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Greenfield engineering, applying existing modern ML and AI solutions to a profitable legal business.
This Jobot Job is hosted by: Charles Simmons
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000 - $220,000 per year
A bit about us:
Premier personal injury law firm in Orange County, committed to excellence and innovation. As we evolve, we are integrating AI-driven solutions to enhance client services, streamline legal processes, and optimize our business operations. We aim to be among the first law firms built from the ground up with AI at its core.
Why join us?
small, collaborative team environment, dedicated to innovation
Compensation:
Benefits:
Job Details
Seeking a skilled Data & ML Engineer to drive data-driven decision-making and optimize business strategies. This role plays a key part in leveraging data analytics, machine learning, and statistical modeling to improve business processes and enhance operational efficiency.
Role Overview:
The ideal candidate is a detail-oriented and analytical Data & ML Engineer with experience in handling large datasets and deriving meaningful insights. This role focuses on developing predictive models, analyzing business trends, and supporting automation initiatives through advanced data techniques.
What You'll Do:
Gathering data from diverse sources, cleaning, transforming, and structuring data for machine learning model training.
Extract, clean, and analyze data to generate insights that support business strategies.
Develop and deploy predictive models to enhance marketing, lead generation, and operational efficiency.
Create dashboards and reports that effectively communicate data-driven insights.
Identify inefficiencies and recommend data-backed solutions for business growth.
Work closely with cross-functional teams to integrate data science solutions into company operations.
What We're Looking For:
Strong experience in extracting, cleaning, and analyzing data to generate actionable insights.
Proficient in designing, using, and integrating both relational and columnar databases for data warehousing, business intelligence, and machine learning.
Proven ability to develop and deploy predictive models to enhance marketing, lead generation, and operational efficiency.
Experience creating impactful dashboards and reports using tools( e.g. Power BI, Looker, Tableau).
Ability to identify inefficiencies and recommend data-driven solutions for business growth.
Experience working closely with cross-functional teams to integrate data science solutions into operations.
Proficiency in Python or R, with experience using data science libraries (e.g., pandas, NumPy, scikit-learn).
Nice to Have:
Experience with data warehousing systems Snowflake, Redshift), data pipelines (Apache Kafka, Spark), and distributed computing platforms (Hadoop, AWS EMR)
Knowledge of advanced statistical methods and machine learning frameworks like TensorFlow or PyTorch.
Understanding of ETL processes and data pipeline architectures.
Background in marketing analytics, customer segmentation, and lead generation strategies.
Proficiency in designing and analyzing experiments to test hypotheses (A/B Testing).
Experience in the legal industry or with legal data.
Familiarity with scripting and automation to streamline data workflows.
Skills & Mindset:
Strong problem-solving and critical-thinking skills.
Entrepreneurial and adaptable mindset in a fast-paced environment.
Excellent communication skills to translate complex data insights for non-technical stakeholders.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
This Jobot Job is hosted by: Charles Simmons
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000 - $220,000 per year
A bit about us:
Premier personal injury law firm in Orange County, committed to excellence and innovation. As we evolve, we are integrating AI-driven solutions to enhance client services, streamline legal processes, and optimize our business operations. We aim to be among the first law firms built from the ground up with AI at its core.
Why join us?
- Design and implement custom AI solutions to improve existing business functions from scratch
small, collaborative team environment, dedicated to innovation
Compensation:
- Zone A (Bay Area, NYC, Boston, DC, Seattle, LA): $180,000-$220,000
- Zone B (Dallas, Atlanta, Denver, Chicago, Miami, Austin, Portland, Philadelphia, Minneapolis, Phoenix): $140,000-$180,000
- Zone C (All other cities/states): $120,000-$160,000
Benefits:
- Health coverage through United Healthcare (Medical, Dental, Vision).
- Life insurance.
- 401(k) matching.
- Paid time off (PTO) and sick days.
Job Details
Seeking a skilled Data & ML Engineer to drive data-driven decision-making and optimize business strategies. This role plays a key part in leveraging data analytics, machine learning, and statistical modeling to improve business processes and enhance operational efficiency.
