LEAD ENGINEER - SR. COMPUTER SCIENTIST - Kinesioception Lead
Southwest Research Institute
San Antonio 1 months ago 25 views
Full-time On-site Mid Level Engineering
Technology
Data Scientist Career Path
Turn raw data into actionable insights. Data scientists combine statistics, programming, and domain expertise to solve complex business problems.
4 career levels
$55K-$75K → $190K-$300K+
Career Ladder
1
Entry Level
Junior Data Analyst
$55K-$75K
0-2 years
Clean data, create reports, build dashboards. Learn to ask the right questions.
Day-to-Day Responsibilities
- Apply Excel/Google Sheets and SQL in daily work
- Collaborate with team members on technology initiatives
- Build expertise in Basic Statistics, Data Visualization
- Document processes and contribute to team knowledge base
- Meet entry-level performance expectations and deliverables
Skills Required
Excel/Google SheetsSQLBasic StatisticsData VisualizationPython/R basicsTableau/Power BI
What to Focus On
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.
How to Advance to Data Scientist
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.
2
Mid Level
Data Scientist
$90K-$140K
2-5 years
Build predictive models, design experiments, communicate insights to stakeholders.
Day-to-Day Responsibilities
- Apply Machine Learning and Statistical Modeling in daily work
- Collaborate with team members on technology initiatives
- Build expertise in Python (Pandas/Scikit-learn), Feature Engineering
- Document processes and contribute to team knowledge base
- Meet mid-level performance expectations and deliverables
Skills Required
Machine LearningStatistical ModelingPython (Pandas/Scikit-learn)Feature EngineeringA/B TestingDeep Learning basics
What to Focus On
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.
How to Advance to Senior Data Scientist
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.
3
Senior Level
Senior Data Scientist
$140K-$190K
5-8 years
Lead complex ML projects, build production systems, guide data strategy.
Day-to-Day Responsibilities
- Apply Advanced ML/DL and MLOps in daily work
- Collaborate with team members on technology initiatives
- Build expertise in Experiment Design, Mentoring
- Document processes and contribute to team knowledge base
- Meet senior-level performance expectations and deliverables
Skills Required
Advanced ML/DLMLOpsExperiment DesignMentoringCross-functional LeadershipProduction ML Systems
What to Focus On
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.
How to Advance to Principal Data Scientist / Head of Data
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.
4
Lead Level
Principal Data Scientist / Head of Data
$190K-$300K+
8+ years
Define data strategy, lead research teams, drive AI adoption across the organization.
Day-to-Day Responsibilities
- Apply Data Strategy and Research Leadership in daily work
- Collaborate with team members on technology initiatives
- Build expertise in AI/ML Architecture, Executive Communication
- Document processes and contribute to team knowledge base
- Meet lead-level performance expectations and deliverables
Skills Required
Data StrategyResearch LeadershipAI/ML ArchitectureExecutive CommunicationTeam BuildingInnovation
What to Focus On
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.
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Frequently Asked Questions
What skills do I need to become a Junior Data Analyst?
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.
What skills do I need to become a Data Scientist?
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.
What skills do I need to become a Senior Data Scientist?
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.
What skills do I need to become a Principal Data Scientist / Head of Data?
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.
What is the salary range for a Data Scientist?
Data Scientist salaries range from $55K-$75K at entry level to $190K-$300K+ at the Lead level.