DATA SCIENTIST/MACHINE LEARNING (ML) ENGINEER - 74416
State of Tennessee 4.4
Data scientist job in Nashville, TN
Executive Service
DATASCIENTIST/MACHINE LEARNING (ML) ENGINEERFinance & AdministrationStrategic Technology SolutionsNashville, TNSalary: $11,353.00/monthly-$14,750.00/Monthly $136,236.00/yearly-$177,000.00/yearly Closing Date: 01/27/2026
is designed as Hybrid.
Background Check:
Requires CJIS/FTI Fingerprints and name-based checks. This position requires a criminal background check. Therefore, you may be required to provide information about your criminal history in order to be considered for this position.
Who we are and what we do:
The DataScientist leverages advanced analytics, machine learning, and AI techniques to solve complex business problems. This role involves translating business needs into data-driven solutions, performing exploratory analysis, and developing predictive and generative models. The ideal candidate combines strong technical expertise with business acumen and thrives in collaborative environments.
How you make a difference in this role:
See key responsibilities below.
Key Responsibilities:
Works closely with agencies and STSs functional, engineering, and technology teams to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
Conducts end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
Develop, validate, and deploy machine learning and AI models, including GenAI frameworks.
Conduct feature engineering and optimize algorithms for performance.
Communicate insights and recommendations through clear visualizations and presentations.
Collaborate with stakeholders, engineers, and MLOps teams to integrate solutions into production.
Research emerging technologies and contribute to internal innovation initiatives
Required Skills & Qualifications:
Proficiency in Python and data analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
Experience with GenAI frameworks and deep learning techniques such as retrieval augmented generation (RAG), AI agents, and model fine-tuning.
Experience with SQL and data manipulation (e.g., Snowflake, Redshift).
Strong understanding of statistical modeling, machine learning, and AI concepts.
Familiarity with AWS-based AI tools (Bedrock, Sagemaker). Ability to communicate technical concepts to non-technical audiences.
Minimum Qualifications:
Preferred Skills:
Knowledge of data visualization tools (Tableau, Power BI).
Familiarity with MLOps practices and version control (Git). Exposure to cloud-based data pipelines and streaming technologies.
Ability to write scripts to automate ETL tasks Actively participates and contributes in brain-storming session.
Can work seamlessly with people from other disciplines: IT engineers, Agency SMEs, business consultants
Education & Experience: Bachelors degree in a quantitative field (Computer Science, Statistics, Mathematics, Engineering). Masters degree preferred. 2+ years of experience in data science, analytics, or related roles.
Pursuant to the State of Tennessee's Workplace Discrimination and Harassment policy, the State is firmly committed to the principle of fair and equal employment opportunities for its citizens and strives to protect the rights and opportunities of all people to seek, obtain, and hold employment without being subjected to illegal discrimination and harassment in the workplace. It is the State's policy to provide an environment free of discrimination and harassment of an individual because of that person's race, color, national origin, age (40 and over), sex, pregnancy, religion, creed, disability, veteran's status or any other category protected by state and/or federal civil rights laws.
$41k-57k yearly est. 4d ago
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Statistician
IDR, Inc. 4.3
Data scientist job in Spring Hill, TN
IDR is seeking a Statistician to join one of our top clients for an opportunity in Spring Hill, Tennessee. This role involves supporting marketing analytics and modeling efforts within a data-driven environment focused on targeting and customer engagement. The team specializes in advanced statistical techniques and machine learning to enhance campaign effectiveness without the need for relocation or sponsorship.
Position Overview for the Statistician:
Design, build, and implement predictive models to identify the most profitable prospects across various business channels.
Perform model validation and back testing to ensure robustness and accuracy of predictive analytics.
Conduct data analysis to uncover trends, patterns, and insights that can optimize marketing and customer engagement strategies.
Utilize advanced statistical techniques and machine learning to develop response, premium, and risk models for targeted marketing efforts.
Collaborate cross-functionally with stakeholders to translate complex data into actionable business decisions and recommendations.
Requirements for the Statistician:
MS/PHD in Statistics, Mathematics, Data Science, Economics, or a related quantitative field (PHD preferred).
2+ years of professional experience in a hands-on statistical modeling or analytics role, ideally in marketing analytics or customer analytics.
Strong foundation in statistical methods with experience constructing predictive models end-to-end.
Experience working with messy, real-world datasets and explaining analytical results clearly.
Proficiency in SQL, SAS Programming, and familiarity with model deployment considerations such as monitoring and model refreshes.
What's in it for you?
Competitive compensation package
Full Benefits; Medical, Vision, Dental, and more!
Opportunity to get in with an industry leading organization.
Why IDR?
25+ Years of Proven Industry Experience in 4 major markets
Employee Stock Ownership Program
Dedicated Engagement Manager who is committed to you and your success.
Medical, Dental, Vision, and Life Insurance
ClearlyRated's Best of Staffing Client and Talent Award winner 12 years in a row.
$59k-77k yearly est. 1d ago
Data Scientist, Privacy
Datavant
Data scientist job in Nashville, TN
Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care.
By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare.
As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets.
**You Will:**
+ Critically analyze large health datasets using standard and bespoke software libraries
+ Discuss your findings and progress with internal and external stakeholders
+ Produce high quality reports which summarise your findings
+ Contribute to research activities as we explore novel and established sources of re-identification risk
**What You Will Bring to the Table:**
+ Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports
+ A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods
+ Seeks to understand real-world data in context rather than consider it in abstraction.
+ Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language
+ Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions
+ Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines
+ Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub's knowledge base
+ An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation
+ Familiarity with Amazon Web Services cloud-based storage and computing facilities
**Bonus Points If You Have:**
+ Experience creating documents using LATEX
+ Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images
+ Experience working with or supporting public sector organizations, such as federal agencies (e.g., CMS, NIH, VA, CDC), state health departments, or public health research partners. Familiarity with government data environments, procurement processes, or privacy frameworks in regulated settings is highly valued.
\#LI-BC1
We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.
At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services.
The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job.
The estimated total cash compensation range for this role is:
$104,000-$130,000 USD
To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion.
This job is not eligible for employment sponsorship.
Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay.
At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way.
Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis.
For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .
$104k-130k yearly 12d ago
Data Scientist, Analytics (Technical Leadership)
Meta 4.8
Data scientist job in Nashville, TN
We are seeking experienced DataScientists to join our team and drive impact across various product areas. As a DataScientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
**Required Skills:**
DataScientist, Analytics (Technical Leadership) Responsibilities:
1. Work with complex data sets to solve challenging problems using analytical and statistical approaches
2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies
3. Identify and measure success through goal setting, forecasting, and monitoring key metrics
4. Partner with cross-functional teams to inform and execute product strategy and investment decisions
5. Build long-term vision and strategy for programs and products
6. Collaborate with executives to define and develop data platforms and instrumentation
7. Effectively communicate insights and recommendations to stakeholders
8. Define success metrics, forecast changes, and set team goals
9. Support developing roadmaps and coordinate analytics efforts across teams
**Minimum Qualifications:**
Minimum Qualifications:
10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance
14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods
15. Experience communicating complex technical topics in a clear, precise, and actionable manner
**Preferred Qualifications:**
Preferred Qualifications:
16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy
17. Masters or Ph.D. Degree in a quantitative field
18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)
19. 10+ years of experience doing complex quantitative analysis in product analytics
**Public Compensation:**
$210,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
$210k-281k yearly 60d+ ago
Senior Data Scientist
Coinbase 4.2
Data scientist job in Nashville, TN
***************** is planning to bring a million developers and a billion users onchain. We need your help to make that happen. At Base, we live by ourhttps://x.com/jessepollak/status/***********32673997, where our team rises to the challenge, embraces hard weeks, and makes small to significant personal tradeoffs when necessary to drive impact and innovation.
Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company's bottom line.
*What you'll be doing:*
* Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team's decision making.
* Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations.
* Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs.
* Maintain a high bar for statistical rigor on your team. Ensure that we're conducting experimentation and causal analyses that build confidence with your stakeholders.
*What we look for in you:*
* A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience
* Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces.
* Ability to influence external stakeholders by synthesizing data learnings into compelling stories.
* Practical expertise in applying complex modeling frameworks to practical business problems.
* Professional experience using SQL and Python.
* Experience working with digital products in an iterative development cycle.
* Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process.
ID: G2462
*Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)).
Pay Range:
$180,370-$212,200 USD
Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.
Commitment to Equal Opportunity
Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations***********************************
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available ****************************************************************
AI Disclosure
For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description.
For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate.
*The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com.
At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future.
We are seeking an innovative and highly skilled **Senior DataScientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain.
The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data.
**_Responsibilities_**
+ **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges.
+ **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data.
+ **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components.
+ **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making.
+ **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications.
+ **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports).
+ **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments.
+ **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior datascientists.
+ **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage.
+ **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns.
**_Qualifications_**
+ 8-12 years of experience as a DataScientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred
+ Bachelor's degree in related field, or equivalent work experience, preferred
+ Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications.
+ Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5).
+ Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use.
+ Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis.
+ Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components.
+ Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
+ Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex).
+ Strong understanding of machine learning fundamentals, statistical modeling, and experimental design.
+ Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models.
+ Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions.
+ Strong communication and presentation skills, capable of explaining comp
+ Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred
+ Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred
+ Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred
+ Experience contributing to open-source AI projects, highly preferred
**_What is expected of you and others at this level_**
+ Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects
+ Participates in the development of policies and procedures to achieve specific goals
+ Recommends new practices, processes, metrics, or models
+ Works on or may lead complex projects of large scope
+ Projects may have significant and long-term impact
+ Provides solutions which may set precedent
+ Independently determines method for completion of new projects
+ Receives guidance on overall project objectives
+ Acts as a mentor to less experienced colleagues
**Anticipated salary range:** $123,400 - $176,300
**Bonus eligible:** Yes
**Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
+ Medical, dental and vision coverage
+ Paid time off plan
+ Health savings account (HSA)
+ 401k savings plan
+ Access to wages before pay day with my FlexPay
+ Flexible spending accounts (FSAs)
+ Short- and long-term disability coverage
+ Work-Life resources
+ Paid parental leave
+ Healthy lifestyle programs
**Application window anticipated to close:** 02/15/2026 *if interested in opportunity, please submit application as soon as possible.
The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity.