Role Overview:
The ideal candidate is a detail-oriented and analytical Data & ML Engineer with experience in handling large datasets and deriving meaningful insights. This role focuses on developing predictive models, analyzing business trends, and supporting automation initiatives through advanced data techniques.
What You'll Do:
Gathering data from diverse sources, cleaning, transforming, and structuring data for machine learning model training.
Extract, clean, and analyze data to generate insights that support business strategies.
Develop and deploy predictive models to enhance marketing, lead generation, and operational efficiency.
Create dashboards and reports that effectively communicate data-driven insights.
Identify inefficiencies and recommend data-backed solutions for business growth.
Work closely with cross-functional teams to integrate data science solutions into company operations.
What We're Looking For:
Strong experience in extracting, cleaning, and analyzing data to generate actionable insights.
Proficient in designing, using, and integrating both relational and columnar databases for data warehousing, business intelligence, and machine learning.
Proven ability to develop and deploy predictive models to enhance marketing, lead generation, and operational efficiency.
Experience creating impactful dashboards and reports using tools( e.g. Power BI, Looker, Tableau).
Ability to identify inefficiencies and recommend data-driven solutions for business growth.
Experience working closely with cross-functional teams to integrate data science solutions into operations.
Proficiency in Python or R, with experience using data science libraries (e.g., pandas, NumPy, scikit-learn).
Nice to Have:
Experience with data warehousing systems Snowflake, Redshift), data pipelines (Apache Kafka, Spark), and distributed computing platforms (Hadoop, AWS EMR)
Knowledge of advanced statistical methods and machine learning frameworks like TensorFlow or PyTorch.
Understanding of ETL processes and data pipeline architectures.
Background in marketing analytics, customer segmentation, and lead generation strategies.
Proficiency in designing and analyzing experiments to test hypotheses (A/B Testing).
Experience in the legal industry or with legal data.
Familiarity with scripting and automation to streamline data workflows.
Skills & Mindset:
Strong problem-solving and critical-thinking skills.
Entrepreneurial and adaptable mindset in a fast-paced environment.
Excellent communication skills to translate complex data insights for non-technical stakeholders.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job Greenfield engineering, applying existing modern ML and AI solutions to a profitable legal business.
This Jobot Job is hosted by: Charles Simmons
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000 - $220,000 per year
A bit about us:
Premier personal injury law firm in Orange County, committed to excellence and innovation. As we evolve, we are integrating AI-driven solutions to enhance client services, streamline legal processes, and optimize our business operations. We aim to be among the first law firms built from the ground up with AI at its core.
Why join us?
small, collaborative team environment, dedicated to innovation
Compensation:
Benefits:
Job Details
Seeking a skilled Data & ML Engineer to drive data-driven decision-making and optimize business strategies. This role plays a key part in leveraging data analytics, machine learning, and statistical modeling to improve business processes and enhance operational efficiency.
Role Overview:
The ideal candidate is a detail-oriented and analytical Data & ML Engineer with experience in handling large datasets and deriving meaningful insights. This role focuses on developing predictive models, analyzing business trends, and supporting automation initiatives through advanced data techniques.
What You'll Do:
Gathering data from diverse sources, cleaning, transforming, and structuring data for machine learning model training.
Extract, clean, and analyze data to generate insights that support business strategies.
Develop and deploy predictive models to enhance marketing, lead generation, and operational efficiency.
Create dashboards and reports that effectively communicate data-driven insights.
Identify inefficiencies and recommend data-backed solutions for business growth.
Work closely with cross-functional teams to integrate data science solutions into company operations.
What We're Looking For:
Strong experience in extracting, cleaning, and analyzing data to generate actionable insights.
Proficient in designing, using, and integrating both relational and columnar databases for data warehousing, business intelligence, and machine learning.
Proven ability to develop and deploy predictive models to enhance marketing, lead generation, and operational efficiency.
Experience creating impactful dashboards and reports using tools( e.g. Power BI, Looker, Tableau).
Ability to identify inefficiencies and recommend data-driven solutions for business growth.
Experience working closely with cross-functional teams to integrate data science solutions into operations.
Proficiency in Python or R, with experience using data science libraries (e.g., pandas, NumPy, scikit-learn).
