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Data Scientist Stock Market Jobs (NOW HIRING)

Job Title: Data Scientist Location: Austin, TX 78757 (or) Tampa, FL 33602 - Remote Full-Time As ... market dynamics - and you are comfortable translating complex model outputs into clear business ...

Market America is seeking a Data Scientist supporting our product, engineering, leadership and marketing teams with insights gained from analyzing company data. In this role you will be adept at ...

Data Scientist, AIML Data Scientist

Seattle, WA · On-site

$175.50 - $263.80/hr

We are seeking a highly motivated Senior Data Scientist to lead analysis into annotation project ... Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple ...

Data Scientist

Virginia, MN · On-site

$95 - $130/hr

This role is hybrid, and candidates must be located in the Raleigh or Washington, DC market to support 1-2 days onsite per week. This role is for a highly experienced and curious data scientist to ...

Market America is seeking a Data Scientist supporting our product, engineering, leadership and marketing teams with insights gained from analyzing company data. In this role you will be adept at ...

New

Data Scientist

Tampa, FL · On-site

$130K - $140K/yr

Job Title: Data Scientist Location: Austin, TX 78757 (or) Tampa, FL 33602 - Onsite Full-Time As ... CPG market dynamics -- and you are comfortable translating complex model outputs into clear ...

Data Scientist

Lake Forest, IL · Hybrid

$87K - $145K/yr

Develop expertise on Grainger's business operations, go-to-market model, and the broader Maintenance, Repair, and Operations (MRO) market. You Have : * Bachelor's Degree in Data Science, Statistics ...

Data Scientist

Chantilly, VA · On-site

$135K - $180K/yr

We are currently seeking a Data Scientist. This position is a full-time opportunity located in ... Salary ranges may vary based on geographic location and market conditions. Benefits: Live an ...

Data Scientist

Chantilly, VA · On-site

$135K - $180K/yr

We are currently seeking a Data Scientist. This position is a full-time opportunity located in ... Salary ranges may vary based on geographic location and market conditions. Benefits: Live an ...

Data Scientist

Philadelphia, PA · On-site

$103K - $173K/yr

Data Scientist Build AI That Accelerates Scientific Discovery Do you want your work to help ... Geographic differentials may apply in some locations to better reflect local market rates. If ...

Restricted Stock Units * Paid time off & paid holidays * Comprehensive health, dental & vision ... with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without ...

Job Summary : Total Quality Logistics is seeking a Data Scientist to design, build, and deploy ... The logistics industry is a $500 billion market. Founded in 1997, the company is headquartered in ...

Restricted Stock Units * Paid time off & paid holidays * Comprehensive health, dental & vision ... with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without ...

Data Scientist

Philadelphia, PA · On-site

$103K - $173K/yr

Data Scientist Build AI That Accelerates Scientific Discovery Do you want your work to help ... Geographic differentials may apply in some locations to better reflect local market rates. If ...

NY · On-site

$80 - $120/hr

The Data Scientist collects and integrates operational and market data, identifies trends and variances against forecast, designs and validates models, and operationalizes analytics in partnership ...

Data Scientist

Huntsville, AL · On-site

$69K - $125K/yr

... Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave ... market data, applicable bargaining agreement (if any), or other law.

Data Scientist

San Francisco, CA · On-site

$140 - $190/hr

... market fit with multiple multi-million-dollar customers, consistent expansion within existing accounts, and measurable ROI that moves stock prices. Ideal Candidates * Data Scientists who thrive in ...

The Marketing Data Scientist will analyze data to build predictive models that inform commercial ... market access on status of model pipeline and backlog; routinely collect voice of internal ...

Showing results 41-60

Data Scientist Stock Market information

See salary details

$46K

$165K

$243.5K

How much do data scientist stock market jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data scientist stock market in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a data scientist stock market position?

To thrive as a Data Scientist Stock Market, you need a strong background in statistics, machine learning, data analysis, and financial modeling, typically supported by a degree in a quantitative field. Proficiency in Python, R, SQL, and data visualization tools, as well as familiarity with financial data platforms like Bloomberg or FactSet, is highly valued; certifications like CFA or FRM can also be advantageous. Excellent problem-solving, communication, and collaboration skills set standout professionals apart, as they often work with cross-functional teams. These skills and qualities are crucial for generating actionable insights, driving investment decisions, and adapting to the fast-paced, data-driven environment of the financial markets.

What is a data scientist stock market?