\#LI-Remote
_Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._
_Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._
_To read and review this privacy notice click_ here (***************************************************************************************************************************
$123.4k-176.3k yearly 33d ago
AWS Data Migration Consultant
Slalom 4.6
Data scientist job in Nashville, TN
Candidates can live within commutable distance to any Slalom office in the US. We have a hybrid and flexible environment. Who You'll Work With As a modern technology company, we've never met a technical challenge we didn't like. We enable our clients to learn from their data, create incredible digital experiences, and make the most of new technologies. We blend design, engineering, and analytics expertise to build the future. We surround our technologists with interesting challenges, innovative minds, and emerging technologies.
We are seeking an experienced Cloud Data Migration Architect with deep expertise in SQL Server, Oracle, DB2, or a combination of these platforms, to lead the design, migration, and optimization of scalable database solutions in the AWS cloud. This role will focus on modernizing on-premises database systems by architecting high-performance, secure, and reliable AWS-hosted solutions.
As a key technical leader, you will work closely with data engineers, cloud architects, and business stakeholders to define data strategies, lead complex database migrations, build out ETL pipelines, and optimize performance across legacy and cloud-native environments.
What You'll Do
* Design and optimize database solutions on AWS, including Amazon RDS, EC2-hosted instances, and advanced configurations like SQL Server Always On or Oracle RAC (Real Application Clusters).
* Lead and execute cloud database migrations using AWS Database Migration Service (DMS), Schema Conversion Tool (SCT), and custom automation tools.
* Architect high-performance database schemas, indexing strategies, partitioning models, and query optimization techniques.
* Optimize complex SQL queries, stored procedures, functions, and views to ensure performance and scalability in the cloud.
* Implement high-availability and disaster recovery (HA/DR) strategies including Always-On, Failover Clusters, Log Shipping, and Replication, tailored to each RDBMS.
* Ensure security best practices are followed including IAM-based access control, encryption, and compliance with industry standards.
* Collaborate with DevOps teams to implement Infrastructure-as-Code (IaC) using tools like Terraform, CloudFormation, or AWS CDK.
* Monitor performance using tools such as AWS CloudWatch, Performance Insights, Query Store, Dynamic Management Views (DMVs), or Oracle-native tools.
* Work with software engineers and data teams to integrate cloud databases into enterprise applications and analytics platforms.
What You'll Bring
* 5+ years of experience in database architecture, design, and administration with at least one of the following: SQL Server, Oracle, or DB2.
* Expertise in one or more of the following RDBMS platforms: Microsoft SQL Server, Oracle, DB2.
* Hands-on experience with AWS database services (RDS, EC2-hosted databases).
* Strong understanding of HA/DR solutions and cloud database design patterns.
* Experience with ETL development and data integration, using tools such as SSIS, AWS Glue, or custom solutions.
* Familiarity with AWS networking components (VPCs, security groups) and hybrid cloud connectivity.
* Strong troubleshooting and analytical skills to resolve complex database and performance issues.
* Ability to work independently and lead database modernization initiatives in collaboration with engineering and client stakeholders.
Nice to Have
* AWS certifications such as AWS Certified Database - Specialty or AWS Certified Solutions Architect - Professional.
* Experience with NoSQL databases or hybrid data architectures.
* Knowledge of analytics and big data tools (e.g., Snowflake, Redshift, Athena, Power BI, Tableau).
* Familiarity with containerization (Docker, Kubernetes) and serverless technologies (AWS Lambda, Fargate).
* Experience with DB2 on-premise or cloud-hosted environments.
About Us
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.
Compensation and Benefits
Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.
Slalom is committed to fair and equitable compensation practices. For this position, the target base salary pay range in the following locations:
Boston, Houston, Los Angeles, Orange County, Seattle, San Diego, Washington DC, New York, New Jersey, for Consultant level is $105,000-147,000 and for Senior Consultant level it is $120,000-$169,000 and for Principal level it is $133,000-$187,000.
In all other markets, the target base salary pay range for Consultant level is $96,000-$135,000 and for Senior Consultant level it is $110,000-$155,000 and for Principal level it is $122,000-$172,000.
In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
EEO and Accommodations
Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.
We will accept applications until 1/31/2026 or until the positions are filled.
$133k-187k yearly 1d ago
Senior Data Consultant
Arctiq
Data scientist job in Nashville, TN
We are looking for a Senior Data Consultant to join our Delivery organization. In this role, we are looking for someone with strong communication skills, a results-oriented mindset, and a passion for presenting and teaching. The ideal candidate will play a key role in designing, developing, and implementing data solutions for our clients. As a Senior Data Consultant, you will collaborate with cross-functional teams, analyze data requirements, and provide innovative solutions to address complex business challenges. This role requires a deep understanding of cloud architecture, ETL/ELT processes, and proficiency in various data technologies. Embrace a culture of continuous learning and tech experimentation as we navigate the forefront of emerging technologies.
Role Responsibilities
Directly supporting the Data Services Practice, you will be responsible for the core delivery of professional services engagements with our customers. Specifically, you will be responsible for identifying requirements, developing solution architectures, either directly or overseeing the technical delivery of solutions, and providing post-deployment enablement. You will be required to follow industry standards, delivering top-tier solutions to our valued customers.
Assess, recommend, and implement DevOps technology solutions in alignment with client business requirements, ensuring a strategic fit and optimal functionality.
Lead clients towards industry best practices in cloud adoption and innovative business engagements, fostering a transformative approach to technology solutions.
Develop innovative solutions, architectures, proof of concepts, demo/lab environments, and compelling business cases. Showcase the benefits of digital transformation programs and the adoption of cutting-edge solutions.
