virtual pharmaceutical sales specialist

medical sales advisor

regional sales manager - pharmaceutical sales Jobs in Tampa

sleep sales representative

sr. pharmaceutical sales specialist, advanced specialty team attr-tampa, fl Jobs in Tampa

pharmaceutical sales representative

LTM Limited

<div><b>Role description</b><p><b><br>
Job Title : Pyspark Developer</b></p>
<p><b>
Job Role : Tampa,Florida</b></p>
<p><b>
Job description :</b></p>
<p>
Design develop and maintain data pipelines using PySpark for largescale data processing</p>
<p></p>
<p>Perform data transformations aggregations and validations using Spark SQL DataFrames</p>
<p>
Write and optimize SQL queries for data extraction reconciliation and reporting</p>
<p>
Perform data quality checks profiling and consistency validations</p>
<p>
Support existing data pipelines by troubleshooting failures and performing root cause analysis</p>
<p>
Work closely with data engineers analysts QA and DevOps teams in Agile delivery models</p>
<p>
Optimize performance of Spark jobs for efficiency and scalability</p>
<p>
Maintain technical documentation workflows and runbooks</p>
<p>
Follow enterprise standards for coding deployment and change management 712 years of experience in Big Data Data Engineering roles</p>
<p>
Strong handson experience with PySpark Apache Spark</p>
<p>
Solid understanding of SQL and relational database concepts</p>
<p>
Experience working in LinuxUNIX environments</p>
<p>
Understanding of ETL concepts and largescale data processing</p>
<p>
Strong analytical and debugging skills</p>
<p>
Experience supporting production data pipelines Exposure to Azure Databricks ADF Synapse or similar cloud data platforms</p>
<p>
Experience with Hadoop ecosystem Hive HDFS</p>
<p>
Knowledge of orchestration tools eg Airflow</p>
<p>
Python scripting beyond Spark use cases</p>
<p>
Familiarity with Agile DevOps delivery practices</p>
<p>
Domain exposure eg Banking BFSI Analytics is an advantage Strong problemsolving and ownership mindset</p>
<p>
Ability to work collaboratively in crossfunctional teams</p>
<p>
Good communication and documentation skills</p>
<p>
Ability to adapt quickly in dynamic project environments</p><b><br>
Skills</b><p><b><br>
Mandatory Skills : </b>Apache Spark, Big Data Hadoop Ecosystem, PySpark-Data Science, Scala<br>
<b>Good to Have Skills : </b>SparkSQL</p><b><br>
Other details</b><p><br>
Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.</p>
<p>
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (&ldquo;LTIM&rdquo;):</p>
<p>
Benefits and Perks:</p>
<ul>
<li>Comprehensive Medical Plan Covering Medical, Dental, Vision</li>
<li>Short Term and Long-Term Disability Coverage</li>
<li>401(k) Plan with Company match</li>
<li>Life Insurance</li>
<li>Vacation Time, Sick Leave, Paid Holidays</li>
<li>Paid Paternity and Maternity Leave</li>
</ul>
<p>The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.</p><p></p>
<b>Disclaimer</b>: The compensation and benefits information provided herein is accurate as of the date of this posting.<p></p>
<b>
LTIMindtree</b> is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.<p></p><b><br>
Benefits</b><br>
Compensation range: $90,032.00 to $134,200.00 per year<br>
<b>About LTM</b><br>
LTM is an AI-centric global technology services company and the Business Creativity partner to the world&rsquo;s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI &mdash; enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM &mdash; a Larsen &amp; Toubro company &mdash; owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/</div>

