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Data Science 500K Jobs Jobs (NOW HIRING)

TriOptus LLC

Data Analyst - IT III

Chicago, IL · On-site

... computer science, or a related field • Excellent communication skills, with the ability to ... 500K of customers a day and our operation is complex 3. PowerBI 4. Independent with minimal ...

3Cloud

Principal Architect - Data & AI Solutions

... data scientists to ensure solution consistency, technical excellence, and alignment with go-to ... 500k+ deal success partnering with sales and account teams to influence pipeline progression and ...

Multiply Labs

Scientist II

San Francisco, CA · On-site

Costs are extremely high-often $500K-$2M per patient-limiting access to only a small fraction of ... Our technology allows biopharma companies to scale production without redesigning their science ...

Multiply Labs

Scientist II

San Francisco, CA · On-site

Costs are extremely high-often $500K-$2M per patient-limiting access to only a small fraction of ... Our technology allows biopharma companies to scale production without redesigning their science ...

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Data Science 500K Jobs information

What profession makes $400,000 a year?

In the field of data science, senior roles such as Lead Data Scientist or Data Science Director can earn $400,000 or more annually, especially with extensive experience, advanced skills in machine learning, and leadership responsibilities. High compensation often involves working in large organizations, consulting, or specialized industries like finance or technology.

What are Data Science 500K Jobs?

Data Science 500K Jobs refer to the rapidly growing number of job opportunities in the field of data science, which are projected to reach or exceed 500,000 positions due to the increasing demand for data-driven decision making in various industries. These jobs include roles like data analysts, machine learning engineers, data engineers, and business intelligence specialists. Data science professionals use statistical analysis, programming, and domain expertise to extract insights from data and help organizations solve complex problems. The field offers competitive salaries, continuous learning, and diverse career paths. As technology and data continue to grow, so does the need for skilled data science professionals.

What is the difference between Data Science 500K Jobs vs Data Analyst?

AspectData Science 500K JobsData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; often includes certifications in machine learning or data analysis toolsDegree in Statistics, Mathematics, or related fields; certifications in Excel, SQL, or data visualization tools common
Work EnvironmentTech companies, finance, healthcare, and large enterprises; focus on predictive modeling and advanced analyticsBusiness, marketing, finance sectors; focus on reporting, data visualization, and descriptive analytics
Employer & Industry UsageUsed across industries for developing models, algorithms, and predictive insightsUsed mainly for reporting, dashboards, and supporting decision-making processes

Data Science 500K Jobs and Data Analyst roles share some foundational skills but differ mainly in complexity and focus. Data scientists work on advanced modeling and machine learning, while data analysts focus on interpreting data and creating reports. Both roles are vital but serve different organizational needs.

What are some common challenges data scientists face when working on large-scale projects within organizations?

Data scientists working on large-scale projects often encounter challenges such as integrating data from multiple sources, ensuring data quality, and handling vast amounts of unstructured information. Collaboration with cross-functional teams, including engineers and business analysts, is crucial to align technical solutions with organizational goals. Additionally, communicating complex analytical findings to non-technical stakeholders and driving actionable insights can be demanding but is essential for project success.

What jobs in the US pay 300,000 a year?

In data science and related fields, senior roles such as Lead Data Scientist, Machine Learning Engineer, and Data Science Director can earn $300,000 or more annually, especially with extensive experience, advanced skills in programming and analytics, and leadership responsibilities. High-paying roles often require advanced degrees, specialized certifications, and a strong track record of impactful projects.

What jobs make $1,000,000 a year?