Work closely with the Project Management Office (PMO) to provide visibility into project delivery scope, timelines, and expectations. Ensure the delivery of high-quality projects on time and within budget.
Collaborate with Partner and Marketing teams to develop content, including sales collateral, blog posts, podcasts, and live workshops. Present at company and partner events, contributing to thought leadership in the industry.
Provide mentorship and coaching to junior team members, fostering professional development. Actively participate in professional associations, industry events, and community engagements, contributing intellectual property (IP) development.
Keep abreast of industry trends and technology developments by maintaining partner certifications and actively participating in technology events.
Cloud Engineering and Architecture:
Deep understanding of cloud technologies
Ability to deploy cloud infrastructure at scale using leading infrastructure as code platforms
Information Gathering:
Collaborate with clients to understand their data needs and platform requirements
Gather information via client interviews and review of client documentation
Architecture Design:
Design scalable and efficient data architecture based on business requirements and industry leading approaches
Develop and maintain conceptual, logical, and physical solution models
Data Integration:
Implement data integration solutions to enable seamless flow of information across various systems
Work with APIs, web services, and other integration tools to connect disparate data sources
ETL/ELT Development:
Design, develop, and optimize ETL processes to extract, transform, and load data from diverse sources into data warehouses or data lakes
Ensure data quality and integrity throughout the ETL pipeline
Database Management:
Manage and optimize databases for performance, scalability, and reliability
Implement best practices for data storage, indexing, and query optimization
Data Security and Compliance:
Implement and enforce data security measures to protect sensitive information
Ensure compliance with relevant data regulations and standards
Collaboration and Communication:
Collaborate with cross-functional teams, including datascientists, analysts, and business stakeholders
Communicate complex technical concepts to non-technical stakeholders in a clear and understandable manner
What will you bring to the role?
Bilingual French & English is an asset.
Bachelor's or Master's degree in computer engineering / science, data engineering / science, or a related field.
Demonstrated and applied experience in establishing and delivering complex projects, showcasing a track record of successful implementations.
Proven experience as a Data Engineer or in a similar role.
Skilled at coding and scripting languages, including but not limited to Python, SQL, YML, Terraform.
Experience with cloud solution implementation, data integration, ETL development, and database management.
Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and their data services (e.g., Databricks, BigQuery, etc.).
Familiarity with Big Data technologies such as Hadoop, Spark, and Kafka, and related tools.
Proficient use of SCM tools such as Git, GitHub, and GitLab for efficient version control and collaborative development.
Experience with automation and configuration management solutions, utilizing tools like Ansible, Terraform, Octopus Deploy, AWS Config, and Azure Automation & Control.
Desired Certifications:
While not required, the following certifications demonstrate valuable knowledge and may strengthen your application:
Google Professional Data Engineer
Databricks Certified Data Engineer Professional
Data Engineering on Microsoft Azure
Public Cloud Professional Certifications (Azure, AWS, GCP)
We also recognize the value of general data, AI, and ML certifications. Don't have these certifications yet? No problem! We're committed to investing in promising talent and providing on-the-job training for motivated individuals.
If you are passionate about data and advanced analytics, thrive in a dynamic environment, and are eager to contribute to innovative solutions, we encourage you to apply for this exciting opportunity.
Arctiq is an equal opportunity employer. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know. We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives to apply.
We thank you for your interest in joining the Arctiq team! While we welcome all applicants, only those who are selected for an interview will be contacted.
$64k-87k yearly est. 60d+ ago
211018 / Consultant - Data Migration
Procom Services
Data scientist job in Nashville, TN
Procom is a leading provider of professional IT services and staffing to businesses and governments in Canada. With revenues over $500 million, the Branham Group has recognized Procom as the 3rd largest professional services firm in Canada and is now the largest “Canadian-Owned” IT staffing/consulting company.
Procom's areas of staffing expertise include:
• Application Development
• Project Management
• Quality Assurance
• Business/Systems Analysis
• Datawarehouse & Business Intelligence
• Infrastructure & Network Services
• Risk Management & Compliance
• Business Continuity & Disaster Recovery
• Security & Privacy
Specialties• Contract Staffing (Staff Augmentation)
• Permanent Placement (Staff Augmentation)
• ICAP (Contractor Payroll)
• Flextrack (Vendor Management System)
Job Description
Assess and execute a migration from Connect Enterprise to Sterling File Gateway
Qualifications
Experience with Sterling Commerce application migrations
Well developed analytical skills and written communications skills.
Must have very good written and verbal communications skills
Must have very good written and verbal communications skills.
Required skills/experience for this role includes:
Sterling Commerce product migration experience (5 years minimum)
Sterling File Gateway experience (5 years minimum)
Connect Direct product experience (5 years minimum)
Sterling Enterprise experience (5 years minimum)
Scripting language experience (Perl, Unix shell scripting, and Widows scripting) (5 years minimum)
DOS batch scripting (5 years minimum)
System analysis experience (5 years minimum)
Additional Information
PLEASE NOTE THAT WE ARE NOT ABLE TO WORK WITH CANDIDATES ON H1B VISAS OR CANDIDATES REPRESENTED BY THIRD PARTIES.
