Top 30 Entry level scientist Jobs in Charlotte, Nc

Decision Scientist
Belk —Charlotte, NC
- $95,000 - $125,000 a year
- Computer Science
- SQL
- Bachelor's degree
Entry-Level Environmental Engineer/Geologist/Scientist
S&ME, Inc. —Charlotte, NC
- Full-time
- Construction site
- Engineering
- Office
- Paid parental leave
- Fuel card
Quick Apply
Technician Chem-Ops
Sealed Air —Charlotte, NC
- $37 an hour
- Online Application
- Computer literacy
- Basic math
- Mid-level
- Disability insurance
- Health insurance
5d
Technician Laboratory - 2nd Shift
Coca-Cola Consolidated, Inc. —Charlotte, NC
- $28.82 - $31.03 an hour
- Monday to Friday
- Computer literacy
- Ability to climb stairs
- High school diploma or GED
- Employee stock purchase plan
- Health insurance
4d
Research Technician
UNC Charlotte —Charlotte, NC
- $47,235 - $50,000 a year
- Full-time
- Mid-level
- Supervising experience
- University
11d
Field Scientist
Terracon —Charlotte, NC
- Mid-level
- Driver's License
- Bachelor's degree
- Paid holidays
- Health insurance
Microbiology Analyst
Glenmark Pharmaceuticals Inc. —Monroe, NC
- Full-time
- Organizational skills
- Communication skills
- Entry level
10d
Associate Epidemiologist
Guidehouse Digital, LLC —Charlotte, NC
- $53,000 - $88,000 a year
- Full-time
- Azure
- Mid-level
- Bachelor's degree
- Commuter assistance
- Health savings account
6d
Entry Level Geologist/Hydrogeologist (Charlotte, NC)
Jacobs —Charlotte, NC
- $58,656 - $73,000 a year
- Full-time
- Hybrid work
- Microsoft Excel
- Microsoft Outlook
- Engineering
- Paid holidays
- Health insurance
Research Technician
Li Industries, Inc. —Pineville, NC
- $22 - $28 an hour
- Full-time
- Background check
- Mid-level
- Assembly
- Health savings account
- Health insurance
Quick Apply
13d
Laboratory Technician I IRCAD - Per Diem
Atrium Health —Charlotte, NC
- $19.80 - $29.70 an hour
- Part-time
- Bachelor of Science
- Research
- Office
- Paid parental leave
- Disability insurance
MLT or Medical Lab Scientist
CaroMont Health —Gastonia, NC
- Full-time
- Customer service
- No experience needed
- Bachelor's degree
Assoc Analytical Chemist
MKS Inc. —Rock Hill, SC
- Full-time
- Bachelor of Science
- Engineering
- Ability to lift 50 pounds
Quick Apply
11d
Client Services Tech 1
Pace Analytical Services —Huntersville, NC
- $17 an hour
- Full-time
- Customer service
- Laboratory experience
- High school diploma or GED
- Wellness program
- Health savings account
Laboratory Tech 6 (Met Eval)
ATI —Monroe, NC
- Night shift
- Computer literacy
- Basic math
- High school diploma or GED
Quick Apply
Laboratory Technician
MANN+HUMMEL —Gastonia, NC
- High school diploma or GED
- 1 year
- Associate's degree
Quick Apply
7d
Inspection Technician
Wind River Environmental LLC —Stanley, NC
- $21 - $22 an hour
- Full-time
- Residential
- High school diploma or GED
- Ability to lift 50 pounds
Quick Apply
6d
SEM Technician
ATI —Monroe, NC
- Night shift
- High school
- Word processing
- Computer literacy
Quick Apply
Field Tech 1
Pace Analytical Services —Huntersville, NC
- $17.50 an hour
- Overtime
- Research
- High school diploma or GED
- Driver's License
- Wellness program
- Health savings account
2d
Computational Biology Expert - AI Trainer
micro1 —United States
- $90 - $120 an hour
- Contract
- Remote
- No experience needed
- Analysis skills
- Doctor of Philosophy
- Flexible schedule
5d

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Decision Scientist

Belk -
Charlotte, NC

Apply Now

Job Details

$95,000 - $125,000 a year

Qualifications

Predictive modeling analysis
Bachelor's degree

Full Job Description

The Decision Scientist will support the design, development, and deployment of Next Best Action (NBA) models that determine the optimal marketing action across channel, promotion, and creative. These models power decisioning across owned channels including email, SMS, and push, enabling personalized, data-driven customer engagement at scale.

This role sits at the intersection of marketing strategy and data science, and requires an ability to work collaboratively with marketing, technology, and merchandising partners.

