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Trainee Full Stack Data Scientist Jobs (NOW HIRING)

Redolent, Inc.

Data Scientist

Sunnyvale, CA · On-site

... as a full-stack data scientist who develops, optimizes, and scales models for the production environment • You connect the how and why using your knowledge of data science theories and ...

Snowflake

Senior Data Scientist - Product

Menlo Park, CA · On-site

$168K - $220K/yr

The Product Data Science team is looking for a Full-stack Senior Data Scientist to come aboard and be part of Snowflake's most critical initiatives. In this role, you will work closely with our ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Our full-stack Data Science Team uses Python for research and development. Our wide range of experience includes NLP, SpaCy, Transformers, and PyTorch recommendation systems, supervised and ...

Netflix

Data Scientist 5, Experimentation Platform

$372K - $600K/yr

We are looking to expand the number of full-stack data science faculty on the team to better support experimentation best-practice and drive further innovation in data science tooling.

Netflix

OR · On-site

$372K - $600K/yr

We are looking to expand the number of full-stack data science faculty on the team to better support experimentation best-practice and drive further innovation in data science tooling.

Bluefish AI

Senior Data Scientist

New York, NY

Bluefish is seeking a full-stack Senior Data Scientist who thrives in fast-paced environments and is passionate about building impactful, customer-centric AI solutions. This role is ideal for someone ...

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Trainee Full Stack Data Scientist information

What is the difference between Trainee Full Stack Data Scientist vs Data Analyst?

AspectTrainee Full Stack Data ScientistData Analyst
Required SkillsBasic programming, data analysis, machine learning fundamentalsData visualization, statistical analysis, Excel proficiency
CertificationsEntry-level data science courses, certifications in Python or RExcel, SQL, Tableau certifications
Work EnvironmentCollaborative teams, project-based, tech-focusedBusiness units, reporting, data interpretation
Industry UsageTech, finance, healthcare, startupsRetail, marketing, finance, healthcare

The Trainee Full Stack Data Scientist is an entry-level role focusing on developing skills in programming, machine learning, and data modeling, often in tech-driven environments. In contrast, Data Analysts primarily focus on data visualization, reporting, and statistical analysis to support business decisions. While both roles require analytical skills, the Data Scientist role involves more technical and coding expertise, whereas Data Analysts focus on interpreting data for insights.

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Trainee Full Stack Data Scientist jobs near you

Data Scientist Contractor

HCM Staffing and Consulting

Raleigh, NC

Other

Posted 15 days ago

Job description

As a Data Scientist Contractor, you will analyze complex data sets to extract meaningful insights and support data-driven decision-making.Collect, process, and analyze large datasets to identify trends, patterns, and insights.Develop and implement machine learning models and algorithms to solve business problems.Create data visualizations and dashboards to communicate findings to stakeholders.Collaborate with project teams to understand data requirements and deliver relevant analytical solutions.Ensure data accuracy and integrity by performing data validation and quality checks.
Primary Skill Required for the Role:


Level Required for Primary Skill:
Advanced (6-9 years experience)


Additional Skills Requested for Role:

DATA ANALYTICS - ADVANCED STATISTICAL ANALYSIS & MODELING Advanced (6-9 years experience) Required

DATA ANALYTICS - DATA VISUALIZATION Advanced (6-9 years experience) Required


Additional Details for Role:

3 days in client office
MINIMUM QUALIFICATIONS
10+ years of demonstrated experience in an Analytics and Strategy role.
Strong business acumen and the ability to think strategically and operationally.
Be a self-starter, driven, accountable and a high-energy team player.
Proven experience being a thought partner to cross-functional business teams offering actionable data insights and recommendations.
Demonstrated ability to influence without authority.
Excellent communication skills able to distill complex analysis into simple, compelling narratives. Background in consulting or customer-facing, fast-paced analytical environment.
Expertise with SQL, R or Python and data visualization tools such as Tableau for full-stack data analysis, insight synthesis and presentation.
Knowledge of and experience in leveraging Applied Statistical/ML techniques.
Bachelor's degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.
PREFERRED QUALIFICATIONS
15+ years of demonstrated experience in an Analytics and Strategy role, preferably in the payments/fintech domain.
Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action.
Track record of leading organization-wide strategic initiatives or transformative analytics projects.
Master's degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.

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