In the field of data science, very few roles reach a $1,000,000 annual salary, typically limited to highly experienced senior data scientists, chief data officers, or data science executives in large organizations. These positions often require advanced skills, extensive experience, leadership responsibilities, and sometimes equity or performance-based bonuses. Most data science roles offer salaries well below this threshold, but top executives and specialized consultants can achieve such earnings.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Chief Data Officer, or Machine Learning Director, with salaries exceeding $200,000 annually. These roles typically require extensive experience, advanced skills in machine learning, and leadership responsibilities.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in computer science, statistics, or a related field. Familiarity with machine learning frameworks (like TensorFlow or scikit-learn), data visualization tools, and experience with big data platforms (such as Hadoop or Spark) are typically required. Excellent problem-solving abilities, communication skills, and business acumen help data scientists translate complex data insights into actionable business strategies. These skills are crucial for extracting valuable insights from data, enabling organizations to make informed, data-driven decisions.
Infographic showing various Data Science 500K Jobs job openings in the United States as of June 2026, with employment types broken down into 3% Locum Tenens, 3% As Needed, 3% Full Time, 43% Part Time, 45% Contract, and 3% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Senior Consultant, AI & Data Engineering

Castleton Tower

New York, NY • Remote

$250K - $500K/yr

Full-time

Posted 16 days ago

Job description

The Firm

Castleton Tower is a boutique consulting firm founded by executives who have built and led quantitative research, data science, and technology teams at top-tier hedge funds and asset managers. We work exclusively with investment management firms (RIAs, family offices, hedge funds, and asset allocators) helping them modernize their data infrastructure and build AI-ready foundations.

What makes us different: We're a lean firm where senior practitioners do the actual work. No armies of junior consultants learning on your dime. Our engagements blend high-level strategy with hands-on technical implementation. We'll assess your technical & business strategy, design your data architecture and also code up the full stack infrastructure where needed.

The Opportunity

We're looking for a technical leader who can design and build data platforms for investment firms. This role emphasizes hands-on engineering while maintaining strategic client engagement. You'll architect data warehouses, build production pipelines, and develop quantitative tools that directly support investment decisions.

What you'll get:

  • Strategic Impact: Lead full-scope projects from architecture design to production deployment

  • Direct Mentorship: Work alongside the firm's Principals on every engagement

  • Modern Tech Stack: Work with best-in-class tools (Snowflake, Databricks, dbt, Dagster, cloud infrastructure, etc.) and cutting-edge AI/agentic development workflows

  • Path to Partnership: Clear trajectory toward firm equity and partnership for high performers

Core Responsibilities

Technical Leadership

  • Lead the design and implementation of scalable data platforms (data warehouses, data lakes) and end-to-end data pipelines

  • Develop and optimize production-grade code (Python/Spark) for data transformation and financial analysis

  • Build customized analytical applications, dashboards, and quantitative investment tools

  • Ensure efficient delivery and adherence to data governance and integrity standards

Client Engagement

  • Collaborate with client investment teams to translate investment process requirements into robust, automated tools and data products

  • Provide technical and project leadership across engagements

  • Understand client business context to ensure technical solutions solve real problems

Qualifications

Required:

  • 7+ years of hands-on experience in a technical or analytical role (Quant, Quant Dev, Data Scientist, or Data Engineer). Minimum of 5 years for highly exceptional candidates

  • Prior experience at hedge funds, fintech firms/startups, market makers, or top-tier asset management firms. Experience at top technology or strategy consulting firms considered on a case-by-case basis

  • Demonstrated project leadership, ideally overseeing technical delivery from inception to production

  • Proficiency in Python (Pandas, NumPy, Scikit-learn) and advanced SQL query optimization

  • Experience with at least one major cloud platform (AWS, GCP, or Azure) and associated data services (Snowflake, Databricks)

  • Deep understanding of data modeling and data warehousing principles

Valued:

  • Familiarity with data pipeline orchestration tools (Airflow, Dagster, Prefect)

  • Experience building quantitative trading or investment tools

  • Background in financial data (market data, portfolio analytics, fund accounting)

Personal Attributes:

  • High ownership mentality: you see problems through to resolution without being told

  • Understands what high-quality work looks like and how to deliver it

  • Curious and interested in learning about new technologies and the investment industry

  • Seeks to understand the broader business context, not just the technical requirements

  • Independent thinker who takes initiative

Location & Compensation

Location: Hybrid in the NYC area. Expect to travel roughly one week per month for on-site client work.

Compensation:

  • Total expected compensation: $250 to $500K+ (commensurate with experience)

  • Firm equity available for high performers

Compensation Range: $250K - $500K