Essential Functions:Next Best Action Modeling:
Design and build end-to-end Next Best Action (NBA) decision models that optimize marketing channel, promotion type, creative variant, and send timing at the individual customer level
Support or contribute to reinforcement learning, multi-armed bandit, or contextual bandit frameworks as part of the NBA decisioning engine, with opportunity to grow expertise in this area
Develop propensity models (purchase, churn, reactivation, category affinity) that serve as inputs to the NBA decisioning engine
Build and maintain customer-level response models measuring incremental lift from marketing interventions across email, SMS, and push
Collaborate with marketing technology teams to deploy models into real-time or near-real-time decisioning environments (e.g., via API or CDP integration)

Marketing Optimization & Experimentation:
Design and analyze A/B and multivariate experiments to measure model performance and continuously refine decisioning logic
Partner with campaign operations to translate model outputs into actionable audience segments, suppression lists, and treatment assignments
Apply optimization approaches that balance short-term revenue goals with longer-term customer engagement and retention objectives
Build holdout and incrementality testing infrastructure to ensure accurate measurement of model-driven lift

Customer Intelligence & Feature Engineering:
Mine transactional, behavioral, and engagement data to engineer predictive features at the customer level
Build and maintain customer feature stores supporting NBA model inputs: recency, frequency, category affinities, channel responsiveness, and promotional sensitivity
Integrate third-party data sources (demographic overlays, loyalty data) to enrich model inputs and improve prediction accuracy
Develop deep understanding of Belk customer segments by loyalty tier, shopping occasion, and FOB affinity to ensure models reflect behavioral nuance

Analytics Engineering & Model Operations:
Write clean, well-documented code in Python and/or R for model development, feature engineering, and scoring workflows
Build SQL-based data pipelines to extract, transform, and prepare modeling datasets from enterprise data platforms
Establish model monitoring, drift detection, and retraining cadences to maintain model accuracy over time
Document model methodology, assumptions, validation results, and performance benchmarks to support governance and reproducibility

Stakeholder Partnership & Communication:
Partner with marketing strategists and CRM leads to define decisioning use cases and prioritize the model development roadmap
Translate complex model outputs and findings into clear business narratives for non-technical marketing and business stakeholders
Contribute ideas and best practices within the Decision Science function, and collaborate effectively across analytics and marketing teams

Education:
Bachelor’s Degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or related quantitative field required.

Work Experience:
2-4 years applied data science, quantitative analytics, or related work; hands-on experience with predictive modeling in an academic or professional setting required.
1-2 years building models in a retail, e-commerce, marketing, or related business context preferred.
Experience deploying models into production environments; familiarity with CDP platforms (e.g., Salesforce Marketing Cloud, Adobe, Braze) a strong plus.

Knowledge, Skills & Abilities:
Expert-level proficiency in Python and/or R for statistical modeling, machine learning, and data manipulation
Deep knowledge of supervised and unsupervised ML algorithms: gradient boosting (XGBoost, LightGBM), neural networks, clustering, and survival models
Awareness of or exposure to reinforcement learning, multi-armed bandit, or contextual bandit approaches; willingness to develop deeper expertise
Strong SQL skills for complex data extraction and feature engineering from large enterprise datasets
Familiarity with cloud-based data environments (Snowflake, Databricks) and interest in developing model deployment skills
Proven ability to frame ambiguous business problems into structured analytical approaches and model designs
Working knowledge of customer lifecycle dynamics and an interest in CRM and loyalty marketing applications
Strong intuition for incrementality, experimental design, and the distinction between correlation and causal lift
Exceptional ability to communicate complex quantitative concepts to non-technical stakeholders, including marketing leadership
Demonstrated experience influencing cross-functional teams through data and analytical storytelling
Ability to work collaboratively in a team environment and communicate analytical findings to non-technical partners
Ability to manage time and workload effectively with flexibility to shift priorities based on business need

Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future, this includes OPT. Belk will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa).

Pay Range
$95,000 - $125,000
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.

#LI-CM1
#IND3

Apply Now

Refine Your Search

entry level scientist jobs in charlotte, nc

Decision Scientist

Entry-Level Environmental Engineer/Geologist/Scientist

Technician Chem-Ops

Technician Laboratory - 2nd Shift

Research Technician

Field Scientist

Microbiology Analyst

Associate Epidemiologist

Entry Level Geologist/Hydrogeologist (Charlotte, NC)

Research Technician

Laboratory Technician I IRCAD - Per Diem

MLT or Medical Lab Scientist

Assoc Analytical Chemist

Client Services Tech 1

Laboratory Tech 6 (Met Eval)

Laboratory Technician

Inspection Technician

SEM Technician

Field Tech 1

Computational Biology Expert - AI Trainer

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