Nice to Have:
Experience with data warehousing systems Snowflake, Redshift), data pipelines (Apache Kafka, Spark), and distributed computing platforms (Hadoop, AWS EMR)
Knowledge of advanced statistical methods and machine learning frameworks like TensorFlow or PyTorch.
Understanding of ETL processes and data pipeline architectures.
Background in marketing analytics, customer segmentation, and lead generation strategies.
Proficiency in designing and analyzing experiments to test hypotheses (A/B Testing).
Experience in the legal industry or with legal data.
Familiarity with scripting and automation to streamline data workflows.
Skills & Mindset:
Strong problem-solving and critical-thinking skills.
Entrepreneurial and adaptable mindset in a fast-paced environment.
Excellent communication skills to translate complex data insights for non-technical stakeholders.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
This Jobot Job is hosted by: Charles Simmons
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000 - $220,000 per year
A bit about us:
Premier personal injury law firm in Orange County, committed to excellence and innovation. As we evolve, we are integrating AI-driven solutions to enhance client services, streamline legal processes, and optimize our business operations. We aim to be among the first law firms built from the ground up with AI at its core.
Why join us?
- Design and implement custom AI solutions to improve existing business functions from scratch
small, collaborative team environment, dedicated to innovation
Compensation:
- Zone A (Bay Area, NYC, Boston, DC, Seattle, LA): $180,000-$220,000
- Zone B (Dallas, Atlanta, Denver, Chicago, Miami, Austin, Portland, Philadelphia, Minneapolis, Phoenix): $140,000-$180,000
- Zone C (All other cities/states): $120,000-$160,000
Benefits:
- Health coverage through United Healthcare (Medical, Dental, Vision).
- Life insurance.
- 401(k) matching.
- Paid time off (PTO) and sick days.
Job Details
Seeking a skilled Data & ML Engineer to drive data-driven decision-making and optimize business strategies. This role plays a key part in leveraging data analytics, machine learning, and statistical modeling to improve business processes and enhance operational efficiency.
Role Overview:
The ideal candidate is a detail-oriented and analytical Data & ML Engineer with experience in handling large datasets and deriving meaningful insights. This role focuses on developing predictive models, analyzing business trends, and supporting automation initiatives through advanced data techniques.
What You'll Do:
Gathering data from diverse sources, cleaning, transforming, and structuring data for machine learning model training.
Extract, clean, and analyze data to generate insights that support business strategies.
Develop and deploy predictive models to enhance marketing, lead generation, and operational efficiency.
Create dashboards and reports that effectively communicate data-driven insights.
Identify inefficiencies and recommend data-backed solutions for business growth.
Work closely with cross-functional teams to integrate data science solutions into company operations.
What We're Looking For:
Strong experience in extracting, cleaning, and analyzing data to generate actionable insights.
Proficient in designing, using, and integrating both relational and columnar databases for data warehousing, business intelligence, and machine learning.
Proven ability to develop and deploy predictive models to enhance marketing, lead generation, and operational efficiency.
Experience creating impactful dashboards and reports using tools( e.g. Power BI, Looker, Tableau).
Ability to identify inefficiencies and recommend data-driven solutions for business growth.
Experience working closely with cross-functional teams to integrate data science solutions into operations.
Proficiency in Python or R, with experience using data science libraries (e.g., pandas, NumPy, scikit-learn).
Nice to Have:
Experience with data warehousing systems Snowflake, Redshift), data pipelines (Apache Kafka, Spark), and distributed computing platforms (Hadoop, AWS EMR)
Knowledge of advanced statistical methods and machine learning frameworks like TensorFlow or PyTorch.
Understanding of ETL processes and data pipeline architectures.
Background in marketing analytics, customer segmentation, and lead generation strategies.
Proficiency in designing and analyzing experiments to test hypotheses (A/B Testing).
Experience in the legal industry or with legal data.
Familiarity with scripting and automation to streamline data workflows.
Skills & Mindset:
Strong problem-solving and critical-thinking skills.
Entrepreneurial and adaptable mindset in a fast-paced environment.
Excellent communication skills to translate complex data insights for non-technical stakeholders.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job