Specialist - Data Engineering

New York Life

<div><div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
</div></div><div><div><div><h4 class="jobSectionHeader"><b>Requisition ID</b></h4>
<div>94774</div>
</div><div><h4 class="jobSectionHeader"><b>Department</b></h4>
<div>NYL Direct</div>
</div><div><h4 class="jobSectionHeader"><b>Job Function</b></h4>
<div>NYL Direct</div>
</div><div><h4 class="jobSectionHeader"><b>Location</b></h4>
<div>Tampa,Florida,United States</div>
</div><div><h4 class="jobSectionHeader"><b>Role Location Designation</b></h4>
<div>Hybrid - 3 days per week</div>
</div></div></div><p></p><div><div><div><div><div>Job Requisition ID: 94774</div>
<p><b>Location Designation:</b> Hybrid - 3 days per week</p><br>
<div></div><p><b>Shape your future</b> with a dynamic internship experience at New York Life.Your internship journey is designed to challenge you through hands-on work experience that will equip you with valuable skills you can use anywhere. You will build your network through collaboration and connection with talented interns and experienced employees through team-building activities, mentorship programs, and fun social events. By the end of your internship, you'll be equipped with new skills and a network that will propel you forward in your career journey.</p><br>
<p></p><p><b>Role Overview</b></p><br>
<p></p><p>Beginning in June and ending in August, this 10-week summer internship is part of the New York Life Direct (NYLD) program, the industry leader in direct-to-consumer life insurance. NYLD delivers streamlined life insurance solutions directly to individuals, bypassing traditional agent models.</p>
<p>As an Advanced Analytics (Data Science) Intern, you will be a member of the Advanced Analytics team, supporting data-driven decision-making across the business. The program offers valuable professional development through practical experience, exposure to senior leaders, and collaboration across functions including Finance, Marketing, Product, Research and Underwriting Strategy, Technology, Actuarial, and Insurance Operations.</p>
<p>The intern will also gain exposure to how modern artificial intelligence, machine learning, and generative AI tools can be applied responsibly to analytics workflows and business problems.This role follows a hybrid work model, with in-person workdays Tuesday-Thursday at our Tampa office.</p><br>
<p></p><p><b>What You'll Do</b></p>
<p>As part of the Advanced Analytics team, you will:</p>
<ul><li>Support team members in daily analytics functions, including data querying, data preparation/manipulation, and exploratory data analysis.</li>
<li>Contribute to multiple analytics projects, which may include:</li>
</ul><ul><li>Test design and analysis</li>
<li>Ad-hoc analytical requests</li>
<li>Development of proof-of-concept models</li>
<li>Evaluation of variables for modeling purposes</li>
</ul><ul><li>Explore and apply artificial intelligence and generative AI tools to support analytics workflows, including data exploration, coding, research, documentation, and analytical proof-of-concept development.</li>
<li>Apply statistical and machine learning approaches to business problems and evaluate model performance using appropriate analytical techniques.</li>
<li>Evaluate the effectiveness, limitations, and appropriate use of AI-assisted approaches, with attention to accuracy, data quality, privacy, and responsible AI practices.</li>
<li>Apply academic learning to real-world business problems in a professional environment.</li>
<li>Build a foundational understanding of New York Life Direct's business and analytics capabilities.</li>
<li>Participate in professional development workshops, networking events, and team-building activities.</li>
<li>Engage with senior professionals through fireside chats and structured networking opportunities.</li>
<li>Be considered for a potential full-time role after graduation.</li><br>
</ul><p></p><p><b>What You'll Accomplish by the End of the Internship</b></p>
<p>By the end of the internship, you will have:</p>
<ul><li>A basic understanding of NYLD's business related to the project areas you support.</li>
<li>A foundational understanding of NYLD's analytics database infrastructure.</li>
<li>Completed several low- to moderate-complexity data tasks in support of assigned analytics projects.</li>
<li>Successfully delivered 1-2 medium- to high-priority analytical projects under manager supervision.</li>
<li>Developed practical experience using modern AI and analytics tools appropriately within a professional data science environment.</li>
<li>Presented insights through influential presentations and discussions, including:</li>
</ul><ul><li>At least one midpoint presentation</li>
<li>One final presentation</li>
</ul><ul><li>Received positive feedback from business stakeholders on the majority of presentations.</li><br>
</ul><p></p><p><b>What You'll Bring</b></p>
<p>You bring strong communication skills, intellectual curiosity, and a desire to learn and grow in a data-driven environment. You are comfortable working with data, thinking analytically, collaborating with others to solve complex problems, and learning new analytical and AI-enabled tools. You demonstrate sound judgment when evaluating analytical results and are interested in understanding both the opportunities and limitations of modern data science and AI approaches.</p><br>
<p></p><p><b>Required Skills &amp; Qualifications</b></p>
<ul><li>Currently enrolled in and pursuing a graduate degree in a technical or quantitative field such as:</li>
</ul><ul><li>Data Science</li>
<li>Statistics</li>
<li>Mathematics</li>
<li>Economics</li>
<li>Computer Science</li>
<li>Business Analytics</li>
<li>Or a related quantitative discipline</li>
</ul><ul><li>Basic proficiency in SQL and a statistical programming language such as Python or R.</li>
<li>Coursework or project experience in statistics, including regression modeling and/or design of experiments, preferred.</li>
<li>Experience with data querying, data preparation, exploratory data analysis, statistical modeling, or machine learning through coursework, research, internships, or project work.</li>
<li>Familiarity with modern AI or generative AI tools and experience using them for analytical, coding, research, or academic project work is preferred.</li>
<li>Experience with cloud-based analytics environments such as AWS is a plus.</li>
<li>Ability to critically evaluate analytical and AI-generated outputs for accuracy, appropriateness, and limitations.</li>
<li>Strong written and verbal communication skills, intellectual curiosity, and demonstrated ability to collaborate effectively.</li>
<li>Demonstrated leadership or meaningful contribution to academic, campus, professional, or community activities.</li><br>
</ul><p></p><p><b><i>To be eligible for this program, you must be authorized to work in the U.S. We do not offer any type of employment-based immigration sponsorship for this program. Likewise, this program is not available to those authorized to work under optional practical training (OPT) or curricular practical training (CPT).</i></b></p><br>
<p></p><p><b>Curious what it&rsquo;s like to intern at NYL? Check out </b><b>#NYLEarlyCareers</b><b> on LinkedIn!</b></p>
<p>#NYLDirectcampus</p><br>
<p></p><div>#LI-MW1</div><br>
<p></p><p><b>Pay Transparency</b></p>
<p>Salary Range: $30/hr</p>
<p>Overtime eligible: Nonexempt</p>
<p>Discretionary bonus eligible: Yes</p>
<p>Sales bonus eligible: No</p><br>
<p></p><p>Actual base salary will be determined based on several factors but not limited to individual&rsquo;s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.</p><br>
<p></p><p><b>Our Diversity Promise</b></p>
<p>We believe in a diverse workforce because it is our mission to advocate for the financial security and success of people in every community. This is why diversity, equity, and inclusion (DEI) are guiding principles that are embedded in our brand and our culture. Click here to learn more about how we have been recognized for our leadership.</p><br>
<p></p><p>Recognized as one of <i>Fortune&rsquo;s</i> World&rsquo;s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.</p><br>
</div><p></p><p>Read More</p></div></div></div></div></div>

2027 New York Life Direct Summer Internship Program - AI & DS

Explore 2+ Pharmaceutical sales representative in Tampa this September. Find roles across top companies and apply now to boost your career.

2 pharmaceutical sales representative jobs In Tampa

Specialist - Data Engineering

2027 New York Life Direct Summer Internship Program - AI & DS