Job Description
Company Overview
Google LLC, a global leader in internet services, artificial intelligence, and cloud computing, is dedicated to organizing the world’s information and making it universally accessible and useful. With a culture of innovation and a commitment to employee growth, Google offers a collaborative environment where data-driven insights shape products used by billions daily. The Junior Data Scientist (Work‑From‑Home) role joins a diverse, high‑impact team focused on building scalable analytics solutions for Google Cloud and consumer products.
Key Responsibilities
- Collect, clean, and preprocess large, heterogeneous data sets from internal and external sources.
- Develop and validate statistical models and machine learning algorithms to support product improvements and business decisions.
- Create clear, reproducible data pipelines using Python, SQL, and cloud‑based tools (BigQuery, Dataflow).
- Produce visualizations, dashboards, and concise reports that translate technical findings into actionable insights for cross‑functional stakeholders.
- Collaborate with senior data scientists, engineers, and product managers to define problem statements, experiment designs, and success metrics.
- Participate in code reviews, documentation, and knowledge‑sharing sessions to maintain high standards of data science practice.
Required Qualifications
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field; Master’s degree is a plus.
- 0‑2 years of professional experience or internships involving data analysis, statistical modeling, or machine learning.
- Proficiency in Python (pandas, scikit‑learn, TensorFlow/PyTorch) and SQL; familiarity with cloud platforms (Google Cloud Platform preferred).
- Strong foundation in probability, statistics, linear algebra, and experimental design.
- Ability to communicate complex analytical concepts to both technical and non‑technical audiences.
- Demonstrated problem‑solving mindset, attention to detail, and a passion for continuous learning.
Desired Skills
- Experience with data visualization tools such as Looker, Tableau, or Power BI.
- Knowledge of version control (Git) and agile development workflows.
- Exposure to A/B testing frameworks and causal inference techniques.
- Understanding of big‑data technologies (Spark, Hadoop) and containerization (Docker, Kubernetes).
- Prior contributions to open‑source projects or participation in data‑science competitions (Kaggle, DrivenData).
Compensation & Benefits
- Base salary range: $115,000 to $150,000 annually, dependent on experience and location.
- Annual performance bonus and equity awards aligned with Google’s long‑term incentive plan.
- Comprehensive health, dental, and vision coverage, including mental‑health resources.
- 401(k) plan with company match, generous paid parental leave, and unlimited PTO policy.
- Professional development budget, tuition reimbursement, and access to internal learning platforms.
- Remote‑work stipend for home‑office setup and quarterly coworking‑space allowance.
How to Apply
Visit Google Careers at careers.google.com, search for “Junior Data Scientist – Remote,” and submit your resume, a brief cover letter highlighting relevant projects, and any supporting portfolio or GitHub links. Applications are reviewed on a rolling basis; qualified candidates will be contacted for an initial virtual interview.
Google LLC, a global leader in internet services, artificial intelligence, and cloud computing, is dedicated to organizing the world’s information and making it universally accessible and useful. With a culture of innovation and a commitment to employee growth, Google offers a collaborative environment where data-driven insights shape products used by billions daily. The Junior Data Scientist (Work‑From‑Home) role joins a diverse, high‑impact team focused on building scalable analytics solutions for Google Cloud and consumer products.
Key Responsibilities
- Collect, clean, and preprocess large, heterogeneous data sets from internal and external sources.
- Develop and validate statistical models and machine learning algorithms to support product improvements and business decisions.
- Create clear, reproducible data pipelines using Python, SQL, and cloud‑based tools (BigQuery, Dataflow).
- Produce visualizations, dashboards, and concise reports that translate technical findings into actionable insights for cross‑functional stakeholders.
- Collaborate with senior data scientists, engineers, and product managers to define problem statements, experiment designs, and success metrics.
- Participate in code reviews, documentation, and knowledge‑sharing sessions to maintain high standards of data science practice.
Required Qualifications
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field; Master’s degree is a plus.
- 0‑2 years of professional experience or internships involving data analysis, statistical modeling, or machine learning.
- Proficiency in Python (pandas, scikit‑learn, TensorFlow/PyTorch) and SQL; familiarity with cloud platforms (Google Cloud Platform preferred).
- Strong foundation in probability, statistics, linear algebra, and experimental design.
- Ability to communicate complex analytical concepts to both technical and non‑technical audiences.
- Demonstrated problem‑solving mindset, attention to detail, and a passion for continuous learning.
Desired Skills
- Experience with data visualization tools such as Looker, Tableau, or Power BI.
- Knowledge of version control (Git) and agile development workflows.
- Exposure to A/B testing frameworks and causal inference techniques.
- Understanding of big‑data technologies (Spark, Hadoop) and containerization (Docker, Kubernetes).
- Prior contributions to open‑source projects or participation in data‑science competitions (Kaggle, DrivenData).
Compensation & Benefits
- Base salary range: $115,000 to $150,000 annually, dependent on experience and location.
- Annual performance bonus and equity awards aligned with Google’s long‑term incentive plan.
- Comprehensive health, dental, and vision coverage, including mental‑health resources.
- 401(k) plan with company match, generous paid parental leave, and unlimited PTO policy.
- Professional development budget, tuition reimbursement, and access to internal learning platforms.
- Remote‑work stipend for home‑office setup and quarterly coworking‑space allowance.
How to Apply
Visit Google Careers at careers.google.com, search for “Junior Data Scientist – Remote,” and submit your resume, a brief cover letter highlighting relevant projects, and any supporting portfolio or GitHub links. Applications are reviewed on a rolling basis; qualified candidates will be contacted for an initial virtual interview.
Required Skills
- Data
- Scientist