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Entry Level Data Scientist Machine Learning Jobs in Groton, CT

Orion Talent

Outside Machinist

Groton, CT · On-site

$23/hr

Description Marine Mechanic (Outside Machinist) - Entry Level & Semi-Skilled Job Responsibilities ... Interested in learning a new trade, but don't have any experience yet? Apply today! As long as you ...

Eurofins

Powder Characterization Scientist

Groton, CT · On-site

$35 - $44/hr

Proficient in learning new techniques, developing and carrying out experimental plans, and performing multiple tasks simultaneously * Experience in data handling and scientific/engineering ...

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Entry Level Data Scientist Machine Learning information

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$37.3K

$122K

$195.4K

How much do entry level data scientist machine learning jobs pay per year?

As of Aug 1, 2026, the average yearly pay for entry level data scientist machine learning in Groton, CT is $122,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,900.00 and $135,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist in Machine Learning, and why are they important?

To thrive as an Entry Level Data Scientist in Machine Learning, you need a solid background in statistics, programming (Python or R), and foundational machine learning concepts, typically supported by a relevant degree in computer science, data science, or a related field. Familiarity with tools and libraries such as scikit-learn, TensorFlow, Pandas, and SQL, as well as experience with data visualization platforms, is highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly set candidates apart. These skills are essential for effectively analyzing data, building predictive models, and translating complex results into actionable business insights.

What are entry level data scientist machine learning jobs?

Entry level data scientist machine learning jobs are positions for individuals who are new to the field of data science and machine learning. These roles typically focus on working with data, building and testing machine learning models, and supporting more experienced data scientists. Entry level professionals may clean and analyze data, implement basic algorithms, and help interpret results to inform business decisions. These jobs often require proficiency in programming languages like Python or R, foundational knowledge of statistics, and some experience with machine learning libraries.

What are some common challenges faced by entry-level data scientists working with machine learning models?

Entry-level data scientists often encounter challenges such as cleaning and preparing messy or incomplete datasets, selecting appropriate algorithms for specific problems, and tuning model parameters to achieve optimal performance. In addition, they may need to clearly communicate technical findings to non-technical stakeholders and collaborate closely with team members from engineering, product, and business departments. Gaining experience in version control, reproducibility, and model deployment are also important steps in mastering the end-to-end machine learning workflow.
What are popular job titles related to Entry Level Data Scientist Machine Learning jobs in Groton, CT? For Entry Level Data Scientist Machine Learning jobs in Groton, CT, the most frequently searched job titles are:
What cities near Groton, CT are hiring for Entry Level Data Scientist Machine Learning jobs? Cities near Groton, CT with the most Entry Level Data Scientist Machine Learning job openings:
Entry Level Data Scientist Machine Learning jobs near you
Infographic showing various Entry Level Data Scientist Machine Learning job openings in Groton, CT as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $122,047 per year, or $58.7 per hour.

Senior ML/AI Cheminformatics Scientist

Pfizer

Groton, CT

$93K - $156K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago

Pfizer rating

8.3

Company rating: 8.3 out of 10

Based on 124 frontline employees who took The Breakroom Quiz

23rd of 86 rated pharmaceutical

Job description

ROLE SUMMARY

As a Senior Cheminformatics Data Scientist within the Computational Absorption, Distribution, Metabolism, and Excretion (cADME) group in Pfizer's Pharmacokinetics, Dynamics, and Metabolism (PDM) organization, you will apply data-driven approaches to address critical challenges in small-molecule drug discovery.

In this role, you will develop, deploy, and continuously improve machine learning models for molecular property prediction and leverage Pfizer's proprietary chemical and biological datasets to inform decision-making across hit-to-lead and lead optimization stages. Your work will directly enable more efficient compound prioritization, improved prediction of ADME properties, and accelerated progression of discovery programs.

Success in this position will be defined by the delivery of robust, validated computational models and workflows that generate actionable insights and measurable impact on project outcomes. You will collaborate closely with cross-functional PDM partners and external collaborators to integrate AI-driven approaches into discovery workflows and maximize the value of Pfizer's industry-leading data assets.

KEY RESPONSIBILITIES

  • Develop and apply cheminformatics data-mining algorithms for the analysis of molecular modeling, virtual screening, and structure-activity relationship (SAR) analysis. Process and analyze chemical and biological datasets to evaluate properties such as drug-likeness, ADMET properties, dosing, etc.

  • Utilize molecular fingerprints, descriptors, and similarity metrics for compound clustering, classification, and regression.

  • Assist in development, maintenance, and monitoring of AI/ML models used for property prediction. Optimize data pipelines for processing and storing chemical structures using cheminformatics toolkits (e.g., RDKit, OpenEye,)

  • Collaborate with cross-functional teams to integrate computational approaches into curation and analysis workflows

  • Maintain best practices in data integrity, reproducibility, and documentation of QSAR AI/ML models

MINIMUM QUALIFICATIONS

  • PhD in a relevant field OR

  • Relevant Master's degree with 2+ years of experience in Cheminformatics, Computational Chemistry, Bioinformatics, Data Science, or a related field.

  • Proficiency in Python, with experience with cheminformatics libraries and topics (RDKit, OpenEye, DeepChem, InChI, SMILES/SMARTS).

  • Experience working in a structured collaborative data and software development environment (git).Experience using SAR model-building software such as SciKit-Learn, Torch, etc.

  • Strong understanding of basic statistical concepts and how to evaluate and track model performance.

PREFERRED QUALIFICATIONS

  • Experience using DAGs to define data pipelines, e.g., Luigi, Airflow, Dagster, Prefect, Kubeflow.)
  • Experience working with relational (SQL) and NoSQL databases for chemical data management.
  • Experience working with MLOps tools such as MLFlow, Neptune, or SageMaker.

PHYSICAL/MENTAL REQUIREMENTS

Ability to perform mathematical calculations and ability to perform complex data analysis

NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS

Some travel required

Relocation support available

WORK LOCATION ASSIGNMENT: This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week.

The annual base salary for this position ranges from $93,600.00 to $156,000.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 12.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.

Relocation assistance may be available based on business needs and/or eligibility.

Candidates must be authorized to be employed in the U.S. by any employer.

U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.

Sunshine Act

Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.

EEO & Employment Eligibility

Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.

Pfizer endeavors to makewww.pfizer.com/careersaccessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please emaildisabilityrecruitment@pfizer.com. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.

To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available onPfizer Careers.

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About Pfizer

Sourced by ZipRecruiter

All over the world, Pfizer colleagues work together to positively impact health for everyone, everywhere. Our colleagues have the opportunity to grow and develop a career that offers both individual and company success; be part of an ownership culture that values diversity and where all colleagues are energized and engaged; and the ability to impact the health and lives of millions of people. Pfizer, a global leader in the biopharmaceutical industry, is continuously seeking top talent who are inspired by our purpose to innovate to bring therapies to patients that significantly improve their lives. Our Health and Science System Specialists Team provides leadership across patient care settings in the complex Hospital, Health System, and Key Medical Group environment to bring value to our customers and patients in this dynamic ecosystem.

Industry

Pharmaceutical and medicine manufacturing

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1849

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