Turn raw data into actionable insights. Data scientists combine statistics, programming, and domain expertise to solve complex business problems.
$55K-$75K
0-2 years
Clean data, create reports, build dashboards. Learn to ask the right questions.
At the entry level, focus on building strong foundations in Excel/Google Sheets, SQL, Basic Statistics. Understand the fundamentals deeply before moving to advanced topics. Clean data, create reports, build dashboards. Learn to ask the right questions.
To advance from Junior Data Analyst to Data Scientist, you need to demonstrate mastery of Excel/Google Sheets, SQL, Basic Statistics and start developing skills in Machine Learning, Statistical Modeling. Take on stretch assignments, seek mentorship, and build a track record of consistent delivery.
$90K-$140K
2-5 years
Build predictive models, design experiments, communicate insights to stakeholders.
At the mid level, focus on building strong foundations in Machine Learning, Statistical Modeling, Python (Pandas/Scikit-learn). Deepen your expertise and start developing leadership skills. Build predictive models, design experiments, communicate insights to stakeholders.
To advance from Data Scientist to Senior Data Scientist, you need to demonstrate mastery of Machine Learning, Statistical Modeling, Python (Pandas/Scikit-learn) and start developing skills in Advanced ML/DL, MLOps. Take on stretch assignments, seek mentorship, and build a track record of consistent delivery.
$140K-$190K
5-8 years
Lead complex ML projects, build production systems, guide data strategy.
At the senior level, focus on building strong foundations in Advanced ML/DL, MLOps, Experiment Design. Deepen your expertise and start developing leadership skills. Lead complex ML projects, build production systems, guide data strategy.
To advance from Senior Data Scientist to Principal Data Scientist / Head of Data, you need to demonstrate mastery of Advanced ML/DL, MLOps, Experiment Design and start developing skills in Data Strategy, Research Leadership. Take on stretch assignments, seek mentorship, and build a track record of consistent delivery.
$190K-$300K+
8+ years
Define data strategy, lead research teams, drive AI adoption across the organization.
At the lead level, focus on building strong foundations in Data Strategy, Research Leadership, AI/ML Architecture. Deepen your expertise and start developing leadership skills. Define data strategy, lead research teams, drive AI adoption across the organization.
TYG
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Key skills for Junior Data Analyst (0-2 years): Excel/Google Sheets, SQL, Basic Statistics, Data Visualization, Python/R basics, Tableau/Power BI. Clean data, create reports, build dashboards. Learn to ask the right questions.
Key skills for Data Scientist (2-5 years): Machine Learning, Statistical Modeling, Python (Pandas/Scikit-learn), Feature Engineering, A/B Testing, Deep Learning basics. Build predictive models, design experiments, communicate insights to stakeholders.
Key skills for Senior Data Scientist (5-8 years): Advanced ML/DL, MLOps, Experiment Design, Mentoring, Cross-functional Leadership, Production ML Systems. Lead complex ML projects, build production systems, guide data strategy.
Key skills for Principal Data Scientist / Head of Data (8+ years): Data Strategy, Research Leadership, AI/ML Architecture, Executive Communication, Team Building, Innovation. Define data strategy, lead research teams, drive AI adoption across the organization.
Data Scientist salaries range from $55K-$75K at entry level to $190K-$300K+ at the Lead level.