$64k-87k yearly est. 15h ago
Data Streaming Consultant (Big Data)
Ventures Unlimited
Data scientist job in Nashville, TN
Title : Data Streaming Consultant (Big Data)
Duration: Full Time
Job Description :
Mandatory Skills
Hadoop, Java, Spark (or Storm or Kafka)
Desirable skills
Data warehousing, SQL
Detailed JD :
• Take sprint activities related to real-time streaming requirement (Spark Streaming), Big Data technologies, platform and workflow orchestration etc.
• Perform quick PoCs
• Train other team members on big data and real-time technologies.
Skills:
- Experience working Hadoop, NoSQL
- Spark, Storm or other streaming/real-time technologies
- Java
- Preferred: SQL, Data Warehousing
Qualifications
Big Data, Java, Spark
Additional Information
Interested candidates please contact me on "************" Ext 157
$64k-87k yearly est. 60d+ ago
Data Onboarding Consultant
Corpay
Data scientist job in Brentwood, TN
What We Need Corpay is currently looking to hire a Data Onboarding Consultant within our Implementations division. This position falls under our Corporate Payments line of business based out of our Brentwood, TN location. In this role, you will manage critical data activities for Corpay's clients to ensure successful implementation and ongoing client success. This position combines client-facing and internal technical responsibilities. The ideal candidate is one that enjoys working with clients to assist them in navigating complex data landscapes, is analytical in nature allowing them to understand non-uniform data sets from various sources, can drive project success by creating deadlines and holding both internal and external parties accountable to performance, and can balance competing priorities to ensure ultimate success. The ideal candidate is a problem solver, a great communicator, and most importantly takes ownership of their projects and drives them to success. You will report directly to the Manager of Technical Implementations.
How We Work
As a Data Onboarding Consultant you will be expected to work out of our Brentwood, TN office location. Corpay will set you up for success by providing:
Company-issued equipment
Assigned workspace in our Brentwood office
Formal, hands-on training
Role Responsibilities
The responsibilities of the role will include:
This is a customer-facing role that will serve as the primary point of client contact for all data services from the sales process through implementation
Work with clients and internal partners to obtain and validate data to be used in data services
Analyze client data and present findings to improve the results of the data being ingested
Utilize data cleaning and mapping tools to ingest data into the application
Coordinate the scoping, prioritization, delivery, and, where applicable, ongoing maintenance of client data services (one-time data import, ongoing data integrations)
First line of defense for triaging issues related to data imports/data integrations
Work with clients and internal stakeholders to maintain a prioritized queue of data services deliverables
Contribute to the overall strategy for Implementations
Qualifications & Skills
2 - 5 years' experience in managing or working with data (training/education counts)
Comfortable communicating complex information in simple terms
Experience managing projects
Experience working with large, non-uniform, data sets
Experience working directly with clients and prospects to assess needs and define technical solutions
Experience with data mapping and BI tools
While this is not an engineering role, familiarity with engineering tools and practices will be greatly beneficial
Benefits & Perks
Medical, Dental & Vision benefits available the 1st month after hire
Automatic enrollment into our 401k plan (subject to eligibility requirements)
Virtual fitness classes offered company-wide
Robust PTO offers including major holidays, vacation, sick, personal, & volunteer time
Employee discounts with major providers (i.e. wireless, gym, car rental, etc.)
Philanthropic support with both local and national organizations
Fun culture with company-wide contests and prizes
Equal Opportunity/Affirmative Action Employer
Corpay is an Equal Opportunity Employer. Corpay provides equal employment opportunities to all qualified applicants without regard to race, color, gender (including pregnancy), religion, national origin, ancestry, disability, age, sexual orientation, gender identity or expression, marital status, language, ancestry, genetic information and/or military status or any other group status protected by federal or local law. If you require reasonable accommodation for the application and/or interview process, please notify a representative of the Human Resources Department. For more information about our commitment to equal employment opportunity and pay transparency, please click the following links: EEOC and Pay Transparency.
$64k-87k yearly est. 6d ago
Data Analytics Intern: Summer 2026
Mp&F Strategic Communications 3.5
Data scientist job in Nashville, TN
MP&F Strategic Communications is seeking interns who are college juniors, seniors, graduate students or recent graduates to take on a variety of projects including advertising and marketing campaign analysis, dashboard construction, data visualization, and report building while being assigned to specific client teams. Students applying for a summer internship must be able to dedicate 40 hours a week. Our intern positions are in-person in our downtown Nashville office. We do not have remote internship opportunities.
Application Deadlines:
January 30, 2026 (Summer)
Internship Dates:
May 26, 2026 - July 31, 2026
Benefits and Perks:
Competitive pay
Paid downtown parking
Company-issued laptop
A Google Partner team
Community give-back with our company pro bono program
Professional development and mentoring programs
Free snack bar
Employee-driven culture has made us an 12x Top Workplace winner
Qualifications
MP&F Strategic Communications is an internationally recognized, full-service integrated marketing, advertising and communications firm based in Nashville, Tenn. Our clients work in a variety of industries -- including health care, hospitality and higher education. We were established in 1987 as a one-person consultancy and today are a team of 80-plus strategists and specialists from myriad professional backgrounds and walks of life. When you join MP&F, you are joining a culture of excellence, hard work and success.
