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Data Scientist Forecasting Jobs in Raleigh, NC (NOW HIRING)

Data Analytics Analyst II

Durham, NC · Remote

$56K - $140K/yr

... life sciences industry. IQVIA possesses the largest and most comprehensive set of healthcare data ... Developing and working with reporting tools such as PowerBI to derive insights and forecasting

Present data to clients * Independently write plans and reports for validation * Responsible for ... Order and keep accurate inventories of supplies for laboratory needs and forecast future needs ...

Present data to clients * Independently write plans and reports for validation * Responsible for ... Order and keep accurate inventories of supplies for laboratory needs and forecast future needs ...

Analyze & interpret data * Prepare summary tables * Peer review raw data * Prepare buffers ... Order and keep accurate inventories of supplies for laboratory needs and forecast future needs ...

About IQVIA Clinical & Patient Technology IQVIA is The Human Data Science Company, focused on using ... Drive accountability for forecast accuracy, pipeline health, and deal execution discipline

Forecasting & Reporting: Maintain accurate pipeline management and forecasting in CRM systems, with ... Experience managing complex, consultative sales cycles involving scientific, commercial, and data ...

New

... ML-based forecasting) and ERP systems like SAP or Kinaxis. • Compliance: Awareness of evolving regulatory and data privacy standards applicable to life sciences supply chains. Skills: • ...

Showing results 21-40

Data Scientist Forecasting information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do data scientist forecasting jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data scientist forecasting in Raleigh, NC is $119,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the data scientist forecasting position, and why are they important?

To thrive as a Data Scientist Forecasting, you need a robust background in statistics, time series analysis, and predictive modeling, usually backed by a degree in a quantitative field. Expertise with programming languages like Python or R, experience with machine learning libraries, and familiarity with forecasting tools such as Prophet or ARIMA are typically expected, along with relevant certifications. Strong problem-solving abilities, communication skills, and an analytical mindset help distinguish exceptional candidates. These skills are essential to translating complex data into actionable business insights and accurate forecasts that drive organizational decision-making.

What is a data scientist forecasting?

A Data Scientist Forecasting job focuses on analyzing historical data to build predictive models that forecast future trends, demands, or outcomes. This role involves working with statistical modeling, machine learning, and time series analysis to generate actionable insights. Data Scientist Forecasters commonly work in industries like finance, retail, supply chain, and marketing to improve decision-making. Strong programming skills in Python or R, proficiency with data visualization, and knowledge of forecasting techniques are essential for this role.

What are typical daily tasks for a data scientist forecasting?

As a Data Scientist specializing in forecasting, your daily tasks often include collecting and preprocessing time series data, building and testing predictive models, and analyzing trends to improve forecast accuracy. You will collaborate with cross-functional teams, such as business analysts and product managers, to understand forecasting needs and present your findings clearly to stakeholders. Regularly, you'll also monitor model performance, experiment with new algorithms or features, and refine existing solutions based on business feedback and emerging data. This dynamic role offers a blend of independent analytical work and teamwork, making each day both challenging and rewarding.

What are the most commonly searched types of Data Scientist Forecasting jobs in Raleigh, NC? The most popular types of Data Scientist Forecasting jobs in Raleigh, NC are:
What job categories do people searching Data Scientist Forecasting jobs in Raleigh, NC look for? The top searched job categories for Data Scientist Forecasting jobs in Raleigh, NC are:
Infographic showing various Data Scientist Forecasting job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $119,312 per year, or $57.4 per hour.