A Data Scientist in the Stock Market analyzes financial data, detects patterns, and builds predictive models to support investment decisions. They use machine learning, statistical analysis, and big data tools to assess market trends, risks, and opportunities. Their work helps traders, portfolio managers, and financial institutions optimize strategies and improve returns.

What are the typical daily responsibilities of a data scientist stock market?

A Data Scientist in the stock market typically spends their day gathering and cleaning large sets of financial data, analyzing trends, and developing predictive models to forecast market movements. They frequently backtest investment strategies, create dashboards or reports to communicate findings, and collaborate closely with portfolio managers, traders, or financial analysts to implement data-driven decisions. Staying current with market events and continuously refining algorithms is also an important part of the role. This dynamic environment often requires adaptability, as priorities can shift rapidly based on market conditions.

More about Data Scientist Stock Market jobs
What are the most commonly searched types of Data Scientist Stock Market jobs? The most popular types of Data Scientist Stock Market jobs are:
What states have the most Data Scientist Stock Market jobs? States with the most job openings for Data Scientist Stock Market jobs include:
Infographic showing various Data Scientist Stock Market job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Full-time

Re-posted 22 days ago


Job description

Job Title: Data Scientist
Location: Austin, TX 78757 (or) Tampa, FL 33602 - Remote
Full-Time

As Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models for CPG portfolios on Databricks (Azure). Work closely with commercial, supply chain, and engineering teams to build ML solutions that improve forecast accuracy, reduce inventory waste, and support revenue growth. Bring deep ML expertise, strong Python engineering skills, and a nuanced understanding of CPG market dynamics - and you are comfortable translating complex model outputs into clear business recommendations.
Skills / Experience:
  • 8+ years in data science or Applied ML roles; 3+ years of experience in Databricks in production
  • 5+ years of experience in Python - Pandas, PySpark, scikit-learn, Azure ML or Azure ecosystem and Databricks experience in production
  • 5+ years of experience in Supervised, unsupervised Machine Learning (ML) algorithms, forecasting and inventory optimization
  • 5+ years of experience in deep learning algorithms applying to solve forecasting, regression and classification problems
  • 3+ years of experience in building ML models in CPG, FMCG, or Retail analytics industry
  • 3+ years of experience in MLflow or equivalent experiment tracking tool
  • Master's or PhD in Statistics, CS, or related field (preferred)

Job / Role Description:
  • Lead end-to-end sales forecasting model development - from data sourcing and feature engineering through model training, validation, and productionisation on Databricks (Azure)
  • Design and maintain forecasting pipelines - at SKU, category, and regional hierarchy levels - incorporating POS data, promotional calendars, seasonality indices, and external signals (macroeconomic, weather)
  • Apply CPG domain knowledge - to model promotional uplift, new product introduction curves, product cannibalization, and retailer sell-in/sell-out dynamics into ML features and targets
  • Operationalise ML models using MLflow on Databricks - manage the model registry, version control experiments, automate retraining schedules, and configure drift monitoring alerts
  • Collaborate with commercial and supply chain teams - to translate forecast outputs into inventory recommendations, production planning inputs, and revenue growth strategies
  • Define and enforce data science best practices - modelling standards, experiment documentation, code review guidelines, and reproducibility requirements across the team
  • Mentor junior data scientists - conduct code reviews, lead knowledge-sharing sessions, support career development, and build a high-performance data science culture
  • Communicate model insights and forecast accuracy - to senior stakeholders through dashboards, executive briefings, and written reports - making complex model behaviour accessible to business audiences
  • Drive continuous model improvement - benchmark new algorithms, evaluate AutoML approaches, and run controlled experiments to improve MAPE, bias, and coverage metrics
  • Partner with data and platform engineers - to ensure feature pipelines on Azure Data Lake / Delta Lake are reliable, scalable, and aligned with model refresh cadence requirements
  • Communicate effectively with internal and customer stakeholders; Strong interpersonal skills to build and maintain productive relationships with team members
  • Problem-Solving and Analytical Thinking; Capability to troubleshoot and resolve issues efficiently
  • Prior experience in working on Agile/Scrum projects with exposure to tools like Jira/Azure DevOps
  • Provides regular updates, proactive and due diligent to carry out responsibilities

Expected Outcome / What Success Looks Like
  • Data Scientist is expected to meet customer expectations within accelerated timelines, enabling us to strengthen our capabilities and drive growth in this area
  • Statistical Analysis & Experimentation - A/B testing, causal inference, and hypothesis testing to measure the business impact of model improvements and pricing interventions
  • This role offers the opportunity to lead high-impact data science initiatives that directly shape customer outcomes and gain strong visibility with senior leadership

Lorven technologies logo

About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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