$31k-43k yearly est. 7d ago
Data Platform Engineer
Monogram Health Inc. 3.7
Data scientist job in Brentwood, TN
Job DescriptionPosition:
Data Platform Engineer
The Data Engineering team is seeking a highly skilled and experienced Data Platform Engineer with expertise in Data Engineering, Database Modeling, and modern Cloud Data Platforms. The Data Platform Engineer designs, builds, and maintains scalable and secure data infrastructure, tools, and pipelines to support data analytics, machine learning, and business intelligence initiatives. They will also work closely with other teams, such as data analysts, datascientists, and software developers, to provide them with the data they need to perform their job functions.
Responsibilities
Design and implement robust, scalable, and efficient data models and pipelines across cloud-based platforms.
Develop, optimize, and maintain ETL/ELT pipelines using Azure Data Factory and Databricks.
Build and orchestrate Databricks Notebooks and Jobs using PySpark, Spark SQL, or Scala Spark.
Develop and manage data models, data warehousing solutions, and data integration architectures in Azure.
Implement Azure Functions, Azure WebApps, and Application Insights to support microservices and monitor distributed systems.
Configure and manage Databricks clusters, including autoscaling, Photon acceleration, and job orchestration.
Collaborate with cross-functional teams to support data-driven decision-making and analytics use cases.
Ensure data quality, governance, and security across the data lifecycle.
Collaborate with product managers by estimating technical tasks and deliverables.
Uphold the mission and values of Monogram Health in all aspects of your role and activities.
Position Requirements
A bachelor's degree in computer science, data science, software engineering or related field.
Minimum of five (5) years in designing and hands-on development in cloud-based analytics solutions, which includes a minimum of three (3) years' hands on work with big data frameworks and tools, such as Apache Kafka and Spark.
Expert level knowledge of Python or other scripting languages required.
Proficiency in SQL and other data query languages.
Understanding of data modeling and schema design principles
Ability to work with large datasets and perform data analysis
Designing and building data integration pipelines using API's and Streaming ingestion methods is desirable.
Familiarity with DevOps practices, including automation, CI/CD, and infrastructure as code (IaC).
Thorough understanding of Azure Cloud Infrastructure offerings.
Demonstrated problem-solving and troubleshooting skills.
Team player with demonstrated written and communication skills.
Benefits
Comprehensive Benefits - Medical, dental, and vision insurance, employee assistance program, employer-paid and voluntary life insurance, disability insurance, plus health and flexible spending accounts
Financial & Retirement Support - Competitive compensation, 401k with employer match, and financial wellness resources
Time Off & Leave - Paid holidays, flexible vacation time/PSSL, and paid parental leave
Wellness & Growth - Work life assistance resources, physical wellness perks, mental health support, employee referral program, and BenefitHub for employee discounts
Monogram Health is a leading multispecialty provider of in-home, evidence-based care for the most complex of patients who have multiple chronic conditions. Monogram health takes a comprehensive and personalized approach to a person's health, treating not only a disease, but all of the chronic conditions that are present - such as diabetes, hypertension, chronic kidney disease, heart failure, depression, COPD, and other metabolic disorders.
Monogram Health employs a robust clinical team, leveraging specialists across multiple disciplines including nephrology, cardiology, endocrinology, pulmonology, behavioral health, and palliative care to diagnose and treat health issues; review and prescribe medication; provide guidance, education, and counselling on a patient's healthcare options; as well as assist with daily needs such as access to food, eating healthy, transportation, financial assistance, and more. Monogram Health is available 24 hours a day, 7 days a week, and on holidays, to support and treat patients in their home.
Monogram Health's personalized and innovative treatment model is proven to dramatically improve patient outcomes and quality of life while reducing medical costs across the health care continuum.
$75k-103k yearly est. 28d ago
Azure Data Engineer
NTT Data North America 4.7
Data scientist job in Nashville, TN
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Azure Data Engineer to join our team in Nashville, Tennessee (US-TN), United States (US).
**Job Description:**
**Key Responsibilities:**
+ Data Engineering: Utilize your expertise in Azure data services (Azure functions, Azure Data Factory, Azure Infrastructure, API based extraction) to build and maintain robust data solutions using SQL/PLSQL (Oracle), Python, and Power BI with strong knowledge of the SDLC are required. Build and manage dozens of data pipelines to source and transform data based on business requirements. Java experience is preferred, but not required.
+ Financial Data Analysis: Apply your knowledge in financial data analysis, risk, and compliance data management to support our financial services customers.
+ Innovation and Learning: Quickly learn new technologies by applying your current skills, staying ahead of industry trends and advancements. Self-identify the need for new skills to be developed and adopt new technologies into your skill set in a month's time.
+ Client Collaboration: Work closely with financial services clients to build modern data solutions that transform how they leverage data for key business decisions, investment portfolio performance analysis, and risk and compliance management. Manage multiple stakeholder groups and their requirements.
+ Team Collaboration: Collaborate within a Pod of 4+ data engineers, working towards common objectives in a consultative fashion with clients.
+ Data Movement and Transformation: Use Azure Data Factory and SQL (PL/SQL as well) for data movement, streaming, and transformation services, ensuring efficient and reliable data workflows.
+ Industry Leadership: Work with a client that is leading the industry in using data to drive business decision optimization and investment management strategies.
**Requirements:**
+ Experience: 4-7 years of experience in data engineering.
+ Technical Skills: Proficiency Azure data services (Azure functions, Azure Data Factory, Azure Infrastructure, API based extraction). Proficiency in the following areas:
+ Data Warehousing: Strong knowledge of data warehousing concepts.
