Data Science Trainee Jobs in New York

Experience working within AWS or GCP Ecosystem as it applies to managed services and serverless technologies.

10+ years of experience working in applied data science field with a strong technical foundation

You will elevate the strategic conversation with actionable insights that further push and drive our innovation.

You’re a strong coach and mentor, you know how to get the best from people!

You work with stakeholders and able to understand their needs and make products that solve business problems

MS or PhD (Preferred) in Machine Learning, AI, Computer Science, Mathematics

Step 2: Achieve Industry-Recognized Certifications

On-Site Data Analyst Position - $28k-$35k Per Annum

Wondering how it all works?

EXCEL, NUMPY, PANDA, SCIPY, PowerBI, Python, R-PROGRAMMING, MySQL, Tableau ,

Step 1: Dive into Live Expert Training from Industry Leaders

Step 3: Start Your New Role as a Data Analyst

Step 2: Achieve Industry-Recognized Certifications

On-Site Data Analyst Position - $28k-$35k Per Annum

Wondering how it all works?

EXCEL, NUMPY, PANDA, SCIPY, PowerBI, Python, R-PROGRAMMING, MySQL, Tableau ,

Step 1: Dive into Live Expert Training from Industry Leaders

Step 3: Start Your New Role as a Data Analyst

Working knowledge of IQVIA syndicated data offerings and understanding of commercial analytics within oncology space is preferred.

Establish and manages the continued close relationship with stakeholders.

Knowledge in developing descriptive, predictive, and prescriptive algorithms and modeling to support commercial initiatives.

Proven knowledge of business processes and industry/market trends within the pharmaceutical/healthcare space

Thoroughly appreciate the assigned internal stakeholder business needs and priorities to help build analyses promoting business objectives by delivering actionable insights.

Comprehend the complexity/dependencies between multiple teams, platforms (people, technologies)

Practical experience building evaluating and deploying machine learning pipelines as with python, preferably with the scikit- learn ecosystem

Experience with SQL, accessing and organizing data drawn from relational databases

Experience in cloud computing ecosystems (preferably in AWS)

Practical experience in deep learning architectures and frameworks is a plus

Experience with computational statistics and understanding of theoretical fundamentals of statistics

Demonstrated communication skills including the ability switch between technical and business contexts.

Experience with building end-to-end reusable pipelines from data acquisition to model output delivery

Practices leadership and communication skills to influence teams and to evangelize data science across the organization

Hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning.

Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization

Proficient in NLP techniques, Explainable AI, and ML frameworks

Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R

5+ years of professional experience in data science/analytics

Experience partnering with multiple teams across Adobe

Hands-on knowledge of descriptive and inferential statistics to understand usage behaviors and generate hypotheses

Experience crafting dashboards in Tableau or PowerBI

Experience with modern data science workflows on the cloud (Databricks, Git, Jupyter, Python, AWS, Azure)

Excellent communication, relationship skills, and a strong standout colleague

Apply advanced analytics to evaluate live investment opportunities, working collaboratively with the portfolio company management teams to enhance business value

7-10 years of experience in a data science role

Experience with data visualization tools such as Tableau or Power BI

Prior experience in financial services or consulting, particularly private equity, is strongly preferred

Source, incorporate, and analyze alternative datasets to support investment processes and drive innovation in our private equity business

Ensure a strong commitment to quantitative methods, algorithmic fairness, and data privacy across all aspects of the data analysis process

Manager/Lead Data Science experience would be key

A vast experience of products (digital/technical etc.)

Experience setting up Data teams would be beneficial for this role, but not crucial

Must have experience of hiring mass contractors within data/analytics teams.

Previous history working within a retailer would be great.

Collaborate with Algorithms Product Managers, Clinical Researchers, and Engineers of all disciplines to continuously improve our ranking and directory ecosystems

1 year of professional experience in a fast-paced work environment

A desire to write sophisticated code in Python and SQL for production systems. Bonus for experience with data architecture

Garner is headquartered in NYC. This role can be hybrid or remote.

Conduct deep research to develop methodologies that measure the quality and efficiency of doctors

Design and implement models that predict the validity of provider information including practice address and contact information

JOB REQUIREMENTS (Education, Experience, and Training):

Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

Minimum 3 years experience in Data Science or related area

Experience using statistical computer languages (Python preferred) to manipulate data and draw insights from large data sets.

Experience designing, conducting, analyzing, and interpreting experiments and investigations.

Problem solving, critical thinking, creativity, organizational, design, interpersonal, communication (written, verbal and listening) skills.

Experience with project planning and management

Based on evaluation of education, skills, experience, and interview.

Passion for improving New York’s public transit system

Demonstrated knowledge and skills in enterprise data management, data governance, data quality principles and methodologies.

A minimum of 2 years of Business Intelligence (BI), Data Management, Data Mining experience, and MS Power BI.

Works within clearly defined policies, principles, and specific objectives in consultation with departmental management.

Overall strategy and approach is made in consultation with departmental management and/or HQ Senior Management.

Attainment of or in the process of attaining advanced HR certification such as SPHR or SHRM-SCP or equivalent certificate or experience.

Must have knowledge of HR, Payroll, and Finance business processes as well as intra and inter departmental functions.

Knowledge of the principles of machine earning, classification models, time series regression and stochastic statistics to deliver improved business performance

Demonstrated experience with SQL, R or a comparable programming language (such as Python, SAS, SPSS, or MATLAB)

Strong quantitative and problem solving skills with focus hypothesis formulation and testing.

Translates business queries into actionable and commercial insights leveraging unstructured data and statistically robust techniques.

Works with engineers to evangelize data best practices and implement analytics solutions.

Demonstrated ability to communicate complex concepts.