and enhancing data analysis capabilities. Data scientists will continue to be essential for interpreting complex data, developing models, and applying domain expertise, especially as tools like machine learning frameworks evolve. Adaptability and skills in programming, statistics, and AI tools will remain valuable in the future job market.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Continuous learning and adapting to industry trends are key regardless of age.
What are the most commonly searched types of Data Science R jobs in New York? The most popular types of Data Science R jobs in New York are:
What cities in New York are hiring for Temporary Data Science R jobs? Cities in New York with the most Temporary Data Science R job openings:
Temporary Data Science R jobs near you
Data Science Growth Leader

Data Science Growth Leader

Sky Consulting Inc

Jersey City, NJ • On-site

Other

Re-posted yesterday

Job description

We are seeking a dynamic and experienced Data Science Growth Leader to join our team. This role will co-own business development and growth initiatives from a technical perspective, designing strategy & supporting the execution of GTM efforts for our end-to-end enterprise-grade data science technology capabilities & solutions in AI, ML & AI Engineering across industries & domains. The ideal candidate will have a strong focus on delivering business outcomes for our customers using Data Science and possess a deep & fundamental understanding of DS methodologies and AI technology from experience in successfully delivering such business outcomes in their own careers.

Key Responsibilities

Business Development & Growth:

  • Identify and pursue new business opportunities in the AI & ML space.
  • Develop and execute strategies to expand our client base and market presence.
  • Build and maintain strong relationships with key stakeholders and clients.
  • Collaborate with sales and marketing teams to create compelling value propositions and proposals.

Technical Leadership:

  • Lead the design, development, and deployment of enterprise-level data science solutions.
  • Ensure solutions are scalable, robust, and aligned with business objectives.
  • Stay abreast of the latest advancements in AI & ML technologies and integrate them into our offerings.
  • Mentor and guide a team of data scientists and engineers to achieve project goals.

Strategic Planning:

  • Develop and implement a strategic roadmap for data science initiatives.
  • Align data science projects with overall business strategy and client needs.
  • Drive innovation and continuous improvement in data science methodologies and practices.

Client Engagement:

  • Work closely with clients to understand their business challenges and requirements.
  • Translate client needs into actionable data science solutions.
  • Present findings, insights, and recommendations to clients in a clear and compelling manner.
Requirements

Advanced degree (Ph.D. or Master's) in Data Science, Computer Science, Statistics, or a related field.

18-20 years of extensive experience in the Data Science space.

Proven experience in a leadership role within the AI & ML services industry.

Strong track record of driving business development and growth initiatives.

Extensive experience in developing and deploying enterprise-level data science solutions.

Excellent communication and interpersonal skills.

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

Preferred Skills:

Experience with cloud platforms (AWS, Azure, Google Cloud).

Proficiency in programming languages such as Python, R, and SQL.

Familiarity with big data technologies (Hadoop, Spark).

Strong analytical and problem-solving skills.