+ Python: Advanced skills in Python programming for data engineering and data pipelines.
+ Data Integration: Proficiency in integrating data from various sources using API and file-based extraction.
+ Data Platforms: Strong knowledge of relational databases and data warehouse/data lakes.
+ Data Security: Expertise in securing data in transit and in rest.
+ Data Pipelines: Experience in building and managing data pipelines using Azure Data Factory.
+ Azure: Experience Azure data services such as Azure Data Factory, Azure Functions, Azure Data Lake storage.
+ GitHub: Proficiency in using GitHub for version control.
+ Java: Adequate level experience in Java
+ Power BI: Adequate level experience in Power BI
+ Domain Expertise: Nice to have experience in financial data analysis, risk, and compliance data management.
+ Learning Agility: Ability to quickly learn new technologies by applying current skills.
+ Adaptability: Ability to adapt to new technologies quickly and efficiently.
About NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
NTT DATA endeavors to make ********************** accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at **********************/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
$69k-89k yearly est. 60d+ ago
Data Scientist, Product Analytics
Meta 4.8
Data scientist job in Nashville, TN
As a DataScientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
DataScientist, Product Analytics Responsibilities:
1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
**Minimum Qualifications:**
Minimum Qualifications:
6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
8. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.)
9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]
**Preferred Qualifications:**
Preferred Qualifications:
10. Master's or Ph.D. Degree in a quantitative field
**Public Compensation:**
$147,000/year to $208,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
$147k-208k yearly 60d+ ago
Staff Actuary
Health Care Service Corporation 4.1
Data scientist job in Nashville, TN
At CareAllies, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers. The Staff Actuary uses statistics, financial theory, mathematics, and basic financial and actuarial principles to assess the impact of company decisions or situations. They have an in-depth knowledge of at least one market or business segment and operate with a high level of autonomy for daily purposes of pricing, underwriting, statistics, reserving, forecasting and other actuarial functions. This position can communicate complicated concepts, information, and recommendations regarding process, data, analysis, and results, while catering information to different audiences as needed. As necessary, position manages small projects with limited interaction outside Actuarial department.
**Required Job Qualifications:**
* Bachelor degree in Actuarial Science, Mathematics, Statistics or Economics. Other Bachelor (or higher) Degrees may be considered.
* Associate of the Society of Actuaries (ASA) and Membership in the American Academy of Actuaries (MAAA).
* At least 3 years of actuarial experience.
* Verbal and written communications skills to prepare effective documentation, facilitate training and development, and participate in presentations.
* PC proficiency to include Word and Excel.
**Preferred Job Qualifications:**
* Access, SQL, Visual Basic or other programming skills.
* Actuarial experience in the health insurance or related field
* Pharmacy or Medicare experience is a plus
Please note that this role is **HYBRID** with an in-office requirement of 3 days a week.
\#LI-LK1
\#LI-Hybrid
\#INJLF
**EEO Statement:**
We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics.
**Pay Transparency Statement:**
At CareAllies, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, a minimum of 15 days' of paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for full-time employees.
The salary offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plan subject to the terms and the conditions of the plan.
**Min to Max Range:**
$82,700.00 - $149,300.00
Exact compensation may vary based on skills, experience, and location.
$82.7k-149.3k yearly 37d ago
Senior Data Scientist
Cardinal Health 4.4
Data scientist job in Nashville, TN
**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling.
Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems.
At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience.
We are seeking a highly motivated and experienced Senior DataScientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change.
**_Responsibilities_**
+ Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies.
+ Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications.
+ Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction.
+ Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs.
+ Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions.
+ Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives.
+ Guide and mentor a team of DataScientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed datascientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth.
+ Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care.
**_Qualifications_**
+ 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred
+ Bachelor's degree in related field, or equivalent work experience, preferred
+ GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth
+ Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model.
+ Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred.
+ Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred.
+ Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred.
+ Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred.
+ Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred.
+ Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred.
+ Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred.
+ Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred.
+ Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred.
+ Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred.
+ Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred.
**_What is expected of you and others at this level_**
+ Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects
+ Participates in the development of policies and procedures to achieve specific goals
+ Recommends new practices, processes, metrics, or models
+ Works on or may lead complex projects of large scope
+ Projects may have significant and long-term impact
+ Provides solutions which may set precedent
+ Independently determines method for completion of new projects
+ Receives guidance on overall project objectives
+ Acts as a mentor to less experienced colleagues
**Anticipated salary range:** $121,600 - $173,700
**Bonus eligible:** Yes
**Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
+ Medical, dental and vision coverage
+ Paid time off plan
+ Health savings account (HSA)
+ 401k savings plan
+ Access to wages before pay day with my FlexPay
+ Flexible spending accounts (FSAs)
+ Short- and long-term disability coverage
+ Work-Life resources
+ Paid parental leave
+ Healthy lifestyle programs
**Application window anticipated to close:** 11/05/2025
*if interested in opportunity, please submit application as soon as possible.
The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity.
_Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._
_Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._
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$121.6k-173.7k yearly 60d+ ago
211018 / Consultant - Data Migration
Procom Services
Data scientist job in Nashville, TN
Procom is a leading provider of professional IT services and staffing to businesses and governments in Canada. With revenues over $500 million, the Branham Group has recognized Procom as the 3rd largest professional services firm in Canada and is now the largest “Canadian-Owned” IT staffing/consulting company.