Practice Area Leader, Data, AI & Analytics Strategy

Syneos Health/ inVentiv Health Commercial LLC

Morrisville, NC • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago


Syneos Health rating

8.1

Company rating: 8.1 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

38th of 86 rated pharmaceutical


Job description

Description

The Practice Leader, Data, AI & Analytics Strategy is responsible for setting the vision, direction, and commercial success of the firm's Data & Analytics consulting capability. This leader oversees a portfolio of client engagements and a multi level team, ensuring data, analytics and AI are used to solve real, near term pharma client problems.
The Practice Leader shapes how data strategy is developed, how complex data is interpreted, and how insights are translated into business decisions across the entire consulting business.
The role combines strategic leadership, commercial accountability, and hands on client engagement, and is accountable for practice growth, talent development, delivery quality, and cross functional partnership.
Core Responsibilities
Practice Strategy & Direction
  • Define and evolve the Data, AI & Analytics consulting strategy aligned to client demand and enterprise priorities
  • Establish a clear point of view on:
    • How data and analytics should be used to address pharma client questions
    • Where analytics creates value now
  • Ensure the practice remains client led, insight driven, and commercially grounded
  • Translate business problems into scalable and repeatable AI solutions
Client Advisory & Thought Partnership
  • Serve as a senior trusted advisor to pharma and biotech clients
  • Guide clients in:
    • Framing business problems solvable through data and analytics
    • Understanding what data is available and how best to use it
    • Interpreting complex, imperfect datasets to drive decisions
  • Maintain close proximity to client teams-credible in their language, pressures, and timelines
  • Balance strategic perspective with practical, actionable recommendations
Commercial Growth & Market Impact
  • Own practice level growth, pipeline contribution, and sales targets
  • Lead and support opportunity shaping, proposal development and analytical storytelling in client pitches
  • Support a quick and repeatable selling cycle, focused on:
    • Immediate client needs
    • Tangible analytics use cases
    • Pragmatic solutions with clear ROI
  • Partner closely with Consulting and Commercial leadership to expand accounts and build durable analytics led revenue streams
Delivery Excellence & Analytics Leadership
  • Ensure delivery teams leverage analytics effectively to:
    • Answer client questions
    • Generate insight, not just outputs
    • Inform recommendations and decisions
  • Guide complex analytics efforts focused on:
    • Data synthesis
    • Interpretation across sources
    • Insight development -not technology platform construction
  • Ensure consistently high quality, defensible, and decision ready client deliverables
People Leadership & Capability Building
  • Lead, develop, and retain a multi layered analytics and consulting team, including Directors, MDs, Managers, and individual contributors
  • Build a scalable, high impact practice team across architecture, data science, and consulting embedded in real client work
  • Foster collaboration across Consulting, Technology, Commercial, and Clinical partners
  • Build a strong culture of ownership, pragmatism, and teamwork
Ideal Background & Experience
  • MBA or a graduate degree in a life sciences field
  • Known authority in the market in a particular industry function or domain; able to leverage external network to improve profitable revenues and market positioning
  • A strong history of successfully selling, delivering and growing revenues
  • Demonstrated new business experience, from organic growth to RFI/RFP planning, development, and execution
  • Demonstrated competency in building high performing, customer-focused teams
  • Financial acumen in business planning and forecasting
  • 12-15+ years of experience in life sciences consulting, strategy, and/or analytics
  • Experience leveraging AI in support of data strategy, advanced analytics, and decision driven problem solving
  • Proven track record of:
    • Leading consulting practices or large capability areas
    • Driving commercial growth through client led analytics work
    • Managing and developing senior consulting leaders
  • Deep understanding of pharma and life science industry
  • Strong ability to connect data strategy to client decision making
  • Demonstrated success operating in mid size consulting environments where leaders must balance strategy, sales, and delivery

What Success Looks Like

  • A well defined, respected Data & Analytics consulting practice with clear market relevance
  • Strong, sustained analytics led revenue growth
  • Clients view the firm as a go to partner for applied, decision driven analytics
  • Data strategy is seen as a core enabler of Consulting impact, not a parallel technical function

The annual base salary for this position ranges from $X to $Y. The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate's qualifications, skills, competencies, and proficiency for the role. In addition, some positions may include eligibility to earn commissions/bonus based on company and / or individual performance.

At Syneos Health, we are dedicated to building a diverse, inclusive and authentic workplace. If your past experience doesn't align perfectly, we encourage you to apply anyway. At times, we will consider transferable skills from previous roles. We also encourage you to join our Talent Network to stay connected to additional career opportunities.

Why Syneos Health? Here, you're a part of the big picture. You will collaborate with colleagues across clinical and commercial disciplines to guide premarket development through post-market commercial strategy. Every project is a chance to solve a new challenge, learn from your colleagues, and advance your career. The diversification and breadth of our new and existing partnerships create a multitude of career paths and employment opportunities. Join our game-changing, global company dedicated to creating better, smarter, faster ways to get biopharmaceutical therapies to patients. Experience the thrill of knowing that your everyday efforts are contributing to improving patients' lives around the world.

Work Here Matters Everywhere | How are you inspired to change lives?

Syneos Health companies are affirmative action/equal opportunity employers (Minorities/Females/Veterans/Disabled)

At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position will include a competitive compensation package, Health benefits to include Medical, Dental and Vision, Company match 401k, flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos Health complies with all applicable federal, state, and municipal paid sick time requirements.


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