Procom's areas of staffing expertise include:
• Application Development
• Project Management
• Quality Assurance
• Business/Systems Analysis
• Datawarehouse & Business Intelligence
• Infrastructure & Network Services
• Risk Management & Compliance
• Business Continuity & Disaster Recovery
• Security & Privacy
Specialties• Contract Staffing (Staff Augmentation)
• Permanent Placement (Staff Augmentation)
• ICAP (Contractor Payroll)
• Flextrack (Vendor Management System)
Job Description
Assess and execute a migration from Connect Enterprise to Sterling File Gateway
Qualifications
Experience with Sterling Commerce application migrations
Well developed analytical skills and written communications skills.
Must have very good written and verbal communications skills
Must have very good written and verbal communications skills.
Required skills/experience for this role includes:
Sterling Commerce product migration experience (5 years minimum)
Sterling File Gateway experience (5 years minimum)
Connect Direct product experience (5 years minimum)
Sterling Enterprise experience (5 years minimum)
Scripting language experience (Perl, Unix shell scripting, and Widows scripting) (5 years minimum)
DOS batch scripting (5 years minimum)
System analysis experience (5 years minimum)
Additional InformationPLEASE NOTE THAT WE ARE NOT ABLE TO WORK WITH CANDIDATES ON H1B VISAS OR CANDIDATES REPRESENTED BY THIRD PARTIES.
$64k-87k yearly est. 60d+ ago
Data Platform Engineer
Monogram Health 3.7
Data scientist job in Brentwood, TN
Data Platform Engineer
The Data Engineering team is seeking a highly skilled and experienced Data Platform Engineer with expertise in Data Engineering, Database Modeling, and modern Cloud Data Platforms. The Data Platform Engineer designs, builds, and maintains scalable and secure data infrastructure, tools, and pipelines to support data analytics, machine learning, and business intelligence initiatives. They will also work closely with other teams, such as data analysts, datascientists, and software developers, to provide them with the data they need to perform their job functions.
Responsibilities
Design and implement robust, scalable, and efficient data models and pipelines across cloud-based platforms.
Develop, optimize, and maintain ETL/ELT pipelines using Azure Data Factory and Databricks.
Build and orchestrate Databricks Notebooks and Jobs using PySpark, Spark SQL, or Scala Spark.
Develop and manage data models, data warehousing solutions, and data integration architectures in Azure.
Implement Azure Functions, Azure WebApps, and Application Insights to support microservices and monitor distributed systems.
Configure and manage Databricks clusters, including autoscaling, Photon acceleration, and job orchestration.
Collaborate with cross-functional teams to support data-driven decision-making and analytics use cases.
Ensure data quality, governance, and security across the data lifecycle.
Collaborate with product managers by estimating technical tasks and deliverables.
Uphold the mission and values of Monogram Health in all aspects of your role and activities.
Position Requirements
A bachelor's degree in computer science, data science, software engineering or related field.
Minimum of five (5) years in designing and hands-on development in cloud-based analytics solutions, which includes a minimum of three (3) years' hands on work with big data frameworks and tools, such as Apache Kafka and Spark.
Expert level knowledge of Python or other scripting languages required.
Proficiency in SQL and other data query languages.
Understanding of data modeling and schema design principles
Ability to work with large datasets and perform data analysis
Designing and building data integration pipelines using API's and Streaming ingestion methods is desirable.
Familiarity with DevOps practices, including automation, CI/CD, and infrastructure as code (IaC).
Thorough understanding of Azure Cloud Infrastructure offerings.
Demonstrated problem-solving and troubleshooting skills.
Team player with demonstrated written and communication skills.
Benefits
Comprehensive Benefits - Medical, dental, and vision insurance, employee assistance program, employer-paid and voluntary life insurance, disability insurance, plus health and flexible spending accounts
Financial & Retirement Support - Competitive compensation, 401k with employer match, and financial wellness resources
Time Off & Leave - Paid holidays, flexible vacation time/PSSL, and paid parental leave
Wellness & Growth - Work life assistance resources, physical wellness perks, mental health support, employee referral program, and BenefitHub for employee discounts
Monogram Health is a leading multispecialty provider of in-home, evidence-based care for the most complex of patients who have multiple chronic conditions. Monogram health takes a comprehensive and personalized approach to a person's health, treating not only a disease, but all of the chronic conditions that are present - such as diabetes, hypertension, chronic kidney disease, heart failure, depression, COPD, and other metabolic disorders.
Monogram Health employs a robust clinical team, leveraging specialists across multiple disciplines including nephrology, cardiology, endocrinology, pulmonology, behavioral health, and palliative care to diagnose and treat health issues; review and prescribe medication; provide guidance, education, and counselling on a patient's healthcare options; as well as assist with daily needs such as access to food, eating healthy, transportation, financial assistance, and more. Monogram Health is available 24 hours a day, 7 days a week, and on holidays, to support and treat patients in their home.
Monogram Health's personalized and innovative treatment model is proven to dramatically improve patient outcomes and quality of life while reducing medical costs across the health care continuum.
How much does a data scientist earn in Nashville, TN?
The average data scientist in Nashville, TN earns between $59,000 and $108,000 annually. This compares to the national average data scientist range of $75,000 to $148,000.
Average data scientist salary in Nashville, TN
$80,000
What are the biggest employers of Data Scientists in Nashville, TN?
The biggest employers of Data Scientists in Nashville, TN are: